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http://dx.doi.org/10.7780/kjrs.2017.33.2.11

Determination of dynamic threshold for sea-ice detection through relationship between 11 µm brightness temperature and 11-12 µm brightness temperature difference  

Jin, Donghyun (Division of Earth Environmental System Science(Major of Spatial Information Engineering), Pukyong National University)
Lee, Kyeong-Sang (Division of Earth Environmental System Science(Major of Spatial Information Engineering), Pukyong National University)
Choi, Sungwon (Division of Earth Environmental System Science(Major of Spatial Information Engineering), Pukyong National University)
Seo, Minji (Division of Earth Environmental System Science(Major of Spatial Information Engineering), Pukyong National University)
Lee, Darae (Division of Earth Environmental System Science(Major of Spatial Information Engineering), Pukyong National University)
Kwon, Chaeyoung (Division of Earth Environmental System Science(Major of Spatial Information Engineering), Pukyong National University)
Kim, Honghee (Division of Earth Environmental System Science(Major of Spatial Information Engineering), Pukyong National University)
Lee, Eunkyung (Division of Earth Environmental System Science(Major of Spatial Information Engineering), Pukyong National University)
Han, Kyung-Soo (Division of Earth Environmental System Science(Major of Spatial Information Engineering), Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.33, no.2, 2017 , pp. 243-248 More about this Journal
Abstract
Sea ice which is an important component of the global climate system is being actively detected by satellite because it have been distributed to polar and high-latitude region. and the sea ice detection method using satellite uses reflectance and temperature data. the sea ice detection method of Moderate-Resolution Imaging Spectroradiometer (MODIS), which is a technique utilizing Ice Surface Temperature (IST) have been utilized by many studies. In this study, we propose a simple and effective method of sea ice detection using the dynamic threshold technique with no IST calculation process. In order to specify the dynamic threshold, pixels with freezing point of MODIS IST of 273.0 K or less were extracted. For the extracted pixels, we analyzed the relationship between MODIS IST, MODIS $11{\mu}m$ channel brightness temperature($T_{11{\mu}m}$) and Brightness Temperature Difference ($BTD:T_{11{\mu}m}-T_{12{\mu}m}$). As a result of the analysis, the relationship between the three values showed a linear characteristic and the threshold value was designated by using this. In the case ofsea ice detection, if $T_{11{\mu}m}$ is below the specified threshold value, it is detected as sea ice on clear sky. And in order to estimate the performance of the proposed sea ice detection method, the accuracy was analyzed using MODIS Sea ice extent and then validation accuracy was higher than 99% in Producer Accuracy (PA).
Keywords
Sea ice, MODIS, Ice Surface Temperature;
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  • Reference
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