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Volumn 9, Issue 7, 2017, Pages

The DOM generation and precise radiometric calibration of a UAV-mounted miniature snapshot hyperspectral imager

Author keywords

Hyperspectral DOM; POS interpolation; Radiometric calibration; Radiometric response variation; Snapshot hyperspectral imaging; UAV

Indexed keywords

AGRICULTURE; CROPS; GEOMETRY; HYPERSPECTRAL IMAGING; IMAGE ACQUISITION; IMAGE RESOLUTION; RADIOMETRY; REMOTE SENSING; SPECTROSCOPY; SURVEYING; UNMANNED AERIAL VEHICLES (UAV);

EID: 85022326693     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs9070642     Document Type: Article
Times cited : (85)

References (55)
  • 1
    • 84887105216 scopus 로고    scopus 로고
    • Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
    • Mulla, D.J. Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps. Biosyst. Eng. 2013, 114, 358-371
    • (2013) Biosyst. Eng , vol.114 , pp. 358-371
    • Mulla, D.J.1
  • 3
    • 84987958845 scopus 로고    scopus 로고
    • Remote detection of canopy leaf nitrogen concentration in winter wheat by using water resistance vegetation indices from in-situ hyperspectral data
    • Feng, W.; Zhang, H.-Y.; Zhang, Y.-S.; Qi, S.-L.; Heng, Y.-R.; Guo, B.-B.; Ma, D.-Y.; Guo, T.-C. Remote detection of canopy leaf nitrogen concentration in winter wheat by using water resistance vegetation indices from in-situ hyperspectral data. Field Crop. Res. 2016, 198, 238-246
    • (2016) Field Crop. Res , vol.198 , pp. 238-246
    • Feng, W.1    Zhang, H.-Y.2    Zhang, Y.-S.3    Qi, S.-L.4    Heng, Y.-R.5    Guo, B.-B.6    Ma, D.-Y.7    Guo, T.-C.8
  • 4
    • 84980322412 scopus 로고    scopus 로고
    • Improving remote sensing crop classification by argumentation-based conflict resolution in ensemble learning
    • Conţiu, Ş.; Groza, A. Improving remote sensing crop classification by argumentation-based conflict resolution in ensemble learning. Expert Syst. Appl. 2016, 64, 269-286
    • (2016) Expert Syst. Appl , vol.64 , pp. 269-286
    • Conţiu, Ş.1    Groza, A.2
  • 7
    • 34147220903 scopus 로고    scopus 로고
    • Mapping an invasive plant, Phragmites australis, in coastal wetlands using the EO-1 Hyperion hyperspectral sensor
    • Pengra, B.; Johnston, C.; Loveland, T. Mapping an invasive plant, Phragmites australis, in coastal wetlands using the EO-1 Hyperion hyperspectral sensor. Remote Sens. Environ. 2007, 108, 74-81
    • (2007) Remote Sens. Environ , vol.108 , pp. 74-81
    • Pengra, B.1    Johnston, C.2    Loveland, T.3
  • 9
    • 84889854588 scopus 로고    scopus 로고
    • UAV for 3D mapping applications: A review
    • Nex, F.; Remondino, F. UAV for 3D mapping applications: A review. Appl. Geomat. 2014, 6, 1-15
    • (2014) Appl. Geomat , vol.6 , pp. 1-15
    • Nex, F.1    Remondino, F.2
  • 10
    • 84937860942 scopus 로고    scopus 로고
    • Evaluating multispectral images and vegetation indices for precision farming applications from UAV images
    • Candiago, S.; Remondino, F.; De Giglio, M.; Dubbini, M.; Gattelli, M. Evaluating multispectral images and vegetation indices for precision farming applications from UAV images. Remote Sens. 2015, 7, 4026-4047
    • (2015) Remote Sens , vol.7 , pp. 4026-4047
    • Candiago, S.1    Remondino, F.2    De Giglio, M.3    Dubbini, M.4    Gattelli, M.5
  • 11
    • 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, 281-329
    • (2015) Photogramm. Eng. Remote Sens , vol.81 , pp. 281-329
