Empowering Earth Observation Science

The first unified environment for developing, sharing
and reusing Earth Observation wave interaction
forward and inverse models

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eo-WIMEX helps you to

BUILD & TEST

Build and refine your model using a wide variety of Earth Observation data, in-situ measurements, and custom datasets.

HOST & EXECUTE

Run your models on scalable computational clusters, regardless of the model's programming language.

SHARE & REUSE

Share your models with the scientific community or reuse one of the available models to support your future missions and help develop new Earth Science applications.

Hosted SAR Models for Land Applications

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SSA1 & SSA2

Owner: Sapienza University of Rome

Small Slope Approximation for the solution of the scattering from rough bare soils. A first order solution (SSA1) and a second order solution (SSA2) are available.

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Dubois-B

Owner: INRAE, French Institute for Agriculture, Food and Environment

Dubois-B is a new semi-empirical radar backscattering model for bare agricultural soils was developed by Baghdadi et al.

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IEM-B

Owner: INRAE, French Institute for Agriculture, Food and Environment

The Integral Equation Model is widely used in inversion procedures of SAR images for retrieving soil moisture content and roughness.

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CDSM

Owner: CNRS/CESBIO

It proposes an estimation of surface soil moisture by combining data from Sentinel-1 and optical data from Sentinel-2 or Landsat.

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Phase2Snow

Owner: Finnish Meteorological Institute

It inverses the observed phase change due to snow changes between the InSAR pairs using the model proposed by Guneriussen et al 2001.

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S2MP

Owner: INRAE, French Institute for Agriculture, Food and Environment

Sentinel-1/Sentinel-2-derived Soil Moisture Product at plot scale.

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Discover more models

Have a question?

We have the answer.

What are forward and inverse models?

Forward models can predict what satellite sensors would measure depending on acquisition parameters. They simulate how electromagnetic radiation interacts with the Earth's surface and atmosphere. In contrast, inverse models use the data that satellites gather and interpret it to estimate various geophysical parameters on Earth.

How can eo-WIMEX help developing and testing a new model?

Your models can be hosted and run on virtual machines. You'll have access to the eo-WIMEX Model Development Environment, a Linux-based virtual machine designed for developing and testing your model. Various CPU and memory configurations will be available, and you'll be able to connect via SSH or remote desktop.

What EO data is available through eo-WIMEX?

eo-WIMEX connects your model to a variety of data sources, including local and distributed Earth Observation data, in situ measurements, and custom datasets. It also supports Look-Up Tables (LUTs) and derived data cubes from forward models.

How can I integrate a new model in eo-WIMEX?

Any model can be integrated into eo-WIMEX if it follows the required interface and structure. eo-WIMEX supports automating the uploading, distribution, and execution of your model. Once integrated, you can store your model in the Framework Repository for easy execution.

How can I share my model with eo-WIMEX users?

Once your model is integrated into the Framework Repository, it will be included in a model catalogue accessible by other eo-WIMEX users. The repository supports versioning so that users can manage multiple versions of their models.

The platform designed to ease wave interaction models development, deployment, and execution.

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