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从2001年到2023年在中亚地区植被现象学的卫星数据集

¹Department of Geographic Science, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai 519087, China.

|July 4, 2024

概括

一个新的陆地表面现象学 (LSP) 数据集用于中亚干旱地区,来自MODIS数据,增强了对植被动态的理解. 这一数据集有助于研究生态系统对气候变化和人类活动的反应.

科学领域:

生态生态学生态生态学
遥感遥感遥感遥感
环境科学环境科学

背景情况:

来自卫星的陆地表面现象学 (LSP) 数据对于理解大规模的陆地生态系统动态至关重要.
在描述中亚干旱地区的LSP变异方面仍然存在重大不确定性.
准确的LSP数据对于监测生态系统健康和对环境变化的反应至关重要.

研究的目的:

引入一个专门针对中亚的新型LSP数据集,涵盖从45-100°E和33-57°N的区域.
提供一个全面的数据集,用于调查干地生态系统的动态,以应对气候变化和人类活动.
提高对研究不足的中亚干地环境中的现象学模式的理解.

主要方法:

该数据集使用中等分辨率成像光谱辐射仪 (MODIS) 0.05度的每日反射率和土地覆盖数据生成.
处理了植物近红外反射率 (NIRv) 时间序列,涉及质量控制,中位过和静止波段转换 (SWT) 使用Biorthogonal 1.1波段的光滑.
检索了七个LSP指标,分类为现象事件时间,事件检测的基本NIRv值和与植被生长状态相关的NIRv值.

主要成果:

一个新的中亚干旱地区LSP数据集已经成功生成.
该数据集包括七个不同的LSP指标,涵盖现象事件时间,检测NIRv值和植被生长状态.
处理方法有效地平滑了NIRv时间序列,降低了噪音并提高了检索的现象学指标的可靠性.

结论:

开发的LSP数据集为中亚干旱地区的现象学动态提供了宝贵的见解.
该资源有助于研究旱地生态系统如何应对气候变化和人为压力.
该数据集有助于更好地了解一个关键的干旱和半干旱地区的植被季节性和生长.

关键词:

气候变化气候变化气候变化干旱地区是干旱地区.生态系统动态生态系统动态陆地表面的现象学莫迪斯 (MODIS) 是一种模式.植物的近红外反射率.遥感是一种远程传感.

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