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A Conceptual Model for Delineating Land Management Units (LMUs) Using Geographical Object-Based Image Analysis

机译:使用基于地理对象的图像分析来划定土地管理单元(LMU)的概念模型

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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.
机译:土地管理和规划对于土地的当前和未来使用以及土地资源的可持续性至关重要。土地的物理,生物学和文化特征可用于定义土地管理单位(LMU),以帮助管理土地和在不同的研究领域之间进行信息进行决策。这项研究旨在描述适合土地管理,规划和保护目的的生态相关土地单位的分类。依靠地形和潜在地覆盖地面之间的强烈相关性的想法,提出了一种创建地形数据和生物物理信息的土地管理单位(LMU)的概念模型。所提出的方法采用基于多级对象的数字地形模型(DTM)的分类来得出地形单元。检查地面单位对分割量表变化的敏感性,并评估了地形分类的结果。然后将地面类别汇总到陆文覆盖信息中,以生成与生态相关的地形/土地覆盖集合。鉴于可用的社会经济信息,例如土地使用,所有权,保护状态等以生成LMU,这些概念单位最终被丰富了连接实体的框架。地理数据库附加的LMU可以在各个层面上检索信息,以支持各种规模的土地管理决策。创建的LMU为土耳其黑海地区生物多样性地区的保护和管理提供了基础。

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