메뉴 건너뛰기




Volumn 10, Issue 7, 2018, Pages

Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: A review of sensor technology, measurement procedures, and data correctionworkflows

Author keywords

2D imager; Calibration; Drone; Hyperspectral; Imaging spectroscopy; Low altitude; Multispectral; Pushbroom; Remote sensing; Remotely Piloted Aircraft Systems (RPAS); Sensors; Snapshot; Spectral; Spectroradiometers; Unmanned aerial systems (UAS); Unmanned aerial vehicles

Indexed keywords

ANTENNAS; CALIBRATION; DATA ACQUISITION; DRONES; HYPERSPECTRAL IMAGING; SENSORS; SPECTRAL RESOLUTION; UNMANNED AERIAL VEHICLES (UAV);

EID: 85050500948     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10071091     Document Type: Review
Times cited : (418)

References (219)
  • 3
    • 84875989699 scopus 로고    scopus 로고
    • Lightweight unmanned aerial vehicles will revolutionize spatial ecology
    • Anderson, K.; Gaston, K.J. Lightweight unmanned aerial vehicles will revolutionize spatial ecology. Front. Ecol. Environ. 2013, 11, 138-146
    • (2013) Front. Ecol. Environ , vol.11 , pp. 138-146
    • Anderson, K.1    Gaston, K.J.2
  • 6
    • 85015707265 scopus 로고    scopus 로고
    • Unmanned aerial vehicles for environmental applications
    • Warner, T.A.; Cracknell, A.P. Unmanned aerial vehicles for environmental applications. Int. J. Remote Sens. 2017, 38, 2029-2036
    • (2017) Int. J. Remote Sens , vol.38 , pp. 2029-2036
    • Warner, T.A.1    Cracknell, A.P.2
  • 7
  • 8
    • 84897562134 scopus 로고    scopus 로고
    • Unmanned aerial systems for photogrammetry and remote sensing: A review
    • Colomina, I.; Molina, P. Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS J. Photogramm. Remote Sens. 2014, 92, 79-97
    • (2014) ISPRS J. Photogramm. Remote Sens , vol.92 , pp. 79-97
    • Colomina, I.1    Molina, P.2
  • 9
    • 84973493588 scopus 로고    scopus 로고
    • Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs)
    • Pajares, G. Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs). Photogramm. Eng. Remote Sens. 2015, 81, 281-330
    • (2015) Photogramm. Eng. Remote Sens , vol.81 , pp. 281-330
    • Pajares, G.1
  • 10
    • 84912144701 scopus 로고    scopus 로고
    • UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas
    • Salamí, E.; Barrado, C.; Pastor, E. UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas. Remote Sens. 2014, 6, 11051-11081
    • (2014) Remote Sens , vol.6 , pp. 11051-11081
    • Salamí, E.1    Barrado, C.2    Pastor, E.3
  • 12
    • 51849148010 scopus 로고    scopus 로고
    • Modeling the World from Internet Photo Collections
    • Snavely, N.; Seitz, S.M.; Szeliski, R. Modeling the World from Internet Photo Collections. Int. J. Comput. Vis. 2008, 80, 189-210
    • (2008) Int. J. Comput. Vis , vol.80 , pp. 189-210
    • Snavely, N.1    Seitz, S.M.2    Szeliski, R.3
  • 14
    • 34047135508 scopus 로고    scopus 로고
    • Spectrodirectional remote sensing: From pixels to processes
    • Schaepman, M.E. Spectrodirectional remote sensing: From pixels to processes. Int. J. Appl. Earth Obs. Geoinf. 2007, 9, 204-223
    • (2007) Int. J. Appl. Earth Obs. Geoinf , vol.9 , pp. 204-223
    • Schaepman, M.E.1
  • 15
    • 85034756154 scopus 로고    scopus 로고
    • Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry
    • Adão, T.; Hruška, J.; Pádua, L.; Bessa, J.; Peres, E.; Morais, R.; Sousa, J. Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry. Remote Sens. 2017, 9, 1110
    • (2017) Remote Sens , vol.9 , pp. 1110
    • Adão, T.1    Hruška, J.2    Pádua, L.3    Bessa, J.4    Peres, E.5    Morais, R.6    Sousa, J.7
  • 16
    • 85014622104 scopus 로고    scopus 로고
    • UAS, sensors, and data processing in agroforestry: A review towards practical applications
    • Pádua, L.; Vanko, J.; Hruška, J.; Adão, T.; Sousa, J.J.; Peres, E.; Morais, R. UAS, sensors, and data processing in agroforestry: A review towards practical applications. Int. J. Remote Sens. 2017, 38, 2349-2391
    • (2017) Int. J. Remote Sens , vol.38 , pp. 2349-2391
    • Pádua, L.1    Vanko, J.2    Hruška, J.3    Adão, T.4    Sousa, J.J.5    Peres, E.6    Morais, R.7
  • 17
    • 84868629775 scopus 로고    scopus 로고
    • The application of small unmanned aerial systems for precision agriculture: A review
    • Zhang, C.; Kovacs, J.M. The application of small unmanned aerial systems for precision agriculture: A review. Precis. Agric. 2012, 13, 693-712
    • (2012) Precis. Agric , vol.13 , pp. 693-712
    • Zhang, C.1    Kovacs, J.M.2
  • 18
    • 0021892045 scopus 로고
    • Imaging Spectrometry for Earth Remote Sensing
    • Goetz, A.F.H.; Vane, G.; Solomon, J.E.; Rock, B.N. Imaging Spectrometry for Earth Remote Sensing. Science 1985, 228, 1147-1153
    • (1985) Science , vol.228 , pp. 1147-1153
    • Goetz, A.F.H.1    Vane, G.2    Solomon, J.E.3    Rock, B.N.4
  • 19
    • 67650234021 scopus 로고    scopus 로고
    • Three decades of hyperspectral remote sensing of the Earth: A personal view
    • Goetz, A.F.H. Three decades of hyperspectral remote sensing of the Earth: A personal view. Remote Sens. Environ. 2009, 113, S5-S16
    • (2009) Remote Sens. Environ , vol.113 , pp. S5-S16
    • Goetz, A.F.H.1
  • 20
    • 14544291010 scopus 로고    scopus 로고
    • Classification of imaging spectrometers for remote sensing applications
    • Sellar, R.G.; Boreman, G.D. Classification of imaging spectrometers for remote sensing applications. Opt. Eng. 2005, 44, 013602
    • (2005) Opt. Eng , vol.44
    • Sellar, R.G.1    Boreman, G.D.2
  • 21
    • 85013040476 scopus 로고    scopus 로고
    • Combining Sun-Induced Chlorophyll Fluorescence and Photochemical Reflectance Index Improves Diurnal Modeling of Gross Primary Productivity
    • Schickling, A.; Matveeva, M.; Damm, A.; Schween, J.;Wahner, A.; Graf, A.; Crewell, S.; Rascher, U. Combining Sun-Induced Chlorophyll Fluorescence and Photochemical Reflectance Index Improves Diurnal Modeling of Gross Primary Productivity. Remote Sens. 2016, 8, 574
    • (2016) Remote Sens , vol.8 , pp. 574
    • Schickling, A.1    Matveeva, M.2    Damm, A.3    Schween, J.4    Wahner, A.5    Graf, A.6    Crewell, S.7    Rascher, U.8
  • 22
    • 84887755825 scopus 로고    scopus 로고
    • A Novel UAV-Based Ultra-Light Weight Spectrometer for Field Spectroscopy
    • Burkart, A.; Cogliati, S.; Schickling, A.; Rascher, U. A Novel UAV-Based Ultra-Light Weight Spectrometer for Field Spectroscopy. IEEE Sens. J. 2014, 14, 62-67
    • (2014) IEEE Sens. J , vol.14 , pp. 62-67
    • Burkart, A.1    Cogliati, S.2    Schickling, A.3    Rascher, U.4
  • 23
    • 85050489272 scopus 로고    scopus 로고
    • (accessed on 13 October 2017)
    • Ocean Optics, Inc. STS Series. Available online: https://oceanoptics.com/product-category/sts-series/ (accessed on 13 October 2017)
  • 24
    • 84979937191 scopus 로고    scopus 로고
    • Angular Dependency of Hyperspectral Measurements over Wheat Characterized by a Novel UAV Based Goniometer
    • Burkart, A.; Aasen, H.; Alonso, L.; Menz, G.; Bareth, G.; Rascher, U. Angular Dependency of Hyperspectral Measurements over Wheat Characterized by a Novel UAV Based Goniometer. Remote Sens. 2015, 7, 725-746
    • (2015) Remote Sens , vol.7 , pp. 725-746
    • Burkart, A.1    Aasen, H.2    Alonso, L.3    Menz, G.4    Bareth, G.5    Rascher, U.6
  • 25
    • 85019888618 scopus 로고    scopus 로고
    • Surface Reflectance and Sun-Induced Fluorescence Spectroscopy Measurements Using a Small Hyperspectral UAS
    • Garzonio, R.; Mauro, B.D.; Colombo, R.; Cogliati, S. Surface Reflectance and Sun-Induced Fluorescence Spectroscopy Measurements Using a Small Hyperspectral UAS. Remote Sens. 2017, 9, 472
    • (2017) Remote Sens , vol.9 , pp. 472
    • Garzonio, R.1    Mauro, B.D.2    Colombo, R.3    Cogliati, S.4
  • 26
    • 85020898480 scopus 로고    scopus 로고
    • The impacts of environmental variables on water reflectance measured using a lightweight unmanned aerial vehicle (UAV)-based spectrometer system
    • Zeng, C.; Richardson, M.; King, D.J. The impacts of environmental variables on water reflectance measured using a lightweight unmanned aerial vehicle (UAV)-based spectrometer system. ISPRS J. Photogramm. Remote Sens. 2017, 130, 217-230
    • (2017) ISPRS J. Photogramm. Remote Sens , vol.130 , pp. 217-230
