Groundwater Monitoring Analysis using GLDAS Dataset in Google Earth Engine

In this video, learn how to monitor groundwater storage using the GLDAS (Global Land Data Assimilation System) dataset in Google Earth Engine. From setting up points of interest to generating time-series data, this tutorial covers everything you need to perform groundwater analysis efficiently. This code extracts and processes monthly average groundwater storage (GWS) data from NASA’s GLDAS dataset. It provides an analysis of mean groundwater trends for the entire study area, as well as for two specific locations within China. The code also facilitates visualization of the groundwater changes over time and exports the processed data for further analysis.
✨ What You’ll Learn:
1. Setting Points of Interest: How to define and visualize locations for groundwater monitoring.
2. GLDAS Dataset: Access and process groundwater storage data using the powerful GLDAS dataset.
3. Time-Series Analysis: Generate and visualize time-series charts of mean groundwater data for your study area and specific locations.
4. Data Export: Export groundwater data as images to Google Drive for further analysis or reporting.
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✨ Code link:
code.earthengi...
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📊 Why Watch?
• Ideal for hydrology and GIS enthusiasts interested in satellite-based groundwater monitoring.
• A must-see for researchers working with Earth observation data and Google Earth Engine.
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[@geykum_shakeshigh]

Thanks you very much ❤

[@Venkikrish-f6b]

Thank you sir ❤

[@sir-craigt9070]

Great work 👍👏

[@gunngunn6763]

Thank you 🙏

[@pratibhakachhawa2387]

Can anybody tell me about points..
Can I add more than two points for study area

[@herysshine]

Yes, it's working