在煤基上自动生成一致的年度最大NDVI,采用新的算法
Jun Li1,2, Tingting Qin1, Chengye Zhang3,4
1College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, Beijing, China.
Scientific data
|June 26, 2024
概括
一个新的算法,Auto-NDVIcb,准确地为中国的煤矿地区生成每年最大的NDVI. 这种公开可用的数据集监测植被变化,并有助于制定保护政策.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 地理空间分析是什么
背景情况:
- 煤炭开采影响全球能源安全,需要平衡资源开采与植被保护.
- 现有的年度最大NDVI数据存在局限性,包括低值,时间不一致性和马赛克线器件.
- 监测煤炭开采区的植被变化对于环境管理至关重要.
研究的目的:
- 开发一种自动化算法 (Auto-NDVIcb),用于为中国的煤炭基地生成准确的年度最大NDVI数据.
- 发布公开可访问的2013年至2022年中国煤炭基地年度最大NDVI数据集.
- 为持续监测煤炭开采影响的植被动态提供一个工具.
主要方法:
- 在谷歌地球引擎平台内开发了Auto-NDVIcb算法.
- 在14个煤基中使用根平均平方误差 (RMSE) 验证了算法的准确性.
- 创建并发布了14个中国煤炭基地 (2013-2022) 的年度最大NDVI数据集.
主要成果:
- 自动NDVIcb算法实现了0.087的平均RMSE,证明了高精度.
- 已经创建并发布了针对中国煤炭基地 (2013-2022) 的综合性年度最大NDVI数据集.
- 数据集旨在快速,自动在线更新,确保当前的监控能力.
结论:
- 自动NDVIcb算法提供了一种可靠的方法来评估煤矿地区的植被状况.
- 公开发布的数据集支持持续监测植被变化和退化机制.
- 这些数据对于在中国的煤矿区制定有效的植被保护政策至关重要.
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