干旱区生态环境知识资源中心(Arid): Extraction of the bare rock rate in counties of typical karst areas based on unmanned aerial vehicle images and satellite data, China

Arid

DOI	10.1002/ldr.4860
	Extraction of the bare rock rate in counties of typical karst areas based on unmanned aerial vehicle images and satellite data, China
	Wang, Dongliang; Sui, Xiangyu
通讯作者	Wang, DL
来源期刊	LAND DEGRADATION & DEVELOPMENT
ISSN	1085-3278
EISSN	1099-145X
出版年	2023
卷号	34 期号:17 页码:5499-5513
英文摘要	Rocky desertification is a land degradation process. The bare rock rate (BRR) is an important index. Satellite-based methods for BRR estimation can generate BRR datasets, but the spatial resolution and accuracy are low. Unmanned aerial vehicle (UAV) data can be used for BRR extraction with much higher resolution and higher accuracy, but the data are laborious and costly to collect. This study proposed a stepwise upscaling method employing the UAV-extracted BRR as the ground truth to establish a multiband regression model and calibrated the BRR derived from 30-m resolution LANDSAT 8 data, which was then used to calibrate 500-m resolution moderate resolution imaging spectroradiometer (MODIS) data. We compared the results with the satellite-based BRR and the results of UAV-MODIS upscaling methods. The results showed that (1) the UAV provides high-resolution data, and exposed rocks can be efficiently extracted from UAV images. This method could replace ground surveys. (2) The accuracy of the stepwise upscaling method was higher than that of the nonstepwise upscaling method in large areas. R-2 increased by 64.9%, and the root mean square error (RMSE) decreased by 82.9%. (3) Compared with that of the satellite-based BRR, the accuracy of the multiband regression model-extracted BRR was higher. R-2 increased by 21.5%, and the RMSE decreased by 62.2%. This study demonstrated that the stepwise upscaling method and multiband regression can be combined to extract high-precision and large-scale BRR data, which can be used to serve ecological engineering monitoring and ecological governance.
英文关键词	bare rock rate multiband regression rocky desertification satellite images stepwise upscaling method UAVs
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001052439700001
WOS关键词	EVOLUTION CHARACTERISTICS ; DESERTIFICATION ; UAV ; CLIMATE ; REGION ; IMPACT
WOS类目	Environmental Sciences ; Soil Science
WOS研究方向	Environmental Sciences & Ecology ; Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397764
推荐引用方式 GB/T 7714	Wang, Dongliang,Sui, Xiangyu. Extraction of the bare rock rate in counties of typical karst areas based on unmanned aerial vehicle images and satellite data, China[J],2023,34(17):5499-5513.
APA	Wang, Dongliang,&Sui, Xiangyu.(2023).Extraction of the bare rock rate in counties of typical karst areas based on unmanned aerial vehicle images and satellite data, China.LAND DEGRADATION & DEVELOPMENT,34(17),5499-5513.
MLA	Wang, Dongliang,et al."Extraction of the bare rock rate in counties of typical karst areas based on unmanned aerial vehicle images and satellite data, China".LAND DEGRADATION & DEVELOPMENT 34.17(2023):5499-5513.