DSpace Collection:https://repository.kopri.re.kr/handle/201206/52932026-04-16T01:41:17Z2026-04-16T01:41:17ZOptimum Utilization of Satellite Data for Polar ResearchKim, Hyun-cheolhttps://repository.kopri.re.kr/handle/201206/88262022-03-24T07:12:50Z2015-03-27T00:00:00ZTitle: Optimum Utilization of Satellite Data for Polar Research
Authors: Kim, Hyun-cheol2015-03-27T00:00:00ZHigh Resolution Ocean Color Products Estimation in Fjord of Svalbard, Arctic Sea using Landsat-8 OLIKim, Sang-IlHyun, Chang-UkKim, Hyun-cheolhttps://repository.kopri.re.kr/handle/201206/65792022-03-24T07:11:04Z2014-01-01T00:00:00ZTitle: High Resolution Ocean Color Products Estimation in Fjord of Svalbard, Arctic Sea using Landsat-8 OLI
Authors: Kim, Sang-Il; Hyun, Chang-Uk; Kim, Hyun-cheol
Abstract: Ocean Color products have been used to understand marine ecosystem. In high latitude region, ice melting optically influences the ocean color products. In this study, we assessed optical properties in fjord around Svalbard Arctic sea, and estimated distribution of chlorophyll-a and suspended sediment by using high resolution satellite data, Landsat-8 OLI (Operational Land Imager). To estimate chlorophyll-a and suspended sediment concentrations, various regression models were tested with different band ratio. The regression models were not shown high correlation because of temporal difference between satellite data and in-situ data. However, model-derived distribution of ocean color products from OLI showed a possibility that fjord and coastal areas around Arctic Sea can be monitored with high resolution satellite data. To understand climate change pattern around Arctic Sea, we need to understand ice meting influences on marine ecosystem change. Results of this study will be used to high resolution monitoring of ice melting and its influences on the marine ecosystem change at high latitude. KOPRI (Korea Polar Research Institute) has been operated the Dasan station on Svalbard since 2002, and study was conducted using Arctic station.2014-01-01T00:00:00ZVegetation abundance on the Barton Peninsula, Antarctica: Estimation from highresolutionsatellite images신정일Hong, Soon GyuKim, Sang-IlKim, Hyun-cheolhttps://repository.kopri.re.kr/handle/201206/72792022-03-24T07:12:18Z2014-01-01T00:00:00ZTitle: Vegetation abundance on the Barton Peninsula, Antarctica: Estimation from highresolutionsatellite images
Authors: 신정일; Hong, Soon Gyu; Kim, Sang-Il; Kim, Hyun-cheol
Abstract: Polar biodiversity should be monitored as an indicator of climate change. Biodiversity is mainly observed by field survey although this is very limited in broad inaccessible polar regions. Satellite imagery may provide valuable data with less bias, although spatial, spectral, and temporal resolutions are limited for analyzing biodiversity. The present study has two objectives. The first is constructing a first-ever vegetation map of the entire Barton Peninsula, Antarctica. The second is developing a monitoring method for long-term variation of vegetation, based on satellite images. Dominant mosses and lichens are distributed in small and sparse patches, which are limited to analysis using high-resolution satellite images. A sub-pixel classification method, spectral mixture analysis (SMA), is applied to overcome limited spatial resolution. As a result, vegetation shows high abundance along the southeastern shore and low-to-medium abundance in the nearly snow-free inland area. Even though spatial patterns of vegetation were almost invariant over six years, there was interannual variation in abundance aspects because of meteorological conditions. Therefore, extensive and long-term monitoring is needed for aspects of distribution and abundance. The present results can be used to design field surveys and monitor long-term variation as elementary data.2014-01-01T00:00:00ZVerification of CDOM Algorithms Based on Ocean Color Remote Sensing Data in the East Sea신우철강성원김윤정Park, Mi OkKim, Hyun-cheol손영백노태근https://repository.kopri.re.kr/handle/201206/65772022-03-24T07:13:55Z2012-01-01T00:00:00ZTitle: Verification of CDOM Algorithms Based on Ocean Color Remote Sensing Data in the East Sea
Authors: 신우철; 강성원; 김윤정; Park, Mi Ok; Kim, Hyun-cheol; 손영백; 노태근
Abstract: 동해에서 CDOM의 광학적 특성과 순환을 이해하기 위하여 MODIS의 원격탐사반사도(Rrs)를 이용한 기존의 CDOM 흡광계수 추정 알고리즘들(Semi-Algorithms (3개), Empirical-Algorithms (3개))을 현장관측 자료와 비교 평가하였다. 2009년부터 2011년까지 총 7번의 현장 관측 자료는 연안 해역에서부터 외양의 다양한 해양환경을 포함하고 있다. 본 연구 결과, 동해에서 Quasi-Analytical Algorithm (QAA_v5) 이 현장 aCDOM(412) 값을 가장 유사하게 추정하였다. Quasi-Analytical Algorithm (QAA_v5) 알고리즘을 기준으로 Semi-analytical 알고리즘은 과소추정하는 경향을 보였다. 그러나 Empirical 알고리즘은 과대추정하는 경향을 보였다. aCDOM(412)의 값이 높은 곳에서 위성관측 엽록소-a (Chlorophyll-a)의 값도 높았다. 이 결과는 CDOM이 엽록소-a의 함량 추정에 영향을 줄 수 있다는 가능성을 제시한다. 본 연구 결과는 세계최초 정지궤도 해색위성인 GOCI의 CDOM 알고리즘을 개선하는데 기초자료로 활용될 것이다.총 7번의 현장 관측 자료는 연안 해역에서부터 외양의 다양한 해양환경을 포함하고 있다. 본 연구 결과, 동해에서 Quasi-Analytical Algorithm (QAA_v5) 이 현장 aCDOM(412) 값을 가장 유사하게 추정하였다. Quasi-Analytical Algorithm (QAA_v5) 알고리즘을 기준으로 Semi-analytical 알고리즘은 과소추정하는 경향을 보였다. 그러나 Empirical 알고리즘은 과대추정하는 경향을 보였다. aCDOM(412)의 값이 높은 곳에서 위성관측 엽록소-a (Chlorophyll-a)의 값도 높았다. 이 결과는 CDOM이 엽록소-a의 함량 추정에 영향을 줄 수 있다는 가능성을 제시한다. 본 연구 결과는 세계최초 정지궤도 해색위성인 GOCI의 CDOM 알고리즘을 개선하는데 기초자료로 활용될 것이다.2012-01-01T00:00:00Z