Mapping Functional Urban Green Types Using High Resolution Remote Sensing Data
نویسندگان
چکیده
منابع مشابه
Flood Damage Modeling on the Basis of Urban Structure Mapping Using High-Resolution Remote Sensing Data
The modeling of flood damage is an important component for risk analyses, which are the basis for risk-oriented flood management, risk mapping, and financial appraisals. An automatic urban structure type mapping approach was applied on a land use/land cover classification generated from multispectral Ikonos data and LiDAR (Light Detection And Ranging) data in order to provide spatially detailed...
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Recent sensor development including high spatial resolution spaceborne systems like IKONOS as well as hyperspectral sensors like AVIRIS have the potential for more detailed and accurate mapping of urban land cover and land use. However, the new spaceborne sensors are limited in their spectral resolution with just four multispectral bands and few studies have focused on the issues of spectral pr...
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The invasions of non-native species of vegetation pose significant threats to natural environments at all geographical scales. Saltcedar has been commonly treated as one of the several most threatening invasive species in U.S. in the next ten years. The spatial extent and density of infestation by saltcedar in the Rio Grande floodplain has been poorly understood in the past. Remote sensing prov...
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The study involves segmentation of the image using the three segmentation modules of three software namely ERDAS Imagine, ENVI and eCognition to extract building features. The best parameters for segmenting buildings have been established. New method of evaluation has been presented for evaluating segmentation quality. The results of three segmentation modules are assessed using the proposed ev...
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ژورنال
عنوان ژورنال: Sustainability
سال: 2020
ISSN: 2071-1050
DOI: 10.3390/su12052144