干旱区生态环境知识资源中心(Arid): Mapping terrestrial groundwater-dependent ecosystems in arid Australia using Landsat-8 time-series data and singular value decomposition

Arid

DOI	10.1002/rse2.254
	Mapping terrestrial groundwater-dependent ecosystems in arid Australia using Landsat-8 time-series data and singular value decomposition
	Box, Jayne Brim; Leiper, Ian; Nano, Catherine; Stokeld, Danielle; Jobson, Peter; Tomlinson, Adrian; Cobban, Dale; Bond, Tim; Randall, Debbie; Box, Paul
通讯作者	Box, JB
来源期刊	REMOTE SENSING IN ECOLOGY AND CONSERVATION
EISSN	2056-3485
出版年	2022
卷号	8 期号:4 页码:464-476
英文摘要	The spatial extent of terrestrial vegetation types reliant on groundwater in arid Australia is poorly known, largely because they are located in remote areas that are expensive to survey. In previous attempts, the use of traditional remote sensing approaches failed to discriminate vegetation using groundwater from surrounding vegetation. Difficulties in discerning vegetation groundwater use by remote sensing may be exacerbated by the unpredictable rainfall patterns and lack of annual wet and dry seasons common in arid Australia. This study presents a novel approach to mapping terrestrial groundwater-dependent ecosystems (GDEs) by applying singular value decomposition (SVD) to time-series of vegetation indices derived from Landsat-8 data, to isolate the temporal and spatial sources of variation associated with groundwater use. In-situ data from 442 sites were used to supervise and validate logistic regression models and neural networks, to determine whether sites could be correctly classified as GDEs using components obtained from the SVD. These results were used to produce a probability map of GDE occurrence across a 557 000 ha study area. Overall accuracy of the final classification map was 79%, with 72% of sites correctly identified as GDEs (true positives) and 16% incorrectly classified as GDEs (false positives). The approach is broadly applicable in arid regions globally, and is easily validated if general background knowledge of regional vegetation exists. Globally, and going forward, increased water extraction is expected to severely limit water available for GDEs. Successfully mapping GDEs in arid environments is a critical step towards their sustainable management, and the human and natural systems reliant upon them.
英文关键词	Groundwater-dependent ecosystem Landsat mapping time-series singular value decomposition
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:000768165100001
WOS关键词	VEGETATION ; WATER
WOS类目	Ecology ; Remote Sensing
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394256
推荐引用方式 GB/T 7714	Box, Jayne Brim,Leiper, Ian,Nano, Catherine,et al. Mapping terrestrial groundwater-dependent ecosystems in arid Australia using Landsat-8 time-series data and singular value decomposition[J],2022,8(4):464-476.
APA	Box, Jayne Brim.,Leiper, Ian.,Nano, Catherine.,Stokeld, Danielle.,Jobson, Peter.,...&Box, Paul.(2022).Mapping terrestrial groundwater-dependent ecosystems in arid Australia using Landsat-8 time-series data and singular value decomposition.REMOTE SENSING IN ECOLOGY AND CONSERVATION,8(4),464-476.
MLA	Box, Jayne Brim,et al."Mapping terrestrial groundwater-dependent ecosystems in arid Australia using Landsat-8 time-series data and singular value decomposition".REMOTE SENSING IN ECOLOGY AND CONSERVATION 8.4(2022):464-476.