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.
Coding
geoskill-crop-stress-detection
Try it融合 CWSI 水分胁迫、红边叶绿素与 SAR 含水量,检测作物胁迫等级。Detects crop stress by fusing CWSI water stress, red-edge chlorophyll and SAR water content.
What it does
融合 CWSI 水分胁迫、红边叶绿素与 SAR 含水量,检测作物胁迫等级。Detects crop stress by fusing CWSI water stress, red-edge chlorophyll and SAR water content.
The skill document
作物胁迫检测 | Crop Stress Detection
(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-stress-detection.py --bbox 116.0 39.0 117.0 40.0 [other options]
Example 1 (synthetic data, offline)
python geoskill-crop-stress-detection.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
| File | Format | Description |
|---|---|---|
result.tif | GeoTIFF | Main output |
output-manifest.json | JSON | Run 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;
--syntheticmode requires no network at all. - All processing is performed locally; user data is never uploaded.
License / License
MIT
name: geoskill-crop-stress-detection description: '融合 CWSI 水分胁迫、红边叶绿素与 SAR 含水量,检测作物胁迫等级。Detects crop stress by fusing CWSI water stress, red-edge chlorophyll and SAR water content.'
作物胁迫检测 | Crop Stress Detection
(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-stress-detection.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-stress-detection.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.tif | GeoTIFF | 主产物 |
output-manifest.json | JSON | 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
Related skills
基于红边异常、热红外温度、纹理变化与多时相早期胁迫检测,识别疑似病虫害区域。Detects suspected pest/disease areas from red-edge anomaly, thermal, texture and multi-temporal early stress.
用热惯量法与 SAR Dubois 模型估算表层土壤湿度并划分干旱等级。Estimates surface soil moisture via thermal inertia and the SAR Dubois model, with drought grading.
冠层峰值检测加分水岭分割统计株数,结合经验模型估算产量。Counts plants via canopy peak detection plus watershed segmentation and estimates yield with an empirical model.
基于多时相 SAR 后向散射时序的农作物分类:逐像元时序/统计/物候特征 + 随机森林。SAR crop classification from multi-temporal backscatter time series using per-pixel phenological features and Random Forest. 合成模式生成水稻/小麦/玉米三类时序真值并评估精度,输出分类 GeoTIFF + 面积统计 + 混淆矩阵 JSON。
高分辨率作物识别叠加申报地块做差异检测,核查补贴合规性。Verifies subsidy compliance by overlaying high-resolution crop classification on declared parcels for difference detection.