Estimation of Várzea Area in the Amazon Using Local Fractal Dimension on JERS-1 SAR Image Data

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  • 局所フラクタル次元を考慮したアマゾン川中下流域におけるヴァルゼア域の推定
  • キョクショ フラクタルジゲン オ コウリョ シタ アマゾンガワチュウカリュウイ
  • Estimation of Várzea Area in the Amazon Using Local Fractal Dimension on JERS-1 SAR Image Data

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Abstract

This paper presents the results of using local fractal dimension to estimate the flood plain in the Amazon on JERS-1 SAR (Synthetic Aperture Radar) image data. The change of water level reaches about 10 meters in the middle and lower Amazon, and then large area may come under water at high levels. The area, called várzea, has a lot of relation to human activities. Study area was selected at the west of Parintins-city, Brazil and a case study was conducted.<br>To estimate the várzea area, a new analysis method on JERS-1 SAR image data is proposed. The method consists of three steps. First step is the estimation of three classes. They are the water areas, forest areas and intermediate class between two classes. Second step is the estimation of mixel (mixed pixel) by means of edge information. Third step is the extraction of the várzea area and other classes from intermediate class using the local fractal dimension. Estimation of the class is carried out with the fuzzy estimation method. As a result, it is confirmed that the estimation result for the proposed method matches the knowledge obtained in the ground survey. Therefore, it can be concluded that the proposed method is the effective and practical technique to estimate the várzea area in the Amazon on JERS-1 SAR image.

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