    • Zeng, C.1    Richardson, M.2    King, D.J.3
  • 27
    • 85021739940 scopus 로고    scopus 로고
    • Unmanned aerial system nadir reflectance and MODIS nadir BRDF-adjusted surface reflectances intercompared over Greenland
    • Burkhart, J.F.; Kylling, A.; Schaaf, C.B.; Wang, Z.; Bogren, W.; Storvold, R.; Solbø, S.; Pedersen, C.A.; Gerland, S. Unmanned aerial system nadir reflectance and MODIS nadir BRDF-adjusted surface reflectances intercompared over Greenland. Cryosphere 2017, 11, 1575-1589
    • (2017) Cryosphere , vol.11 , pp. 1575-1589
    • Burkhart, J.F.1    Kylling, A.2    Schaaf, C.B.3    Wang, Z.4    Bogren, W.5    Storvold, R.6    Solbø, S.7    Pedersen, C.A.8    Gerland, S.9
  • 28
    • 85022344124 scopus 로고    scopus 로고
    • Fusion of Multispectral Imagery and Spectrometer Data in UAV Remote Sensing
    • Zeng, C.; King, D.J.; Richardson, M.; Shan, B. Fusion of Multispectral Imagery and Spectrometer Data in UAV Remote Sensing. Remote Sens. 2017, 9, 696
    • (2017) Remote Sens , vol.9 , pp. 696
    • Zeng, C.1    King, D.J.2    Richardson, M.3    Shan, B.4
  • 29
    • 84876302385 scopus 로고    scopus 로고
    • Developing and evaluating an aerial sensor platform (ASP) to collect multispectral data for deriving management decisions in precision farming
    • Link, J.; Senner, D.; Claupein, W. Developing and evaluating an aerial sensor platform (ASP) to collect multispectral data for deriving management decisions in precision farming. Comput. Electron. Agric. 2013, 94, 20-28
    • (2013) Comput. Electron. Agric , vol.94 , pp. 20-28
    • Link, J.1    Senner, D.2    Claupein, W.3
  • 30
    • 85020002503 scopus 로고    scopus 로고
    • Sensing an intense phytoplankton bloom in the western Taiwan Strait from radiometric measurements on a UAV
    • Shang, S.; Lee, Z.; Lin, G.; Hu, C.; Shi, L.; Zhang, Y.; Li, X.; Wu, J.; Yan, J. Sensing an intense phytoplankton bloom in the western Taiwan Strait from radiometric measurements on a UAV. Remote Sens. Environ. 2017, 198, 85-94
    • (2017) Remote Sens. Environ , vol.198 , pp. 85-94
    • Shang, S.1    Lee, Z.2    Lin, G.3    Hu, C.4    Shi, L.5    Zhang, Y.6    Li, X.7    Wu, J.8    Yan, J.9
  • 31
    • 84981297997 scopus 로고    scopus 로고
    • Development of a Low-Cost Hyperspectral Whiskbroom Imager Using an Optical Fiber Bundle, a Swing Mirror, and Compact Spectrometers
    • Uto, K.; Seki, H.; Saito, G.; Kosugi, Y.; Komatsu, T. Development of a Low-Cost Hyperspectral Whiskbroom Imager Using an Optical Fiber Bundle, a Swing Mirror, and Compact Spectrometers. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2016, 9, 3909-3925
    • (2016) IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens , vol.9 , pp. 3909-3925
    • Uto, K.1    Seki, H.2    Saito, G.3    Kosugi, Y.4    Komatsu, T.5
  • 33
    • 84897618276 scopus 로고    scopus 로고
    • Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods
    • Zarco-Tejada, P.J.; Diaz-Varela, R.; Angileri, V.; Loudjani, P. Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods. Eur. J. Agron. 2014, 55, 89-99
    • (2014) Eur. J. Agron , vol.55 , pp. 89-99
    • Zarco-Tejada, P.J.1    Diaz-Varela, R.2    Angileri, V.3    Loudjani, P.4
  • 34
    • 85050477809 scopus 로고    scopus 로고
    • (accessed on 16 April 2016)
    • Headwall Photonics Inc. Micro-Hyperspec Airborne Sensors. Available online: http://www. headwallphotonics.com/spectral-imaging/hyperspectral/micro-hyperspec (accessed on 16 April 2016)
  • 35
    • 84883497539 scopus 로고    scopus 로고
    • High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices
    • Calderón, R.; Navas-Cortés, J.A.; Lucena, C.; Zarco-Tejada, P.J. High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices. Remote Sens. Environ. 2013, 139, 231-245
    • (2013) Remote Sens. Environ , vol.139 , pp. 231-245
    • Calderón, R.1    Navas-Cortés, J.A.2    Lucena, C.3    Zarco-Tejada, P.J.4
  • 36
    • 84875075969 scopus 로고    scopus 로고
    • Spatio-temporal patterns of chlorophyll fluorescence and physiological and structural indices acquired from hyperspectral imagery as compared with carbon fluxes measured with eddy covariance
    • Zarco-Tejada, P.J.; Morales, A.; Testi, L.; Villalobos, F.J. Spatio-temporal patterns of chlorophyll fluorescence and physiological and structural indices acquired from hyperspectral imagery as compared with carbon fluxes measured with eddy covariance. Remote Sens. Environ. 2013, 133, 102-115
    • (2013) Remote Sens. Environ , vol.133 , pp. 102-115
    • Zarco-Tejada, P.J.1    Morales, A.2    Testi, L.3    Villalobos, F.J.4
  • 37
    • 85017531995 scopus 로고    scopus 로고
    • UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA
    • Sankey, T.; Donager, J.; McVay, J.; Sankey, J.B. UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA. Remote Sens. Environ. 2017, 195, 30-43
    • (2017) Remote Sens. Environ , vol.195 , pp. 30-43
    • Sankey, T.1    Donager, J.2    McVay, J.3    Sankey, J.B.4
  • 38
    • 84902287000 scopus 로고    scopus 로고
    • HyperUAS-Imaging Spectroscopy from a Multirotor Unmanned Aircraft System: HyperUAS-Imaging Spectroscopy from a Multirotor Unmanned
    • Lucieer, A.; Malenovský, Z.; Veness, T.; Wallace, L. HyperUAS-Imaging Spectroscopy from a Multirotor Unmanned Aircraft System: HyperUAS-Imaging Spectroscopy from a Multirotor Unmanned. J. Field Robot. 2014, 31, 571-590
    • (2014) J. Field Robot , vol.31 , pp. 571-590
    • Lucieer, A.1    Malenovský, Z.2    Veness, T.3    Wallace, L.4
  • 41
    • 85050467063 scopus 로고    scopus 로고
    • (accessed on 15 November 2017)
    • HySpex. HySpex Mjolnir V-1240. Available online: https://www.hyspex.no/products/mjolnir.php (accessed on 15 November 2017)
  • 42
    • 85037535528 scopus 로고    scopus 로고
    • Multi-temporal high-resolution imaging spectroscopy with hyperspectral 2D imagers-From theory to application
    • Aasen, H.; Bolten, A. Multi-temporal high-resolution imaging spectroscopy with hyperspectral 2D imagers-From theory to application. Remote Sens. Environ. 2018, 205, 374-389
    • (2018) Remote Sens. Environ , vol.205 , pp. 374-389
    • Aasen, H.1    Bolten, A.2
  • 43
    • 84941263991 scopus 로고    scopus 로고
    • Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance
    • Aasen, H.; Burkart, A.; Bolten, A.; Bareth, G. Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance. ISPRS J. Photogramm. Remote Sens. 2015, 108, 245-259
    • (2015) ISPRS J. Photogramm. Remote Sens , vol.108 , pp. 245-259
    • Aasen, H.1    Burkart, A.2    Bolten, A.3    Bareth, G.4
  • 44
    • 84887537551 scopus 로고    scopus 로고
    • Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture
    • Honkavaara, E.; Saari, H.; Kaivosoja, J.; Pölönen, I.; Hakala, T.; Litkey, P.; Mäkynen, J.; Pesonen, L. Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture. Remote Sens. 2013, 5, 5006-5039
    • (2013) Remote Sens , vol.5 , pp. 5006-5039
    • Honkavaara, E.1    Saari, H.2    Kaivosoja, J.3    Pölönen, I.4    Hakala, T.5    Litkey, P.6    Mäkynen, J.7    Pesonen, L.8
  • 45
    • 70249093892 scopus 로고    scopus 로고
    • Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery
    • Berni, J.A.J.; Zarco-Tejada, P.J.; Sepulcre-Cantó, G.; Fereres, E.; Villalobos, F. Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery. Remote Sens. Environ. 2009, 113, 2380-2388
    • (2009) Remote Sens. Environ , vol.113 , pp. 2380-2388
    • Berni, J.A.J.1    Zarco-Tejada, P.J.2    Sepulcre-Cantó, G.3    Fereres, E.4    Villalobos, F.5
  • 46
    • 84861817585 scopus 로고    scopus 로고
    • Monitoring water stress and fruit quality in an orange orchard under regulated deficit irrigation using narrow-band structural and physiological remote sensing indices
    • Stagakis, S.; González-Dugo, V.; Cid, P.; Guillén-Climent, M.L.; Zarco-Tejada, P.J. Monitoring water stress and fruit quality in an orange orchard under regulated deficit irrigation using narrow-band structural and physiological remote sensing indices. ISPRS J. Photogramm. Remote Sens. 2012, 71, 47-61
    • (2012) ISPRS J. Photogramm. Remote Sens , vol.71 , pp. 47-61
    • Stagakis, S.1    González-Dugo, V.2    Cid, P.3    Guillén-Climent, M.L.4    Zarco-Tejada, P.J.5
  • 48
    • 84926633657 scopus 로고    scopus 로고
