geomaster
覆盖多源卫星数据与多语言示例，科研与工程皆可用。
安装依赖（如 GDAL）会下载外部二进制，安装复杂。
处理卫星影像、栅格/矢量与空间分析的综合地理空间技能包。
一整套遥感和 GIS 工具，能处理卫星影像（Sentinel、Landsat、SAR、超光谱）、栅格/矢量、点云和空间统计。适合做土地覆盖、地形、水文、海洋分析、空间机器学习或大规模卫星数据处理时使用。特色是支持 STAC、COG、Planetary Computer 等云原生工作流，并附 500+ 跨 Python、R、Julia 等语言的代码示例，便于直接套用。
▸ 展开 SKILL.md 英文原文
Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, cloud-native workflows (STAC, COG, Planetary Computer), and 8 programming languages (Python, R, Julia, JavaScript, C++, Java, Go, Rust) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.
帮我安装这个 skill：https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/main/skills/geomaster/SKILL.mdcurl -fsSL "https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/main/skills/geomaster/SKILL.md"# GeoMaster Comprehensive geospatial science skill covering GIS, remote sensing, spatial analysis, and ML for Earth observation across 70+ topics with 500+ code examples in 8 programming languages. ## Installation ```bash # Core Python stack (conda recommended) conda install -c conda-forge gdal rasterio fiona shapely pyproj geopandas # Remote sensing & ML uv pip install rsgislib torchgeo earthengine-api uv pip install scikit-learn xgboost torch-geometric # Network & visualization uv pip install osmnx networkx folium keplergl uv pip install cartopy contextily mapclassify # Big data & cloud uv pip install xarray rioxarray dask-geopandas uv pip install pystac-client planetary-computer #