编程
Automated watershed delineation from DEM. Computes D8 flow direction, flow accumulation, delineates watersheds from outlet points, extracts stream networks, and generates statistics. Use when the user wants to delineate a watershed, compute flow accumulation, extract streams, or analyze hydrological characteristics from a DEM.
Automated watershed delineation from DEM. Computes D8 flow direction, flow accumulation, delineates watersheds from outlet points, extracts stream networks, and generates statistics. Use when the user wants to delineate a watershed, compute flow accumulation, extract streams, or analyze hydrological characteristics from a DEM.
Automated watershed analysis from DEM using D8 algorithm.
python scripts/watershed_delineation.py --dem dem.tif
python scripts/watershed_delineation.py --dem dem.tif --outlet-row 50 --outlet-col 60
python scripts/watershed_delineation.py --dem dem.tif --stream-threshold 50
python scripts/watershed_delineation.py --synthetic --output-dir ./out
本 skill 可自动从 Microsoft Planetary Computer 下载 DEM (无需 API key):
# 自动下载 Copernicus DEM GLO-30
python scripts/watershed_delineation.py \
--bbox 116.30,39.85,116.45,39.95 \
--date-range 2020-01-01,2020-12-31 \
--output-dir ./ws-auto
下载的内容:
cop-dem-glo-30) — 替换 --dem下载元数据（data_source, fetched_at, collection, dem_downloaded）会写入 output-manifest.json。
| Flag | Type | Default | Description |
|---|---|---|---|
--dem | path | (required, or use --synthetic) | Input DEM raster (GeoTIFF) |
--outlet-row | int | None | Outlet row in DEM grid (default: max accumulation) |
--outlet-col | int | None | Outlet column in DEM grid (default: max accumulation) |
--stream-threshold | int | 100 | Stream threshold in accumulation pixels |
--output-dir / -o | path | watershed-output | Output directory |
--synthetic | flag | False | Run with synthetic demo data (no real inputs needed) |
--version | flag | - | Show version and exit |
| File | Description |
|---|---|
flow_direction.tif | D8 flow direction raster |
flow_accumulation.tif | Flow accumulation raster |
watershed.tif | Watershed mask |
streams.tif | Stream network |
report.html | Statistics report |
output-manifest.json | Machine-readable manifest |
| Code | Meaning |
|---|---|
| 0 | Success |
| 2 | Argument error |
| 3 | Dependency missing |
| 7 | Processing failure |
本 skill 可自动从 Microsoft Planetary Computer 下载数据 (无需 API key):
python watershed_delineation.py --bbox 116,39,117,40 --date-range 2024-06-01,2024-06-30 --output-dir
--bbox W,S,E,N: WGS-84 边界框 (西, 南, 东, 北)--date-range START,END: 日期范围 (YYYY-MM-DD,YYYY-MM-DD)--aoi-file : 替代 --bbox 的 GeoJSON 多边形--cache-dir : 缓存目录 (默认 ~/.geoskill_cache)当用户只给 --bbox + --date-range (没有 --dem) 时，skill 自动下载数据。
当用户给 --dem 时，走原文件路径 (向后兼容)。
Extract shorelines, centerlines and channel widths from multi-temporal water body masks. Quantify shoreline migration, channel migration, change hotspots and migration zones. Use when analyzing river channel changes, identifying erosion/deposition areas, or generating river morphology reports.
基于 DEM 的 Bathtub 静态洪水淹没模拟，支持水文连通性约束（flood-fill）。Static bathtub flood inundation modeling from DEM with optional hydrological connectivity constraint. 输出淹没范围/水深 GeoTIFF + 面积体积统计 JSON。
Multi-source DEM downloads / 多源 DEM 下载
Identify potential debris-flow gullies, integrate terrain, material source, rainfall trigger, and downstream exposure to produce basin-level hazard screening and risk assessment.
Overlay flood extent with population, buildings, roads, and cropland to estimate affected objects and generate impact reports. Use when the user wants to assess flood impact, count affected population/roads/buildings, or generate flood impact summaries from a flood extent raster.
Establish level-area-storage relationships from multi-period water surface, DEM, and water level data. Monitor reservoir capacity change and sedimentation trends. Use when analyzing reservoir storage changes, estimating current capacity, or detecting sedimentation from area-level curve shifts.