Coding

geoskill-crop-health-diagnosis

Try it

融合 NDVI/NDRE/LST 多指数健康评分、历史偏差异常检测与空间聚类，输出作物健康等级栅格。Fuses NDVI/NDRE/LST into a health score with historical anomaly detection and spatial clustering.

What it does

融合 NDVI/NDRE/LST 多指数健康评分、历史偏差异常检测与空间聚类，输出作物健康等级栅格。Fuses NDVI/NDRE/LST into a health score with historical anomaly detection and spatial clustering.

The skill document

作物健康诊断 | Crop Health Diagnosis

(Fill in 2-3 paragraphs of Chinese introduction here: functionality, application scenarios, core algorithm.)

Dependencies / 依赖

pip install 'numpy' 'rasterio' 'scipy'

Usage / 使用方法

Basic usage

python geoskill-crop-health-diagnosis.py --bbox 116.0 39.0 117.0 40.0 [other options]

Example 1 (synthetic data, offline)

python geoskill-crop-health-diagnosis.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out

Examples 2-5

(Add at least 4 real-world usage examples.)

Output / 输出

FileFormatDescription
result.tifGeoTIFFMain output
output-manifest.jsonJSONRun manifest

Data Source / 数据源 / Source

(Describe the data source: free satellite data / local input / synthetic.)

Privacy / 隐私声明 / Privacy

  • Runs offline by default; --synthetic mode requires no network at all.
  • All processing is performed locally; user data is never uploaded.

License / License

MIT

name: geoskill-crop-health-diagnosis description: '融合 NDVI/NDRE/LST 多指数健康评分、历史偏差异常检测与空间聚类，输出作物健康等级栅格。Fuses NDVI/NDRE/LST into a health score with historical anomaly detection and spatial clustering.'

作物健康诊断 | Crop Health Diagnosis

（在此填写 2-3 段中文介绍：功能、应用场景、核心算法。）

依赖

pip install 'numpy' 'rasterio' 'scipy'

使用方法

基本用法

python geoskill-crop-health-diagnosis.py --bbox 116.0 39.0 117.0 40.0 [其他参数]

示例 1（合成数据，离线）

python geoskill-crop-health-diagnosis.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out

示例 2-5

（补充至少 4 个真实用法示例。）

输出

文件格式说明
result.tifGeoTIFF主产物
output-manifest.jsonJSON运行清单

数据源 / Source

（说明数据来源：免费卫星数据 / 本地输入 / 合成。）

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，不上传用户数据。

License

MIT

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