Arid
DOI10.1002/rse2.5
Testing the water: detecting artificial water points using freely available satellite data and open source software
Owen, Harry Jon Foord; Duncan, Clare; Pettorelli, Nathalie
通讯作者Pettorelli, N
来源期刊REMOTE SENSING IN ECOLOGY AND CONSERVATION
EISSN2056-3485
出版年2015
卷号1期号:1页码:61-72
英文摘要Deserts are among the most poorly understood biomes in the world, currently experiencing among the highest rates of environmental change and biodiversity loss. A major controlling factor on the ecology and distribution of vegetation and animal populations in these harsh arid systems is the abundance and distribution of water sources. Accordingly, extraction and redistribution of water at artificial water points across desert landscapes can constitute a real threat to local ecosystem dynamics. A major challenge in tackling this potential threat is identifying changes in the distribution of artificial water points through space and time, due to the difficulties of collecting such information at relevant spatial and temporal scales. We here investigate the potential for freely available satellite imagery to provide reliable information about the distribution of artificial water points using the Ouadi Rime-Ouadi Achim Faunal Reserve (OROAFR), Chad, as a case study. We reveal that Landsat 8 data combined with texture analysis can accurately detect these artificial landmarks across the heterogeneous environment of OROAFR; 75.68% of artificial water points within the site were successfully identified and false positive detection rate was minimal at 7.69%. The methodological framework developed for this work, based on the treatment of freely available satellite data using open source software, adds to other works attempting to help monitor threats to biodiversity in desert ecosystems, enabling up-to-date information on the level of anthropogenic activities in these habitats to be easily and regularly collected.
英文关键词Anthropogenic activity deserts land use change open source remote sensing satellite data
类型Article
语种英语
开放获取类型DOAJ Gold, Green Published
收录类别ESCI
WOS记录号WOS:000448239100007
WOS关键词TEXTURE ANALYSIS ; RANDOM FORESTS ; COVER ; CLASSIFICATION ; BIODIVERSITY ; DEGRADATION ; FEATURES ; IMPACTS ; CLIMATE ; INDEX
WOS类目Ecology ; Remote Sensing
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing
来源机构University of London
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/331457
作者单位[Owen, Harry Jon Foord; Duncan, Clare; Pettorelli, Nathalie] Zool Soc London, Inst Zool, Regents Pk, London NW1 4RY, England; [Duncan, Clare] UCL, UCL Dept Geog, London, England
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Owen, Harry Jon Foord,Duncan, Clare,Pettorelli, Nathalie. Testing the water: detecting artificial water points using freely available satellite data and open source software[J]. University of London,2015,1(1):61-72.
APA Owen, Harry Jon Foord,Duncan, Clare,&Pettorelli, Nathalie.(2015).Testing the water: detecting artificial water points using freely available satellite data and open source software.REMOTE SENSING IN ECOLOGY AND CONSERVATION,1(1),61-72.
MLA Owen, Harry Jon Foord,et al."Testing the water: detecting artificial water points using freely available satellite data and open source software".REMOTE SENSING IN ECOLOGY AND CONSERVATION 1.1(2015):61-72.
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