A fast language for programmers who are passionate about their craft.
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Updated
Feb 7, 2026 - Crystal
A fast language for programmers who are passionate about their craft.
Creates NDVI, SAVI, RBG, NIR, short wave infrared, agriculture, geology, and bathymetric GeoTIFF files using Landsat8 imagery.
Build Savi application release binaries for multiple platforms from a single CI runner.
Unofficial implementation of SAVi in PyTorch
Plataforma de análisis satelital para monitoreo de suelos agrícolas · Procesamiento de imágenes multiespectrales, índices de vegetación y modelos predictivos.
Cap'n Proto serialized data structures for the Savi language.
Code listings (R and Python) for satellite image processing of Landsat 9 OLI/TIRS and SRTM DEM data: band stacking, RGB/false-colour composites, vegetation indices (NDVI, SAVI, EVI2, ARVI2) via terra/raster, and DEM hillshade via rasterio/earthpy. Cote d'Ivoire; Lemenkova & Debeir (2022), J. Imaging 8(12):317.
The official testing framework for Savi.
EO-based cropland vegetation and soil proxy analysis using Sentinel-2 indices and ERA5-Land climate data for Brandenburg, Germany.
A standard interface for the varying random number generators in the Savi standard library.
Read from the program's standard input stream using the Savi standard library.
A wrapper for `libtorch` (the C++ library underpinning `pytorch`) for Savi.
Multi-temporal Landsat 8 image-processing workflow for flood monitoring in the Inner Niger Delta, Mali (2013-2022): R/terra vegetation indices (NDVI, EVI, SAVI), RStoolbox/GRASS unsupervised k-means classification, Python Pearson/Kendall correlograms and a GMT map. Lemenkova & Debeir (2023), Artificial Satellites 58(4):278-313.
An HTTP server implementation for the Savi standard library, written in pure Savi.
JSON reading and writing for the Savi standard library, written in pure Savi.
Read from and write to byte streams using the Savi standard library.
Hash Map data structures for the Savi standard library.
File-related operations for Savi.
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