    • An automatic object-based method for optimal thresholding in UAV images: Application for vegetation detection in herbaceous crops
    • Torres-Sánchez, J.; López-Granados, F.; Peña, J.M. An automatic object-based method for optimal thresholding in UAV images: Application for vegetation detection in herbaceous crops. Comput. Electron. Agric. 2015, 114, 43-52
    • (2015) Comput. Electron. Agric , vol.114 , pp. 43-52
    • Torres-Sánchez, J.1    López-Granados, F.2    Peña, J.M.3
  • 50
    • 84870707226 scopus 로고    scopus 로고
    • Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing
    • Kelcey, J.; Lucieer, A. Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing. Remote Sens. 2012, 4, 1462-1493
    • (2012) Remote Sens , vol.4 , pp. 1462-1493
    • Kelcey, J.1    Lucieer, A.2
  • 51
    • 85050458712 scopus 로고    scopus 로고
    • (accessed on 14 December 2017)
    • MicaSense. Parrot Sequoia. Available online: https://www.micasense.com/parrotsequoia/ (accessed on 14 December 2017)
  • 52
    • 85050495580 scopus 로고    scopus 로고
    • (accessed on 14 December 2017)
    • MicaSense. RedEdge-M. Available online: https://www.micasense.com/rededge-m/ (accessed on 14 December 2017)
  • 53
    • 85050504404 scopus 로고    scopus 로고
    • (accessed on 14 December 2017)
    • SAL. Engineering MAIA-The Multispectral Camera. Available online: http://www.spectralcam.com/ (accessed on 14 December 2017)
  • 54
    • 85025697909 scopus 로고    scopus 로고
    • Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak
    • Dash, J.P.; Watt, M.S.; Pearse, G.D.; Heaphy, M.; Dungey, H.S. Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak. ISPRS J. Photogramm. Remote Sens. 2017, 131, 1-14
    • (2017) ISPRS J. Photogramm. Remote Sens , vol.131 , pp. 1-14
    • Dash, J.P.1    Watt, M.S.2    Pearse, G.D.3    Heaphy, M.4    Dungey, H.S.5
  • 55
    • 85041482068 scopus 로고    scopus 로고
    • Comparison of UAV and WorldView-2 imagery for mapping leaf area index of mangrove forest
    • Tian, J.; Wang, L.; Li, X.; Gong, H.; Shi, C.; Zhong, R.; Liu, X. Comparison of UAV and WorldView-2 imagery for mapping leaf area index of mangrove forest. Int. J. Appl. Earth Obs. Geoinf. 2017, 61, 22-31
    • (2017) Int. J. Appl. Earth Obs. Geoinf , vol.61 , pp. 22-31
    • Tian, J.1    Wang, L.2    Li, X.3    Gong, H.4    Shi, C.5    Zhong, R.6    Liu, X.7
  • 57
    • 84882656099 scopus 로고    scopus 로고
    • A PRI-based water stress index combining structural and chlorophyll effects: Assessment using diurnal narrow-band airborne imagery and the CWSI thermal index
    • Zarco-Tejada, P.J.; González-Dugo, V.; Williams, L.E.; Suárez, L.; Berni, J.A.J.; Goldhamer, D.; Fereres, E. A PRI-based water stress index combining structural and chlorophyll effects: Assessment using diurnal narrow-band airborne imagery and the CWSI thermal index. Remote Sens. Environ. 2013, 138, 38-50
    • (2013) Remote Sens. Environ , vol.138 , pp. 38-50
    • Zarco-Tejada, P.J.1    González-Dugo, V.2    Williams, L.E.3    Suárez, L.4    Berni, J.A.J.5    Goldhamer, D.6    Fereres, E.7
  • 58
    • 84990202914 scopus 로고    scopus 로고
    • A Programmable Aerial Multispectral Camera System for In-Season Crop Biomass and Nitrogen Content Estimation
    • Geipel, J.; Link, J.; Wirwahn, J.; Claupein, W. A Programmable Aerial Multispectral Camera System for In-Season Crop Biomass and Nitrogen Content Estimation. Agriculture 2016, 6, 4
    • (2016) Agriculture , vol.6 , pp. 4
    • Geipel, J.1    Link, J.2    Wirwahn, J.3    Claupein, W.4
  • 59
    • 77951204455 scopus 로고    scopus 로고
    • Digital Airborne Photogrammetry-A New Tool for Quantitative Remote Sensing-A State-of-the-Art Review On Radiometric Aspects of Digital Photogrammetric Images
    • Honkavaara, E.; Arbiol, R.; Markelin, L.; Martinez, L.; Cramer, M.; Bovet, S.; Chandelier, L.; Ilves, R.; Klonus, S.; Marshal, P.; et al. Digital Airborne Photogrammetry-A New Tool for Quantitative Remote Sensing-A State-of-the-Art Review On Radiometric Aspects of Digital Photogrammetric Images. Remote Sens. 2009, 1, 577-605
    • (2009) Remote Sens , vol.1 , pp. 577-605
    • Honkavaara, E.1    Arbiol, R.2    Markelin, L.3    Martinez, L.4    Cramer, M.5    Bovet, S.6    Chandelier, L.7    Ilves, R.8    Klonus, S.9    Marshal, P.10
  • 61
    • 85050488072 scopus 로고    scopus 로고
    • (accessed on 11 October 2017)
    • SENOP. Optronics Hyperspectral. Available online: http://senop.fi/en/optronics-hyperspectral (accessed on 11 October 2017)
  • 62
    • 80455153924 scopus 로고    scopus 로고
    • Unmanned aerial vehicle (UAV) operated megapixel spectral camera
    • Kamerman, G.W., Steinvall, O., Bishop, G.J., Gonglewski, J.D., Lewis, K.L., Hollins, R.C., Merlet, T.J., Eds.; SPIE: Bellingham, WA, USA
    • Mäkynen, J.; Holmlund, C.; Saari, H.; Ojala, K.; Antila, T. Unmanned aerial vehicle (UAV) operated megapixel spectral camera. In International Society for Optics and Photonics; Kamerman, G.W., Steinvall, O., Bishop, G.J., Gonglewski, J.D., Lewis, K.L., Hollins, R.C., Merlet, T.J., Eds.; SPIE: Bellingham, WA, USA, 2011; p. 81860Y
    • (2011) In International Society for Optics and Photonics
    • Mäkynen, J.1    Holmlund, C.2    Saari, H.3    Ojala, K.4    Antila, T.5
  • 65
    • 84971430929 scopus 로고    scopus 로고
    • Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spectral Ranges Onboard a Small Unmanned Airborne Vehicle (UAV)
    • Honkavaara, E.; Eskelinen, M.A.; Polonen, I.; Saari, H.; Ojanen, H.; Mannila, R.; Holmlund, C.; Hakala, T.; Litkey, P.; Rosnell, T.; et al. Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spectral Ranges Onboard a Small Unmanned Airborne Vehicle (UAV). IEEE Trans. Geosci. Remote Sens. 2016, 54, 5440-5454
    • (2016) IEEE Trans. Geosci. Remote Sens , vol.54 , pp. 5440-5454
    • Honkavaara, E.1    Eskelinen, M.A.2    Polonen, I.3    Saari, H.4    Ojanen, H.5    Mannila, R.6    Holmlund, C.7    Hakala, T.8    Litkey, P.9    Rosnell, T.10
  • 66
    • 84922624134 scopus 로고    scopus 로고
    • Short-Wave Infrared (SWIR) Spectral Imager Based on Fabry-Perot Interferometer for Remote Sensing
    • Meynart, R., Neeck, S.P., Shimoda, H., Eds.Bellingham, WA, USA
    • Mannila, R.; Holmlund, C.; Ojanen, H.J.; Näsilä, A.; Saari, H. Short-Wave Infrared (SWIR) Spectral Imager Based on Fabry-Perot Interferometer for Remote Sensing; Meynart, R., Neeck, S.P., Shimoda, H., Eds.; International Society for Optics and Photonics: Bellingham, WA, USA, 2014; p. 92411M
    • (2014) International Society for Optics and Photonics:
    • Mannila, R.1    Holmlund, C.2    Ojanen, H.J.3    Näsilä, A.4    Saari, H.5
  • 68
    • 85010676775 scopus 로고    scopus 로고
    • The Need for Accurate Geometric and Radiometric Corrections of Drone-Borne Hyperspectral Data for Mineral Exploration: MEPHySTo-A Toolbox for Pre-Processing Drone-Borne Hyperspectral Data
    • Jakob, S.; Zimmermann, R.; Gloaguen, R. The Need for Accurate Geometric and Radiometric Corrections of Drone-Borne Hyperspectral Data for Mineral Exploration: MEPHySTo-A Toolbox for Pre-Processing Drone-Borne Hyperspectral Data. Remote Sens. 2017, 9, 88
    • (2017) Remote Sens , vol.9 , pp. 88
    • Jakob, S.1    Zimmermann, R.2    Gloaguen, R.3
  • 70
    • 85019892145 scopus 로고    scopus 로고
    • Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle
    • Roosjen, P.; Suomalainen, J.; Bartholomeus, H.; Kooistra, L.; Clevers, J. Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle. Remote Sens. 2017, 9, 417
    • (2017) Remote Sens , vol.9 , pp. 417
    • Roosjen, P.1    Suomalainen, J.2    Bartholomeus, H.3    Kooistra, L.4    Clevers, J.5
  • 71
    • 85040654514 scopus 로고    scopus 로고
    • Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data-Potential of unmanned aerial vehicle imagery
    • Roosjen, P.P.J.; Brede, B.; Suomalainen, J.M.; Bartholomeus, H.M.; Kooistra, L.; Clevers, J.G.P.W. Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data-Potential of unmanned aerial vehicle imagery. Int. J. Appl. Earth Obs. Geoinf. 2018, 66, 14-26
    • (2018) Int. J. Appl. Earth Obs. Geoinf , vol.66 , pp. 14-26
    • Roosjen, P.P.J.1    Brede, B.2    Suomalainen, J.M.3    Bartholomeus, H.M.4    Kooistra, L.5    Clevers, J.G.P.W.6
  • 74
    • 85037543520 scopus 로고    scopus 로고