    • Pajares, G.1
  • 12
    • 84934783341 scopus 로고    scopus 로고
    • UAV-based photogrammetry and integrated technologies for architectural applications-Methodological strategies for the after-quake survey of vertical structures in mantua (Italy)
    • Achille, C.; Adami, A.; Chiarini, S.; Cremonesi, S.; Fassi, F.; Fregonese, L.; Taffurelli, L. UAV-based photogrammetry and integrated technologies for architectural applications-Methodological strategies for the after-quake survey of vertical structures in mantua (Italy). Sensors 2015, 15, 15520-15539
    • (2015) Sensors , vol.15 , pp. 15520-15539
    • Achille, C.1    Adami, A.2    Chiarini, S.3    Cremonesi, S.4    Fassi, F.5    Fregonese, L.6    Taffurelli, L.7
  • 13
    • 84966668584 scopus 로고    scopus 로고
    • UAV-assisted disaster management: Applications and open issues
    • Networking and Communications (ICNC), Kauai, HI, USA, 15-18 February
    • Erdelj, M.; Natalizio, E. UAV-assisted disaster management: Applications and open issues. In Proceedings of the 2016 International Conference on Computing, Networking and Communications (ICNC), Kauai, HI, USA, 15-18 February 2016; pp. 1-5
    • (2016) Proceedings of the 2016 International Conference on Computing , pp. 1-5
    • Erdelj, M.1    Natalizio, E.2
  • 14
    • 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
  • 15
    • 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
  • 16
    • 84874788283 scopus 로고    scopus 로고
    • Advances in remote sensing of agriculture: Context description, existing operational monitoring systems and major information needs
    • Atzberger, C. Advances in remote sensing of agriculture: Context description, existing operational monitoring systems and major information needs. Remote Sens. 2013, 5, 949-981
    • (2013) Remote Sens , vol.5 , pp. 949-981
    • Atzberger, C.1
  • 17
    • 84973171198 scopus 로고    scopus 로고
    • Evaluating chlorophyll density in winter oilseed rape (Brassica napus L.) using canopy hyperspectral red-edge parameters
    • Li, L.; Ren, T.; Ma, Y.; Wei, Q.; Wang, S.; Li, X.; Cong, R.; Liu, S.; Lu, J. Evaluating chlorophyll density in winter oilseed rape (Brassica napus L.) using canopy hyperspectral red-edge parameters. Comput. Electron. Agric. 2016, 126, 21-31
    • (2016) Comput. Electron. Agric , vol.126 , pp. 21-31
    • Li, L.1    Ren, T.2    Ma, Y.3    Wei, Q.4    Wang, S.5    Li, X.6    Cong, R.7    Liu, S.8    Lu, J.9
  • 18
    • 84964510073 scopus 로고    scopus 로고
    • Early assessment of the yield loss in rice due to the brown planthopper using a hyperspectral remote sensing method
    • Liu, X.-D.; Sun, Q.-H. Early assessment of the yield loss in rice due to the brown planthopper using a hyperspectral remote sensing method. Int. J. Pest Manag. 2016, 62, 205-213
    • (2016) Int. J. Pest Manag , vol.62 , pp. 205-213
    • Liu, X.-D.1    Sun, Q.-H.2
  • 19
    • 84979017349 scopus 로고    scopus 로고
    • Detecting ozone effects in four wheat cultivars using hyperspectral measurements under fully open-air field conditions
    • Chi, G.; Huang, B.; Shi, Y.; Chen, X.; Li, Q.; Zhu, J. Detecting ozone effects in four wheat cultivars using hyperspectral measurements under fully open-air field conditions. Remote Sens. Environ. 2016, 184, 329-336
    • (2016) Remote Sens. Environ , vol.184 , pp. 329-336
    • Chi, G.1    Huang, B.2    Shi, Y.3    Chen, X.4    Li, Q.5    Zhu, J.6
  • 20
