干旱区生态环境知识资源中心(Arid): Rural Land Degradation Assessment through Remote Sensing: Current Technologies, Models, and Applications

Arid

DOI	10.3390/rs16163059
	Rural Land Degradation Assessment through Remote Sensing: Current Technologies, Models, and Applications
	D'Acunto, Federica; Marinello, Francesco; Pezzuolo, Andrea
通讯作者	Pezzuolo, A
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2024
卷号	16 期号:16
英文摘要	Degradation and desertification represent serious threats, as they present severe environmental and socio-economic consequences, demanding immediate action. Although a recognized methodology for assessing degradation and desertification is missing, remote sensing has been recognized as a powerful support for its accessibility and efficacy. The aim of this study is to examine the application of remote sensing for assessing land and soil degradation and desertification. A total of 278 research papers retrieved from Scopus/Web of Science database and published over the past decade have been analyzed. From the analysis of scientific publications, a rising interest for these topics and a dominance of research from China has been registered. Established satellite data, Landsat, and MODIS, despite limitations in accuracy and resolution, remain popular due to easy access. This restricts research to broader scales and limits practical applications like land management. The prevalent use of vegetation indexes, while convenient, can be misleading due to their indirect connection to soil health. Consequently, vegetation-based models may not fully capture the complexities involved. To improve understanding, the study suggests a shift towards multi-indexes models and a move away from relying solely on readily available data products. Moreover, the application of data fusion methods could provide a more holistic view.
英文关键词	rural areas land degradation remote sensing environmental modelling spatial analysis
类型	Review
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001304636100001
WOS关键词	SPATIAL ASSESSMENT ; DESERTIFICATION ; SENSITIVITY ; EROSION ; VULNERABILITY ; INDICATORS ; DROUGHT ; DECADES ; REGION ; SAHEL
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/2XILL650/405323
推荐引用方式 GB/T 7714	D'Acunto, Federica,Marinello, Francesco,Pezzuolo, Andrea. Rural Land Degradation Assessment through Remote Sensing: Current Technologies, Models, and Applications[J],2024,16(16).
APA	D'Acunto, Federica,Marinello, Francesco,&Pezzuolo, Andrea.(2024).Rural Land Degradation Assessment through Remote Sensing: Current Technologies, Models, and Applications.REMOTE SENSING,16(16).
MLA	D'Acunto, Federica,et al."Rural Land Degradation Assessment through Remote Sensing: Current Technologies, Models, and Applications".REMOTE SENSING 16.16(2024).