Field Campaigns & Activities
[sg_popup id=”6″ event=”click”]Monitoring Rice Crop using Time-series Sentinel-1 Data in Google Earth Engine Platform[/sg_popup]
This research work aims to explore the efficiency of using the Google Earth Engine (GEE) platform for temporal analysis of rice with the potential to apply the platform for a larger scale.
[sg_popup id=”1″ event=”click”]Crop Biophysical Parameters Retrieval from Polarimetric SAR data[/sg_popup]
This research work aims to assess an inversion algorithm for the semi-empirical water cloud model of vegetation based on radar backscattering power. The multi-target SVR has implemented for the simultaneous inversion of Leaf Area Index (LAI) and crop wet biomass over L-band E-SAR/AgriSAR 2006 data for winter barley crop.