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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. lidaRtRee_tutorials are now integrated as vignettes of the R package lidaRtRee. Documentation and tutorials are on https://lidar.pages-forge.inrae.fr/lidaRtRee/
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R package providing functions for forest analysis using airborne laser scanning (lidar remote sensing) data. R package lidaRtRee has moved to https://forge.inrae.fr/lidar/lidaRtRee Documentation and tutorials are on https://lidar.pages-forge.inrae.fr/lidaRtRee/
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R package. Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)
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R package. Suite of Tools to Perform Ensemble-Based Data Assimilation in GR Hydrological Models
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R package for recovering and preparing useful data for damage appraisal in a French context
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Decloud is a framework to remove clouds in Sentinel-2 images from joint Sentinel-1 (SAR) and Sentinel-2 (Optical) images or time series.
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Utils for RS data objects manipulation (extents, etc.)
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A set of OTB applications for Machine Learning
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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.
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