Journal of the Visualization Society of Japan
Online ISSN : 1884-037X
Print ISSN : 0916-4731
ISSN-L : 0916-4731
Remote sensing of sea grass coverage using Four-Flux Model with Shallow Water Reflectance
Nobuhito MORIJunichi NINOMIYASusumu YAMOCHI
Author information
JOURNAL FREE ACCESS

2006 Volume 26 Issue Supplement2 Pages 175-178

Details
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.
Content from these authors
© The Visualization Society of Japan
Previous article Next article
feedback
Top