Remote sensing of sea grass coverage using Four-Flux Model with Shallow Water Reflectance

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  • A203 反射率を考慮した4流束モデルによる藻場リモートセンシング法の開発
  • ハンシャリツ オ コウリョ シタ 4 リュウソク モデル ニ ヨル モバ リモートセンシングホウ ノ カイハツ

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Abstract

Accurate information on sea grass distribution is an essential prerequisite for managing sea grass resources in coastal area. In this study, a method to estimate sea grass mapping using high-resolution images such as satellite data or aerial photograph for is developed based on an inversion of reflectance estimation at seabed. The mapping method simulates parallel, radiative light transfer in the water and at sea grass approximated by using principles of geometric-optics transportation. To examine validity proposed of model, field surveys along sea grass meadows were conducted to obtain actual sea grass coverage. The estimated sea grass coverage from the image shows nice agreement with the observed data.

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