干旱区生态环境知识资源中心(Arid): A Novel Method for Detecting and Delineating Coppice Trees in UAV Images to Monitor Tree Decline

Arid

DOI	10.3390/rs14235910
	A Novel Method for Detecting and Delineating Coppice Trees in UAV Images to Monitor Tree Decline
	Ghasemi, Marziye; Latifi, Hooman; Pourhashemi, Mehdi
通讯作者	Latifi, H
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:23
英文摘要	Monitoring tree decline in arid and semi-arid zones requires methods that can provide up-to-date and accurate information on the health status of the trees at single-tree and sample plot levels. Unmanned Aerial Vehicles (UAVs) are considered as cost-effective and efficient tools to study tree structure and health at small scale, on which detecting and delineating tree crowns is the first step to extracting varied subsequent information. However, one of the major challenges in broadleaved tree cover is still detecting and delineating tree crowns in images. The frequent dominance of coppice structure in degraded semi-arid vegetation exacerbates this problem. Here, we present a new method based on edge detection for delineating tree crowns based on the features of oak trees in semi-arid coppice structures. The decline severity in individual stands can be analyzed by extracting relevant information such as texture from the crown area. Although the method presented in this study is not fully automated, it returned high performances including an F-score = 0.91. Associating the texture indices calculated in the canopy area with the phenotypic decline index suggested higher correlations of the GLCM texture indices with tree decline at the tree level and hence a high potential to be used for subsequent remote-sensing-assisted tree decline studies.
英文关键词	UAV crown delineation coppice Zagros oak forests edge detection decline texture analysis
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:000897235900001
WOS关键词	CROWN DELINEATION ; KURDISTAN PROVINCE ; EDGE-DETECTION ; F-SCORE ; LIDAR ; FOREST ; HEIGHT ; SEGMENTATION ; PERFORMANCE ; PRECISION
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; 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/2XILL650/394244
推荐引用方式 GB/T 7714	Ghasemi, Marziye,Latifi, Hooman,Pourhashemi, Mehdi. A Novel Method for Detecting and Delineating Coppice Trees in UAV Images to Monitor Tree Decline[J],2022,14(23).
APA	Ghasemi, Marziye,Latifi, Hooman,&Pourhashemi, Mehdi.(2022).A Novel Method for Detecting and Delineating Coppice Trees in UAV Images to Monitor Tree Decline.REMOTE SENSING,14(23).
MLA	Ghasemi, Marziye,et al."A Novel Method for Detecting and Delineating Coppice Trees in UAV Images to Monitor Tree Decline".REMOTE SENSING 14.23(2022).