Mapping of Vegetation Cover using Segment Based Classification of IKONOS Imagery
نویسندگان
چکیده
منابع مشابه
Object-based spatial classification of forest vegetation with IKONOS imagery
Object-based image analysis (OBIA) is employed to classify forest types, including deciduous, evergreen and mixed forests, in a U.S. National Park unit using very high spatial resolution (VHR) IKONOS satellite imagery. This research investigates the effect of scale on segmentation quality and object-based forest type classification. Average local variance and spatial autocorrelation analyses ar...
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Object-oriented method for urban vegetation mapping using IKONOS imagery Xiuying Zhang ab; Xuezhi Feng b; Hong Jiang ac a International Institute for Earth System Science, Nanjing University, Nanjing, China b School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China c International Centre of Spatial Ecology and Ecosystem Ecology, Zhejiang Forestry University, Hangzhou,...
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Effective assessment of biodiversity in cities requires detailed vegetation maps.To date, most remote sensing of urban vegetation has focused on thematically coarse landcover products. Detailed habitat maps are created by manual interpretation of aerialphotographs, but this is time consuming and costly at large scale. To address this issue, wetested the effectiveness of object-based classificat...
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The management of vegetated areas by urban planners relies on detailed and updated knowledge of their nature and distribution. Manual photo-interpretation of aerial photographs is efficient, but is time consuming. Image segmentation and object-oriented classifications provide a tool to automatically delineate and label vegetation units. Object-oriented techniques were tested with a very high-re...
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Introduction: Having accurate and up-to-date information on the status of land use and land cover change is a key point to protecting natural resources, sustainable agriculture management and urban development. Preparing the land cover and land use maps with traditional methods is usually time and cost consuming. Nowadays satellite imagery provides the possibility to prepare these maps in less ...
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ژورنال
عنوان ژورنال: The Korean Journal of Ecology
سال: 2003
ISSN: 1225-0317
DOI: 10.5141/jefb.2003.26.2.075