geoskill-drought-vulnerability-index

暴露敏感性与适应能力三分量归一化干旱脆弱性评估

干旱脆弱性指数 | Drought Vulnerability Index

Fuses three components based on the IPCC vulnerability framework: exposure (meteorological drought), sensitivity (crops/population), and adaptive capacity (irrigation/economy). Vulnerability V = (w_E·E' + w_S·S' + w_A·(1-A'))/Σw, with each component normalized to [0,1]. V increases monotonically with exposure/sensitivity and decreases monotonically with adaptive capacity; E=S=0, A=1 → V=0, and E=S=1, A=0 → V=1.

Dependencies / 依赖

bash

pip install numpy rasterio scipy

Usage / 使用方法

Basic usage (synthetic data, offline)

bash

python geoskill-drought-vulnerability-index.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out

More examples

bash

python geoskill-drought-vulnerability-index.py --bbox 110 35 111 36 --synthetic --output-dir ./out
python geoskill-drought-vulnerability-index.py --input region.tif --output-dir ./out
python geoskill-drought-vulnerability-index.py --bbox 110 35 111 36 --synthetic --quiet --output-dir ./out
python geoskill-drought-vulnerability-index.py --bbox 113 40 114 41 --synthetic --output-dir ./out

Output / 输出

File	Format	Description
vulnerability.tif	GeoTIFF	Drought vulnerability index [0,1]
vulnerability_level.tif	GeoTIFF	Vulnerability grade (0 low – 3 severe)
drought_params.json	JSON	Method description

Each run also produces output-manifest.json (run manifest, including input/output/QA summary).

Data Source / 数据源 / Source

Real mode reads a multi-band GeoTIFF (band1=exposure, band2=sensitivity, band3=adaptive capacity); synthetic mode generates a scenario 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-drought-vulnerability-index description: '暴露敏感性与适应能力三分量归一化干旱脆弱性评估'

干旱脆弱性指数 | Drought Vulnerability Index

基于 IPCC 脆弱性框架融合三分量：暴露度（气象干旱）、敏感性（作物/人口）、适应能力（灌溉/经济）。脆弱性 V = (w_E·E' + w_S·S' + w_A·(1-A'))/Σw，各分量归一化到 [0,1]。V 对暴露度/敏感性单调递增、对适应能力单调递减；E=S=0,A=1 → V=0，E=S=1,A=0 → V=1。

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-drought-vulnerability-index.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out

更多示例

bash

python geoskill-drought-vulnerability-index.py --bbox 110 35 111 36 --synthetic --output-dir ./out
python geoskill-drought-vulnerability-index.py --input region.tif --output-dir ./out
python geoskill-drought-vulnerability-index.py --bbox 110 35 111 36 --synthetic --quiet --output-dir ./out
python geoskill-drought-vulnerability-index.py --bbox 113 40 114 41 --synthetic --output-dir ./out

输出

文件	格式	说明
vulnerability.tif	GeoTIFF	干旱脆弱性指数 [0,1]
vulnerability_level.tif	GeoTIFF	脆弱性分级（0低-3严重）
drought_params.json	JSON	方法说明

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=暴露度、band2=敏感性、band3=适应能力）；合成模式离线生成场景。

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