Linganisha mbinu

	Vipimo vya Muundo wa Mazingira	Uchambuzi wa Picha Kulingana na Vipengele (OBIA)
Nyanja	Uchanganuzi wa Kimaeneo	Utambuzi wa Mbali
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1988	2010
Mwanzilishi	R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)	Thomas Blaschke
Aina	Quantitative landscape pattern description	Image segmentation and classification pipeline
Chanzo asilia	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.
Majina mbadala	landscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri	Geographic Object-Based Image Analysis, GEOBIA, Object-Oriented Image Analysis, Nesne Tabanlı Görüntü Analizi
Zinazohusiana	3	3
Muhtasari	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.