Journal of the Japanese Institute of Landscape Architects
Online ISSN : 2185-3053
Print ISSN : 0387-7248
ISSN-L : 0387-7248
Fundamental Study on Detection of Greenery Occupation by Satellite Image Data
Katunori FURUYAMasashi AMANOMichiyasu AKASAKARyutarou TATEISHIMasaaki YuiHiroshi ISHII
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1989 Volume 53 Issue 5 Pages 221-226

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Abstract
Land cover classifications using LANDSAT MSS, LANDSAT TM, SPOT HRV and COSMOS KEA1000 were carried out in the study. The categories of classification were Water, Urban, Forest and Paddy find. Firstly, the results of land cover classification were compared with check data of land cover. Secondly, the results of land cover classification using LANDSAT TM data were compared with numerical land use data.
The following results were obtained.
(1) LANDSAT TM data had the best land cover classification accuracy. The classification accurady of forest was over 90%.
(2) The results of classification using satellite data were differ from land use. Land cover classification using satellite image data is useful for investigation of environmetal and detection of greenery occupation.
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© Japanese Institute of Landscape Architecture
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