干旱区生态环境知识资源中心(Arid): Image-based vegetation analysis of desertified area by using a combination of ImageJ and Photoshop software

Arid

DOI	10.1007/s10661-024-12479-4
	Image-based vegetation analysis of desertified area by using a combination of ImageJ and Photoshop software
	Tong, Jin; Wu, Longying; Li, Bin; Jiang, Nan; Huang, Jin; Wu, Di; Zhou, Lihong; Yang, Qingwen; Jiao, Yuan; Chen, Ji; Zhao, Ke; Pei, Xiangjun
通讯作者	Huang, J
来源期刊	ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN	0167-6369
EISSN	1573-2959
出版年	2024
卷号	196 期号:3
英文摘要	Fractional vegetation cover (FVC) is a crucial indicator to estimate degradation and desertification for grasslands. However, traditional small-scale FVC analysis methods, such as visual estimation and point-sampling, are cumbersome and imprecise. Innovative methods like image-based FVC analysis methods, while accurate, face challenges such as complex analytical procedures and the necessary training for operations. Therefore, in this study, a combined application of ImageJ and Photoshop was employed to achieve a more effective analysis of FVC values in desertification areas. Our results showed that the FVC results obtained by combination of Photoshop and ImageJ were dependable and precise (R-2 > 0.98), demonstrating equivalency to results obtained through either visual estimation or Photoshop-based methods. Furthermore, even in the face of background interference and varied shooting angles, the combination of ImageJ and Photoshop software was still able to maintain a low error rate when analyzing FVC values (average error rate = - 2.6%). In conclusion, the imaged-based combined FVC analysis method employed in our research was an effective, precise, and efficient technique for analyzing small-scale FVC, promising substantial improvement over conventional methods.
英文关键词	Fractional vegetation cover Distorted images Combined analysis Background noise
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001173230300003
WOS关键词	CANOPY COVERAGE ; ALGORITHMS ; PINYON ; INDEX ; PLANT ; SOIL
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/2XILL650/403591
推荐引用方式 GB/T 7714	Tong, Jin,Wu, Longying,Li, Bin,et al. Image-based vegetation analysis of desertified area by using a combination of ImageJ and Photoshop software[J],2024,196(3).
APA	Tong, Jin.,Wu, Longying.,Li, Bin.,Jiang, Nan.,Huang, Jin.,...&Pei, Xiangjun.(2024).Image-based vegetation analysis of desertified area by using a combination of ImageJ and Photoshop software.ENVIRONMENTAL MONITORING AND ASSESSMENT,196(3).
MLA	Tong, Jin,et al."Image-based vegetation analysis of desertified area by using a combination of ImageJ and Photoshop software".ENVIRONMENTAL MONITORING AND ASSESSMENT 196.3(2024).