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.
1 次安装
设计与多媒体
Geoskill: Construction Progress Monitor
试用Monitor construction progress from multi-temporal satellite imagery. Classifies project stages (clearing, earthwork, foundation, structure, finishing, completed) using spectral indices and detects stagnation. Use when tracking infrastructure projects, auditing construction timelines, or generating progress reports from remote sensing data.
它能做什么
Monitor construction progress from multi-temporal satellite imagery. Classifies project stages (clearing, earthwork, foundation, structure, finishing, completed) using spectral indices and detects stagnation. Use when tracking infrastructure projects, auditing construction timelines, or generating progress reports from remote sensing data.
技能文档
Construction Progress Monitor
Monitors construction site evolution from multi-temporal imagery using spectral indices and a state machine to classify project stages.
Trigger
Use when the user wants to:
- Track construction progress from satellite imagery
- Classify project stages (clearing → earthwork → foundation → structure → finishing → completed)
- Detect stagnant projects (no change for N periods)
- Generate progress reports for infrastructure projects
- Audit construction timelines against planned schedules
CLI Usage
# Basic monitoring with project boundaries and schedule
python scripts/construction_progress_monitor.py \
--projects projects.geojson \
--schedule schedule.csv \
--monitor-period 2024-01,2024-04,2024-07,2024-10
# With custom stage schema and stagnation threshold
python scripts/construction_progress_monitor.py \
--projects projects.geojson \
--schedule schedule.csv \
--monitor-period 2024-01,2024-04,2024-07,2024-10 \
--stage-schema stages.json \
--stagnation-periods 2 \
--imagery-source sentinel2
# Specify output directory
python scripts/construction_progress_monitor.py \
--projects projects.geojson \
--schedule schedule.csv \
--monitor-period 2024-01,2024-04 \
--output-dir ./cpm-output
Parameters
| Parameter | Default | Description |
|---|---|---|
--projects | required | Project boundaries with IDs (GeoJSON) |
--schedule | required | Planned schedule CSV (project_id, node, date) |
--monitor-period | required | Comma-separated monitoring dates (YYYY-MM) |
--stage-schema | built-in | Custom stage definition JSON |
--imagery-source | sentinel2 | Imagery source identifier |
--stagnation-periods | 2 | Periods of no change to flag stagnation |
--output-dir | ./cpm-output | Output directory |
Output
| File | Description |
|---|---|
project_status.geojson | Per-project current stage and metrics |
progress_timeseries.csv | Stage timeline per project |
stage_map.tif | Raster stage classification map |
exceptions.xlsx | Stagnation and anomaly report |
Construction Stages
| Stage | Code | Key Indicators |
|---|---|---|
| clearing | 0 | High bare soil, low NDVI, low NDBI |
| earthwork | 1 | Dominant bare soil, minimal vegetation |
| foundation | 2 | Mixed bare soil and built material |
| structure | 3 | High NDBI, low NDVI, built materials |
| finishing | 4 | Moderate NDBI, increasing NDVI |
| completed | 5 | Low NDBI, high NDVI, stable |
Exit Codes
| Code | Meaning |
|---|---|
| 0 | Success |
| 2 | Argument error |
| 3 | Dependency missing |
| 6 | Data validation failure |
| 7 | Processing failure |
数据下载
本 skill 可自动从 Microsoft Planetary Computer 下载数据 (无需 API key):
python construction_progress_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)。
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