干旱区生态环境知识资源中心(Arid): Extraction of farmland shelterbelts from remote sensing imagery based on a belt-oriented method

Arid

DOI	10.3389/ffgc.2023.1247032
	Extraction of farmland shelterbelts from remote sensing imagery based on a belt-oriented method
	Deng, Rongxin; Guo, Qunzuo; Jia, Menghao; Wu, Yuzong; Zhou, Qiwen; Xu, Zhengran
通讯作者	Guo, QZ
来源期刊	FRONTIERS IN FORESTS AND GLOBAL CHANGE
EISSN	2624-893X
出版年	2023
卷号	6
英文摘要	IntroductionFarmland shelterbelts play a positive role in ensuring food security and ecological safety. The absence or degradation of shelterbelt structures can lead to fragmentation of the remotely extracted results. Conversely, shelterbelt maintenance and management system considers these shelterbelts as entire units, even if they are divided into several parts by the gaps in them. It is essential to propose a remote extraction method to fill in fragmented results and accurately represent the distribution of farmland shelterbelts.MethodsIn this study, random forest algorithm was employed to classify land cover from ZY-3 (ZiYuan-3 satellite from China) imagery. Then, a thinning algorithm of mathematical morphology was applied to extract farmland shelterbelts, and the straight-line connection algorithm was used to connect central lines belonging to the same belt. Finally, the result was validated using nine uniformly distributed training sample areas across the entire region.Results and discussionThis method achieved a correct identification rate of 94.9% within the training areas. Among the different regions, the highest identification accuracy recorded was 98.4% and the lowest was 87.7%. In conjunction with cropland information and the shape index of forest patches, it was possible to remove information for non-farmland shelterbelts without introducing external information. This approach achieved a more refined extraction of forestland information. The combination of the thinning algorithm and straight-line connection algorithm addressed the issue of fragmented results in farmland shelterbelt extraction, compensating for the limitations of relying solely on mathematical morphology for belt connectivity. The research method can provide technical support for the monitoring and management of farmland shelterbelts.
英文关键词	farmland shelterbelts remote sensing morphology line linking information extraction
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001065591500001
WOS关键词	FOREST ; CLASSIFICATION ; WINDBREAKS ; OASIS ; TREE
WOS类目	Ecology ; Forestry
WOS研究方向	Environmental Sciences & Ecology ; Forestry
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396538
推荐引用方式 GB/T 7714	Deng, Rongxin,Guo, Qunzuo,Jia, Menghao,et al. Extraction of farmland shelterbelts from remote sensing imagery based on a belt-oriented method[J],2023,6.
APA	Deng, Rongxin,Guo, Qunzuo,Jia, Menghao,Wu, Yuzong,Zhou, Qiwen,&Xu, Zhengran.(2023).Extraction of farmland shelterbelts from remote sensing imagery based on a belt-oriented method.FRONTIERS IN FORESTS AND GLOBAL CHANGE,6.
MLA	Deng, Rongxin,et al."Extraction of farmland shelterbelts from remote sensing imagery based on a belt-oriented method".FRONTIERS IN FORESTS AND GLOBAL CHANGE 6(2023).