    • Hyperspectral UAV-imagery and photogrammetric canopy height model in estimating forest stand variables
    • Tuominen, S.; Balazs, A.; Honkavaara, E.; Pölönen, I.; Saari, H.; Hakala, T.; Viljanen, N. Hyperspectral UAV-imagery and photogrammetric canopy height model in estimating forest stand variables. Silva Fenn. 2017, 51, 7721
    • (2017) Silva Fenn , vol.51 , pp. 7721
    • Tuominen, S.1    Balazs, A.2    Honkavaara, E.3    Pölönen, I.4    Saari, H.5    Hakala, T.6    Viljanen, N.7
  • 76
    • 84867314208 scopus 로고    scopus 로고
    • Snapshot advantage: A review of the light collection improvement for parallel high-dimensional measurement systems
    • Hagen, N.; Kester, R.T.; Gao, L.; Tkaczyk, T.S. Snapshot advantage: A review of the light collection improvement for parallel high-dimensional measurement systems. Opt. Eng. 2012, 51, 111702
    • (2012) Opt. Eng , vol.51
    • Hagen, N.1    Kester, R.T.2    Gao, L.3    Tkaczyk, T.S.4
  • 77
    • 84885455739 scopus 로고    scopus 로고
    • Review of snapshot spectral imaging technologies
    • Hagen, N.; Kudenov, M.W. Review of snapshot spectral imaging technologies. Opt. Eng. 2013, 52, 090901
    • (2013) Opt. Eng , vol.52
    • Hagen, N.1    Kudenov, M.W.2
  • 79
    • 85050479799 scopus 로고    scopus 로고
    • (accessed on 21 April 2016)
    • Cubert. GmbH UHD 185-Firefly. Available online: http://cubert-gmbh.de/uhd-185-firefly/ (accessed on 21 April 2016)
  • 80
    • 85017612753 scopus 로고    scopus 로고
    • Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models
    • Yuan, H.; Yang, G.; Li, C.;Wang, Y.; Liu, J.; Yu, H.; Feng, H.; Xu, B.; Zhao, X.; Yang, X. Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models. Remote Sens. 2017, 9, 309
    • (2017) Remote Sens , vol.9 , pp. 309
    • Yuan, H.1    Yang, G.2    Li, C.3    Wang, Y.4    Liu, J.5    Yu, H.6    Feng, H.7    Xu, B.8    Zhao, X.9    Yang, X.10
  • 81
    • 85050474961 scopus 로고    scopus 로고
    • (accessed on 11 October 2017)
    • IMEC. Hyperspectral Imaging. Available online: https://www.imec-int.com/en/hyperspectral-imaging (accessed on 11 October 2017)
  • 83
    • 85050459745 scopus 로고    scopus 로고
    • (accessed on 10 April 2016)
    • Cubert. GmbH Butterfly X2 Announced. Available online: http://cubert-gmbh.de/2016/02/11/butterflyx2-announced/ (accessed on 10 April 2016)
  • 84
    • 85050506210 scopus 로고    scopus 로고
    • (accessed on 11 October 2017)
    • Photon Focus. AG Hyperspectral Cameras. Available online: http://www.photonfocus.com/de/produkte/ kamerafinder/no_cache=1&cid=9&pfid=2 (accessed on 11 October 2017)
  • 85
    • 85050474959 scopus 로고    scopus 로고
    • (accessed on 9 July 2018)
    • Constantin, D.; Rehak, M.; Akhtman, Y.; Liebisch, F. Detection of Crop Properties by Means of Hyperspectral Remote Sensing from a Micro UAV. Available online: https://www.researchgate.net/publication/ 301920193_Detection_of_crop_properties_by_means_of_hyperspectral_remote_sensing_from_a_micro_ UAV (accessed on 9 July 2018)
  • 86
    • 85050490557 scopus 로고    scopus 로고
    • (accessed on 9 July 2018)
    • Khanna, R.; Sa, I.; Nieto, J.; Siegwart, R. On Field Radiometric Calibration for Multispectral Cameras. Available online: https://ieeexplore.ieee.org/document/7989768/ (accessed on 9 July 2018)
  • 88
    • 85050481541 scopus 로고    scopus 로고
    • (accessed on 1 March 2018)
    • IMEC. Imec Demonstrates Shortwave Infrared (SWIR) Range Hyperspectral Imaging Camera. Available online: https://www.imec-int.com/en/articles/imec-demonstrates-shortwave-infrared-swirrange-hyperspectral-imaging-camera (accessed on 1 March 2018)
  • 89
    • 85050509100 scopus 로고    scopus 로고
    • (accessed on 14 December 2017)
    • Delaure, B. Cubert and VITO Remote Sensing Introduced Compact Hyperspectral COSI-cam at EGU 2016. Available online: https://vito.be/en/news-events/news/cubert-and-vito-remote-sensing-introducedcompact-hyperspectral-cosi-cam-at-egu-2016 (accessed on 14 December 2017)
  • 92
    • 85021777457 scopus 로고    scopus 로고
    • Commercial Off-the-Shelf Digital Cameras on Unmanned Aerial Vehicles for Multitemporal Monitoring of Vegetation Reflectance and NDVI
    • Berra, E.F.; Gaulton, R.; Barr, S. Commercial Off-the-Shelf Digital Cameras on Unmanned Aerial Vehicles for Multitemporal Monitoring of Vegetation Reflectance and NDVI. IEEE Trans. Geosci. Remote Sens. 2017, 55, 4878-4886
    • (2017) IEEE Trans. Geosci. Remote Sens , vol.55 , pp. 4878-4886
    • Berra, E.F.1    Gaulton, R.2    Barr, S.3
  • 93
    • 85050500551 scopus 로고    scopus 로고
    • (accessed on 1 March 2018)
    • Adobe Systems Incorporated. Digital Negative (DNG), Adobe DNG Converter | Adobe Photoshop CC. Available online: https://helpx.adobe.com/photoshop/digital-negative.html (accessed on 1 March 2018)
  • 94
    • 84942543941 scopus 로고    scopus 로고
    • The Impact of the Calibration Method on the Accuracy of Point Clouds Derived Using Unmanned Aerial Vehicle Multi-View Stereopsis
    • Harwin, S.; Lucieer, A.; Osborn, J. The Impact of the Calibration Method on the Accuracy of Point Clouds Derived Using Unmanned Aerial Vehicle Multi-View Stereopsis. Remote Sens. 2015, 7, 11933-11953
    • (2015) Remote Sens , vol.7 , pp. 11933-11953
    • Harwin, S.1    Lucieer, A.2    Osborn, J.3
  • 95
    • 84963958145 scopus 로고    scopus 로고
    • Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds
    • Wallace, L.; Lucieer, A.; Malenovský, Z.; Turner, D.; Vopěnka, P. Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds. Forests 2016, 7, 62
    • (2016) Forests , vol.7 , pp. 62
    • Wallace, L.1    Lucieer, A.2    Malenovský, Z.3    Turner, D.4    Vopěnka, P.5
  • 96
    • 84941199750 scopus 로고    scopus 로고
    • Snow Depth Retrieval with UAS Using Photogrammetric Techniques
    • Jagt, B.; Lucieer, A.; Wallace, L.; Turner, D.; Durand, M. Snow Depth Retrieval with UAS Using Photogrammetric Techniques. Geosciences 2015, 5, 264-285
    • (2015) Geosciences , vol.5 , pp. 264-285
    • Jagt, B.1    Lucieer, A.2    Wallace, L.3    Turner, D.4    Durand, M.5
  • 97
  • 98
    • 85018950787 scopus 로고    scopus 로고
    • Comparison of MEMS-Based and FOG-Based IMUs to Determine Sensor Pose on an Unmanned Aircraft System
    • Gautam, D.; Lucieer, A.; Malenovský, Z.; Watson, C. Comparison of MEMS-Based and FOG-Based IMUs to Determine Sensor Pose on an Unmanned Aircraft System. J. Surv. Eng. 2017, 143, 04017009
    • (2017) J. Surv. Eng , vol.143
    • Gautam, D.1    Lucieer, A.2    Malenovský, Z.3    Watson, C.4
  • 99
    • 33746874411 scopus 로고    scopus 로고
    • Image-based 3D Modelling: A Review
    • Remondino, F.; El-Hakim, S. Image-based 3D Modelling: A Review. Photogramm. Rec. 2006, 21, 269-291
    • (2006) Photogramm. Rec , vol.21 , pp. 269-291
    • Remondino, F.1    El-Hakim, S.2
  • 100
    • 84874519438 scopus 로고    scopus 로고
    • Texts in Computer Science; Springer: London, UK
    • Szeliski, R. Computer Vision; Texts in Computer Science; Springer: London, UK, 2011; ISBN 978-1-84882-934-3
    • (2011) Computer Vision
    • Szeliski, R.1
  • 101
    • 84867062105 scopus 로고    scopus 로고
    • The Fields of View and Directional Response Functions of Two Field Spectroradiometers
    • Mac Arthur, A.; MacLellan, C.J.; Malthus, T. The Fields of View and Directional Response Functions of Two Field Spectroradiometers. IEEE Trans. Geosci. Remote Sens. 2012, 50, 3892-3907
    • (2012) IEEE Trans. Geosci. Remote Sens , vol.50 , pp. 3892-3907
    • Mac Arthur, A.1    MacLellan, C.J.2    Malthus, T.3
  • 102
    • 0037063150 scopus 로고    scopus 로고
    • Geo-atmospheric processing of airborne imaging spectrometry dat. Part 2: Atmospheric/topographic correction
    • Richter, R.; Schläpfer, D. Geo-atmospheric processing of airborne imaging spectrometry data. Part 2: Atmospheric/topographic correction. Int. J. Remote Sens. 2002, 23, 2631-2649
    • (2002) Int. J. Remote Sens , vol.23 , pp. 2631-2649
    • Richter, R.1    Schläpfer, D.2
  • 103
    • 85030217216 scopus 로고    scopus 로고
    • PUSHBROOM HYPERSPECTRAL IMAGING FROM AN UNMANNED AIRCRAFT SYSTEM (UAS)-GEOMETRIC PROCESSINGWORKFLOW AND ACCURACY ASSESSMENT