    • 84989284347 scopus 로고    scopus 로고
    • A novel method for detection of pieris rapae larvae on cabbage leaves using NIR hyperspectral imaging
    • Wu, X.; Zhang, W.; Qiu, Z.; Cen, H.; He, Y. A novel method for detection of pieris rapae larvae on cabbage leaves using NIR hyperspectral imaging. Appl. Eng. Agric. 2016, 32, 311-316
    • (2016) Appl. Eng. Agric , vol.32 , pp. 311-316
    • Wu, X.1    Zhang, W.2    Qiu, Z.3    Cen, H.4    He, Y.5
  • 21
    • 84979620544 scopus 로고    scopus 로고
    • Fast detection and visualization of early decay in citrus using Vis-NIR hyperspectral imaging
    • Li, J.; Huang, W.; Tian, X.; Wang, C.; Fan, S.; Zhao, C. Fast detection and visualization of early decay in citrus using Vis-NIR hyperspectral imaging. Comput. Electron. Agric. 2016, 127, 582-592
    • (2016) Comput. Electron. Agric , vol.127 , pp. 582-592
    • Li, J.1    Huang, W.2    Tian, X.3    Wang, C.4    Fan, S.5    Zhao, C.6
  • 22
    • 84964993875 scopus 로고    scopus 로고
    • Detection of fungal infection and Ochratoxin A contamination in stored barley using near-infrared hyperspectral imaging
    • Senthilkumar, T.; Jayas, D.S.; White, N.D.G.; Fields, P.G.; Gräfenhan, T. Detection of fungal infection and Ochratoxin A contamination in stored barley using near-infrared hyperspectral imaging. Biosyst. Eng. 2016, 147, 162-173
    • (2016) Biosyst. Eng , vol.147 , pp. 162-173
    • Senthilkumar, T.1    Jayas, D.S.2    White, N.D.G.3    Fields, P.G.4    Gräfenhan, T.5
  • 23
    • 85022336485 scopus 로고    scopus 로고
    • Estimating moisture content of cucumber seedling using hyperspectral imagery
    • Kang, J.; Ryu, C.; Kim, S.; Kang, Y.; Sarkar, T.K. Estimating moisture content of cucumber seedling using hyperspectral imagery. J. Biosyst. Eng. 2016, 41, 273-280
    • (2016) J. Biosyst. Eng , vol.41 , pp. 273-280
    • Kang, J.1    Ryu, C.2    Kim, S.3    Kang, Y.4    Sarkar, T.K.5
  • 24
    • 84996561880 scopus 로고    scopus 로고
    • Field monitoring of wheat seedling stage with hyperspectral imaging
    • Qiong, W.; Cheng, W.; Jingjing, F.; Jianwei, J. Field monitoring of wheat seedling stage with hyperspectral imaging. Int. J. Agric. Biol. Eng. 2016, 9, 143-148
    • (2016) Int. J. Agric. Biol. Eng , vol.9 , pp. 143-148
    • Qiong, W.1    Cheng, W.2    Jingjing, F.3    Jianwei, J.4
  • 25
    • 84941934685 scopus 로고    scopus 로고
    • From experimental plots to experimental landscapes: Topography, erosion and deposition in sub-humid badlands from Structure-from-Motion photogrammetry
    • Smith, M.W.; Vericat, D. From experimental plots to experimental landscapes: Topography, erosion and deposition in sub-humid badlands from Structure-from-Motion photogrammetry. Earth Surf. Process. Landf. 2015, 40, 1656-1671
    • (2015) Earth Surf. Process. Landf , vol.40 , pp. 1656-1671
    • Smith, M.W.1    Vericat, D.2
  • 26
    • 84920599381 scopus 로고    scopus 로고
    • Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry
    • Woodget, A.S.; Carbonneau, P.E.; Visser, F.; Maddock, I.P. Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry. Earth Surf. Process. Landf. 2015, 40, 47-64
    • (2015) Earth Surf. Process. Landf , vol.40 , pp. 47-64
    • Woodget, A.S.1    Carbonneau, P.E.2    Visser, F.3    Maddock, I.P.4
  • 27
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • Kerkyra, Greece, 20-27 September
