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Earth Engine Apps

Sea Level Rise Impact Explorer (France)

This explorer shows the potential impact of the sea level risis.

Lidar Data Explorer (France)

This demonstrator shows the potential of lidar data analysis over the department of the Rhône (France)

Circular Economy – Reuse of dredged sediments (France)

This explorer describes local soil properties, and theoretical oportunities to reuse dredge sediments on croplands.

Groundwater Recharge Explorer (Europe)

This explorer allows groundwater time series analysis across the entiore Europe.


Articles & tutorials

Evolution of soil moisture in France over the last 50 years

Each year, droughts are responsible for several hundreds of millions of euros of damages: cracks of individual houses, agricultural losses, etc. The objective of this article is to present the evolution of SWI (Soil Wetness Index) in France since 50 years. The implementation is based on a public dataset distributed by Météo-France and ingested/analyzed using Earth Engine technology. To know more about it…

Earth Engine France Project (EEFR)

The objective of the Earth Engine France project is to deploy high quality geographic datasets covering France in Google Earth Engine. These datasets cover various domains such as agriculture, hydrology and hydrogeology, land use description, etc. Several Earth Engine assets are described and illustrated with examples. For more information, please click here…


Preprocessing the DEM of France for its implementation in Earth Engine

A digital elevation model (DEM) is a description of the ground elevation. The objective of this article is to detail the steps for implementing the DEM France high resolution (RGE ALTI® 5m – IGN) in Earth Engine. The procedure is applied to the southern part of Corsica (Department 2A) but can be easily transposed to the entire territory. To know more about it…


Estimation of groundwater recharge with Earth Engine

This Earth Engine tutorial is about the calculation of groundwater recharge. The wilting point and field capacity of the soil are calculated by applying some mathematical expressions to several images. Then the evapotranspiration and precipitation data are resampled and combined. Finally, the Thornthwaite-Mather procedure is implemented. This tutorial provides an introduction to several key concepts of the Google Earth Engine Python API. To know more about it…


Introduction to the Google Earth Engine Python API

In recent years, a phenomenal amount of geospatial data, such as satellite data or large-scale model results, have become freely available from several national agencies. In this article, we explore the Google Earth Engine Python API that gives the ability to manipulate these datasets in a Python environment. This tutorial provides an introduction to the basics of the Google Earth Engine Python API. To know more about it…


Geoscience notebooks collection

In this GitHub directory, you will find a collection of jupyter notebooks dedicated to geosciences: accessing and processing public data, getting to grips with Python libraries specific to geosciences, developing analytical solutions useful in the field of hydrogeology and geothermal energy, Google Earth Engine tutorial, etc. For more information…