Full text: Actes du Symposium International de la Commission VII de la Société Internationale de Photogrammétrie et Télédétection (Volume 1)

Symp. 
sat 
A 
Memo., 
\FGL-TR- 
MONITORING OF WATER CHARACTERISTIC USING THE SYNCHRONOUS 
OBSERVATION DATA OF LANDSAT AND NOAA 
by 
HIROAKI OCHIAI 
Oceanography department 
Toba Merchant Marine College 
1-1 ikegami-Cho, Toba-Shi, 
Mie-Ken, Japan 517 
Abstract 
Using the MSS data obtained from Landsat and AVHRR data obtained 
from NOAA-6 due to the synchronous observation around Japan, the monitoring 
of water characteristic is studied. Although, the the observation time of 
Landsat and NOAA-6 is not thesame, the time difference is not so much and 
it is considered as the boundary of synchronous observation in the study 
of marine observation comparing with observation by ship. 
As the technique of analysis, the digital processing of Landsat MSS 
data and NOAA-6 AVHRR data are tried after the pre-processing such as 
geometric correction and the superimposed imagery consisted by classified 
imagery of Landsat MSS and SST contour map extracted from NOAA-6 AVHRR 
is carried out. 
In case of the Seto Inland Sea, one the the most polluted water area 
in Japan, the water caracteristic is well extracted from the data obtained 
on November 15, 1980. Normally, Landsat MSS data is used for the estimation 
of water characteristic from the distribution pattern of turbid water 
especially in coastal area and the SST in turbid water area is considered as 
warmer than not polluted water area through the year. 
But from the result of this study, the SST in almost area of turbid 
water area is detected cooler than not so polluted water area in Kii Channel 
and central Harimanada, eastern part of Seto Inland Sea and it is considered 
effect of branch current of Kuroshio Current. 
From this point of view, the multi temporal synchronous observation of 
Landsat and NOAA would bring us more effective information for marine 
observation in coastal area and it means the effectiveness of multi satellite 
remote sensing in future. 
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