Comparer des méthodes

	Métriques de motif paysager	Analyse d'images basée sur les objets (OBIA)
Domaine	Analyse spatiale	Télédétection
Famille	Process / pipeline	Process / pipeline
Année d'origine	1988	2010
Auteur d'origine	R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)	Thomas Blaschke
Type	Quantitative landscape pattern description	Image segmentation and classification pipeline
Source fondatrice	O'Neill, R. V., et al. (1988). Indices of landscape pattern. Landscape Ecology, 1(3), 153–162.	Blaschke, T. (2010). Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1), 2–16.
Alias	landscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri	Geographic Object-Based Image Analysis, GEOBIA, Object-Oriented Image Analysis, Nesne Tabanlı Görüntü Analizi
Apparentées	3	3
Résumé	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.	Object-Based Image Analysis (OBIA) is a remote sensing image processing paradigm that groups pixels into meaningful image objects before classification, rather than analysing each pixel independently. Formally articulated and consolidated by Thomas Blaschke in his landmark 2010 ISPRS review, OBIA draws on multiresolution segmentation algorithms and combines spectral, spatial, contextual, and textural object attributes to produce semantically rich land-cover maps from high-resolution imagery.