A SURVEY ON THE RELATIONSHIP BETWEEN SENTINEL-2 DERIVED VEGETATION INDICES AND BIOPHYSICAL PARAMETERS OF SUNFLOWER AT DIFFERENT PHENOLOGICAL STAGES

Abstract

Remote Sensing (RS) technology offers great advantages in spatio-temporal mapping and monitoring of agricultural crops for the purpose of revealing the existing state of the crop and evaluating the biophysical parameters. Many satellite missions, especially Landsat series and Sentinel-2, have been utilized to analyze and assess agricultural activities. Amongst the publicly available satellite data, Sentinel-2 mission provides high spatial resolution and short revisit time, which enables precision farming applications So far, many studies have attempted to present the sensitivity of satellite-derived parameters (backscattering coefficients, vegetation indices, spectral reflectance, etc.) to the biophysical parameters (soil moisture, biomass, chlorophyll, crop height, leaf area index, etc.) of various crops such as cotton, sunflower, and bean (Sekertekin et al.,