globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2016.07.019
Scopus记录号: 2-s2.0-85004088925
论文题名:
Mapping Prosopis spp. with Landsat 8 data in arid environments: Evaluating effectiveness of different methods and temporal imagery selection for Hargeisa, Somaliland
作者: Ng W; -T; , Meroni M; , Immitzer M; , Böck S; , Leonardi U; , Rembold F; , Gadain H; , Atzberger C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 53
起始页码: 76
结束页码: 89
语种: 英语
英文关键词: Invasive species ; OBIA ; Prosopis spp. ; Random forest classifier
Scopus关键词: angiosperm ; arid environment ; image classification ; invasive species ; Landsat ; mapping ; remote sensing ; satellite imagery ; Ethiopia ; Somali ; Prosopis
英文摘要: Prosopis spp. is a fast and aggressive invader threatening many arid and semi-arid areas globally. The species is native to the American dry zones and was introduced in Somaliland for dune stabilization and fuel wood production in the 1970⿿s and 1980⿿s. Its deep rooting system is capable of tapping into the groundwater table thereby reducing its reliance on infrequent rainfalls and near-surface water. The competitive advantage of Prosopis is further fuelled by the hybridization of the many introduced subspecies that made the plant capable of adapting to the new environment and replacing endemic species. This study aimed to test the mapping accuracy achievable with Landsat 8 data acquired during the wet and the dry seasons within a Random Forest (RF) classifier, using both pixel- and object-based approaches. Maps are produced for the Hargeisa area (Somaliland), where reference data was collected during the dry season of 2015. Results were assessed through a 10-fold cross-validation procedure. In our study, the highest overall accuracy (74%) was achieved when applying a pixel-based classification using a combination of the wet and dry season Earth observation data. Object-based mapping were less reliable due to the limitations in spatial resolution of the Landsat data (15⿿30 m) and problems in finding an appropriate segmentation scale. © 2016 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80116
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作者单位: Institute for Surveying, Remote Sensing and Land Information (IVFL), University of Natural Resources and Life Sciences (BOKU), Peter Jordan Straÿe 82, Vienna (BOKU), Austria; Joint Research Center of the European Commission, MARS Unit, Via Fermi 2749, TP. 266, Ispra (VA), Italy; Food and Agriculture Organization of the United Nations, Somalia Water and Land Information Management (FAO-SWALIM) Project, P. O. Box 30470-00100, Nairobi, Kenya

Recommended Citation:
Ng W,-T,, Meroni M,et al. Mapping Prosopis spp. with Landsat 8 data in arid environments: Evaluating effectiveness of different methods and temporal imagery selection for Hargeisa, Somaliland[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,53
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