메뉴 건너뛰기




Volumn 10, Issue 11, 2018, Pages

Radiometric correction of Landsat-8 and Sentinel-2A scenes using drone imagery in synergy with field spectroradiometry

Author keywords

Field spectroradiometry; Landsat 8; MicaSense RedEdge; MSI; OLI; Radiometric correction; Sentinel 2; UAS; Upscaling

Indexed keywords

ANTENNAS; CONSERVATION; DRONES; INFRARED DEVICES; MEAN SQUARE ERROR; PIXELS; RADIOMETERS; RADIOMETRY; REFLECTION;

EID: 85057122793     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10111687     Document Type: Article
Times cited : (54)

References (68)
  • 2
    • 85057922147 scopus 로고    scopus 로고
    • 1st ed, Emery, W., Camps, A., Eds.; Elsevier: Amsterdam, The Netherlands
    • Emery, W.J.; Camps, A. Introduction to Satellite Remote Sensing, 1st ed.; Emery, W., Camps, A., Eds.; Elsevier: Amsterdam, The Netherlands, 2017; p. 860
    • (2017) Introduction to Satellite Remote Sensing , pp. 860
    • Emery, W.J.1    Camps, A.2
  • 4
    • 85057070133 scopus 로고    scopus 로고
    • Earth Observations in support of the 2030 Agenda for Sustainable development
    • Group on Earth Observation (GEO). Earth Observations in support of the 2030 Agenda for Sustainable development. Japan Aerospace Exploration Agency (JAXA) and GEO (EO4SDG Initiative). 2017; p. 19. Available online: https://www.earthobservations.org/documents/publications/201703_geo_eo_for_2030_ agenda.pdf (accessed on 7 August 2018)
    • (2017) Japan Aerospace Exploration Agency (JAXA) and GEO (EO4SDG Initiative) , pp. 19
  • 5
    • 85038215512 scopus 로고    scopus 로고
    • (accessed on 7 August 2018)
    • GEOSS. GEOSS Evolution. Available online: http://www.earthobservations.org/geoss.php (accessed on 7 August 2018)
    • GEOSS Evolution
  • 6
    • 84872005155 scopus 로고    scopus 로고
    • (accessed on 7 August 2018)
    • National Aeronautics and Space Administration (NASA). Landsat Data Continuity Mission (LDCM). Available online: https://www.nasa.gov/mission_pages/landsat/main/index.html (accessed on 7 August 2018)
    • Landsat Data Continuity Mission (LDCM)
  • 7
    • 85014126188 scopus 로고    scopus 로고
    • (accessed on 7 August 2018)
    • European Space Agency (ESAa). ESA Sentinel Online. Sentinel-2 Mission. Available online: http://www. esa.int/Our_Activities/Observing_the_Earth/Copernicus/Sentinel-2 (accessed on 7 August 2018)
    • ESA Sentinel Online. Sentinel-2 Mission
  • 8
    • 85014126188 scopus 로고    scopus 로고
    • (accessed on 7 August 2018)
    • European Space Agency (ESAb). ESA Sentinel Online. Sentinel-2 Mission Objectives. Available online: https://sentinel.esa.int/web/sentinel/missions/sentinel-2/mission-objectives (accessed on 7 August 2018)
    • ESA Sentinel Online. Sentinel-2 Mission Objectives
  • 9
    • 85029388912 scopus 로고    scopus 로고
    • A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring
    • Li, J.; Roy, D.P. A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring. Remote Sens. 2017, 9, 902
    • (2017) Remote Sens , vol.9 , pp. 902
    • Li, J.1    Roy, D.P.2
  • 10
    • 27844535371 scopus 로고    scopus 로고
    • 2nd ed, Liou, K.N., Ed.; Academic Press: San Diego, CA, USA
    • Liou, K.N. An Introduction to Atmospheric Radiation, 2nd ed.; Liou, K.N., Ed.; Academic Press: San Diego, CA, USA, 2002; p. 583
    • (2002) An Introduction to Atmospheric Radiation , pp. 583
    • Liou, K.N.1
  • 11
    • 0004207207 scopus 로고
    • National Bureau of Standards, US Department of Commerce: Washington, DC, USA (accessed on 7 August 2018)
    • Nicodemus, F.E.; Richmond, J.C.; Hsia, J.J. Geometrical Considerations and Nomenclature for Reflectance; National Bureau of Standards, US Department of Commerce: Washington, DC, USA, 1977. Available online: http://physics.nist.gov/Divisions/Div844/facilities/specphoto/pdf/geoConsid.pdf (accessed on 7 August 2018)
