干旱区生态环境知识资源中心(Arid): Abandoned land identification in karst mountain area based on time series SAR characteristics at geo-parcels scale

Arid

DOI	10.1007/s11629-021-7281-6
	Abandoned land identification in karst mountain area based on time series SAR characteristics at geo-parcels scale
	Zhou, Zhong-fa; Wang, Ling-yu; Chen, Quan; Luo, Jian-cheng; Zhao, Xin; Zhang, Shu; Zhang, Wen-hui; Liao, Juan; Lyu, Zhi-jun
通讯作者	Wang, LY
来源期刊	JOURNAL OF MOUNTAIN SCIENCE
ISSN	1672-6316
EISSN	1993-0321
出版年	2023
卷号	20 期号:3 页码:792-809
英文摘要	Mapping abandoned land is very important for accurate agricultural management. However, in karst mountainous areas, continuous high-resolution optical images are difficult to obtain in rainy weather, and the land is fragmented, which poses a great challenge for remote sensing monitoring of agriculture activities. In this study, a new method for identifying abandoned land is proposed: firstly, a few Google Earth images are used to transform arable land into accurate vectorized geo-parcels; secondly, a time-series data set was constructed using Sentinel-1A Alpha parameters for 2020 on each farmland geoparcel; thirdly, the semi-variation function (SVF) was used to analyze the spatial-temporal characteristics, then identify abandoned land. The results show: (1) On the basis of accurate spatial information and boundary of farmland land, the SAR time-series dataset reflects the structure and time-series response. The method eventually extracted abandoned land with an accuracy of 80.25%. The problem of remote sensing monitoring in rainy regions and complex surface areas is well-resolved. (2) The spatial heterogeneity of abandoned land is more obvious than that of cultivated land within geo-parcels. The step size for significant changes in the SVF of abandoned land is shorter than that of cultivated land. (3) The SVF time sequence curve presented a strong peak feature when farmland was abandoned. This reveals that the internal spatial structure of abandoned land is more disordered and complex. It showed that time-series variations of spatial structure within cultivated land have broader applications in remote sensing monitoring of agriculture in complex imaging environments.
英文关键词	Sentinel-1 SAR Abandoned farmland Semi variogram function Farmland geo parcel Time series characteristics Texture feature Karst mountainous area
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000946961000006
WOS关键词	TARGET DECOMPOSITION-THEOREMS ; ROCKY DESERTIFICATION ; FARMLAND ABANDONMENT ; CARBON SEQUESTRATION ; CROPLAND ABANDONMENT ; SENTINEL-1
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397486
推荐引用方式 GB/T 7714	Zhou, Zhong-fa,Wang, Ling-yu,Chen, Quan,et al. Abandoned land identification in karst mountain area based on time series SAR characteristics at geo-parcels scale[J],2023,20(3):792-809.
APA	Zhou, Zhong-fa.,Wang, Ling-yu.,Chen, Quan.,Luo, Jian-cheng.,Zhao, Xin.,...&Lyu, Zhi-jun.(2023).Abandoned land identification in karst mountain area based on time series SAR characteristics at geo-parcels scale.JOURNAL OF MOUNTAIN SCIENCE,20(3),792-809.
MLA	Zhou, Zhong-fa,et al."Abandoned land identification in karst mountain area based on time series SAR characteristics at geo-parcels scale".JOURNAL OF MOUNTAIN SCIENCE 20.3(2023):792-809.