Retrieval of rice crop growth variables using multi-temporal RISAT-1 remotely sensed data

Microwave remote sensing sensors have great potential due to their capability to operate in any weather condition for the wide range of agricultural applications. The rice crop variables such as leaf area index (LAI) and plant height (PH) were retrieved for the monitoring of crop growth to improve crop production. The interaction of rice crop variables with medium spatial resolution (25 m) Radar Imaging Satellite-1 (RISAT-1) data for Varanasi district, India, was examined. The multi-temporal dual polarization (HH- and HV-) images having frequency 5.35 GHz at C-band were investigated. Crop growth profile derived from the analysis of temporal backscattering (July–October, 2013) showed 3–4 dB difference throughout its growth cycle. The rice crop variables were retrieved by the inversion of polynomial models and showed higher values of coefficient of determination (R²) for HH-polarization in comparison to HV-polarization.