REsampling Large Inputs/Outputs (relio) : a model to resample low resolution hydrological rasters to high resolution - FAYOL / PIESO : Performance Industrielle et Environnementale des Systèmes et des Organisations
Logiciel Année : 2024

REsampling Large Inputs/Outputs (relio) : a model to resample low resolution hydrological rasters to high resolution

Résumé

relio is a set of scripts that build up a model to resample raster images featuring hydrological data. The model is designed to take a low resolution (typically 1e3m x 1e3m) raster file of GCM-generated hydrological data (typically water discharge) and convert it to a high resolution raster file (typically 1e1m x 1e1m). It is a statistical-physical mixture model that prevents running sophisticated LCMs to get higher resolution data but builds its satistical resampling technic upon a routed flow constraint (conversely to conventionnal GIS resempling algorithms, which are built upon the hypothesis of continuous domains). Across 19 scripts, it implements 3 main algorithms: 1. A derasterization algorithm used to breakdown the source grid cells 2. A convolution algorithm used to spread hydrological data accross the destination grid cells 3. A (optionnal) rasterization algorithm used to map hydrological point data to the destination grid cells
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