I will do forest canopy height

I offer forest canopy height determination services using advanced remote sensing and machine learning techniques. Leveraging Sentinel-1, Sentinel-2, SRTM, and ESA WorldCover datasets, combined with GEDI LiDAR metrics, I extract accurate canopy height estimates through rigorous data processing and regression modeling in Google Earth Engine. My approach integrates inter-quartile range (IQR) analysis, slope derivation, and vegetation masking to create reliable training datasets for Random Forest regression. This service is ideal for forestry management, ecological assessments, and carbon stock evaluation, providing precise canopy height maps tailored to your study area