    • Lowe, D.G. Object recognition from local scale-invariant features. In Proceedings of the International Conference on Computer Vision, Kerkyra, Greece, 20-27 September 1999; pp. 1150-1157
    • (1999) Proceedings of the International Conference on Computer Vision , pp. 1150-1157
    • Lowe, D.G.1
  • 28
    • 84973517455 scopus 로고    scopus 로고
    • Building change detection with RGB-D map generated from UAV images
    • Chen, B.; Chen, Z.; Deng, L.; Duan, Y.; Zhou, J. Building change detection with RGB-D map generated from UAV images. Neurocomputing 2016, 208, 305-364
    • (2016) Neurocomputing , vol.208 , pp. 305-364
    • Chen, B.1    Chen, Z.2    Deng, L.3    Duan, Y.4    Zhou, J.5
  • 31
    • 84973327603 scopus 로고    scopus 로고
    • Evaluation of DSMs generated from multi-temporal aerial photographs using emerging structure from motion-multi-view stereo technology
    • Ishiguro, S.; Yamano, H.; Oguma, H. Evaluation of DSMs generated from multi-temporal aerial photographs using emerging structure from motion-multi-view stereo technology. Geomorphology 2016, 268, 64-71
    • (2016) Geomorphology , vol.268 , pp. 64-71
    • Ishiguro, S.1    Yamano, H.2    Oguma, H.3
  • 32
    • 85022337804 scopus 로고    scopus 로고
    • (accessed on 19 June 2017)
    • Dikovski, B.; Lameski, P.; Zdravevski, E.; Kulakov, A. Structure from Motion Obtained from Low Quality Images in Indoor Environment. Available online: http://s3.amazonaws.com/academia.edu.documents/39380974/Structure_from_motion_obtained_from_low_20151023-8465-1tcc1i9.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1497839798&Signature=AAENrosObAzpDoNcVUebsdTEKzE%3D&response-content-disposition=inline%3B%20filename%3DStructure_from_motion_obtained_from_low.pdf (accessed on 19 June 2017)
    • Structure from Motion Obtained from Low Quality Images in Indoor Environment
    • Dikovski, B.1    Lameski, P.2    Zdravevski, E.3    Kulakov, A.4
  • 33
    • 84894234211 scopus 로고    scopus 로고
    • Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography
    • Lucieer, A.; de Jong, S.M.; Turner, D. Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography. Prog. Phys. Geogr. 2014, 38, 97-116
    • (2014) Prog. Phys. Geogr , vol.38 , pp. 97-116
    • Lucieer, A.1    de Jong, S.M.2    Turner, D.3
  • 34
    • 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
  • 35
    • 84971645573 scopus 로고    scopus 로고
    • Ultra-fine grain landscape-scale quantification of dryland vegetation structure with drone-acquired structure-from-motion photogrammetry
    • Cunliffe, A.M.; Brazier, R.E.; Anderson, K. Ultra-fine grain landscape-scale quantification of dryland vegetation structure with drone-acquired structure-from-motion photogrammetry. Remote Sens. Environ. 2016, 183, 129-143
    • (2016) Remote Sens. Environ , vol.183 , pp. 129-143
    • Cunliffe, A.M.1    Brazier, R.E.2    Anderson, K.3
  • 36
    • 84912137635 scopus 로고    scopus 로고
    • Combined spectral and spatial modeling of corn yield based on aerial images and crop surface models acquired with an unmanned aircraft system
    • Geipel, J.; Link, J.; Claupein, W. Combined spectral and spatial modeling of corn yield based on aerial images and crop surface models acquired with an unmanned aircraft system. Remote Sens. 2014, 6, 10335-10355
    • (2014) Remote Sens , vol.6 , pp. 10335-10355
    • Geipel, J.1    Link, J.2    Claupein, W.3
  • 37
    • 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
  • 38
    • 33947707210 scopus 로고    scopus 로고
