Estimation of river discharges with remotely sensed imagery

Kazuo Oki, Kohei Hashimoto, Jiro Kakehashi, Panya Polsan, Shinichiro Nakamura, Daisuke Komori, Taikan Oki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The transport of the sediment, carried in suspension by water, is central to hydrology and the ecological functioning of river floodplains and deltas. River discharge estimation is useful for demonstrating this information. In this study, we extracted MODIS reflectance values from a pixel near the river mouth after carrying out the simple atmospheric correction method, then applied single regression analysis to reflectance values and the in situ discharge of Monobe River in Kochi prefecture, Japan. MODIS images and in situ data were taken from January through December, 2004. As a result, Monobe River, robustly positive relationships between the discharges observed in situ and remotely sensed MODIS reflectance data in the region of river mouth were found throughout the year. In addition, we estimated the monthly discharge from the MODIS reflectance with the regression formula. As a result, in situ average discharge was well estimated. In the near future, we will apply the proposed method to Mun river in Thai land.

Original languageEnglish
Title of host publication32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Pages2856-2859
Number of pages4
Publication statusPublished - 2011 Dec 1
Externally publishedYes
Event32nd Asian Conference on Remote Sensing 2011, ACRS 2011 - Tapei, Taiwan, Province of China
Duration: 2011 Oct 32011 Oct 7

Publication series

Name32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Volume4

Other

Other32nd Asian Conference on Remote Sensing 2011, ACRS 2011
CountryTaiwan, Province of China
CityTapei
Period11/10/311/10/7

Keywords

  • Ecology
  • Hydrology
  • MODIS
  • River floodplain
  • Suspended sediment concentration

ASJC Scopus subject areas

  • Computer Networks and Communications

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