DOI: 10.1016/j.jag.2014.08.004
Scopus记录号: 2-s2.0-84924354731
论文题名: Remote sensing and GIS analysis for mapping spatio-temporalchanges of erosion and deposition of two Mediterranean river deltas: The case of the Axios and Aliakmonas rivers, Greece
作者: Petropoulos G ; P ; , Kalivas D ; P ; , Griffiths H ; M ; , Dimou P ; P
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 35, 期: PB 起始页码: 217
结束页码: 228
语种: 英语
英文关键词: Coastline mapping
; GIS
; Landsat TM
; Photo-interpretation
; Remote sensing
; Support vector machines
Scopus关键词: artificial intelligence
; coastal wetland
; delta
; deposition
; erosion
; GIS
; image classification
; Landsat thematic mapper
; mapping
; Mediterranean environment
; remote sensing
; spatial variation
; temporal variation
; Aliakmonas River
; Axios River
; Greece
; Animalia
英文摘要: Wetlands are among Earth's most dynamic, diverse and varied habitats as the balance between land andwater surfaces provide shelter to a unique mixture of plant and animal species. This study explores thechanges in two Mediterranean wetland delta environments formed by the Axios and Aliakmonas riverslocated in Greece, over a 25-year period (1984-2009). Direct photo-interpretation of four Landsat TMimages acquired during the study period was performed. Furthermore, a sophisticated, semi-automaticimage classification method based on support vector machines (SVMs) was developed to streamlinethe mapping process. Deposition and erosion magnitudes at different temporal scales during the studyperiod were quantified using both approaches based on coastline surface area changes. Analysis usingboth methods was conducted in a geographical information systems (GIS) environment. Direct photo-interpretation, which formed our reference dataset, showed noticeable changes in thecoastline deltas of both study areas, with erosion occurring mostly in the earlier periods (1990-2003) inboth river deltas followed by deposition in more recent years (2003-2009), but at different magnitudes. Spatial patterns of coastline changes predicted from the SVMs showed similar trends. In absolute termsSVMs predictions of sediment erosion and deposition in the studied area were different in the order of5-20% in comparison to photo-interpretation, evidencing the potential capability of this method in coast-line changes monitoring. One of the main contributions of our work lies to the use of the SVMs classifierin coastal mapping of changes, since to our knowledge use of this technique has been under-explored inthis application domain. Furthermore, this study provides important contribution to the understandingof Mediterranean river delta dynamics and their behaviours, and corroborates the usefulness of EO tech-nology and GIS as an effective tool in policy decision making and successful landscape management. Thelatter is of considerable scientific and practical value to the wider community of interested users, giventhe continued open access to observations from this satellite radiometer globally. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79589
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geography and Earth Sciences, Aberystwyth University, Penglais Campus, Aberystwyth, United Kingdom; Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos, Athens, Greece
Recommended Citation:
Petropoulos G,P,, Kalivas D,et al. Remote sensing and GIS analysis for mapping spatio-temporalchanges of erosion and deposition of two Mediterranean river deltas: The case of the Axios and Aliakmonas rivers, Greece[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,35(PB)