Water turbidity parameters derived form satellite imagery

Chi-Kuei Wang, Che Chuan Kang

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

Abstract

Bathymetry LIDAR technology has proved to be cost-effective for mapping coastal waters if the system operated in a favorable situation. Water turbidity is one the most significant factors that affects the performance of the bathymetric system. However, it is rarely monitored regularly. Knowledge of water turbidity in coastal water, such as seasonal variations and spatial extend, would be beneficial for planning a bathymetric LIDAR mission. In this paper, Aqua MODIS imageries and in-situ inherent optical properties were used to derive water turbidity parameters of coastal water (water depth less than 30 m) in Taiwan with the secchi depth ranging from 5 m to 20 m.

Original languageEnglish
Title of host publicationAmerican Society for Photogrammetry and Remote Sensing - American Society for Photogrammetry and Remote Sensing Annual Conf. 2008 - Bridging the Horizons
Subtitle of host publicationNew Frontiers in Geospatial Collaboration
Pages737-744
Number of pages8
Publication statusPublished - 2008 Dec 1
EventAmerican Society for Photogrammetry and Remote Sensing Annual Conference 2008 - Bridging the Horizons: New Frontiers in Geospatial Collaboration - Portland, OR, United States
Duration: 2008 Apr 282008 May 2

Publication series

NameAmerican Society for Photogrammetry and Remote Sensing - ASPRS Annual Conference 2008 - Bridging the Horizons: New Frontiers in Geospatial Collaboration
Volume2

Other

OtherAmerican Society for Photogrammetry and Remote Sensing Annual Conference 2008 - Bridging the Horizons: New Frontiers in Geospatial Collaboration
CountryUnited States
CityPortland, OR
Period08-04-2808-05-02

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computers in Earth Sciences

Fingerprint Dive into the research topics of 'Water turbidity parameters derived form satellite imagery'. Together they form a unique fingerprint.

Cite this