    • (1977) Geometrical Considerations and Nomenclature for Reflectance
    • Nicodemus, F.E.1    Richmond, J.C.2    Hsia, J.J.3
  • 12
    • 18844461789 scopus 로고    scopus 로고
    • Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types
    • Riano, D.; Chuvieco, E.; Salas, J.; Aguado, I. Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types. IEEE Trans. Geosci. Remote Sens. 2003, 41, 1056-1061
    • (2003) IEEE Trans. Geosci. Remote Sens , vol.41 , pp. 1056-1061
    • Riano, D.1    Chuvieco, E.2    Salas, J.3    Aguado, I.4
  • 14
    • 84964645155 scopus 로고    scopus 로고
    • Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product
    • Vermote, E.; Justice, C.; Claverie, M.; Franch, B. Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product. Remote Sens. Environ. 2016, 185, 46-56
    • (2016) Remote Sens. Environ , vol.185 , pp. 46-56
    • Vermote, E.1    Justice, C.2    Claverie, M.3    Franch, B.4
  • 17
    • 85045013249 scopus 로고    scopus 로고
    • European Space Agency (accessed on 7 August 2018)
    • Mueller-Wilm, U. Sen2Cor Configuration and User Manual V2.4; European Space Agency, 2017; pp. 1-53. Available online: http://step.esa.int/thirdparties/sen2cor/2.4.0/Sen2Cor_240_Documenation_PDF/S2-PDGS-MPC-L2A-SUM-V2.4.0.pdf (accessed on 7 August 2018)
    • (2017) Sen2Cor Configuration and User Manual V2.4 , pp. 1-53
    • Mueller-Wilm, U.1
  • 19
    • 85015947372 scopus 로고    scopus 로고
    • Automatic sub-pixel co-registration of Landsat-8 Operational Land Imager and Sentinel-2A Multi-Spectral Instrument images using phase correlation and machine learning based mapping
    • Skakun, S.V.; Roger, J.-C.; Vermote, E.; Masek, J.; Justice, C. Automatic sub-pixel co-registration of Landsat-8 Operational Land Imager and Sentinel-2A Multi-Spectral Instrument images using phase correlation and machine learning based mapping. Int. J. Digit. Earth 2017, 10, 1253-1269
    • (2017) Int. J. Digit. Earth , vol.10 , pp. 1253-1269
    • Skakun, S.V.1    Roger, J.-C.2    Vermote, E.3    Masek, J.4    Justice, C.5
  • 20
    • 85017515746 scopus 로고    scopus 로고
    • Preliminary Comparison of Sentinel-2 and Landsat 8 Imagery for a Combined Use
    • Mandanici, E.; Bitelli, G. Preliminary Comparison of Sentinel-2 and Landsat 8 Imagery for a Combined Use. Remote Sens. 2016, 8, 1014
    • (2016) Remote Sens , vol.8 , pp. 1014
    • Mandanici, E.1    Bitelli, G.2
  • 21
    • 85038209326 scopus 로고    scopus 로고
    • (accessed on 7 August 2018)
    • CEOS-WGCV. CEOSS Cal/Val Portal. Available online: http://calvalportal.ceos.org/ (accessed on 7 August 2018)
    • CEOSS Cal/Val Portal
  • 24
    • 34948845763 scopus 로고
    • A simple radiometric correction model to improve automatic mapping of vegetation from multispectral satellite data
    • Pons, X.; Solé-Sugrañes, L. A simple radiometric correction model to improve automatic mapping of vegetation from multispectral satellite data. Remote Sens. Environ. 1994, 45, 317-332
    • (1994) Remote Sens. Environ , vol.45 , pp. 317-332
    • Pons, X.1    Solé-Sugrañes, L.2
  • 25
    • 33846641282 scopus 로고    scopus 로고
    • 1st ed, McCoy, R.M., Ed.; The Guilford Press: New York, NY, USA
    • McCoy, R.M. Field Methods in Remote Sensing, 1st ed.; McCoy, R.M., Ed.; The Guilford Press: New York, NY, USA, 2005; p. 159, ISBN 1-59385-080-8
    • (2005) Field Methods in Remote Sensing , pp. 159
    • McCoy, R.M.1
  • 27
    • 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
  • 28
    • 0004057817 scopus 로고
    • 2nd ed, Colwell, R.N., Ed.; American Society of Photogrammetry: Falls Church, VA, USA