    • Turner, D.; Lucieer, A.; McCabe, M.; Parkes, S.; Clarke, I. PUSHBROOM HYPERSPECTRAL IMAGING FROM AN UNMANNED AIRCRAFT SYSTEM (UAS)-GEOMETRIC PROCESSINGWORKFLOW AND ACCURACY ASSESSMENT. ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2017, XLII-2/W6, 379-384
    • (2017) ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci , vol.XLII-2/W6 , pp. 379-384
    • Turner, D.1    Lucieer, A.2    McCabe, M.3    Parkes, S.4    Clarke, I.5
  • 104
    • 84903542704 scopus 로고    scopus 로고
    • Development of a software to optimize and plan the acquisitions from UAV and a first application in a post-seismic environment
    • Baiocchi, V.; Dominici, D.; Milone, M.V.; Mormile, M. Development of a software to optimize and plan the acquisitions from UAV and a first application in a post-seismic environment. Eur. J. Remote Sens. 2014, 47, 477-496
    • (2014) Eur. J. Remote Sens , vol.47 , pp. 477-496
    • Baiocchi, V.1    Dominici, D.2    Milone, M.V.3    Mormile, M.4
  • 105
    • 84861435024 scopus 로고    scopus 로고
    • An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds
    • Turner, D.; Lucieer, A.; Watson, C. An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds. Remote Sens. 2012, 4, 1392-1410
    • (2012) Remote Sens , vol.4 , pp. 1392-1410
    • Turner, D.1    Lucieer, A.2    Watson, C.3
  • 106
    • 80054052741 scopus 로고    scopus 로고
    • Monocular-SLAM-based navigation for autonomous micro helicopters in GPS-denied environments
    • Weiss, S.; Scaramuzza, D.; Siegwart, R. Monocular-SLAM-based navigation for autonomous micro helicopters in GPS-denied environments. J. Field Robot. 2011, 28, 854-874
    • (2011) J. Field Robot , vol.28 , pp. 854-874
    • Weiss, S.1    Scaramuzza, D.2    Siegwart, R.3
  • 107
    • 85019747403 scopus 로고    scopus 로고
    • Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery
    • Habib, A.; Han, Y.; Xiong, W.; He, F.; Zhang, Z.; Crawford, M. Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery. Remote Sens. 2016, 8, 796
    • (2016) Remote Sens , vol.8 , pp. 796
    • Habib, A.1    Han, Y.2    Xiong, W.3    He, F.4    Zhang, Z.5    Crawford, M.6
  • 108
    • 84943185298 scopus 로고    scopus 로고
    • Low-altitude Terrestrial Spectroscopy from a Pushbroom Sensor
    • Ramirez-Paredes, J.-P.; Lary, D.J.; Gans, N.R. Low-altitude Terrestrial Spectroscopy from a Pushbroom Sensor. J. Field Robot. 2016, 33, 837-852
    • (2016) J. Field Robot , vol.33 , pp. 837-852
    • Ramirez-Paredes, J.-P.1    Lary, D.J.2    Gans, N.R.3
  • 109
    • 79956277051 scopus 로고    scopus 로고
    • Remote Sensing Image Registration Techniques: A Survey
    • Elmoataz, A., Lezoray, O., Nouboud, F., Mammass, D., Meunier, J., Eds.; Springer: Berlin/Heidelberg, Germany
    • Dawn, S.; Saxena, V.; Sharma, B. Remote Sensing Image Registration Techniques: A Survey. In Image and Signal Processing; Elmoataz, A., Lezoray, O., Nouboud, F., Mammass, D., Meunier, J., Eds.; Springer: Berlin/Heidelberg, Germany, 2010; Volume 6134, pp. 103-112. ISBN 978-3-642-13680-1
    • (2010) In Image and Signal Processing , vol.6134 , pp. 103-112
    • Dawn, S.1    Saxena, V.2    Sharma, B.3
  • 111
    • 84957928091 scopus 로고    scopus 로고
    • Band-to-band registration and ortho-rectification of multilens/multispectral imagery: A case study of MiniMCA-12 acquired by a fixed-wing UAS
    • Jhan, J.-P.; Rau, J.-Y.; Huang, C.-Y. Band-to-band registration and ortho-rectification of multilens/multispectral imagery: A case study of MiniMCA-12 acquired by a fixed-wing UAS. ISPRS J. Photogramm. Remote Sens. 2016, 114, 66-77
    • (2016) ISPRS J. Photogramm. Remote Sens , vol.114 , pp. 66-77
    • Jhan, J.-P.1    Rau, J.-Y.2    Huang, C.-Y.3
  • 112
    • 84856748060 scopus 로고    scopus 로고
    • Multispectral Remote Sensing from Unmanned Aircraft: Image ProcessingWorkflows and Applications for Rangeland Environments
    • Laliberte, A.S.; Goforth, M.A.; Steele, C.M.; Rango, A. Multispectral Remote Sensing from Unmanned Aircraft: Image ProcessingWorkflows and Applications for Rangeland Environments. Remote Sens. 2011, 3, 2529-2551
    • (2011) Remote Sens , vol.3 , pp. 2529-2551
    • Laliberte, A.S.1    Goforth, M.A.2    Steele, C.M.3    Rango, A.4
  • 113
    • 84874595926 scopus 로고    scopus 로고
    • Configuration and Specifications of an Unmanned Aerial Vehicle (UAV) for Early Site Specific Weed Management
    • Torres-Sánchez, J.; López-Granados, F.; De Castro, A.I.; Peña-Barragán, J.M. Configuration and Specifications of an Unmanned Aerial Vehicle (UAV) for Early Site Specific Weed Management. PLoS ONE 2013, 8, e58210
    • (2013) PLoS ONE , vol.8
    • Torres-Sánchez, J.1    López-Granados, F.2    De Castro, A.I.3    Peña-Barragán, J.M.4
  • 114
    • 84901479188 scopus 로고    scopus 로고
    • Spatial Co-Registration of Ultra-High Resolution Visible, Multispectral and Thermal Images Acquired with a Micro-UAV over Antarctic Moss Beds
    • Turner, D.; Lucieer, A.; Malenovský, Z.; King, D.; Robinson, S. Spatial Co-Registration of Ultra-High Resolution Visible, Multispectral and Thermal Images Acquired with a Micro-UAV over Antarctic Moss Beds. Remote Sens. 2014, 6, 4003-4024
    • (2014) Remote Sens , vol.6 , pp. 4003-4024
    • Turner, D.1    Lucieer, A.2    Malenovský, Z.3    King, D.4    Robinson, S.5
  • 115
    • 84987984322 scopus 로고    scopus 로고
    • Automatic Descriptor-Based Co-Registration of Frame Hyperspectral Data
    • Vakalopoulou, M.; Karantzalos, K. Automatic Descriptor-Based Co-Registration of Frame Hyperspectral Data. Remote Sens. 2014, 6, 3409-3426
    • (2014) Remote Sens , vol.6 , pp. 3409-3426
    • Vakalopoulou, M.1    Karantzalos, K.2
  • 119
    • 84908087599 scopus 로고    scopus 로고
    • Operational BRDF Effects Correction for Wide-Field-of-View Optical Scanners (BREFCOR)
    • Schläpfer, D.; Richter, R.; Feingersh, T. Operational BRDF Effects Correction for Wide-Field-of-View Optical Scanners (BREFCOR). IEEE Trans. Geosci. Remote Sens. 2015, 53, 1855-1864
    • (2015) IEEE Trans. Geosci. Remote Sens , vol.53 , pp. 1855-1864
    • Schläpfer, D.1    Richter, R.2    Feingersh, T.3
  • 125
    • 84855428733 scopus 로고    scopus 로고
    • Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera
    • Zarco-Tejada, P.J.; González-Dugo, V.; Berni, J.A.J. Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera. Remote Sens. Environ. 2012, 117, 322-337
    • (2012) Remote Sens. Environ , vol.117 , pp. 322-337
    • Zarco-Tejada, P.J.1    González-Dugo, V.2    Berni, J.A.J.3
  • 126
    • 84902159044 scopus 로고    scopus 로고
    • Hyperspectral Remote Sensing with the UAS "Stuttgarter Adler"-System Setup, Calibration and First Results
    • Büttner, A.; Röser, H.-P. Hyperspectral Remote Sensing with the UAS "Stuttgarter Adler"-System Setup, Calibration and First Results. Photogramm. Fernerkund. Geoinf. 2014, 2014, 265-274
    • (2014) Photogramm. Fernerkund. Geoinf , vol.2014 , pp. 265-274
    • Büttner, A.1    Röser, H.-P.2
  • 128
    • 85010815537 scopus 로고    scopus 로고
    • Calibration Procedures for Imaging Spectrometers: Improving Data Quality from Satellite Missions to UAV Campaigns
    • Meynart, R., Neeck, S.P., Kimura, T., Shimoda, H., Eds.Bellingham, WA, USA
    • Brachmann, J.F.S.; Baumgartner, A.; Lenhard, K. Calibration Procedures for Imaging Spectrometers: Improving Data Quality from Satellite Missions to UAV Campaigns; Meynart, R., Neeck, S.P., Kimura, T., Shimoda, H., Eds.; International Society for Optics and Photonics: Bellingham, WA, USA, 2016; p. 1000010
    • (2016) International Society for Optics and Photonics:
    • Brachmann, J.F.S.1    Baumgartner, A.2    Lenhard, K.3
  • 129
    • 85022326693 scopus 로고    scopus 로고
    • The DOM Generation and Precise Radiometric Calibration of a UAV-Mounted Miniature Snapshot Hyperspectral Imager
    • Yang, G.; Li, C.; Wang, Y.; Yuan, H.; Feng, H.; Xu, B.; Yang, X. The DOM Generation and Precise Radiometric Calibration of a UAV-Mounted Miniature Snapshot Hyperspectral Imager. Remote Sens. 2017, 9, 642
    • (2017) Remote Sens , vol.9 , pp. 642
    • Yang, G.1    Li, C.2    Wang, Y.3    Yuan, H.4    Feng, H.5    Xu, B.6    Yang, X.7
  • 130
    • 61349186319 scopus 로고    scopus 로고
    • Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring from an Unmanned Aerial Vehicle
