Using MODIS to estimate water turbidity in Taiwan

Chi-Kuei Wang, Che Chuan Kang

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


Bathymetric lidar technology can collect both under- and above- water elevation in coastal area with short turn around time. The underwater efficiency is significantly affected by water turbidity. However, a water turbidity dataset with extensive temporal and spatial coverage is rarely found, both in coastal are and open ocean, which is much needed by field operation. In this paper, we proposed a procedure for estimating water turbidity from MODIS data by incorporating in-situ observations, including absorption coefficient, beam attenuation coefficient, backscattering coefficient, and secchi depth. The error rate of the resultant water turbidity, reported in secchi depth, is found to be ±30% for 67% of the in-situ observations, and ±50% for 87% of the in-situ observations.

Original languageEnglish
Title of host publication29th Asian Conference on Remote Sensing 2008, ACRS 2008
Number of pages6
Publication statusPublished - 2008
Event29th Asian Conference on Remote Sensing 2008, ACRS 2008 - Colombo, Sri Lanka
Duration: 2008 Nov 102008 Nov 14


Other29th Asian Conference on Remote Sensing 2008, ACRS 2008
Country/TerritorySri Lanka

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications


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