Downscaling of vegetation indices from multi-satellite throughout-season maize

Abstract Phenomenology of the growing season The Normalized Difference Vegetative Index (NDVI) provided by satellites was employed as a replacement for quantifying output vegetative biomass. MODIS sensors 250-m data have been utilized terrestrial ecosystem modelling and monitoring. MODIS’s land surface are credible trustworthy because to their high temporal resolution broad spectrum wavelengths. Land cover change studies used spatially accurate Landsat 30m characterize human-scale processes. Sentinel-2 is surveillance satellite with innovative capabilities, extensive coverage, excellent spatial resolutions. primary purpose this work create downscaling vegetation indices (VI) database combining MODIS, Landsat, Sentinel into 250m resolution. most important NDVI indicates maize in April August. derived biophysical information deliver same moderate-scale biological aspects. This multi-sensor inquiry also includes high-resolution data, which will be useful local ecological investigations while keeping full seasonal dynamic given MODIS.