用户友好的Rasterio插件,用于读取栅格数据集。

raster-processing 开源项目推荐(39 个)
raster-processing 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 39 个仓库Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80
parallel Raster Processing Library (pRPL) is a MPI-enabled C++ programming library that provides easy-to-use interfaces to parallelize raster/image processing algorithms
A repository of miscellaneous JavaScript-based packages for Google Earth Engine (GEE)
Test with Python module rasterstats.
GDAL utility and GRASS GIS shell scripts for topographic and geophysical modelling of the Okinawa Trough and Ryukyu trench-arc system from the GEBCO DEM: aspect, hillshade, roughness, TPI, TRI, gravity and geoid mapping via gdaldem/gdalwarp and r.in.gdal. Figures for Lemenkova, Podzemni Radovi 2021, (38):87-100.
GMT (Generic Mapping Tools) shell scripts mapping total marine sediment thickness from the NOAA/NGDC GlobSed grid over ocean basins, seas and trenches, with turbo colour-shaded grids, isopach contours, coastlines and cartographic layout.
GRASS GIS shell scripts for vector data processing and thematic land-cover mapping of Burundi: shapefile import (v.in.ogr), attribute-table queries (v.db.select, db.*), vector styling (v.colors) and display, plus a Landsat mosaic classification workflow. Figures for Lemenkova, Geografares 2024, 4(39) (EN & FR versions).
GMT (Generic Mapping Tools) shell scripts demonstrating coastline-based raster clipping (pscoast clip paths) to render a colour geoid over the ocean and gray-shaded relief over masked land, for the Kuril-Kamchatka and Mariana Trenches.
GMT shell script producing a shaded-relief bathymetric map of the Kuril-Kamchatka Trench (NW Pacific) from the ETOPO1 1-arc-minute grid. Companion figure for Lemenkova, Reports on Geodesy and Geoinformatics 2019, 108:9-22.
GRASS GIS and GDAL shell scripts for topographical and geophysical analysis of the Japanese Archipelago from NOAA marine geophysical data and a GEBCO grid: bathymetry, geoid, gravity, magnetic anomaly, sediment thickness and slope/aspect. Figures for Lemenkova, Geomatics Environ. Eng. 2020, 14(4):25-45.
Collection of ~180 GMT (Generic Mapping Tools) shell scripts producing shaded-relief topographic and bathymetric maps of countries and regions worldwide from global DEMs (ETOPO1, GEBCO, SRTM, GLOBE), with DCW country clipping, custom CPTs, contours and cartographic layout.
GDAL command-line shell scripts for geospatial raster processing: reprojecting and warping grids between coordinate reference systems and map projections (gdalwarp), format conversion between NetCDF, GeoTIFF and binary (gdal_translate), and raster metadata inspection (gdalinfo).
Python scripts for raster and satellite image processing with the EarthPy library: DEM hillshade and 3D surface, multiband stacking, RGB composites, band plots and histograms of Landsat and SRTM data (rasterio, geopandas, matplotlib, plotly).
GRASS GIS shell scripts compiling and thematically mapping Antarctic datasets: topographic surface, ice thickness, subglacial bed elevation and ice/rock masks from BEDMAP2, sediment thickness from GlobSed, and ETOPO1 topography and geoid. Figures for Lemenkova, Czech Polar Reports 2021, 11(1):67-85.
GMT (Generic Mapping Tools) shell script processing the GLOBE DEM (Global Land One-km Base Elevation, 30 arc-second): converting raw 16-bit signed-integer binary tiles to GMT .grd grids with xyz2grd, batch mosaicking to a global XYZ, and rendering the relief.
Domain-decomposition engine (blocks + halo/ghost cells) for cellular automata on rasters larger than RAM, integrated with dissmodel.
GMT (Generic Mapping Tools) shell scripts demonstrating coastline-based raster clipping (pscoast clip paths) to render one dataset over the ocean and a differently styled, gray-shaded version over masked land, for geoid and relief maps of ocean-trench regions.
LaTeX source for the article 'R Libraries for Remote Sensing Data Classification by K-Means Clustering and NDVI Computation in Congo River Basin, DRC' (Lemenkova & Debeir, Applied Sciences 2022, 12(24):12554). R-based k-means classification and NDVI of Landsat OLI/TIRS.
GRASS GIS shell scripts computing ten vegetation indices (NDVI, DVI, ARVI, EVI, GEMI, MSAVI2, NDWI, PVI, GARI, IPVI) from Landsat OLI/TIRS imagery for woodland mapping and deforestation change detection in central Angola (2013-2023).
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/raster-processing。
- 该话题在 GitHub 上共有 39 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 818 Star,覆盖 4 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。