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• W2623644842 abstract "Land management and planning is crucial for present and future use of land and the sustainability of land resources. Physical, biological and cultural characteristics of land can be used to define Land Management Units (LMUs) that aid in decision making for managing land and communicating information between different research and application domains. This study aims to describe the classification of ecologically relevant land units that are suitable for land management, planning and conservation purposes. Relying on the idea of strong correlation between landform and potential landcover, a conceptual model for creating Land Management Units (LMUs) from topographic data and biophysical information is presented. The proposed method employs a multi-level object-based classification of Digital Terrain Models (DTMs) to derive landform units. The sensitivity of landform units to changes in segmentation scale is examined, and the outcome of the landform classification is evaluated. Landform classes are then aggregated with landcover information to produce ecologically relevant landform/landcover assemblages. These conceptual units that constitute a framework of connected entities are finally enriched given available socio-economic information e.g., land use, ownership, protection status, etc. to generate LMUs. LMUs attached to a geographic database enable the retrieval of information at various levels to support decision making for land management at various scales. LMUs that are created present a basis for conservation and management in a biodiverse area in the Black Sea region of Turkey." @default.
• W2623644842 created "2017-06-15" @default.
• W2623644842 creator A5029593744 @default.
• W2623644842 date "2017-06-10" @default.
• W2623644842 modified "2023-10-06" @default.
• W2623644842 title "A Conceptual Model for Delineating Land Management Units (LMUs) Using Geographical Object-Based Image Analysis" @default.
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• W2623644842 doi "https://doi.org/10.3390/ijgi6060170" @default.
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