干旱区生态环境知识资源中心(Arid): Indices enhance biological soil crust mapping in sandy and desert lands

Arid

DOI	10.1016/j.rse.2022.113078
	Indices enhance biological soil crust mapping in sandy and desert lands
	Wang, Zhengdong; Wu, Bingfang; Zhang, Miao; Zeng, Hongwei; Yang, Leidong; Tian, Fuyou; Ma, Zonghan; Wu, Hantian
通讯作者	Wu, BF
来源期刊	REMOTE SENSING OF ENVIRONMENT
ISSN	0034-4257
EISSN	1879-0704
出版年	2022
卷号	278
英文摘要	Biological soil crusts (BSCs) covering drylands worldwide are an important functional vegetation unit and play an important role in the carbon and nitrogen cycling of dryland ecosystems. However, there is a lack of accurate data on the spatial distribution and change of BSCs. Here, two indices were developed to enhance BSC mapping, including the sandy land ratio crust index (SRCI) for sandy land with moss-dominated BSCs and the desert ratio crust index (DRCI) for desert with lichen-dominated BSCs. The SRCI combines the near infrared band in which moss-dominated BSCs and other surface components have significant spectral differences, and red edge bands in which such differences can be enhanced. Another index, the DRCI, highlights different spectral characteristics of lichen-dominated BSCs, gravel and sand in the shortwave infrared and red-edge bands. A random forest (RF) machine learning framework was developed to map the large-scale BSC distribution with 10 m resolution using Sentinel 2 satellite data. The results show that the BSC area in the Mu Us Sandy Land and Gurbantunggut Desert of China covers 10,647 km2 and 14,036 km2, accounting for 5.7% and 29.4% of the total area, respectively, indicating that BSC is one of the dominant land cover types in the Gurbantunggut Desert. Validations and comparisons demonstrate that the overall accuracy of BSC detection is 90% and 94% with kappa coefficients of 0.80 and 0.86 in sandy land and desert, respectively, and the proposed SRCI and DRCI increase the overall mapping accuracy by 6% for sandy land and desert compared to the non-index scheme. Therefore, indices can enhance the BSC mapping accuracy for sandy land and desert. Moreover, this work provides basic data for exploring the ecological effects of BSCs in arid areas.
英文关键词	Biological soil crusts Sentinel 2 Sandy land ratio crust index Desert ratio crust index Ecological effects
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000802224300001
WOS关键词	SPATIAL-DISTRIBUTION ; LOESS PLATEAU ; SENTINEL-2 ; SCALE ; CLASSIFICATION ; COMMUNITIES ; SURFACE ; MAP
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; 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/2XILL650/394261
推荐引用方式 GB/T 7714	Wang, Zhengdong,Wu, Bingfang,Zhang, Miao,et al. Indices enhance biological soil crust mapping in sandy and desert lands[J],2022,278.
APA	Wang, Zhengdong.,Wu, Bingfang.,Zhang, Miao.,Zeng, Hongwei.,Yang, Leidong.,...&Wu, Hantian.(2022).Indices enhance biological soil crust mapping in sandy and desert lands.REMOTE SENSING OF ENVIRONMENT,278.
MLA	Wang, Zhengdong,et al."Indices enhance biological soil crust mapping in sandy and desert lands".REMOTE SENSING OF ENVIRONMENT 278(2022).