DOI: 10.1016/j.jag.2014.10.002
Scopus记录号: 2-s2.0-84945299335
论文题名: Object-based class modelling for multi-scale riparian forest habitat mapping
作者: Strasser T ; , Lang S
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 37 起始页码: 29
结束页码: 37
语种: 英语
英文关键词: Multilevel class modelling
; Natura 2000
; Obia
; Object hierarchy
; Semi-automated habitat mapping
; Worldview-2
Scopus关键词: habitat structure
; image analysis
; modeling
; riparian forest
; riparian zone
; satellite imagery
; segmentation
; vegetation mapping
; WorldView
英文摘要: Object-based class modelling allows for mapping complex, hierarchical habitat systems. The riparian zone, including forests, represents such a complex ecosystem. Forests within riparian zones are biologically high productive and characterized by a rich biodiversity; thus considered of high community interest with an imperative to be protected and regularly monitored. Satellite earth observation (EO) provides tools for capturing the current state of forest habitats such as forest composition including intermixture of non-native tree species. Here we present a semi-automated object based image analysis (OBIA) approach for the mapping of riparian forests by applying class modelling of habitats based on the European Nature Information System (EUNIS) habitat classifications and the European Habitats Directive (HabDir) Annex 1. A very high resolution (VHR) WorldView-2 satellite image provided the required spatial and spectral details for a multi-scale image segmentation and rule-base composition to generate a six-level hierarchical representation of riparian forest habitats. Thereby habitats were hierarchically represented within an image object hierarchy as forest stands, stands of homogenous tree species and single trees represented by sunlit tree crowns. 522 EUNIS level 3 (EUNIS-3) habitat patches with a mean patch size (MPS) of 12,349.64 m2 were modelled from 938 forest stand patches (MPS = 6868.20 m2) and 43,742 tree stand patches (MPS = 140.79 m2). The delineation quality of the modelled EUNIS-3 habitats (focal level) was quantitatively assessed to an expert-based visual interpretation showing a mean deviation of 11.71%. © 2014 Elsevier B.V.. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79556
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geoinformatics - ZJGIS, University of Salzburg, Schillerstraße 30, Salzburg, Austria
Recommended Citation:
Strasser T,, Lang S. Object-based class modelling for multi-scale riparian forest habitat mapping[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,37