火山灾害评估 | Volcanic Hazard Assessment
Fuses multi-source observations to assess volcanic activity levels: thermal infrared brightness temperature anomalies (magma/hydrothermal), InSAR deformation rates (magma supply), SO₂ column concentrations (degassing intensity), and recency of past eruptions (exp(-years/tau)). Four [0,1] components are weighted-summed into an activity score, which is then discretized into 5 levels: normal/advisory/watch/warning/extreme. The score is monotonically non-decreasing with respect to each component.
Dependencies / 依赖
pip install numpy rasterio scipy
Usage / 使用方法
Basic Usage (Synthetic Data, Offline)
python geoskill-volcanic-hazard-assessment.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out
More Examples
python geoskill-volcanic-hazard-assessment.py --bbox 120 30 121 31 --synthetic --output-dir ./out
python geoskill-volcanic-hazard-assessment.py --input volcano.tif --years-since 12 --output-dir ./out
python geoskill-volcanic-hazard-assessment.py --bbox 120 30 121 31 --baseline 285 --years-since 3 --synthetic --output-dir ./out
python geoskill-volcanic-hazard-assessment.py --bbox 121 31 122 32 --synthetic --quiet --output-dir ./out
Output / 输出
| File | Format | Description |
|---|---|---|
activity_score.tif |
GeoTIFF | Volcanic activity score [0,1] |
activity_level.tif |
GeoTIFF | Activity level (integer 0-4) |
volcano_params.json |
JSON | Baseline brightness temperature / recency / level labels |
Each run also produces output-manifest.json (run manifest, including inputs/outputs/QA summary).
Data Source / 数据源 / Source
Real mode reads a multi-band GeoTIFF (band1=brightness temperature K, band2=deformation mm/yr, band3=SO₂ DU); synthetic mode generates volcanic scenarios offline.
Privacy / 隐私声明 / Privacy
- Runs offline by default;
--syntheticmode requires no network at all. - All processing is done locally; no user data is uploaded.
License / License
MIT
name: geoskill-volcanic-hazard-assessment description: '融合热红外异常、InSAR形变与SO2柱浓度的火山活动等级评估'
火山灾害评估 | Volcanic Hazard Assessment
融合多源观测评估火山活动等级：热红外亮温正异常（岩浆/热液）、InSAR 形变速率（岩浆补给）、SO₂ 柱浓度（脱气强度）与历史喷发新近度（exp(-years/tau)）。四个 [0,1] 分量加权求和得活动度评分，再切分为 normal/advisory/watch/warning/extreme 5 级。评分对每个分量单调不减。
依赖
pip install numpy rasterio scipy
使用方法
基本用法（合成数据，离线）
python geoskill-volcanic-hazard-assessment.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out
更多示例
python geoskill-volcanic-hazard-assessment.py --bbox 120 30 121 31 --synthetic --output-dir ./out
python geoskill-volcanic-hazard-assessment.py --input volcano.tif --years-since 12 --output-dir ./out
python geoskill-volcanic-hazard-assessment.py --bbox 120 30 121 31 --baseline 285 --years-since 3 --synthetic --output-dir ./out
python geoskill-volcanic-hazard-assessment.py --bbox 121 31 122 32 --synthetic --quiet --output-dir ./out
输出
| 文件 | 格式 | 说明 |
|---|---|---|
activity_score.tif |
GeoTIFF | 火山活动度评分 [0,1] |
activity_level.tif |
GeoTIFF | 活动等级（整型 0-4） |
volcano_params.json |
JSON | 基线亮温/新近度/分级标签 |
每次运行还会产出 output-manifest.json（运行清单，含输入/产物/QA 摘要）。
数据源 / Source
真实模式读取多波段 GeoTIFF（band1=亮温K、band2=形变mm/yr、band3=SO₂ DU）；合成模式离线生成火山场景。
隐私声明 / Privacy
- 默认离线运行，
--synthetic模式完全无网络。 - 所有处理在本地完成，不上传任何用户数据。
License
MIT