geoskill-volcanic-hazard-assessment

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

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

bash

pip install numpy rasterio scipy

Usage / 使用方法

Basic Usage (Synthetic Data, Offline)

bash

python geoskill-volcanic-hazard-assessment.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out

More Examples

bash

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; --synthetic mode 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

bash

pip install numpy rasterio scipy

使用方法

基本用法（合成数据，离线）

bash

python geoskill-volcanic-hazard-assessment.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out

更多示例

bash

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