集成
Multi-temporal shoreline change rate analysis. Generates transects, computes Endpoint Rate (EPR) and Linear Regression Rate (LRR), and identifies erosion hotspots. Use when monitoring coastline retreat/accretion or identifying erosion-prone segments.
Multi-temporal shoreline change rate analysis. Generates transects, computes Endpoint Rate (EPR) and Linear Regression Rate (LRR), and identifies erosion hotspots. Use when monitoring coastline retreat/accretion or identifying erosion-prone segments.
Multi-temporal shoreline change analysis with transect-based rate computation.
Use when the user wants to:
# Vector shorelines
python scripts/coastline_change_monitor.py \
--shoreline-files shore_2015.geojson shore_018.geojson shore_2021.geojson \
--years 2015 2018 2021
# Raster water masks
python scripts/coastline_change_monitor.py \
--shoreline-files water_2015.tif water_2018.tif water_2021.tif \
--years 2015 2018 2021 \
--transect-spacing 50 --transect-length 300
| Parameter | Default | Description |
|---|---|---|
--shoreline-files | required | Shoreline files (one per year) |
--years | auto | Years for each file |
--transect-spacing | 100 | Spacing between transects |
--transect-length | 500 | Length of each transect |
--erosion-threshold | -1.0 | EPR threshold for hotspots (m/yr) |
--output-dir | ./coastline-output | Output directory |
| File | Description |
|---|---|
shorelines.geojson | All shorelines with year attribute |
transects.geojson | Generated transect lines |
change_rates.csv | EPR/LRR per transect |
erosion_hotspots.geojson | Significant erosion segments |
report.html | HTML summary report |
output-manifest.json | Machine-readable manifest |
| Code | Meaning |
|---|---|
| 0 | Success |
| 2 | Argument error |
| 3 | Dependency missing |
| 6 | Data validation failure |
| 7 | Processing failure |
本 skill 可自动从 Microsoft Planetary Computer 下载数据 (无需 API key):
python coastline_change_monitor.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 --image) 时，skill 自动下载数据。
当用户给 --image 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.
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