Global Water Storage Monitoring & Anomaly Detection using GRACE Dataset in GEE Python Colab

Global Water Storage Monitoring & Anomaly Detection using GRACE Dataset in GEE Python Colab47:07

Download-Informationen und Videodetails Global Water Storage Monitoring & Anomaly Detection using GRACE Dataset in GEE Python Colab

Autor:

Terra Spatial

Veröffentlicht am:

8.12.2025

Aufrufe:

459

Beschreibung:

This tutorial walks you through a complete, publication‑ready workflow—from extracting country boundaries to computing long‑term water storage anomalies using GRACE Mascon V04 data. This video gives you everything you need to analyze groundwater depletion, drought signals, and long‑term hydrological shifts.