    • Berni, J.; Zarco-Tejada, P.J.; Suarez, L.; Fereres, E. Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring from an Unmanned Aerial Vehicle. IEEE Trans. Geosci. Remote Sens. 2009, 47, 722-738
    • (2009) IEEE Trans. Geosci. Remote Sens , vol.47 , pp. 722-738
    • Berni, J.1    Zarco-Tejada, P.J.2    Suarez, L.3    Fereres, E.4
  • 131
    • 84896960074 scopus 로고    scopus 로고
    • Vicarious Radiometric Calibration of a Multispectral Camera on Board an Unmanned Aerial System
    • Del Pozo, S.; Rodríguez-Gonzálvez, P.; Hernández-López, D.; Felipe-García, B. Vicarious Radiometric Calibration of a Multispectral Camera on Board an Unmanned Aerial System. Remote Sens. 2014, 6, 1918-1937
    • (2014) Remote Sens , vol.6 , pp. 1918-1937
    • Del Pozo, S.1    Rodríguez-Gonzálvez, P.2    Hernández-López, D.3    Felipe-García, B.4
  • 132
    • 78049528821 scopus 로고    scopus 로고
    • Vignette and Exposure Calibration and Compensation
    • Goldman, D.B. Vignette and Exposure Calibration and Compensation. IEEE Trans. Pattern Anal. Mach. Intell. 2010, 32, 2276-2288
    • (2010) IEEE Trans. Pattern Anal. Mach. Intell , vol.32 , pp. 2276-2288
    • Goldman, D.B.1
  • 133
  • 134
    • 11344288145 scopus 로고    scopus 로고
    • IEEE Trans
    • Wonpil Yu Practical anti-vignetting methods for digital cameras. IEEE Trans. Consum. Electron. 2004, 50, 975-983
    • (2004) Consum. Electron , vol.50 , pp. 975-983
  • 138
    • 84905899612 scopus 로고    scopus 로고
    • Spectral Calibration of Hyperspectral Data Observed From a Hyperspectrometer Loaded on an Unmanned Aerial Vehicle Platform
    • Liu, Y.; Wang, T.; Ma, L.; Wang, N. Spectral Calibration of Hyperspectral Data Observed From a Hyperspectrometer Loaded on an Unmanned Aerial Vehicle Platform. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2014, 7, 2630-2638
    • (2014) IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens , vol.7 , pp. 2630-2638
    • Liu, Y.1    Wang, T.2    Ma, L.3    Wang, N.4
  • 139
    • 80052520511 scopus 로고    scopus 로고
    • SpecCal: Novel software for in-field spectral characterization of high-resolution spectrometers
    • Busetto, L.; Meroni, M.; Crosta, G.F.; Guanter, L.; Colombo, R. SpecCal: Novel software for in-field spectral characterization of high-resolution spectrometers. Comput. Geosci. 2011, 37, 1685-1691
    • (2011) Comput. Geosci , vol.37 , pp. 1685-1691
    • Busetto, L.1    Meroni, M.2    Crosta, G.F.3    Guanter, L.4    Colombo, R.5
  • 144
    • 77449140731 scopus 로고    scopus 로고
    • Polarised Multiangular Reflectance Measurements Using the Finnish Geodetic Institute Field Goniospectrometer
    • Suomalainen, J.; Hakala, T.; Peltoniemi, J.; Puttonen, E. Polarised Multiangular Reflectance Measurements Using the Finnish Geodetic Institute Field Goniospectrometer. Sensors 2009, 9, 3891-3907
    • (2009) Sensors , vol.9 , pp. 3891-3907
    • Suomalainen, J.1    Hakala, T.2    Peltoniemi, J.3    Puttonen, E.4
  • 147
    • 0001437515 scopus 로고    scopus 로고
    • Correcting global solar ultraviolet spectra recorded by a Brewer spectroradiometer for its angular response error
    • Bais, A.F.; Kazadzis, S.; Balis, D.; Zerefos, C.S.; Blumthaler, M. Correcting global solar ultraviolet spectra recorded by a Brewer spectroradiometer for its angular response error. Appl. Opt. 1998, 37, 6339
    • (1998) Appl. Opt , vol.37 , pp. 6339
    • Bais, A.F.1    Kazadzis, S.2    Balis, D.3    Zerefos, C.S.4    Blumthaler, M.5
  • 149
    • 17344370390 scopus 로고    scopus 로고
    • Technical note: The libRadtran software package for radiative transfer calculations-Description and examples of use
    • Mayer, B.; Kylling, A. Technical note: The libRadtran software package for radiative transfer calculations-Description and examples of use. Atmos. Chem. Phys. 2005, 5, 1855-1877
    • (2005) Atmos. Chem. Phys , vol.5 , pp. 1855-1877
    • Mayer, B.1    Kylling, A.2
  • 150
    • 84961859347 scopus 로고    scopus 로고
    • Tilt error in cryospheric surface radiation measurements at high latitudes: A model study
    • Bogren, W.S.; Burkhart, J.F.; Kylling, A. Tilt error in cryospheric surface radiation measurements at high latitudes: A model study. Cryosphere 2016, 10, 613-622
    • (2016) Cryosphere , vol.10 , pp. 613-622
    • Bogren, W.S.1    Burkhart, J.F.2    Kylling, A.3
  • 151
    • 33646781308 scopus 로고    scopus 로고
    • Calibration of dual-beam spectroradiometric data
    • Anderson, K.; Milton, E.J.; Rollin, E.M. Calibration of dual-beam spectroradiometric data. Int. J. Remote Sens. 2006, 27, 975-986
    • (2006) Int. J. Remote Sens , vol.27 , pp. 975-986
    • Anderson, K.1    Milton, E.J.2    Rollin, E.M.3
  • 152
    • 0032732676 scopus 로고    scopus 로고
    • The use of the empirical line method to calibrate remotely sensed data to reflectance
    • Smith, G.M.; Milton, E.J. The use of the empirical line method to calibrate remotely sensed data to reflectance. Int. J. Remote Sens. 1999, 20, 2653-2662
    • (1999) Int. J. Remote Sens , vol.20 , pp. 2653-2662
    • Smith, G.M.1    Milton, E.J.2
  • 153
    • 85027937388 scopus 로고    scopus 로고
    • A Simplified Empirical Line Method of Radiometric Calibration for Small Unmanned Aircraft Systems-Based Remote Sensing
    • Wang, C.; Myint, S.W. A Simplified Empirical Line Method of Radiometric Calibration for Small Unmanned Aircraft Systems-Based Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2015, 8, 1876-1885
    • (2015) IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens , vol.8 , pp. 1876-1885
    • Wang, C.1    Myint, S.W.2
  • 154
    • 85016257803 scopus 로고    scopus 로고
    • Species classification using Unmanned Aerial Vehicle (UAV)-acquired high spatial resolution imagery in a heterogeneous grassland
    • Lu, B.; He, Y. Species classification using Unmanned Aerial Vehicle (UAV)-acquired high spatial resolution imagery in a heterogeneous grassland. ISPRS J. Photogramm. Remote Sens. 2017, 128, 73-85
    • (2017) ISPRS J. Photogramm. Remote Sens , vol.128 , pp. 73-85
    • Lu, B.1    He, Y.2
  • 155
    • 84896137428 scopus 로고    scopus 로고
    • Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV
    • Torres-Sánchez, J.; Peña, J.M.; de Castro, A.I.; López-Granados, F. Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV. Comput. Electron. Agric. 2014, 103, 104-113
    • (2014) Comput. Electron. Agric , vol.103 , pp. 104-113
    • Torres-Sánchez, J.1    Peña, J.M.2    de Castro, A.I.3    López-Granados, F.4
  • 157
    • 0035118702 scopus 로고    scopus 로고
    • Deployment and calibration of reference reflectance tarps for use with airborne imaging sensors
    • Moran, M.S.; Ross, B.B.; Clarke, T.R.; Qi, J. Deployment and calibration of reference reflectance tarps for use with airborne imaging sensors. Photogramm. Eng. Remote Sens. 2001, 67, 273-286
    • (2001) Photogramm. Eng. Remote Sens , vol.67 , pp. 273-286
    • Moran, M.S.1    Ross, B.B.2    Clarke, T.R.3    Qi, J.4
  • 158
    • 63849338706 scopus 로고    scopus 로고
    • Performance of Three Reflectance Calibration Methods for Airborne Hyperspectral Spectrometer Data
    • Miura, T.; Huete, A.R. Performance of Three Reflectance Calibration Methods for Airborne Hyperspectral Spectrometer Data. Sensors 2009, 9, 794-813
    • (2009) Sensors , vol.9 , pp. 794-813
    • Miura, T.1    Huete, A.R.2
  • 160
    • 85021060214 scopus 로고    scopus 로고
    • Impact of Atmospheric Inversion Effects on Solar-Induced Chlorophyll Fluorescence: Exploitation of the Apparent Reflectance as a Quality Indicator
    • Sabater, N.; Vicent, J.; Alonso, L.; Cogliati, S.; Verrelst, J.; Moreno, J. Impact of Atmospheric Inversion Effects on Solar-Induced Chlorophyll Fluorescence: Exploitation of the Apparent Reflectance as a Quality Indicator. Remote Sens. 2017, 9, 622
    • (2017) Remote Sens , vol.9 , pp. 622
    • Sabater, N.1    Vicent, J.2    Alonso, L.3    Cogliati, S.4    Verrelst, J.5    Moreno, J.6
  • 161
    • 85048906679 scopus 로고    scopus 로고
    • Influence of the viewing geometry on hyperspectral data retrieved from UAV snapshot cameras
    • Aasen, H. Influence of the viewing geometry on hyperspectral data retrieved from UAV snapshot cameras. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 2016, III-7, 257-261
    • (2016) ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci , vol.3 , Issue.7 , pp. 257-261
