Evaluation of the Landsat-5 TM and Landsat-7 ETM+ surface reflectance products

Remote Sensing of Environment - Tập 169 - Trang 390-403 - 2015
Martin Claverie1,2, Eric F. Vermote2, Belen Franch1,2, Jeffrey G. Masek2
1Department of Geographical Sciences, University of Maryland, College Park, MD 20742, United States
2NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, United States

Tài liệu tham khảo

de Abelleyra, 2014, Remote Sensing of Environment, 140, 46, 10.1016/j.rse.2013.08.019 Atkinson, 1997, Introduction neural networks in remote sensing, International Journal of Remote Sensing, 18, 699, 10.1080/014311697218700 Bacour, 2005, Variability of biome reflectance directional signatures as seen by POLDER, Remote Sensing of Environment, 98, 80, 10.1016/j.rse.2005.06.008 Baret, 2003, Satellite derived leaf area index derived from SPOT time series in the ADAM project, 155 Baret, 2007, LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION – Part 1: Principles of the algorithm, Remote Sensing of Environment, 110, 275, 10.1016/j.rse.2007.02.018 Becker-Reshef, 2010, A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data, Remote Sensing of Environment, 114, 1312, 10.1016/j.rse.2010.01.010 Breon, 2015, Measuring the directional variations of land surface reflectance from MODIS, IEEE Transactions on Geoscience and Remote Sensing, 1 Breon, 2012, Correction of MODIS surface reflectance time series for BRDF effects, Remote Sensing of Environment, 125, 1, 10.1016/j.rse.2012.06.025 Campagnolo, 2014, Estimation of effective resolution for daily MODIS gridded surface reflectance products, IEEE Transactions on Geoscience and Remote Sensing, 52, 5622, 10.1109/TGRS.2013.2291496 Chander, 2013, Applications of spectral band adjustment factors (SBAF) for cross-calibration, IEEE Transactions on Geoscience and Remote Sensing, 51, 1267, 10.1109/TGRS.2012.2228007 Claverie, 2013, Validation of coarse spatial resolution LAI and FAPAR time series over cropland in southwest France, Remote Sensing of Environment, 139, 216, 10.1016/j.rse.2013.07.027 de Colstoun, 2006, Improving global scale land cover classifications with multi-directional POLDER data and a decision tree classifier, Remote Sensing of Environment, 100, 474, 10.1016/j.rse.2005.11.003 Demuth, 1998 Dubovik, 2000, Accuracy assessments of aerosol optical properties retrieved from aerosol robotic network (AERONET) sun and sky radiance measurements, Journal of Geophysical Research, 105, 9791, 10.1029/2000JD900040 Duveiller, 2011, Retrieving wheat green area index during the growing season from optical time series measurements based on neural network radiative transfer inversion, Remote Sensing of Environment, 115, 887, 10.1016/j.rse.2010.11.016 Feng, 2012, Quality assessment of Landsat surface reflectance products using MODIS data, Computers & Geosciences, 38, 9, 10.1016/j.cageo.2011.04.011 Feng, 2013, Global surface reflectance products from Landsat: Assessment using coincident MODIS observations, Remote Sensing of Environment, 134, 276, 10.1016/j.rse.2013.02.031 Franch, 2014, Retrieval of surface albedo on a daily Basis: application to MODIS data, IEEE Transactions on Geoscience and Remote Sensing, 52, 7549, 10.1109/TGRS.2014.2313842 Gutman, 2008, Towards monitoring land-cover and land-use changes at a global scale: The Global Land Survey 2005, Photogrammetric Engineering and Remote Sensing, 74, 6 Holben, 1998, AERONET — A federated instrument network and data archive for aerosol characterization, Remote Sensing of Environment, 66, 1, 10.1016/S0034-4257(98)00031-5 Irish, 2006, Characterization of the landsat-7 ETM+ automated cloud-cover assessment (ACCA) algorithm, Photogrammetric Engineering and Remote Sensing, 72, 1179, 10.14358/PERS.72.10.1179 Jacquemoud, 2009, PROSPECT plus SAIL models: A review of use for vegetation characterization, Remote Sensing of Environment, 113, S56, 10.1016/j.rse.2008.01.026 Ju, 2012, Continental-scale validation of MODIS-based and LEDAPS Landsat ETM plus atmospheric correction methods, Remote Sensing of Environment, 122, 175, 10.1016/j.rse.2011.12.025 Kardoulas, 1996, Geometric correction of SPOT and Landsat imagery: A comparison of map- and GPS-derived control points, Photogrammetric Engineering and Remote Sensing, 62, 1173 Kaufman, 1989, The atmospheric effect on remote sensing and its correction, 341 Kaufman, 1997, The MODIS 2.1-μm channel - Correlation with visible reflectance for use in remote sensing of aerosol, IEEE Transactions on Geoscience and Remote Sensing, 35, 1286, 10.1109/36.628795 Kotchenova, 2007, Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part II. Homogeneous lambertian and anisotropic surfaces, Applied Optics, 46, 4455, 10.1364/AO.46.004455 Kotchenova, 2006, Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part I: Path radiance, Applied Optics, 45, 6762, 10.1364/AO.45.006762 Krasnopolsky, 2003, Some neural