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Comparison of Five Spectral Indices and Six Imagery Classification Techniques for Assessment of Crop Residue Cover Using Four Years of Landsat Imagery.

, , , and . Remote. Sens., 15 (18): 4596 (September 2023)

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Comparison of Five Spectral Indices and Six Imagery Classification Techniques for Assessment of Crop Residue Cover Using Four Years of Landsat Imagery., , , and . Remote. Sens., 15 (18): 4596 (September 2023)Evaluation of Incident Light Sensors on Unmanned Aircraft for Calculation of Spectral Reflectance., and . Remote Sensing, 11 (22): 2622 (2019)Detection of changes in leaf water content using near-and middle-infrared reflectances, and . Remote sensing of environment, 30 (1): 43--54 (1989)Wheat straw composition and spectral reflectance changes during decomposition., , , , and . WHISPERS, page 1-4. IEEE, (2009)A visible band index for remote sensing leaf chlorophyll content at the canopy scale., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2013)Comparison of vegetation water content estimates from WindSAT AND MODIS., , , and . IGARSS, page 3879-3881. IEEE, (2010)Remote sensing of crop residue cover and soil tillage intensity., , , , and . IGARSS, page 2192-2194. IEEE, (2003)Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring., , , , , and . Remote. Sens., 2 (1): 290-305 (2010)Incorporation of Stem Water Content into Vegetation Optical Depth for Crops and Woodlands., , , , , and . Remote Sensing, 10 (2): 273 (2018)An Improved ASTER Index for Remote Sensing of Crop Residue., , , , and . Remote. Sens., 1 (4): 971-991 (2009)