    • Aasen, H.1
  • 162
    • 84902205864 scopus 로고    scopus 로고
    • The Metrology of Directional, Spectral Reflectance Factor Measurements Based on Area Format Imaging by UAVs
    • Honkavaara, E.; Markelin, L.; Hakala, T.; Peltoniemi, J.I. The Metrology of Directional, Spectral Reflectance Factor Measurements Based on Area Format Imaging by UAVs. Photogramm. Fernerkund. Geoinf. 2014, 2014, 175-188
    • (2014) Photogramm. Fernerkund. Geoinf , vol.2014 , pp. 175-188
    • Honkavaara, E.1    Markelin, L.2    Hakala, T.3    Peltoniemi, J.I.4
  • 163
    • 85042524085 scopus 로고    scopus 로고
    • Radiometric Correction of Close-Range Spectral Image Blocks Captured Using an Unmanned Aerial Vehicle with a Radiometric Block Adjustment
    • Honkavaara, E.; Khoramshahi, E. Radiometric Correction of Close-Range Spectral Image Blocks Captured Using an Unmanned Aerial Vehicle with a Radiometric Block Adjustment. Remote Sens. 2018, 10, 256
    • (2018) Remote Sens , vol.10 , pp. 256
    • Honkavaara, E.1    Khoramshahi, E.2
  • 166
    • 84890435149 scopus 로고    scopus 로고
    • Correction of Reflectance Anisotropy Effects of Vegetation on Airborne Spectroscopy Data and Derived Products
    • Weyermann, J.; Damm, A.; Kneubuhler, M.; Schaepman, M.E. Correction of Reflectance Anisotropy Effects of Vegetation on Airborne Spectroscopy Data and Derived Products. IEEE Trans. Geosci. Remote Sens. 2014, 52, 616-627
    • (2014) IEEE Trans. Geosci. Remote Sens , vol.52 , pp. 616-627
    • Weyermann, J.1    Damm, A.2    Kneubuhler, M.3    Schaepman, M.E.4
  • 168
    • 0022013286 scopus 로고
    • Simple equation to approximate the bidirectional reflectance from vegetative canopies and bare soil surfaces
    • Walthall, C.L.; Norman, J.M.; Welles, J.M.; Campbell, G.; Blad, B.L. Simple equation to approximate the bidirectional reflectance from vegetative canopies and bare soil surfaces. Appl. Opt. 1985, 24, 383
    • (1985) Appl. Opt , vol.24 , pp. 383
    • Walthall, C.L.1    Norman, J.M.2    Welles, J.M.3    Campbell, G.4    Blad, B.L.5
  • 169
    • 0024471205 scopus 로고
    • A reflectance model for the homogeneous plant canopy and its inversion
    • Nilson, T.; Kuusk, A. A reflectance model for the homogeneous plant canopy and its inversion. Remote Sens. Environ. 1989, 27, 157-167
    • (1989) Remote Sens. Environ , vol.27 , pp. 157-167
    • Nilson, T.1    Kuusk, A.2
  • 170
    • 78049359614 scopus 로고    scopus 로고
    • Comparison of Topographic Correction Methods
    • Richter, R.; Kellenberger, T.; Kaufmann, H. Comparison of Topographic Correction Methods. Remote Sens. 2009, 1, 184-196
    • (2009) Remote Sens , vol.1 , pp. 184-196
    • Richter, R.1    Kellenberger, T.2    Kaufmann, H.3
  • 171
    • 0020372346 scopus 로고
    • On the Slope-Aspect Correction of Multispectral Scanner Data
    • Teillet, P.M.; Guindon, B.; Goodenough, D.G. On the Slope-Aspect Correction of Multispectral Scanner Data. Can. J. Remote Sens. 1982, 8, 84-106
    • (1982) Can. J. Remote Sens , vol.8 , pp. 84-106
    • Teillet, P.M.1    Guindon, B.2    Goodenough, D.G.3
  • 172
    • 0042842309 scopus 로고    scopus 로고
    • Correcting satellite imagery for the variance of reflectance and illumination with topography
    • Shepherd, J.D.; Dymond, J.R. Correcting satellite imagery for the variance of reflectance and illumination with topography. Int. J. Remote Sens. 2003, 24, 3503-3514
    • (2003) Int. J. Remote Sens , vol.24 , pp. 3503-3514
    • Shepherd, J.D.1    Dymond, J.R.2
  • 173
    • 0000303999 scopus 로고
    • The reciprocity principle in lunar photometry
    • Minnaert, M. The reciprocity principle in lunar photometry. Astrophys. J. 1941, 93, 403
    • (1941) Astrophys. J , vol.93 , pp. 403
    • Minnaert, M.1
  • 175
    • 85050455056 scopus 로고    scopus 로고
    • EuroSDR-EUROCOW 2012. Barcelona, Spain, (accessed on 9 July 2018)
    • Schläpfer, D.; Richter, R.; Kellenberger, T. Atmospheric and Topographic Correction of Photogrammetric Airborne Digital Scanner Data (ATCOR-ADS); EuroSDR-EUROCOW 2012. Barcelona, Spain, 2012. Available online: http://www.geo.uzh.ch/microsite/rsl-documents/research/publications/other-sci-communications/ Schlaepfer_eurocow2012_ATCOR-ADS-1512234752/Schlaepfer_eurocow2012_ATCOR-ADS.pdf (accessed on 9 July 2018)
    • (2012) Atmospheric and Topographic Correction of Photogrammetric Airborne Digital Scanner Data (ATCOR-ADS)
  • 176
    • 23944489377 scopus 로고    scopus 로고
    • De-shadowing of satellite/airborne imagery
    • Richter, R.; Müller, A. De-shadowing of satellite/airborne imagery. Int. J. Remote Sens. 2005, 26, 3137-3148
    • (2005) Int. J. Remote Sens , vol.26 , pp. 3137-3148
    • Richter, R.1    Müller, A.2
  • 177
    • 61449249091 scopus 로고    scopus 로고
    • A Radiometric Aerial Triangulation for the Equalization of Digital Aerial Images and Orthoimages
    • Chandelier, L.; Martinoty, G. A Radiometric Aerial Triangulation for the Equalization of Digital Aerial Images and Orthoimages. Photogramm. Eng. Remote Sens. 2009, 75, 193-200
    • (2009) Photogramm. Eng. Remote Sens , vol.75 , pp. 193-200
    • Chandelier, L.1    Martinoty, G.2
  • 178
    • 79959765110 scopus 로고    scopus 로고
    • Empirical Models for Radiometric Calibration of Digital Aerial Frame Mosaics
    • Collings, S.; Caccetta, P.; Campbell, N.; Wu, X. Empirical Models for Radiometric Calibration of Digital Aerial Frame Mosaics. IEEE Trans. Geosci. Remote Sens. 2011, 49, 2573-2588
    • (2011) IEEE Trans. Geosci. Remote Sens , vol.49 , pp. 2573-2588
    • Collings, S.1    Caccetta, P.2    Campbell, N.3    Wu, X.4
  • 179
    • 84987860698 scopus 로고    scopus 로고
    • RADIOMETRIC NORMALIZATION OF LARGE AIRBORNE IMAGE DATA SETS ACQUIRED BY DIFFERENT SENSOR TYPES
    • Gehrke, S.; Beshah, B.T. RADIOMETRIC NORMALIZATION OF LARGE AIRBORNE IMAGE DATA SETS ACQUIRED BY DIFFERENT SENSOR TYPES. ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2016, XLI-B1, 317-326
    • (2016) ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci , vol.XLI-B1 , pp. 317-326
    • Gehrke, S.1    Beshah, B.T.2
  • 181
    • 85050479656 scopus 로고    scopus 로고
    • (accessed on 9 March 2018)
    • ITRES. Imagers | ITRES. Available online: http://www.itres.com/imagers/ (accessed on 9 March 2018)
  • 186
    • 85050497489 scopus 로고    scopus 로고
    • (accessed on 30 January 2018)
    • Specim, Spectral Imaging Ltd. Hyperspectral Imaging System AisaKESTREL. Available online: http: //www.specim.fi/products/aisakestrel-hyperspectral-imaging-system/ (accessed on 30 January 2018)
  • 187
    • 84995370911 scopus 로고    scopus 로고
    • Hyperspectral Reflectance Anisotropy Measurements Using a Pushbroom Spectrometer on an Unmanned Aerial Vehicle-Results for Barley, Winter Wheat, and Potato
    • Roosjen, P.; Suomalainen, J.; Bartholomeus, H.; Clevers, J. Hyperspectral Reflectance Anisotropy Measurements Using a Pushbroom Spectrometer on an Unmanned Aerial Vehicle-Results for Barley, Winter Wheat, and Potato. Remote Sens. 2016, 8, 909
    • (2016) Remote Sens , vol.8 , pp. 909
    • Roosjen, P.1    Suomalainen, J.2    Bartholomeus, H.3    Clevers, J.4
  • 188
    • 84941356382 scopus 로고    scopus 로고
    • Development of a Low-Cost, Lightweight Hyperspectral Imaging System Based on a Polygon Mirror and Compact Spectrometers
    • Uto, K.; Seki, H.; Saito, G.; Kosugi, Y.; Komatsu, T. Development of a Low-Cost, Lightweight Hyperspectral Imaging System Based on a Polygon Mirror and Compact Spectrometers. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2016, 9, 861-875
    • (2016) IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens , vol.9 , pp. 861-875
    • Uto, K.1    Seki, H.2    Saito, G.3    Kosugi, Y.4    Komatsu, T.5
  • 190
    • 44649115314 scopus 로고    scopus 로고
    • Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots
    • Lelong, C.C.D.; Burger, P.; Jubelin, G.; Roux, B.; Labbé, S.; Baret, F. Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots. Sensors 2008, 8, 3557-3585
    • (2008) Sensors , vol.8 , pp. 3557-3585
    • Lelong, C.C.D.1    Burger, P.2    Jubelin, G.3    Roux, B.4    Labbé, S.5    Baret, F.6
  • 191
    • 84865008271 scopus 로고    scopus 로고
    • Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery
    • Harwin, S.; Lucieer, A. Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery. Remote Sens. 2012, 4, 1573-1599
    • (2012) Remote Sens , vol.4 , pp. 1573-1599
    • Harwin, S.1    Lucieer, A.2
  • 193
    • 84941554085 scopus 로고    scopus 로고
    • Analysis of Different Methods for 3D Reconstruction of Natural Surfaces from Parallel-Axes UAV Images
    • Eltner, A.; Schneider, D. Analysis of Different Methods for 3D Reconstruction of Natural Surfaces from Parallel-Axes UAV Images. Photogramm. Rec. 2015, 30, 279-299
    • (2015) Photogramm. Rec , vol.30 , pp. 279-299
    • Eltner, A.1    Schneider, D.2
  • 194
    • 84925841323 scopus 로고    scopus 로고
    • Comparing Two Photo-Reconstruction Methods to Produce High Density Point Clouds and DEMs in the Corral del Veleta Rock Glacier (Sierra Nevada, Spain)
    • Gómez-Gutiérrez, á.; de Sanjosé-Blasco, J.; de Matías-Bejarano, J.; Berenguer-Sempere, F. Comparing Two Photo-Reconstruction Methods to Produce High Density Point Clouds and DEMs in the Corral del Veleta Rock Glacier (Sierra Nevada, Spain). Remote Sens. 2014, 6, 5407-5427
    • (2014) Remote Sens , vol.6 , pp. 5407-5427
    • Gómez-Gutiérrez, Á.1    de Sanjosé-Blasco, J.2    de Matías-Bejarano, J.3    Berenguer-Sempere, F.4
  • 196
    • 84939439873 scopus 로고    scopus 로고
    • Inventory of Small Forest Areas Using an Unmanned Aerial System
    • Puliti, S.; Olerka, H.; Gobakken, T.; Næsset, E. Inventory of Small Forest Areas Using an Unmanned Aerial System. Remote Sens. 2015, 7, 9632-9654
    • (2015) Remote Sens , vol.7 , pp. 9632-9654
    • Puliti, S.1    Olerka, H.2    Gobakken, T.3    Næsset, E.4
  • 198
    • 80051719645 scopus 로고    scopus 로고
    • Acquisition of Bidirectional Reflectance Factor Dataset Using a Micro Unmanned Aerial Vehicle and a Consumer Camera
    • Hakala, T.; Suomalainen, J.; Peltoniemi, J.I. Acquisition of Bidirectional Reflectance Factor Dataset Using a Micro Unmanned Aerial Vehicle and a Consumer Camera. Remote Sens. 2010, 2, 819-832
    • (2010) Remote Sens , vol.2 , pp. 819-832
    • Hakala, T.1    Suomalainen, J.2    Peltoniemi, J.I.3
  • 199
    • 79957594611 scopus 로고    scopus 로고
    • On the reproducibility of field-measured reflectance factors in the context of vegetation studies
    • Anderson, K.; Dungan, J.L.; MacArthur, A. On the reproducibility of field-measured reflectance factors in the context of vegetation studies. Remote Sens. Environ. 2011, 115, 1893-1905
    • (2011) Remote Sens. Environ , vol.115 , pp. 1893-1905
    • Anderson, K.1    Dungan, J.L.2    MacArthur, A.3
  • 200
    • 33747012308 scopus 로고    scopus 로고
    • On the temporal stability of ground calibration targets: Implications for the reproducibility of remote sensing methodologies
    • Anderson, K.; Milton, E.J. On the temporal stability of ground calibration targets: Implications for the reproducibility of remote sensing methodologies. Int. J. Remote Sens. 2006, 27, 3365-3374
    • (2006) Int. J. Remote Sens , vol.27 , pp. 3365-3374
    • Anderson, K.1    Milton, E.J.2
  • 203
    • 85020716993 scopus 로고    scopus 로고
    • Opinion: Smart farming is key to developing sustainable agriculture
    • Walter, A.; Finger, R.; Huber, R.; Buchmann, N. Opinion: Smart farming is key to developing sustainable agriculture. Proc. Natl. Acad. Sci. USA 2017, 114, 6148-6150
    • (2017) Proc. Natl. Acad. Sci. USA , vol.114 , pp. 6148-6150
    • Walter, A.1    Finger, R.2    Huber, R.3    Buchmann, N.4
  • 204
    • 85051995585 scopus 로고    scopus 로고
    • What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?
    • Hunt, E.R.; Daughtry, C.S.T. What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture? Int. J. Remote Sens. 2017, 1-32
    • (2017) Int. J. Remote Sens , pp. 1-32
    • Hunt, E.R.1    Daughtry, C.S.T.2
  • 205
    • 84891372768 scopus 로고    scopus 로고
    • Field high-throughput phenotyping: The new crop breeding frontier
    • Araus, J.L.; Cairns, J.E. Field high-throughput phenotyping: The new crop breeding frontier. Trends Plant Sci. 2014, 19, 52-61
    • (2014) Trends Plant Sci , vol.19 , pp. 52-61
    • Araus, J.L.1    Cairns, J.E.2
  • 206
    • 84877682482 scopus 로고    scopus 로고
    • Future Scenarios for Plant Phenotyping
    • Fiorani, F.; Schurr, U. Future Scenarios for Plant Phenotyping. Annu. Rev. Plant Biol. 2013, 64, 267-291
    • (2013) Annu. Rev. Plant Biol , vol.64 , pp. 267-291
    • Fiorani, F.1    Schurr, U.2
  • 207
    • 85026443520 scopus 로고    scopus 로고
    • Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
    • Yang, G.; Liu, J.; Zhao, C.; Li, Z.; Huang, Y.; Yu, H.; Xu, B.; Yang, X.; Zhu, D.; Zhang, X.; et al. Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives. Front. Plant Sci. 2017, 8
    • (2017) Front. Plant Sci , pp. 8
    • Yang, G.1    Liu, J.2    Zhao, C.3    Li, Z.4    Huang, Y.5    Yu, H.6    Xu, B.7    Yang, X.8    Zhu, D.9    Zhang, X.10
  • 208
    • 73249139477 scopus 로고    scopus 로고
    • Object based image analysis for remote sensing
    • Blaschke, T. Object based image analysis for remote sensing. ISPRS J. Photogramm. Remote Sens. 2010, 65, 2-16
    • (2010) ISPRS J. Photogramm. Remote Sens , vol.65 , pp. 2-16
    • Blaschke, T.1
  • 211
    • 84939454114 scopus 로고    scopus 로고
    • Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley
    • Bendig, J.; Yu, K.; Aasen, H.; Bolten, A.; Bennertz, S.; Broscheit, J.; Gnyp, M.L.; Bareth, G. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley. Int. J. Appl. Earth Obs. Geoinf. 2015, 39, 79-87
    • (2015) Int. J. Appl. Earth Obs. Geoinf , vol.39 , pp. 79-87
    • Bendig, J.1    Yu, K.2    Aasen, H.3    Bolten, A.4    Bennertz, S.5    Broscheit, J.6    Gnyp, M.L.7    Bareth, G.8
  • 212
    • 84942540720 scopus 로고    scopus 로고
    • Fusion of Plant Height and Vegetation Indices for the Estimation of Barley Biomass
    • Tilly, N.; Aasen, H.; Bareth, G. Fusion of Plant Height and Vegetation Indices for the Estimation of Barley Biomass. Remote Sens. 2015, 7, 11449-11480
    • (2015) Remote Sens , vol.7 , pp. 11449-11480
    • Tilly, N.1    Aasen, H.2    Bareth, G.3
  • 213
    • 60249089956 scopus 로고    scopus 로고
    • The spectral database SPECCHIO for improved long-term usability and data sharing
    • Hueni, A.; Nieke, J.; Schopfer, J.; Kneubühler, M.; Itten, K.I. The spectral database SPECCHIO for improved long-term usability and data sharing. Comput. Geosci. 2009, 35, 557-565
    • (2009) Comput. Geosci , vol.35 , pp. 557-565
    • Hueni, A.1    Nieke, J.2    Schopfer, J.3    Kneubühler, M.4    Itten, K.I.5
  • 214
  • 217
    • 84923268614 scopus 로고    scopus 로고
    • Low-weight and UAV-based Hyperspectral Full-frame Cameras for Monitoring Crops: Spectral Comparison with Portable Spectroradiometer Measurements
    • Bareth, G.; Aasen, H.; Bendig, J.; Gnyp, M.L.; Bolten, A.; Jung, A.; Michels, R.; Soukkamäki, J. Low-weight and UAV-based Hyperspectral Full-frame Cameras for Monitoring Crops: Spectral Comparison with Portable Spectroradiometer Measurements. Photogramm. Fernerkund. Geoinf. 2015, 2015, 69-79
    • (2015) Photogramm. Fernerkund. Geoinf , vol.2015 , pp. 69-79
    • Bareth, G.1    Aasen, H.2    Bendig, J.3    Gnyp, M.L.4    Bolten, A.5    Jung, A.6    Michels, R.7    Soukkamäki, J.8
  • 218
    • 85047313231 scopus 로고    scopus 로고
    • Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production
    • Domingues Franceschini, M.; Bartholomeus, H.; van Apeldoorn, D.; Suomalainen, J.; Kooistra, L. Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production. Sensors 2017, 17, 1428
    • (2017) Sensors , vol.17 , pp. 1428
    • Domingues Franceschini, M.1    Bartholomeus, H.2    van Apeldoorn, D.3    Suomalainen, J.4    Kooistra, L.5
  • 219
    • 84920749069 scopus 로고    scopus 로고
    • Deploying four optical UAV-based sensors over grassland: Challenges and limitations
    • Von Bueren, S.K.; Burkart, A.; Hueni, A.; Rascher, U.; Tuohy, M.P.; Yule, I.J. Deploying four optical UAV-based sensors over grassland: Challenges and limitations. Biogeosciences 2015, 12, 163-175
    • (2015) Biogeosciences , vol.12 , pp. 163-175
    • Von Bueren, S.K.1    Burkart, A.2    Hueni, A.3    Rascher, U.4    Tuohy, M.P.5    Yule, I.J.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.