• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.201-203
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• 2003

Two MODIS instruments on board the Terra and Aqua Satellites are operational for global remote sensing of the land, ocean and atmosphere. Atmospheric sounding data with a high spatial resolution from MODIS will provide a wealth of useful information. The vertical air temperature and moisture data were retrieved using the MODIS data, and compared with the radiosonde data obtained in the Korean Peninsula. The correlation coefficient are 0.99 and 0.89 for air temperature and moisture cases, respectively. Air temperature data were relatively good agreement, but the moisture data from MODIS were underestimated.

• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.151-154
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• 2009

MODIS Aqua에 의한 한반도 주변 해역의 관측은 엽록소의 변동을 관측하여 해양환경변화를 관측하는데 주로 연구되었다. 그러나 황해는 Case II 해역으로 해양의 엽록소 관측에 오차가 크기 때문에 동해와 남해, 동중국해역을 관측한 연구가 발표되어 왔다. 특히 적조와 같은 이상변동을 관측하는데 해색자료의 활용은 매우 활발한 연구가 이루어졌다. 하지만 K490(Diffuse attenuation coefficient for downwelling irradiance at 490nm)은 OCTS, SeaWiFS, MODIS, MERIS 등의 해색자료에 의해 많은 자료가 생산되고 있으나 이를 이용한 한반도 주변 해역의 해양환경변동에 관한 연구는 부족한 실정이다. 본 연구에서는 2008년 한반도 주변해역에서 관측된 MODIS 자료를 처리하여 K490에 의한 시-공간적 변화를 분석하였다. 특히 K490에 의한 월 변화(monthly)와 통계처리 결과를 분석하여 기후변화의 주요 분석인자인 해양의 일차생산력을 판단하는데 중요한 영향을 미치는 K490의 공간 특성을 제시하였다. 한반도 주변 해역의 K490에 의한 시-공간적 특성은 육상의 주요 하천에서 기인하는 부유사와 서남해역의 재부유 물질에 의한 영향이 시-공간적으로 뚜렷하게 나타나는 것을 파악할 수 있었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.251-251
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• 2016

인공위성을 이용한 가뭄연구에는 전지구적으로 운용되는 GPM (Global Precipitation Measurement) 위성, AQUA/TERRA 위성의 MODIS (MODerate resolution Imaging Spectroradiometer) 센서 등에서 수집된 관측 자료가 이용된다. 그러나 전지국적으로 관측된 위성 자료는 자료를 생산 제공하는 기관에 따라 자료의 파일포맷 (NetCDF, HDF5, GeoTIFF 등), 자료의 투영법 (projection) 등이 상이하다. 그러므로 가뭄연구에 다중위성자료를 활용하고자 하는 지리정보시스템(Geographic Information System: GIS)에 대한 전문지식이 부족한 연구자는 자료의 표준화 (파일포맷과 투영변환 등) 과정으로 인해 원활한 연구수행이 어렵다. MODIS 위성자료의 경우에는 일반적으로 많이 사용되는 횡단메르카토르 도법 (Transverse Mercator Projection: TM) 대신 시뉴소이드 도법 (sinusoidal projection)을 이용한다. 그래서 미국 지질조사국은 MODIS 자료의 재투영(reprojection)을 위한 전용 소프트웨어인 MRT (MODIS Reprojection Tool)를 배포하고 있다. 본 연구에서는 무료/오픈소스 소프트웨어를 활용하여 시뉴소이드 도법이 적용된 MODIS 자료의 수집, 재투영, 파일포맷 변환 등을 자동으로 처리하는 기법을 개발하여 가뭄활용에 이용하고자 하였으며, MODIS MOD09GA/MOD11A1 자료를 이용하여 효율성을 검증하였다.

• Proceedings of the KSRS Conference
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• v.2
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• pp.954-957
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• 2006

Satellite data (thermal and color imagery) show that offshore flowing filaments off the west coasts of North America, North and South Africa can influence significantly the cross-frontal mixing in the coastal upwelling zones. To evaluate this role, we investigated structure, dynamics and behavior of surface filaments in the Canary and Benguela upwelling regions on the base of daily satellite IR and VIS imagery (AVHRR NOAA, MODIS-Aqua). It was found that seasonal variability of the filaments location depends on intra-annual shift of general upwelling intensity along the coast. The main statistical characteristics of filaments - length, width, temperature anomaly and estimates of velocity were obtained. Estimates of cross-frontal water exchange due to filamentation based on the statistical data show that these coherent structures play a major role in the water and particle exchange between coastal zone and the open ocean in both upwelling regions.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.89-94
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• 2002

Recently, DARI implemented the receiving and processing system for MODIS sensor data from NASA EOS satellites (TERRA and AQUA). This paper shows the development strategy considered, system requirement derived, system design, characteristic and test results of processing system. System operation concept and sample image are also provided. Implemented system was proven to be fully operational through lots of pass operations activities from RF signal reception to level-1 processing.

