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Change Detection×Landvormpatroonmetrieken×
VakgebiedRemote sensingRuimtelijke analyse
FamilieProcess / pipelineProcess / pipeline
Jaar van ontstaan19891988
GrondleggerAshbindu SinghR. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)
TypeMultitemporal image comparison pipelineQuantitative landscape pattern description
Oorspronkelijke bronSingh, A. (1989). Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10(6), 989–1003. DOI ↗O'Neill, R. V., et al. (1988). Indices of landscape pattern. Landscape Ecology, 1(3), 153–162. DOI ↗
AliassenMultitemporal Image Analysis, Land-Cover Change Analysis, Bitemporal Change Analysis, Değişim Tespitilandscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri
Verwant23
SamenvattingChange detection is a remote sensing analysis pipeline that identifies differences in land cover or land use between two or more images acquired at different times over the same geographic area. Systematically reviewed and classified by Ashbindu Singh in 1989, the framework encompasses image differencing, post-classification comparison, vegetation index differencing, and principal component analysis, and remains the canonical reference for evaluating which technique best suits a given application.Landscape metrics are quantitative indices that describe the composition and spatial configuration of a categorical map — typically land cover — at the patch, class, and whole-landscape levels. Developed in landscape ecology (O'Neill and colleagues, 1988) and made widely usable by the FRAGSTATS software, they turn maps into numbers like patch density, edge density, fragmentation, diversity, and connectivity for ecological, planning, and change analysis.
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ScholarGateMethoden vergelijken: Change Detection · Landscape Metrics. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare