Identification and Quantification of Tree Species in Open Mixed Forests using High Resolution QuickBird Satellite Imagery
نویسندگان
چکیده
منابع مشابه
Object-Based Classification of UltraCamD Imagery for Identification of Tree Species in the Mixed Planted Forest
This study is a contribution to assess the high resolution digital aerial imagery for semi-automatic analysis of tree species identification. To maximize the benefit of such data, the object-based classification was conducted in a mixed forest plantation. Two subsets of an UltraCam D image were geometrically corrected using aero-triangulation method. Some appropriate transformations were perfor...
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Efficient forest management requires detailed knowledge of forest stands, including species information and individual tree parameters. Remote sensing data are increasingly being used to investigate forest classification at both coarse and fine levels. In this paper, we first examined the capability of QuickBird multispectral imagery for species level forest classification using eCognition soft...
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this study is a contribution to assess the high resolution digital aerial imagery for semi-automatic analysis of tree species identification. to maximize the benefit of such data, the object-based classification was conducted in a mixed forest plantation. two subsets of an ultracam d image were geometrically corrected using aero-triangulation method. some appropriate transformations were perfor...
متن کاملAn improved geopositioning model of QuickBird high resolution satellite imagery by compensating spatial correlated errors
Article history: Received 15 April 2013 Received in revised form 6 June 2014 Accepted 20 June 2014 Available online 16 July 2014
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We assessed the potential of multi-spectral GeoEye imagery for biodiversity assessment in an urban context in Bangalore, India. Twenty one grids of 150 by 150 m were randomly located in the city center and all tree species within these grids mapped in the field. The six most common species, collectively representing 43% of the total trees sampled, were selected for mapping using pixel-based and...
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ژورنال
عنوان ژورنال: Journal of Tropical Forestry and Environment
سال: 2015
ISSN: 2235-9362,2235-9370
DOI: 10.31357/jtfe.v5i2.2658