GitLab

Dinamis Interactive Processing Service (DIPS)

R package. Retrieve French Hydrological Data from HydroPortail

Angular interface of Cassiopée

https://cassiopee.g-eau.fr

Javascript Library for Hydraulics used in Cassiopée.

https://cassiopee.g-eau.fr

R package. Suite of GR Hydrological Models for Precipitation-Runoff Modelling

Online Documentation // Download PDF Documentation

R package. Suite of GR Hydrological Models for Precipitation-Runoff Modelling

Fork for implementation of route models for semi-distribution (Enola Henrotin internship)

Website. airGR R package

The MORINGA processing chain: land cover mapping from VHSR imagery and HR time series using OBIA

Documentation: https://reversaal.gitlab.irstea.page/OhmPi

pdf2blocs merge the resultS of two others softwares pdftotext and pdftohtml. The pdf conversion was optimized to translate the Plant Health Alert Bulletin into html files. This project is part of the d2kab project.

Tutorials for forest analysis with airborne laser scanning (lidar) remote sensing. Tree detection and segmentation, field plot co-registration, forest parameters and habitat metrics mapping, forest gaps and edges detection.

The Orfeo ToolBox (OTB) extension for Deep Learning. Enable the use of TensorFlow models on Remote Sensing images. Provides OTB applications for patches sampling, model training, model inference, hybrid models, and so on.

R package for recovering and preparing useful data for damage appraisal in a French context

FrenchCropUsage is a thesaurus of types of crops, organized according to their destination (direct human food, animal feed, food industry, etc) and the type of culture system (field crop, market gardening, etc.).

Scenes is a helper to use collections of VHRS images (e.g. Spot-6/7)

'airGR' based Integrated Water Resource Management Model.

This R package works on top of on the 'airGR' package. It aims to model the catchment area with a semi-distributed model integrating human infrastructures and their management.

Decloud is a framework to remove clouds in Sentinel-2 images from joint Sentinel-1 (SAR) and Sentinel-2 (Optical) images or time series.