Developing soil moisture maps at high spatiotemporal resolution
Created 2024-01-25 13:44:18 and last modified 2024-01-25 15:08:22 CET
Began in 2023
Summary
Digital soil moisture maps are valuable tools to practitioners, stakeholders and researchers for planning forest management and promoting nature conservation. In this project, we evaluate a machine-learning procedure that combines LIDAR-derived terrain and vegetation indices, reanalysis climatological data and in-situ field measurements to develop daily soil moisture maps at 2-meter resolution for 3 study sites in Sweden (Krycklan, Asa, and Grimsö).
soil moisture digital maps high spatiotemporal resolution