DOI: 10.1016/j.jag.2015.09.010
Scopus记录号: 2-s2.0-84964380916
论文题名: A computational framework for generalized moving windows and itsapplication to landscape pattern analysis
作者: Hagen-Zanker A
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 44 起始页码: 205
结束页码: 216
语种: 英语
英文关键词: Gradient model
; Landscape metric
; Moving window
; Multi-scale
Scopus关键词: computer simulation
; gradient analysis
; land cover
; landscape
; optimization
; remote sensing
; sensitivity analysis
; Ireland
; United Kingdom
英文摘要: Land cover products based on remotely sensed data are commonly investigated in terms of landscapecomposition and configuration; i.e. landscape pattern. Traditional landscape pattern indicators summa-rize an aspect of landscape pattern over the full study area. Increasingly, the advantages of representingthe scale-specific spatial variation of landscape patterns as continuous surfaces are being recognized. However, technical and computational barriers hinder the uptake of this approach. This article reducessuch barriers by introducing a computational framework for moving window analysis that separates thetasks of tallying pixels, patches and edges as a window moves over the map from the internal logic oflandscape indicators. The framework is applied on data covering the UK and Ireland at 250 m resolu-tion, evaluating a variety of indicators including mean patch size, edge density and Shannon diversity atwindow sizes ranging from 2.5 km to 80 km. The required computation time is in the order of secondsto minutes on a regular personal computer. The framework supports rapid development of indicatorsrequiring little coding. The computational efficiency means that methods can be integrated in itera-tive computational tasks such as multi-scale analysis, optimization, sensitivity analysis and simulationmodelling. © 2015 Elsevier B.V. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80115
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Department of Civil and Environmental Engineering, University of Surrey, Guildford, United Kingdom
Recommended Citation:
Hagen-Zanker A. A computational framework for generalized moving windows and itsapplication to landscape pattern analysis[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,44