Coding

geoskill-pasture-quality-assessment

Try it

基于 NDVI 覆盖度、物候生长季与峰值及退化指数评估草地质量。Assesses pasture quality from NDVI cover, phenology (season and peak) and a degradation index.

What it does

基于 NDVI 覆盖度、物候生长季与峰值及退化指数评估草地质量。Assesses pasture quality from NDVI cover, phenology (season and peak) and a degradation index.

The skill document

草地质量评估 | Pasture Quality Assessment

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

Dependencies / 依赖

pip install 'numpy' 'rasterio'

Usage / 使用方法

Basic usage

python geoskill-pasture-quality-assessment.py --bbox 116.0 39.0 117.0 40.0 [other options]

Example 1 (synthetic data, offline)

python geoskill-pasture-quality-assessment.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-pasture-quality-assessment description: '基于 NDVI 覆盖度、物候生长季与峰值及退化指数评估草地质量。Assesses pasture quality from NDVI cover, phenology (season and peak) and a degradation index.'

草地质量评估 | Pasture Quality Assessment

(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'

使用方法

基本用法

python geoskill-pasture-quality-assessment.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-pasture-quality-assessment.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

Related skills

Monitor grassland degradation and recovery trends from multi-temporal vegetation cover, phenology, bare ground and climate baselines. Outputs management zones for restoration prioritization. Use when assessing grassland health, identifying degraded areas, evaluating restoration effectiveness, or generating management recommendations.

1 installs

融合 NDVI 趋势(Sen 斜率/线性回归)、反照率与植被稀缺度,综合评分分级荒漠化(稳定/轻/中/重度),输出等级与趋势栅格、面积统计。Fuses NDVI trend (Sen/linear slope), albedo and vegetation scarcity to grade desertification.

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.

评估多光谱影像辐射质量(SNR/条纹/坏线)与几何质量(云量/清晰度),输出质量评分 JSON + HTML 报告。Assess radiometric (SNR, striping, dead lines) and geometric (cloud, sharpness) quality of multispectral imagery; outputs a scored JSON and HTML report.

1 installs

基于 NDVI 时序积分估算累积生物量,叠加气候校正得到生产力指数。Estimates cumulative biomass from NDVI time-series integration with climate correction to yield a productivity index.

Assess crop health from NDVI time series. Use when the user wants to analyze changes, detect hazards, or generate assessment reports.

1 installs