Abstract

This study aims to examine if the inversion method using hyperspectral data is applicable in Japan. Nowadays, overseas researchers are mainly applied an inversion method for accurately estimating water depth. It is able to gain not only water depth, but also benthic spectral reflection and inherent optical properties (IOPs) at the same time, based on physics-based radiative transfer theory for hyperspectral data. It is highly significant to understand the possibility to develop the application in future for coastal zone of main island, which is a common water quality in Japan, but there is not any case study applied this method in Japan. The study site of Yamada bay in Iwate Prefecture is located in northeast of Japan. An existed analytical model was optimized for mapping water depth in Yamada bay using airborne hyperspectral image and ground survey data which were simultaneously acquired in December, 2015. The retrieved remote-sensing reflectance (R<sub>rs</sub>) is basically qualitatively appropriate result. However, when compared with all ground survey points, the retrieved water depth showed low correlation, even though ground points which are selected sand bottom indicates high relationship. Overall, we could understand the inversion method is applicable in Japan. However, it needs to challenge to improve solving error-caused problems.

Highlights

  • Bathymetric features are often changed over time from the water movement

  • The data was applied an atmospheric correction with Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercube (FLAASH), which is a MODTRAN-4 based approach that is available in ENVI software

  • This study investigated to map water depth with hyperspectral data by using inversion method leading from semi-analytical model developed by Lee et al (1998, 1999)

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Summary

Introduction

Bathymetric features are often changed over time from the water movement. When the Great East Japan earthquake triggered devastative tsunami in northeast Japan on March 11, 2011, the feature of sea bottom were extremely changed by huge amount of large debris and big water energy movement. The latest technology in bathymetry, it is measurable in spatial and accurate by a narrow multi beam and airborne lidar bathymetry (ALB). The cost performance is high, so that it is not possible to widely measure. It is getting popular to use satellite-derived bathymetry in the aspect of cost performance and wide acquisition, even though the accuracy is, declined than the above technologies. The satellitederived bathymetry is meant to be mostly multi-spectral satellite data, which is required a ground survey and limited only applied in homogeneous water quality and bottom type. Hyperspectral data is able to gain water depth, and benthic spectral reflection and inherent optical properties (IOPs) at the same time, based on spectral reflection and radiative transfer theory by hyperspectral data

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