Research Interest Area

My research interest areas are extensive, i.e., machine learning and geographic quantitative methods, remote sensing, Geo-AI, data collection and processing of terrestrial and aerial LiDAR data, UAV, Hyperspectral remote sensing, Vegetation indices, numerical modeling, Geography, Digital image processing/interpretation (Synthetic Aperture Radar (SAR) and Optical Remote Sensing), Precision agriculture (Crop yield estimation, cropland, cropping pattern, crop types, agricultural expansion, etc.) Forestry (vegetation dynamics, Change detection, forest cover dynamics, forestation, and deforestation), Environmental sciences, Urban remote sensing (3D-Geoinformation, Urban analytics, spatial analysis to examine LULC, Urban planning, Geospatial data science), Natural hazards (wildfire and vegetation dynamics, Wildfire Forest Fire, Prescribed fire, Hazards risk reduction, Land subsidence, contamination of water, Flash flood, flood prediction, flood forecasting, flood damage assessment, flood warning, Drought monitoring, etc.) using Google Earth Engine, machine learning modeling, HEC-RAS, FlowR, RAMMS, GeoClaw, COSI-Corr, SfM, AHP, FR, multi-criteria algorithms, Ecosystem sustainability, Statistical analysis modeling, Python, R and MATLAB.