    • Colwell, R.N.; Ulaby, F.T.; Simonett, D.S.; Estes, J.E.; Thorley, G.A. Manual of Remote Sensing, 2nd ed.; Colwell, R.N., Ed.; American Society of Photogrammetry: Falls Church, VA, USA, 1983; Volume 2, p. 2440, ISBN 093729442X
    • (1983) Manual of Remote Sensing , vol.2 , pp. 2440
    • Colwell, R.N.1    Ulaby, F.T.2    Simonett, D.S.3    Estes, J.E.4    Thorley, G.A.5
  • 29
    • 85057117870 scopus 로고    scopus 로고
    • Estimación de variables forestales de Pinus Sylvestris L en el contexto de un inventario forestal aplicando tecnología LiDAR aeroportada
    • Sánchez Alberola, J.; Oliver, P.; Estornell, J.; Dopazo, C. Estimación de variables forestales de Pinus Sylvestris L. en el contexto de un inventario forestal aplicando tecnología LiDAR aeroportada [Estimation of forest variables of Pinus Sylvestris L. in the context of a forestry inventory applying airborne LiDAR technology]. GeoFocus 2018, 21, 79-99
    • (2018) GeoFocus , vol.21 , pp. 79-99
    • Sánchez Alberola, J.1    Oliver, P.2    Estornell, J.3    Dopazo, C.4
  • 30
    • 85050500948 scopus 로고    scopus 로고
    • Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows
    • Aasen, H.; Honkavaara, E.; Lucieer, A.; Zarco-Tejada, P.J. Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows. Remote Sens. 2018, 10, 1091
    • (2018) Remote Sens , vol.10 , pp. 1091
    • Aasen, H.1    Honkavaara, E.2    Lucieer, A.3    Zarco-Tejada, P.J.4
  • 32
    • 84961828657 scopus 로고    scopus 로고
    • A critique of field spectroscopy and the challenges and opportunities it presents for remote sensing for agriculture, ecosystems, and hydrology
    • Ecosystems, and Hydrology, Toulouse, France, 14 October
    • Mac Arthur, A.; Robinson, I. A critique of field spectroscopy and the challenges and opportunities it presents for remote sensing for agriculture, ecosystems, and hydrology. In Proceedings of the SPIE Remote Sensing for Agriculture, Ecosystems, and Hydrology, Toulouse, France, 14 October 2015
    • (2015) Proceedings of the SPIE Remote Sensing for Agriculture
    • Mac Arthur, A.1    Robinson, I.2
  • 33
    • 85041491048 scopus 로고    scopus 로고
    • Simplified radiometric calibration for UAS-mounted multispectral sensor
    • Iqbal, F.; Lucieer, A.; Barry, K. Simplified radiometric calibration for UAS-mounted multispectral sensor. European J. Rem. Sens. 2018, 51, 301-313
    • (2018) European J. Rem. Sens , vol.51 , pp. 301-313
    • Iqbal, F.1    Lucieer, A.2    Barry, K.3
  • 36
    • 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.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.J.7
  • 39
    • 85021814283 scopus 로고    scopus 로고
    • MicaSense, Inc.: Seattle, WA, USA (accessed on 1 July 2018)
    • MicaSense. MicaSense RedEdge™ 3 Multispectral Camera User Manual; MicaSense, Inc.: Seattle, WA, USA, 2015; p. 33. Available online: https://support.micasense.com/hc/en-us/article_attachments/204648307/ RedEdge_User_Manual_06.pdf (accessed on 1 July 2018)
    • (2015) MicaSense RedEdge™ 3 Multispectral Camera User Manual , pp. 33
  • 40
    • 85030226114 scopus 로고    scopus 로고
    • Investigation of Parallax Issues for Multi-Lens Multispectral Camera Band Co-Registration
    • Jhan, J.P.; Rau, J.Y.; Haala, N.; Cramer, M. Investigation of Parallax Issues for Multi-Lens Multispectral Camera Band Co-Registration. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2017, XLII-2/W6, 157-163
    • (2017) Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci , vol.42 , Issue.2 W6 , pp. 157-163
    • Jhan, J.P.1    Rau, J.Y.2    Haala, N.3    Cramer, M.4
  • 41
    • 85057077313 scopus 로고    scopus 로고
    • (accessed on 7 August 2018)
