{ "_id": "6aca463bfe5cc25786e865b3", "Package": "GeoIndexR", "Title": "Computation of Spectral and Geospatial Indices from\nMultispectral Raster Data", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Mamadou\", \"Sow\", email = \"sowsalim01@gmail.com\", role = c(\"aut\", \"cre\"))\n)", "Description": "A unified, fast, and extensible framework for calculating\nspectral and geospatial indices from multispectral raster\ndatasets (e.g., NDVI - Normalized Difference Vegetation Index,\nNDWI - Normalized Difference Water Index, MNDWI - Modified\nNormalized Difference Water Index, NDBI - Normalized Difference\nBuilt-up Index, SAVI - Soil Adjusted Vegetation Index, EVI -\nEnhanced Vegetation Index, GNDVI - Green Normalized Difference\nVegetation Index, NDMI - Normalized Difference Moisture Index,\nBSI - Bare Soil Index). Designed around 'terra' 'SpatRaster'\nobjects, it supports multi-band rasters, automatic band\nresolution, sensor presets (Sentinel-2, Landsat-8/9),\ncustomizable index parameters, vectorized computations, and\ncomprehensive validation. Methods based on Rouse et al. (1973)\n, McFeeters (1996) , Xu (2006)\n, Zha et al. (2003)\n, Huete (1988)\n, Gitelson et al. (1996)\n, Wilson and Sader (2002)\n, and Rikimaru et al.\n(2002).", "License": "MIT + file LICENSE", "URL": "https://github.com/sowsalim01/GeoIndexR", "BugReports": "https://github.com/sowsalim01/GeoIndexR/issues", "Config/testthat/edition": "3", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "Config/roxygen2/version": "8.1.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-10 14:00:14 UTC", "User": "root" }, "Author": "Mamadou Sow [aut, cre]", "Maintainer": "Mamadou Sow ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-10-10 13:51:39 UTC", "RemoteUrl": "https://github.com/cran/GeoIndexR", "RemoteRef": "HEAD", "RemoteSha": "aee39ae67e61a0f58b18eae2d364ea3cd49d3de4", "_user": "cran", "_type": "src", "_file": "GeoIndexR_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/697cf8584fd11c26c248908ae1a33adf77e9ce1181034f1d7ed324add56ab8d1", "_filesize": 349513, "_sha256": "697cf8584fd11c26c248908ae1a33adf77e9ce1181034f1d7ed324add56ab8d1", "_expires": 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