    • A comparison of four common atmospheric correction methods
    • Mahiny, A.S.; Turner, B.J. A comparison of four common atmospheric correction methods. Photogramm. Eng. Remote Sens. 2007, 73, 361-368
    • (2007) Photogramm. Eng. Remote Sens , vol.73 , pp. 361-368
    • Mahiny, A.S.1    Turner, B.J.2
  • 39
    • 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
  • 40
    • 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
  • 42
    • 84902287000 scopus 로고    scopus 로고
    • HyperUAS-imaging spectroscopy from a multirotor unmanned aircraft system
    • Lucieer, A.; Malenovskỳ, Z.; Veness, T.; Wallace, L. HyperUAS-imaging spectroscopy from a multirotor unmanned aircraft system. J. Field Robot. 2014, 31, 571-590
    • (2014) J. Field Robot , vol.31 , pp. 571-590
    • Lucieer, A.1    Malenovskỳ, Z.2    Veness, T.3    Wallace, L.4
  • 43
    • 5044234513 scopus 로고    scopus 로고
    • Portable polarimetric underwater imaging system with a linear response
    • Karpel, N.; Schechner, Y.Y. Portable polarimetric underwater imaging system with a linear response. SPIE Def. Secur. 2004, 5432, 106-115
    • (2004) SPIE Def. Secur , vol.5432 , pp. 106-115
    • Karpel, N.1    Schechner, Y.Y.2
  • 50
    • 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
  • 51
    • 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, 63-67
    • (2014) IEEE Sens. J , vol.14 , pp. 63-67
    • Burkart, A.1    Cogliati, S.2    Schickling, A.3    Rascher, U.4
  • 52
    • 84992513272 scopus 로고    scopus 로고
    • Invasive shrub mapping in an urban environment from hyperspectral and LiDAR-derived attributes
    • Chance, C.M.; Coops, N.C.; Plowright, A.A.; Tooke, T.R.; Christen, A.; Aven, N. Invasive shrub mapping in an urban environment from hyperspectral and LiDAR-derived attributes. Front. Plant Sci. 2016, 7, 1258
    • (2016) Front. Plant Sci , vol.7 , pp. 1258
    • Chance, C.M.1    Coops, N.C.2    Plowright, A.A.3    Tooke, T.R.4    Christen, A.5    Aven, N.6
  • 53
    • 84966339697 scopus 로고    scopus 로고
    • Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley
    • Rischbeck, P.; Elsayed, S.; Mistele, B.; Barmeier, G.; Heil, K.; Schmidhalter, U. Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley. Eur. J. Agron. 2016, 78, 44-59
    • (2016) Eur. J. Agron , vol.78 , pp. 44-59
    • Rischbeck, P.1    Elsayed, S.2    Mistele, B.3    Barmeier, G.4    Heil, K.5    Schmidhalter, U.6
  • 54
    • 67649996110 scopus 로고    scopus 로고
    • Multisensor joint fusion and detection of mines using SAR and Hyperspectral
    • Lecce, Italy, 26-29 October
    • Nasrabadi, N.M. Multisensor joint fusion and detection of mines using SAR and Hyperspectral. In Proceedings of the IEEE Sensors, Lecce, Italy, 26-29 October 2008; pp. 1056-1059
    • (2008) Proceedings of the IEEE Sensors , pp. 1056-1059
    • Nasrabadi, N.M.1
  • 55
    • 84912124929 scopus 로고    scopus 로고
    • Estimating biomass of barley using Crop Surface Models (CSMs) derived from UAV-based RGB imaging
    • Bendig, J.; Bolten, A.; Bennertz, S.; Broscheit, J.; Eichfuss, S.; Bareth, G. Estimating biomass of barley using Crop Surface Models (CSMs) derived from UAV-based RGB imaging. Remote Sens. 2014, 6, 10395-10412
    • (2014) Remote Sens , vol.6 , pp. 10395-10412
    • Bendig, J.1    Bolten, A.2    Bennertz, S.3    Broscheit, J.4    Eichfuss, S.5    Bareth, G.6


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