Integrations
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.
Monitor wetland extent, inundation frequency, and land cover transitions to identify degradation, recovery, and human encroachment. Use when the user wants to track wetland changes over time, assess wetland health, or detect conversion of wetlands to other land covers.
Topology-aware cadastral parcel change detection between two epochs. Identifies new, deleted, expanded, reduced, split, and merged parcels from cadastral vector data (宗地/地块/调查图斑). Use when comparing two epochs of land parcels, auditing boundary changes, or generating cadastral change ledgers.
Detect and quantify urban expansion from multi-temporal built-up rasters. Use when the user wants to analyze changes, compare multi-temporal rasters, compute indices, or generate assessment reports.
Analyze land subsidence from InSAR displacement data. Use when the user wants to analyze changes, detect hazards, or generate assessment reports.
Extract flood extent from SAR backscatter imagery. Use when the user wants to analyze changes, detect hazards, or generate assessment reports.