Geoskill: RS Index Calc
Calculate 10 spectral indices from GeoTIFF imagery using pure Python without external dependencies, supporting batch, custom formulas, and auto band detection.
ruiduobao
@ruiduobao
Install
$ openclaw skills install @ruiduobao/geoskill-rs-index-calcRemote Sensing Index Calculator
Calculate spectral indices from GeoTIFF imagery using pure Python. No external dependencies required.
Features
- 10 Supported Indices: NDVI, NDBI, NDWI, EVI, SAVI, MNDWI, AWEI, NBR, BSI, UI
- Pure Python: No rasterio, GDAL, numpy, or scipy required
- Auto Band Detection: Automatically detects band mapping from GeoTIFF metadata
- Custom Formulas: Support for arbitrary band math expressions
- Batch Mode: Calculate all indices at once
- Statistics: Automatic min/max/mean/std computation
Installation
pip install -r requirements.txt
# No external dependencies - uses only Python standard library
Usage
Single Index
python rs-index-calc.py input.tif NDVI
python rs-index-calc.py input.tif NDVI --output ndvi_result.tif
All Indices (Batch Mode)
python rs-index-calc.py input.tif --batch
Custom Formula
python rs-index-calc.py input.tif custom --formula "(B4-B3)/(B4+B3)"
Manual Band Order
python rs-index-calc.py input.tif NDVI --bands red nir green blue swir1 swir2
Supported Indices
| Index | Formula | Bands |
|---|---|---|
| NDVI | (NIR - Red) / (NIR + Red) | NIR, Red |
| NDBI | (SWIR - NIR) / (SWIR + NIR) | SWIR, NIR |
| NDWI | (Green - NIR) / (Green + NIR) | Green, NIR |
| EVI | 2.5 * (NIR - Red) / (NIR + 6Red - 7.5Blue + 1) | NIR, Red, Blue |
| SAVI | (NIR - Red) / (NIR + Red + 0.5) * 1.5 | NIR, Red |
| MNDWI | (Green - SWIR) / (Green + SWIR) | Green, SWIR |
| AWEI | 4*(Green-SWIR) - (0.25NIR + 2.75SWIR) | Green, SWIR, NIR |
| NBR | (NIR - SWIR2) / (NIR + SWIR2) | NIR, SWIR2 |
| BSI | ((SWIR+Red)-(NIR+Blue)) / ((SWIR+Red)+(NIR+Blue)) | SWIR, Red, NIR, Blue |
| UI | (SWIR2 - NIR) / (SWIR2 + NIR) | SWIR2, NIR |
Output
- Single-band GeoTIFF with calculated index values
- Statistics printed to stdout (min, max, mean, std, pixel count)
Testing
pytest
License
MIT-0 (No Attribution)
中文说明
从 GeoTIFF 影像计算光谱指数，纯 Python 实现，无需任何外部依赖。
支持的指数（10 种）
| 指数 | 公式 | 波段 |
|---|---|---|
| NDVI | (NIR - Red) / (NIR + Red) | NIR, Red |
| NDBI | (SWIR - NIR) / (SWIR + NIR) | SWIR, NIR |
| NDWI | (Green - NIR) / (Green + NIR) | Green, NIR |
| EVI | 2.5 * (NIR - Red) / (NIR + 6Red - 7.5Blue + 1) | NIR, Red, Blue |
| SAVI | (NIR - Red) / (NIR + Red + 0.5) * 1.5 | NIR, Red |
| MNDWI | (Green - SWIR) / (Green + SWIR) | Green, SWIR |
| AWEI | 4*(Green-SWIR) - (0.25NIR + 2.75SWIR) | Green, SWIR, NIR |
| NBR | (NIR - SWIR2) / (NIR + SWIR2) | NIR, SWIR2 |
| BSI | ((SWIR+Red)-(NIR+Blue)) / ((SWIR+Red)+(NIR+Blue)) | SWIR, Red, NIR, Blue |
| UI | (SWIR2 - NIR) / (SWIR2 + NIR) | SWIR2, NIR |
使用方法
# 计算单个指数
python rs-index-calc.py input.tif NDVI
python rs-index-calc.py input.tif NDVI --output ndvi_result.tif
# 批量计算所有指数
python rs-index-calc.py input.tif --batch
# 自定义公式
python rs-index-calc.py input.tif custom --formula "(B4-B3)/(B4+B3)"
# 手动指定波段顺序
python rs-index-calc.py input.tif NDVI --bands red nir green blue swir1 swir2
输出
- 单波段 GeoTIFF，值为指数计算结果
- 自动输出统计信息（最小值、最大值、均值、标准差、像元数）
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