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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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2011: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2010: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2009: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | ALOS画像 / オブジェクト分類 / 植生図 / 植生・土地利用分類図 / 合成開口レーダ画像 / リモートセンシング / 画像 / センサーフュージョン / 水田抽出 / インドネシア・ジャワ島 / オブジェクトベース分類 / 植生・土地利用 |
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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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Report
(4 results)
Research Products
(11 results)