    • Parrot Drones. Parrot Sequoia Technical Specifications. 2018. Available online: https://www.parrot.com/ global/parrot-professional/parrot-sequoia#technicals (accessed on 7 August 2018)
    • (2018) Parrot Sequoia Technical Specifications
  • 42
    • 85042307192 scopus 로고    scopus 로고
    • Using Unmanned Aerial Vehicles in Postfire Vegetation Survey Campaigns through Large and Heterogeneous Areas: Opportunities and Challenges
    • Fernández-Guisuraga, J.M.; Sanz-Ablanedo, E.; Suárez-Seoane, S.; Calvo, L. Using Unmanned Aerial Vehicles in Postfire Vegetation Survey Campaigns through Large and Heterogeneous Areas: Opportunities and Challenges. Sensors 2018, 18, 586
    • (2018) Sensors , vol.18 , pp. 586
    • Fernández-Guisuraga, J.M.1    Sanz-Ablanedo, E.2    Suárez-Seoane, S.3    Calvo, L.4
  • 45
    • 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
  • 46
    • 84904742128 scopus 로고    scopus 로고
    • Automatic and improved radiometric correction of Landsat imagery using reference values from MODIS surface reflectance images
    • Pons, X.; Pesquer, L.; Cristóbal, J.; González-Guerrero, O. Automatic and improved radiometric correction of Landsat imagery using reference values from MODIS surface reflectance images. Int. J. Appl. Earth Obs. Geoinf. 2014, 33, 243-254
    • (2014) Int. J. Appl. Earth Obs. Geoinf , vol.33 , pp. 243-254
    • Pons, X.1    Pesquer, L.2    Cristóbal, J.3    González-Guerrero, O.4
  • 48
    • 85057080035 scopus 로고    scopus 로고
    • (accessed on 7 August 2018) Dunedin, FL, USA
    • OceanOptics.USB200+Data Sheet;OceanOptics, Inc.: Dunedin, FL, USA, 2006. Available online: https://oceanoptics. com/wp-content/uploads/OEM-Data-Sheet-USB2000-.pdf (accessed on 7 August 2018)
    • (2006)
  • 49
    • 85057109889 scopus 로고    scopus 로고
    • Rees, W.G., Ed.; Cambridge University Press: New York, NY, USA, 3rd ed
    • Rees, W.G. Physical Principles of Remote Sensing, 3rd ed.; Rees, W.G., Ed.; Cambridge University Press: New York, NY, USA, 2013; p. 441, ISBN 978-1-107-00473-3
    • (2013) Physical Principles of Remote Sensing , pp. 441
    • Rees, W.G.1
  • 50
    • 85057116931 scopus 로고    scopus 로고
    • (accessed on 29 September 2018)
    • National Aeronautics and Space Administration (NASA). Landsat Science: A Lambertian Reflector. 2018. Available online: https://landsat.gsfc.nasa.gov/a-lambertian-reflector/ (accessed on 29 September 2018)
    • (2018) Landsat Science: A Lambertian Reflector
  • 52
    • 85057129462 scopus 로고    scopus 로고
    • Seattle, WA, USA. Personal communication
    • Ciesielski, E.; MicaSense, Seattle, WA, USA. Personal communication, 2016
    • (2016) MicaSense
    • Ciesielski, E.1
  • 54
    • 0006488141 scopus 로고    scopus 로고
    • Versió 8.1f [MiraMon. Geographical Information System and Remote Sensing Software. Version 8.1f]. Centre de Recerca Ecològica i Aplicacions Forestals, CREAF. (accessed on 1 July 2018) Bellaterra
    • Pons, X.; MiraMon. Sistema d'Informació Geogràfica i software de Teledetecció. Versió 8.1f [MiraMon. Geographical Information System and Remote Sensing Software. Version 8.1f]. Centre de Recerca Ecològica i Aplicacions Forestals, CREAF. Bellaterra. 2018. ISBN 84-931323-4-9. Available online: http://www.creaf. uab.cat/miramon/Index_usa.htm (accessed on 1 July 2018)
    • (2018) Sistema d'Informació Geogràfica i software de Teledetecció
    • Pons, X.M.1
  • 55
    • 85057139444 scopus 로고    scopus 로고
    • (accessed on 1 July 2018)
    • Leica Geosystems. Leica Viva GS14 Technical Specifications. 2017. Available online: http://www.leicageosystems. es/downloads123/zz/gpsgis/VivaGS14/brochures-datasheet/Leica_Viva_GS14_DS_es.pdf (accessed on 1 July 2018)
    • (2017) Leica Viva GS14 Technical Specifications
  • 56
    • 84947027505 scopus 로고    scopus 로고
