干旱区生态环境知识资源中心(Arid): Detecting semi-arid forest decline using time series of Landsat data

Arid

DOI	10.1080/22797254.2023.2260549
	Detecting semi-arid forest decline using time series of Landsat data
	Shafeian, Elham; Fassnacht, Fabian Ewald; Latifi, Hooman
通讯作者	Shafeian, E
来源期刊	EUROPEAN JOURNAL OF REMOTE SENSING
EISSN	2279-7254
出版年	2023
卷号	56 期号:1
英文摘要	Detecting forest decline is crucial for effective forest management in arid and semi-arid regions. Remote sensing using satellite image time series is useful for identifying reduced photosynthetic activity caused by defoliation. However, current studies face limitations in detecting forest decline in sparse semi-arid forests. In this study, three Landsat time-series-based approaches were used to distinguish non-declining and declining forest patches in the Zagros forests. The random forest was the most accurate approach, followed by anomaly detection and the Sen's slope approach, with an overall accuracy of 0.75 (kappa = 0.50), 0.65 (kappa = 0.30), and 0.64 (kappa = 0.30), respectively. The classification results were unaffected by the Landsat acquisition times, indicating that rather, environmental variables may have contributed to the separation of declining and non-declining areas and not the remotely sensed spectral signal of the trees. We conclude that identifying declining forest patches in semi-arid regions using Landsat data is challenging. This difficulty arises from weak vegetation signals caused by limited canopy cover before a bright soil background, which makes it challenging to detect modest degradation signals. Additional environmental variables may be necessary to compensate for these limitations.
英文关键词	forest decline Landsat time series random forest anomaly Sen's slope semi-arid
类型	Article
语种	英语
开放获取类型	Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:001070081700001
WOS关键词	CHLOROPHYLL CONTENT ; VEGETATION ; LEAF ; COVER ; DISTURBANCE ; TRENDS ; MODEL ; INDEX ; NDVI
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396331
推荐引用方式 GB/T 7714	Shafeian, Elham,Fassnacht, Fabian Ewald,Latifi, Hooman. Detecting semi-arid forest decline using time series of Landsat data[J],2023,56(1).
APA	Shafeian, Elham,Fassnacht, Fabian Ewald,&Latifi, Hooman.(2023).Detecting semi-arid forest decline using time series of Landsat data.EUROPEAN JOURNAL OF REMOTE SENSING,56(1).
MLA	Shafeian, Elham,et al."Detecting semi-arid forest decline using time series of Landsat data".EUROPEAN JOURNAL OF REMOTE SENSING 56.1(2023).