干旱区生态环境知识资源中心(Arid): An evaluation of different approaches which use Google Street View imagery to ground truth land degradation assessments

Arid

DOI	10.1007/s10661-022-10438-5
	An evaluation of different approaches which use Google Street View imagery to ground truth land degradation assessments
	Bell, Wesley Drummond; Visser, Vernon; Kirsten, Tim; Hoffman, Michael Timm
通讯作者	Bell, WD
来源期刊	ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN	0167-6369
EISSN	1573-2959
出版年	2022
卷号	194 期号:10
英文摘要	Member states of the United Nations Convention to Combat Desertification are required to report on the proportion of land that is degraded in their countries, a requirement that is also tied into the UN Sustainable Development Goals (SDGs). National land degradation assessments are often conducted with the use of remote sensing data which are not always ground truthed. Google Street View (GSV) provides high resolution, panoramic imagery across large parts of the world that has the potential to be used to ground truth land degradation assessments. We apply three different methodologies (visual interpretation of GSV images, GSV image classification and vegetation index extraction) to derive vegetation cover estimates from Google Street View imagery for the Hardeveld bioregion of the Succulent Karoo biome in South Africa. Visual estimates of cover best predict known habitat condition values (adjusted R-2 = 0.86), whilst estimates derived from an unsupervised classification of GSV images also predict habitat condition relatively well (adjusted R-2 = 0.52). These results show the potential for using GSV imagery, and other large collections of ground-level landscape photographs, as a rough ground-truthing tool, especially in instances where more traditional ground-truthing approaches are not possible.
英文关键词	Land degradation assessment Google Street View Ground truth
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000850584600003
WOS关键词	NDVI
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/2XILL650/392481
推荐引用方式 GB/T 7714	Bell, Wesley Drummond,Visser, Vernon,Kirsten, Tim,et al. An evaluation of different approaches which use Google Street View imagery to ground truth land degradation assessments[J],2022,194(10).
APA	Bell, Wesley Drummond,Visser, Vernon,Kirsten, Tim,&Hoffman, Michael Timm.(2022).An evaluation of different approaches which use Google Street View imagery to ground truth land degradation assessments.ENVIRONMENTAL MONITORING AND ASSESSMENT,194(10).
MLA	Bell, Wesley Drummond,et al."An evaluation of different approaches which use Google Street View imagery to ground truth land degradation assessments".ENVIRONMENTAL MONITORING AND ASSESSMENT 194.10(2022).