干旱区生态环境知识资源中心(Arid): A New Multiangle Method for Estimating Fractional Biocrust Coverage From Sentinel-2 Data in Arid Areas

Arid

DOI	10.1109/TGRS.2024.3361249
	A New Multiangle Method for Estimating Fractional Biocrust Coverage From Sentinel-2 Data in Arid Areas
	Sun, Hui; Ma, Xu; Liu, Ying; Zhou, Guiyun; Ding, Jianli; Lu, Lei; Wang, Tiejun; Yang, Qiuli; Shu, Qingtai; Zhang, Fei
通讯作者	Ma, X
来源期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN	0196-2892
EISSN	1558-0644
出版年	2024
卷号	62
英文摘要	The spatiotemporal distribution of biocrusts can be used to monitor regional water resources in desert ecosystems. However, a lack of biocrust products from remotely sensed images with fine spatial resolution (FSR) limits scientific research in this area. To address this issue, we establish an estimation model for biocrusts (EMBC) with three steps for FSR images. Then, the large-scale fractional biocrust coverage (FBC) in deserts was mapped from Sentinel-2 images with a spatial resolution of 10 m. First, we develop a fraction biocrust cover index (FBCI) based on radiative transfer theory. Next, a multiangle calculation equation involving FBCI is established and the parameters for a pixel dichotomy model are solved by an inverse method using a linear kernel-driven model. Finally, this pixel dichotomy model with FBCI is used to calculate FBC. We validate the model using field measurements and compare the validation results with those estimated by a random forest model and a backpropagation neural network model. This comparison demonstrates that the value of FBC estimated by EMBC is highly consistent with field measurements (root-mean-square error (RMSE) = 0.0774 and systematic deviation = -4.05%). Furthermore, the values of FBC estimated by EMBC and the two other models have a high level of consistency in terms of spatial distribution (RMSE < 0.0998). We conclude that our EMBC can accurately estimate FBC in a desert, which is an important technique for monitoring drought in an arid environment.
英文关键词	Fractional biocrust cover index linear kernel-driven model multiangle radiative transfer
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001178186400025
WOS关键词	BIOLOGICAL SOIL CRUSTS ; VEGETATION COVER ; SPATIAL-DISTRIBUTION ; REFLECTANCE ; INDEX ; DERIVATION ; DESERT ; PRECIPITATION ; CYANOBACTERIA ; SATELLITE
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404147
推荐引用方式 GB/T 7714	Sun, Hui,Ma, Xu,Liu, Ying,et al. A New Multiangle Method for Estimating Fractional Biocrust Coverage From Sentinel-2 Data in Arid Areas[J],2024,62.
APA	Sun, Hui.,Ma, Xu.,Liu, Ying.,Zhou, Guiyun.,Ding, Jianli.,...&Zhang, Fei.(2024).A New Multiangle Method for Estimating Fractional Biocrust Coverage From Sentinel-2 Data in Arid Areas.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,62.
MLA	Sun, Hui,et al."A New Multiangle Method for Estimating Fractional Biocrust Coverage From Sentinel-2 Data in Arid Areas".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 62(2024).