2011 Fiscal Year Final Research Report
Study on the Vegetation Mapping by Object Based Classification of ALOS Satellite Images
| Project/Area Number |
21500997
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Geography
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| Research Institution | Tottori University |
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Principal Investigator |
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| Project Period (FY) |
2009 – 2011
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| Keywords | ALOS画像 / オブジェクト分類 / 植生図 |
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| Research Abstract |
This study tried to evaluate the possibility of ALOS satellite images by way of the accuracy assessment for the results of object based image classification method. For this purpose, AVNIR-2, PRISM and PALSAR sensor images have been utilized for the classification of vegetation and land use in both Japan and South eastern counties. The results show that vegetation and land use objects can be detected with high accuracy by 10m spatial resolution, and this method can be allied for the thematic mapping of vegetation and agricultural land use in Asian countries.
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Research Products
(5 results)
