I will estimate biomass ,soil organic and carbon content

Welcome to my comprehensive gig specializing in biomass estimation, carbon sequestration analysis, and soil organic carbon (SOC) assessment. I leverage advanced machine learning techniques, such as Random Forest and SVM, within Google Earth Engine to analyze diverse ecosystems. Using data from GEDI, Sentinel-1, Sentinel-2, and DEM-derived variables like slope and elevation, I integrate vegetation indices such as NDVI, EVI, and Bare Soil Index to generate precise predictions. My approach includes spectral mixture analysis (SMA) for detailed decomposition of vegetation and soil characteristics, enabling the detection of forest disturbances like logging and fires. For SOC assessment, I incorporate soil data from global datasets, combined with topographic and spectral predictors, to map SOC distribution and identify hotspots. With expertise in temporal and spatial analysis, I provide actionable insights for sustainable land management, climate change mitigation, and environmental conservation, ensuring accurate and data-driven solutions for a greener future.