干旱区生态环境知识资源中心(Arid): Assessment of karst rocky desertification from the local to regional scale based on unmanned aerial vehicle images: A case-study of Shilin County, Yunnan Province, China

Arid

DOI	10.1002/ldr.4106
	Assessment of karst rocky desertification from the local to regional scale based on unmanned aerial vehicle images: A case-study of Shilin County, Yunnan Province, China
	Dai, Guanghui; Sun, Hu; Wang, Bin; Huang, Conghong; Wang, Wenli; Yao, Yang; Li, Ninglv; Ou, Xiaokun; Zhang, Zhiming
通讯作者	Zhang, ZM (corresponding author), Yunnan Univ, Sch Ecol & Environm Sci, Inst Ecol & Geobot, Kunming 650091, Yunnan, Peoples R China.
来源期刊	LAND DEGRADATION & DEVELOPMENT
ISSN	1085-3278
EISSN	1099-145X
出版年	2021
英文摘要	Karst rocky desertification is a major ecologic and geologic problem in Southwest China that has restricted the sustainable development of society and the economy. Many methods have been used to evaluate rocky desertification based on satellite remote sensing, but the results of these methods are affected by the heterogeneous surroundings of the karst region and the low resolution of sensors. In this study, a new method that combines satellite images and unmanned aerial vehicle (UAV) images was used to quantitatively extract information and evaluate rocky desertification. First, we extracted the bare rock ratio from the local high-resolution UAV images, and then the regression models were established between the bare rock ratio of UAV images and the band reflectivity and eight rock indices of satellite images to invert the bare rock ratio at the county scale. The results showed that the overall accuracy and F1 of the classification of UAV images was 97% and 90%, respectively. The linear regression model between the reflectivity of the pixels in band 2 of the LANDSAT image and the bare rock ratio extracted from the UAV images was the best (R-2 = 0.86). In addition, our method in which rocky desertification was assessed by the inversion model based on UAV images and LANDSAT images was superior to the traditional approach based on vegetation coverage. These results suggested that we can extract information on rocky desertification based on high-resolution UAV images and assess rocky desertification by the inversion model from the local to regional scale.
英文关键词	bare rock ratio inversion model rocky desertification satellite imaging UAV investigation
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000708271400001
WOS关键词	ESTIMATING ECOLOGICAL INDICATORS ; LAND-COVER CHANGE ; SPECTRAL INDEXES ; EXPOSED BEDROCK ; CLASSIFICATION ; VEGETATION ; LIDAR ; FRACTIONS ; ACCURACY ; AREAS
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/2XILL650/364108
作者单位	[Dai, Guanghui; Wang, Bin; Wang, Wenli; Yao, Yang; Li, Ninglv; Ou, Xiaokun; Zhang, Zhiming] Yunnan Univ, Yunnan Key Lab Plateau Mt Ecol & Restorat Degrade, Sch Ecol & Environm Sci, Kunming, Yunnan, Peoples R China; [Sun, Hu] Guizhou Shuiluyuan Ecol Environm Consulting Co Lt, Dept Ecol & Geog Informat Syst, Guiyang, Peoples R China; [Huang, Conghong] Univ Buffalo, Dept Epidemiol & Environm Hlth, Sch Publ Hlth & Hlth Profess, Buffalo, NY USA
推荐引用方式 GB/T 7714	Dai, Guanghui,Sun, Hu,Wang, Bin,et al. Assessment of karst rocky desertification from the local to regional scale based on unmanned aerial vehicle images: A case-study of Shilin County, Yunnan Province, China[J],2021.
APA	Dai, Guanghui.,Sun, Hu.,Wang, Bin.,Huang, Conghong.,Wang, Wenli.,...&Zhang, Zhiming.(2021).Assessment of karst rocky desertification from the local to regional scale based on unmanned aerial vehicle images: A case-study of Shilin County, Yunnan Province, China.LAND DEGRADATION & DEVELOPMENT.
MLA	Dai, Guanghui,et al."Assessment of karst rocky desertification from the local to regional scale based on unmanned aerial vehicle images: A case-study of Shilin County, Yunnan Province, China".LAND DEGRADATION & DEVELOPMENT (2021).