无Landsat-7和Landsat-8数据复合体覆盖了整个亚马逊地区
Rajit Gupta1, Gabriela Zuquim1, Hanna Tuomisto1,2
1Department of Biology, University of Turku, 20014, Finland.
Data in brief
|November 11, 2024
概括
亚马逊热带雨林的新卫星图像复合物使用2013-2021年的Landsat数据创建. 这些复合材料克服了云层覆盖和双向反射分布函数 (BRDF) 效应,揭示了生态研究的景观特征.
科学领域:
- 生态生态学 生态生态学
- 遥感 遥感 遥感 遥感
- 地理空间分析是什么
背景情况:
- 卫星遥感提高了对亚马逊雨林异质性的理解.
- 持续的云层覆盖和双向反射分布函数 (BRDF) 影响阻碍了亚马逊地区的一致的卫星图像构成.
- 先进的预处理和基于像素的组合对于填补差距和数据一致性至关重要.
研究的目的:
- 为整个亚马逊盆地创建无的Landsat-7和Landsat-8卫星图像复合材料.
- 为了提供一个强大的方法来产生无间隙的卫星图像,尽管云覆盖和BRDF效应.
- 促进亚马逊地区的生态,生物地理和保护研究.
主要方法:
- 利用了2013-2021年的Landsat-7和Landsat-8的数据.
- 使用谷歌地球引擎 (GEE) 进行先进的预处理和基于像素的编译.
- 应用了一种多维中位数 (medoid) 算法,对异常值和噪声具有稳定性,用于组合.
主要成果:
- 产生盆地范围Landsat-7和Landsat-8复合材料,在长时间内汇总反射率值.
- 复合材料是无的,没有空隙的,并且有效地识别永久的景观特征,包括与田间条件相关的植被异质性.
- 在GEE中提供的工作流,可以为其他地区和时间框架进行类似的编译.
结论:
- 开发的Landsat复合材料为亚马逊生态和生物地理研究提供了宝贵的资源.
- 该方法解决了云覆盖和BRDF效应的挑战,为卫星数据处理提供了可扩展的解决方案.
- 这些无复合材料将支持本地和大规模研究,物种分布建模和保护计划.
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