network applications in environmental sciences. Part II: Advancing computational efficiency in environmental numerical models, Neural Networks, 16, 335, 10.1016/S0893-6080(03)00026-1 Lee, 2004, Four years of Landsat-7 on-orbit geometric calibration and performance, IEEE Transactions on Geoscience and Remote Sensing, 42, 2786, 10.1109/TGRS.2004.836769 van Leeuwen, 2006, Multi-sensor NDVI data continuity: Uncertainties and implications for vegetation monitoring applications, Remote Sensing of Environment, 100, 67, 10.1016/j.rse.2005.10.002 Li, 1992, Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy — Effect of crown shape and mutual shadowing, IEEE Transactions on Geoscience and Remote Sensing, 30, 276, 10.1109/36.134078 Lucht, 1998, Expected retrieval accuracies of bidirectional reflectance and albedo from EOS-MODIS and MISR angular sampling, Journal of Geophysical Research-Atmospheres, 103, 8763, 10.1029/98JD00089 Mahtab, 2009, An assessment of angular variations of red and NIR reflectances in multi-date IRS-1D wide field sensor data, International Journal of Remote Sensing, 30, 4599, 10.1080/01431160802621226 Maiersperger, 2013, Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data, Remote Sensing of Environment, 136, 1, 10.1016/j.rse.2013.04.007 Maignan, 2004, Bidirectional reflectance of earth targets: Evaluation of analytical models using a large set of spaceborne measurements with emphasis on the hot spot, Remote Sensing of Environment, 90, 210, 10.1016/j.rse.2003.12.006 Markham, 2012, Forty-year calibrated record of earth-reflected radiance from Landsat: A review, Remote Sensing of Environment, 122, 30, 10.1016/j.rse.2011.06.026 Masek, 2006, A Landsat surface reflectance dataset for North America, 1990–2000, IEEE Geoscience and Remote Sensing Letters, 3, 68, 10.1109/LGRS.2005.857030 Miura, 2006, An empirical investigation of cross-sensor relationships of NDVI and red/near-infrared reflectance using EO-1 Hyperion data, Remote Sensing of Environment, 100, 223, 10.1016/j.rse.2005.10.010 Ngia, 2000, Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg–Marquardt algorithm, IEEE Transactions on Signal Processing, 48, 1915, 10.1109/78.847778 Roujean, 1992, A bidirectional reflectance model of the earths surface for the correction of remote-sensing data, Journal of Geophysical Research-Atmospheres, 97, 20455, 10.1029/92JD01411 Roy, 2014, Conterminous United States demonstration and characterization of MODIS-based Landsat ETM plus atmospheric correction, Remote Sensing of Environment, 140, 433, 10.1016/j.rse.2013.09.012 Roy, 2014, Landsat-8: Science and product vision for terrestrial global change research, Remote Sensing of Environment, 145, 154, 10.1016/j.rse.2014.02.001 Roy, 2002, The MODIS land product quality assessment approach, Remote Sensing of Environment, 83, 62, 10.1016/S0034-4257(02)00087-1 Schaaf, 2002, First operational BRDF, albedo nadir reflectance products from MODIS, Remote Sensing of Environment, 83, 135, 10.1016/S0034-4257(02)00091-3 Steven, 2003, Intercalibration of vegetation indices from different sensor systems, Remote Sensing of Environment, 88, 412, 10.1016/j.rse.2003.08.010 Teillet, 2007, Impacts of spectral band difference effects on radiometric cross-calibration between satellite sensors in the solar-reflective spectral domain, Remote Sensing of Environment, 110, 393, 10.1016/j.rse.2007.03.003 Tucker, 2004, NASA's global orthorectified Landsat data set, Photogrammetric Engineering and Remote Sensing, 70, 313, 10.14358/PERS.70.3.313 Verger, 2011, Optimal modalities for radiative transfer-neural network estimation of canopy biophysical characteristics: Evaluation over an agricultural area with CHRIS/PROBA observations, Remote Sensing of Environment, 115, 415, 10.1016/j.rse.2010.09.012 Vermote, 2007 Vermote, 2009, Towards a generalized approach for correction of the BRDF effect in MODIS directional reflectances, IEEE Transactions on Geoscience and Remote Sensing, 47, 10.1109/TGRS.2008.2005977 Vermote, 2008, Atmospheric correction for the monitoring of land surfaces, Journal of Geophysical Research-Atmospheres, 113, D23S90, 10.1029/2007JD009662 Vermote, 2002, Atmospheric correction of MODIS data in the visible to middle infrared: First results, Remote Sensing of Environment, 83, 97, 10.1016/S0034-4257(02)00089-5 Vermote, 1997, Second simulation of the satellite signal in the solar spectrum, 6s: An overview, IEEE Transactions on Geoscience and Remote Sensing, 35, 675, 10.1109/36.581987 Wang, 2006, A new method for retrieving band 6 of Aqua MODIS, IEEE Geoscience and Remote Sensing Letters, 3, 267, 10.1109/LGRS.2006.869966 Wolfe, 1998, MODIS land data storage, gridding, and compositing methodology: Level 2 grid, IEEE Transactions on Geoscience and Remote Sensing, 36, 1324, 10.1109/36.701082 Woodcock, 2008, Free access to Landsat imagery, Science, 320, 1011, 10.1126/science.320.5879.1011a