DOI: 10.1016/j.jag.2013.12.014
Scopus记录号: 2-s2.0-84897451869
论文题名: Continuous field mapping of Mediterranean wetlands using sub-pixel spectral signatures and multi-temporal Landsat data
作者: Reschke J ; , Hüttich C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 28, 期: 1 起始页码: 220
结束页码: 229
语种: 英语
英文关键词: Land use/land cover (LULC)
; Multivariate reflectance analysis
; Random forest
; Wetland mapping
; Wetland-dynamics
Scopus关键词: ecosystem function
; ecosystem service
; environmental management
; forest cover
; image classification
; image resolution
; land cover
; land use change
; Landsat thematic mapper
; mapping
; multivariate analysis
; satellite data
; spectral analysis
; vegetation index
; wetland
; Mediterranean Region
; Turkey
英文摘要: Wetlands rank among the most diverse ecosystems on earth and function as important ecosystem service providers. Pressures on wetland ecosystems caused by human activities, such as land use transformations or agricultural intensification, lead to strong wetland degradation. Satellite-based wetland mapping still bears the most uncertainties compared to other land cover types mapping. Image classification techniques have to better adapt to specific wetland characteristics, such as spatial heterogeneity, seasonal dynamics and fuzzy transitions between different land cover classes. For this purpose, a pixel-based method for wetland delineation based on multi-temporal Landsat data in West Turkey was developed and analyzed. In addition to common vegetation indices and texture measures, the usefulness of seasonal indices was tested. Multi-temporal Landsat imagery was combined with high resolution satellite data to extract subpixel information of coastal and inland wetland classes based on a random forest regression algorithm. The classification achieved an overall accuracy of 79.02%. In addition to the hard wetland classification the mapping framework provides a map of fractional cover information of different wetland classes including information about fuzzy spatial transitions of highly heterogeneous distribution patterns of wetland habitats and related intra-annual seasonal dynamics. Mapping spatio-temporal wetland dynamics at continuous field scales increases the applicability of Landsat-derived maps for local-scale ecosystem monitoring and environmental management on habitat level. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79635
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Remote Sensing, University of Wuerzburg, Wuerzburg, Germany; Institute of Geography, Department for Earth Observation, Friedrich Schiller University, Jena, Germany
Recommended Citation:
Reschke J,, Hüttich C. Continuous field mapping of Mediterranean wetlands using sub-pixel spectral signatures and multi-temporal Landsat data[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,28(1)