Remote Sensing Indices in Agricultural Research: NDVI, EVI, PRI, LAI & SIF

Remote sensing indices, derived from satellite and aerial imagery, have become indispensable tools in agricultural research. These indices, including the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Photochemical Reflectance Index (PRI), leaf area index (LAI), and Solar-induced chlorophyll fluorescence (SIF), provide valuable insights into various aspects of crop health, growth, and productivity. Researchers and farmers alike utilize these indices to monitor plant health, estimate biomass, predict yields, optimize irrigation and fertilization practices, and detect stress factors such as pests, diseases, and nutrient deficiencies.