• Korean Journal of Remote Sensing
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• v.19 no.1
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• pp.37-42
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• 2003

Recently, KARI implemented the receiving and processing system for MODIS sensor data from NASA EOS satellites (TERRA and AQUA). This paper shows the development strategy considered, system requirement derived, system design, characteristic and test results of processing system. System operation concept and sample image are also provided. Implemented system was proven to be fully operational through lots of pass operations activities from RF signal reception to level-1 processing.

• Proceedings of the KSRS Conference
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• v.2
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• pp.1027-1030
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• 2006

Development of diurnal warming in the open Okhotsk Sea during the daytime and calm conditions was studied using sea surface temperature (SST) fields retrieved from NOAA AVHRR, Terra and Aqua MODIS, Aqua AMSR-E and ADEOS-II AMSR data. Sea surface wind fields were estimated from AMSR-E/AMSR measurements as well as were obtained from QuikSCAT scatterometer. Weak winds and cloudless conditions were observed in the central area of anticyclone, which moved slowly on 28-30 June 2003 east off Sakhalin. The area where the amplitude of the diurnal SST signal ${\Delta}T$ was significant also shifted slowly and had or circular or elongated shape. The ${\Delta}T$ was estimated relative to the SST values in the areas surrounding the centre of anticyclone where wind speed W exceeded 5- 6 m/s. The diurnal variations of SST, day-night differences were computed using NOAA-12 and NOAA-16 AVHRRderived data. Analysis of simultaneous SST and W fields showed that the increase of W from 0 to 5-6 m/s causes the decrease of ${\Delta}T$ to zero. Maximum warming exceeded $8^{\circ}C$ and was observed in the centre of anticyclone where W = 0 m/s. So strong heating was likely due to the increased chlorophyll a concentration in the area under study that follows from analysis of satellite ocean colour data.

• The Korean Journal of Ecology
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• v.28 no.4
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• pp.215-222
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• 2005

MODIS (Moderate Resolution Image Spectrometer) is a core satellite sensor boarded on Terra and Aqua satellite of NASA Earth Observing System since 1999 and 2001, respectively. MODIS LAI, FPAR, and GPP provide useful means to monitor plant phonology and material cycles in terrestrial ecosystems. In this study, LAI, FPAR, and GPP in Korea were evaluated and errors associated with cloud contamination on MODIS pixels were eliminated for years $2001\sim2003$. Three-year means of cloud-corrected annual GPP were 1836, 1369, and 1460g C $m^{-2}y^{-1}$ for evergreen needleleaf forest, deciduous broadleaf forest, and mixed forest, respectively. The cloud-originated errors were 8.5%, 13.1%, and 8.4% for FPAR, LAI, and GPP, respectively. Summertime errors from June to September explained by 78% of the annual accumulative errors in GPP. This study indicates that cloud-originated errors should be mitigated for practical use of MODIS vegetation products to monitor seasonal and annual changes in plant phonology and vegetation production in Korea.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.638-643
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• 2002

MODIS (MODerate-resolution Imaging Spectroradiometer) onboard the first Earth Observing System (EOS) satellite, Terra, was launched successfully at the end of 1999. The direct broadcast MODIS data has been received and utilized in Korea Meteorological Administration (KMA) since february 2001. This study introduces utilizations of this data, especially for the derivation of sea surface temperature (SST). To produce the MODIS SST operationally, we used a simple cloud mask algorithm and MCSST algorithm. By using a simple cloud mask algorithm and by assumption of NOAA daily SST as a true SST, a new set of MCSST coefficients was derived. And we tried to analyze the current NASA's PFSST and new MCSST algorithms by using the collocated buoy observation data. Although the number of collocated data was limited, both algorithms are highly correlated with the buoy SST, but somewhat bigger bias and RMS difference than we expected. And PFSST uniformly underestimated the SST. Through more analyzing the archived and future-received data, we plan to derive better MCSST coefficients and apply to MODIS data of Aqua that is the second EOS satellite. To use the MODIS standard cloud mask algorithm to get better SST coefficients is going to be prepared.

• Korean Journal of Remote Sensing
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• v.32 no.4
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• pp.339-351
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• 2016

For the safety of sea, it is important to monitor sea fog, one of the dangerous meteorological phenomena which cause marine accidents. To detect and monitor sea fog, Moderate Resolution Imaging Spectroradiometer (MODIS) data which is capable to provide spatial distribution of sea fog has been used. The previous automatic sea fog detection algorithms were focused on detecting sea fog using Terra/MODIS only. The improved algorithm is based on the sea fog detection algorithm by Wu and Li (2014) and it is applicable to both Terra and Aqua MODIS data. We have focused on detecting spring season sea fog events in the Yellow Sea. The algorithm includes application of cloud mask product, the Normalized Difference Snow Index (NDSI), the STandard Deviation test using infrared channel ($STD_{IR}$) with various window size, Temperature Difference Index(TDI) in the algorithm (BTCT - SST) and Normalized Water Vapor Index (NWVI). Through the calculation of the Hanssen-Kuiper Skill Score (KSS) using sea fog manual detection result, we derived more suitable threshold for each index. The adjusted threshold is expected to bring higher accuracy of sea fog detection for spring season daytime sea fog detection using MODIS in the Yellow Sea.