DOI: 10.1016/j.jag.2014.11.002
Scopus记录号: 2-s2.0-84945304832
论文题名: A transferability study of the kernel-based reclassification algorithmfor habitat delineation
作者: Keramitsoglou I ; , Stratoulias D ; , Fitoka E ; , Kontoes C ; , Sifakis N
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 37 起始页码: 38
结束页码: 47
语种: 英语
英文关键词: ANAX
; Dual-date imagery
; Wetland mapping
; WorldView-2
Scopus关键词: algorithm
; habitat
; image classification
; mapping
; satellite imagery
; wetland
; WorldView
; Aliakmon River
; Axios River
; Greece
英文摘要: Wetland mapping using Earth observation (EO) data has proved to be a challenging task for practitionersdue to the complexity in the spatial structure and composition, the wide within-class spectral variabilityand the absence of easily distinguishable boundaries between habitat types. Furthermore, the inherenttemporal water instability of these landscapes poses an obstacle to the integration of field data withremote sensing data, which also are not acquired simultaneously at all times. To cope with these limitations we tested the applicability of the Kernel-based reclassification (KRC)algorithm on very high spatial resolution (VHR) satellite imagery over a wetland. A composite multi-temporal (i.e. dual-date) VHR WorldView-2 image consisting of spectral bands and indices derived fromtwo images acquired during flooded and dry water conditions were employed. This dataset stresses theseasonal variations of the habitat in response to environmental changes (i.e. flooding) occurring betweenthe two acquisition dates. Multi-temporal imagery is an important information source for fine mappingof wetlands such are river deltas. A multi-temporal approach could reveal even more specific informationduring the phenology of these habitats. The methodology was applied firstly to Axios and then to Aliakmonas river deltas in Northern Greece. The results revealed an overall accuracy of 53% in the first and more complex site, and 86% in the secondsite. © 2014 Elsevier B.V.. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79485
Appears in Collections: 气候变化事实与影响
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作者单位: Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Metaxa and Vas. Pavlou St, Penteli, Greece; Balaton Limnological Institute, Centre for Ecological Research, Hungarian Academy of Sciences, Klebelsberg kuno u. 3, Tihany, Hungary; The Goulandris Natural History Museum, Greek Biotope/Wetland Centre (EKBY), 14th km Thessaloniki, Mihaniona, Thermi, Thessaloniki, Greece
Recommended Citation:
Keramitsoglou I,, Stratoulias D,, Fitoka E,et al. A transferability study of the kernel-based reclassification algorithmfor habitat delineation[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,37