냉수대지역에서의 Terascan 해수면온도 산출시 구름판별 방법의 오차 완화

Title
냉수대지역에서의 Terascan 해수면온도 산출시 구름판별 방법의 오차 완화
Alternative Title
ERROR MITIGATION OF CLOUD DETECTION FOR TERASCAN SEA SURFACE TEMPERATURE IN COLD WATER ZONE
Author(s)
윤석; 양현
KIOST Author(s)
Yang, Hyun(양현)
Publication Year
2017-05-17
Abstract
In this study, a cloud detection method was proposed to mitigate errors occurred when the TeraScan is employed for the sea surface temperature calculation from NOAA/AVHRR data in cold water zone such as upwelling area. With the TeraScan, the cloud detection during day-time and night-time is performed in different ways from one to the other: with the difference between adjacent pixel values using band 2 and band 4 for day-time with the difference between adjacent pixel values using band 3 and band 4 for night-time. With these, a cold water mass might be recognized for a cloud cover and discarded from the calculation simply because it has a strong gradation in its marginal part. With the newly proposed method, finding an optimum threshold through repeated test calculations, the cold water zone which may be excluded from the SST calculation in case of using conventional TeraScan, is to be recognized as water mass and included in the calculation ofSST. The result seems to be very satisfactory for the effective mitigation of errors in cloud detections occurring during SST calculation by TeraScan in cold water zonee cloud detection during day-time and night-time is performed in different ways from one to the other: with the difference between adjacent pixel values using band 2 and band 4 for day-time with the difference between adjacent pixel values using band 3 and band 4 for night-time. With these, a cold water mass might be recognized for a cloud cover and discarded from the calculation simply because it has a strong gradation in its marginal part. With the newly proposed method, finding an optimum threshold through repeated test calculations, the cold water zone which may be excluded from the SST calculation in case of using conventional TeraScan, is to be recognized as water mass and included in the calculation ofSST. The result seems to be very satisfactory for the effective mitigation of errors in cloud detections occurring during SST calculation by TeraScan in cold water zone
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/23975
Bibliographic Citation
International Symposium on Remote Sensing 2017, pp.800 - 801, 2017
Publisher
Remote
Type
Conference
Language
English
Publisher
Remote
Related Researcher
Research Interests

Ocean Satellite ICT Convergence,Artificial Intelligence/Deep Learning,Ocean Big Data,해양 위성 ICT 융합,인공지능/딥러닝,해양 빅데이터

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