当前位置: X-MOL 学术Remote Sens. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
About Validation-Comparison of Burned Area Products
Remote Sensing ( IF 5 ) Pub Date : 2020-12-04 , DOI: 10.3390/rs12233972
Germán M. Valencia , Jesús A. Anaya , Éver A. Velásquez , Rubén Ramo , Francisco J. Caro-Lopera

This paper proposes a validation-comparison method for burned area (BA) products. The technique considers: (1) bootstrapping of scenes for validation-comparison and (2) permutation tests for validation. The research focuses on the tropical regions of Northern Hemisphere South America and Northern Hemisphere Africa and studies the accuracy of the BA products: MCD45, MCD64C5.1, MCD64C6, Fire CCI C4.1, and Fire CCI C5.0. The first and second parts consider methods based on random matrix theory for zone differentiation and multiple ancillary variables such as BA, the number of burned fragments, ecosystem type, land cover, and burned biomass. The first method studies the zone effect using bootstrapping of Riemannian, full Procrustes, and partial Procrustes distances. The second method explores the validation by using distance permutation tests under uncertainty. The results refer to Fire CCI 5.0 with the best BA description, followed by MCD64C6, MCD64C5.1, MCD45, and Fire CCI 4.1. It was also found that biomass, total BA, and the number of fragments affect the BA product accuracy.

中文翻译:

关于燃烧区域产品的验证比较

本文提出了一种燃烧面积(BA)产品的验证比较方法。该技术考虑:(1)自举场景以进行验证比较,以及(2)排列测试以进行验证。该研究集中在南美北半球和非洲北半球的热带地区,并研究了BA产品的准确性:MCD45,MCD64C5.1,MCD64C6,Fire CCI C4.1和Fire CCI C5.0。第一部分和第二部分考虑了基于随机矩阵理论的区域区分和多个辅助变量(例如BA,燃烧片段的数量,生态系统类型,土地覆盖和燃烧生物量)的方法。第一种方法是通过使用黎曼,自足全程和局部Procrustes距离进行自举研究区域效应。第二种方法通过在不确定性下使用距离置换检验来探索验证方法。结果参考具有最佳BA描述的Fire CCI 5.0,其次是MCD64C6,MCD64C5.1,MCD45和Fire CCI 4.1。还发现生物量,总BA和碎片数会影响BA产品的准确性。
更新日期:2020-12-04
down
wechat
bug