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.
|主出版物標題||29th Asian Conference on Remote Sensing 2008, ACRS 2008|
|出版狀態||Published - 2008|
|事件||29th Asian Conference on Remote Sensing 2008, ACRS 2008 - Colombo, Sri Lanka|
持續時間: 2008 11月 10 → 2008 11月 14
|Other||29th Asian Conference on Remote Sensing 2008, ACRS 2008|
|期間||08-11-10 → 08-11-14|
All Science Journal Classification (ASJC) codes