    • Edition 1, Version 1.0.0. (accessed on 1 July 2018)
    • ASPRS (American Society for Photogrammetry and Remote Sensing). ASPRS Positional Accuracy Standards for Digital Geospatial Data. Edition 1, Version 1.0.0. 2014. Available online: http://www.asprs.org/a/society/divisions/pad/Accuracy/ASPRS_Positional_Accuracy_Standards_ for_Digital_Geospatial_Data_Edition1_V1_FinalDraftForPublication.docx (accessed on 1 July 2018)
    • (2014) ASPRS Positional Accuracy Standards for Digital Geospatial Data
  • 57
    • 85057085044 scopus 로고    scopus 로고
    • (accessed on 7 August 2018)
    • MicaSense. RedEdge Camera Radiometric Calibration Model. 2018. Available online: https://support. micasense.com/hc/en-us/articles/115000351194-RedEdge-Camera-Radiometric-Calibration-Model (accessed on 7 August 2018)
    • (2018) RedEdge Camera Radiometric Calibration Model
  • 58
    • 85057103027 scopus 로고    scopus 로고
    • (accessed on 7 August 2018)
    • National Aeronautics and Space Administration (NASA). Landsat Science, Spectral Response of the Operational Land Imager in-Band. 2018. Available online: http://landsat.gsfc.nasa.gov/preliminaryspectral-response-of-the-operational-land-imager-in-band-band-average-relative-spectral-response/ (accessed on 7 August 2018)
    • (2018) Landsat Science, Spectral Response of the Operational Land Imager in-Band
  • 59
    • 85057127475 scopus 로고    scopus 로고
    • (accessed on 7 August 2018)
    • United States Geological Survey (USGS). EarthExplorer Download Tool. 2018. Available online: https://earthexplorer.usgs.gov/ (accessed on 7 August 2018)
    • (2018) EarthExplorer Download Tool
  • 61
    • 85021711660 scopus 로고    scopus 로고
    • (accessed on 28 October 2017)
    • European Space Agency (ESA). Copernicus Open Access Hub. Available online: https://scihub.copernicus. eu/dhus/#/home (accessed on 28 October 2017)
    • Copernicus Open Access Hub
  • 62
    • 85057092004 scopus 로고    scopus 로고
    • (accessed on 7 August 2018)
    • European Space Agency (ESA) Sentinel Online, Sentinel-2A Document Library, Sentinel-2AA (S2A-SRF). 2017. Available online: https://earth.esa.int/web/sentinel/user-guides/sentinel-2-msi/document-library/-/asset_publisher/Wk0TKajiISaR/content/sentinel-2a-spectral-responses (accessed on 7 August 2018)
    • (2017)
  • 63
    • 84960112657 scopus 로고    scopus 로고
    • Version 2.0. (accessed on 21 September 2018)
    • United States Geological Survey (USGS). Landsat-8 Data User Handbook. Version 2.0. 2016. Available online: https://landsat.usgs.gov/landsat-8-l8-data-users-handbook (accessed on 21 September 2018)
    • (2016) Landsat-8 Data User Handbook
  • 64
    • 85057118929 scopus 로고    scopus 로고
    • (accessed on 21 September 2018)
    • European Space Agency (ESA). Sentinel-2 Radiometric Performance. 2018. Available online: https://earth. esa.int/web/sentinel/technical-guides/sentinel-2-msi/performance (accessed on 21 September 2018)
    • (2018) Sentinel-2 Radiometric Performance
  • 66
    • 0023823146 scopus 로고
    • An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data
    • Chavez, P.S., Jr. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sens. Environ. 1988, 24, 459-479
    • (1988) Remote Sens. Environ , vol.24 , pp. 459-479
    • Chavez, P.S.1
  • 68
    • 84940397411 scopus 로고    scopus 로고
    • A Stable Gaussian Fitting Procedure for the Parameterization of Remote Sensed Thermal Images
    • Anniballe, R.; Bonafoni, S. A Stable Gaussian Fitting Procedure for the Parameterization of Remote Sensed Thermal Images. Algorithms 2015, 8, 82-91
    • (2015) Algorithms , vol.8 , pp. 82-91
    • Anniballe, R.1    Bonafoni, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.