• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.319-321
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• 2003

It is our goal to obtain a better scientific understanding of how to define the nature and role of remotely sensed land surface parameters and energy fluxes in the heat island phenomena, and local and regional weather and climate. By using the TRMM (Tropical Rainfall Measuring Mission) visible and thermal imagery data and analyzing the surface energy flux images associated with the change of the landcover and land use in the study area, we present how significant is the magnitude of the heat island heat effect and its relation with the surface parameters and the energy fluxes in the Taichung area of Taiwan. We used the energy budget components such as net radiation, soil heat flux, sensible heat flux, and latent heat flux in the study area of interest derived form remotely sensed data to understand the island heat effect in Taichung. The results show that water is the most important component to decrease the temperature, and the more the consumed net radiation to latent heat, the lower the urban surface temperature.

• 대한원격탐사학회지
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• 제27권6호
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• pp.677-692
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• 2011

Suspended sediment is an important oceanic variable for monitoring changes in coastal environment related to physical and biogeochemical processes. In order to estimate suspended sediment concentration (SSC) from satellite data, we derived SSC coefficients by fitting satellite remote sensing reflectances to in-situ suspended sediment measurements. To collect in-situ suspended sediment, we conducted ship cruises at 16 different locations three times for the periods of Sep.-November 2009 and Jul. 2010 at the passing time of Landsat $ETM_+$. Satellite data and in-situ data measured by spectroradiometers were converted to remote sensing reflectances ($R_{rs}$). Statistical approaches proved that the exponential formula using a single band of $R_{rs}$(565) was the most appropriate equation for the estimation of SSC in this study. Satellite suspended sediment using the newly-derived coefficients showed a good agreement with insitu suspended sediment with an Root Mean Square (RMS) error of 1-3 g/$m^3$. Satellite-observed SSCs tended to be overestimated at shallow depths due to bottom reflection presumably. This implies that the satellite-based SSCs should be carefully understood at the shallow coastal regions. Nevertheless, the satellite-derived SSCs based on the derived SSC coefficients, for the most cases, reasonably coincided with the pattern of in-situ suspended sediment measurements in the study region.

• 대한원격탐사학회지
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• 제30권1호
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• pp.13-24
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• 2014

인공위성 원격탐사 자료는 화산재 모니터링을 위한 중요한 도구로서 사용되어 왔다. 본 연구는 최근에 발생한 주요 화산폭발 사례(2008년 Chait$\acute{e}$n 화산, 2010년 Eyjafjallaj$\ddot{o}$kull 화산, 2011년 Shinmoedake 화산)를 대상으로 인공위성자료를 이용한 화산재 모니터링과 궤적분석 모델링을 수행하였다. 이를 위하여 Moderate Resolution Imaging Spectro-radiometer(MODIS) 인공위성 관측자료로부터 적외선 밝기온도차 기법을 적용하여 산출된 화산재 탐지 산출물과 HYbrid Single-Particle Lagrangian Integrated Trajectory(HYSPLIT) 모델을 이용한 전진궤적분석자료를 상호 비교하였다. 그 결과, 인공위성을 이용한 화산재 탐지 산출물은 모델링한 궤적분석 결과와 상호간에 관련성이 높게 나타났다. 이러한 결과는 인공위성 관측자료와 모델링의 통합분석자료가 화산재 감시 및 예측을 위하여 중요한 역할을 수행할 수 있는 가능성을 제시한다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.551-554
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• 2006

House management is very important in water resource protection in order to provide sustainable drinking water for about four millions population in northern Taiwan. House management can be a simple job that can be done without any ingredient of remote sensing or geographic information systems. Remote sensing and GIS integration for house management can provide more efficient management prescription when land use enforcement, soil and water conservation, sewage management, garbage collection, and reforestation have to be managed simultaneously. The objective of this paper was to integrate remote sensing and GIS to manage houses in a water resource protection district. More than four thousand houses have been surveyed and created as a house data base. Site map of every single house and very detail information consisting of address, ownership, date of creation, building materials, acreages floor by floor, parcel information, and types of house condition. Some houses have their photos in different directions. One house has its own card consists these information and these attributes were created into a house data base. Site maps of all houses were created with the same coordinates system as parcel maps, topographic maps, sewage maps, and city planning maps. Visual Basic.NET, Visual C#.NET have been implemented to develop computer programs for house information inquiry and maps overlay among house maps and other GIS map layers. Remote sensing techniques have been implemented to generate the background information of a single house in the past 15 years. Digital orthophoto maps at a scale of 1:5000 overlay with house site maps are very useful in determination of a house was there or not for a given year. Satellite images if their resolutions good enough are also very useful in this type of daily government operations. The developed house management systems can work with commercial GIS software such as ArcView and ArcPad. Remote sensing provided image information of a single house whether it was there or not in a given year. GIS provided overlay and inquiry functions to automatically extract attributes of a given house by ownership, address, and so on when certain house management prescriptions have to be made by government agency. File format is the key component that makes remote sensing and GIS integration smoothly. The developed house management systems are user friendly and can be modified to meet needs encountered in a single task of a government technician.

• 한국지리정보학회지
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• 제9권4호
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• pp.129-141
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• 2006

인공위성을 이용한 원격탐사 기술의 비약적인 발전과 함께 지리, 해양 정보 등 사회전반에서 사용되는 영상 데이터량이 급속히 증가하고 있다. 따라서 대용량 원격탐사 영상의 해석을 위해서는 육안 검사보다 영상처리 기술을 이용한 자동화 방법이 필요하다. 본 연구에서는 인공위성 원격탐사 영상의 적조영역에 대해 GLCM(Gray Level Co-occurrence Matrix)을 이용하여 질감 정보를 취득하고, 이 데이터로부터 주성분 분석을 통해 적조영역을 자동으로 검출하는 방법에 대해 제안하였다. 기존의 적조영역 검출은 원격탐사 영상의 해색(sea color) 한 가지 특징에 의한 방법이 대부분이었으나 본 연구에서 GLCM의 질감 정보 8가지를 이용해서 2개의 주성분 누적 영상으로 변환시켰다. 연구결과 2개의 주성분 누적 영상의 백분율 분산 값은 90.4%였으며, 이를 해색 한 가지만을 이용한 적조영역 검출방법과 비교했을 때 보다 나은 결과를 나타내었다.

• 대한원격탐사학회지
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• 제37권3호
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• pp.615-625
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• 2021

태평양 적도 부근에 위치한 팔라우섬과 통가섬 주변 연안해역은 산호초와 맹그로브 및 해초지로 구성된 해역이다. 특히, 산호초 서식지의 표층 해수의 광특성을 이해하는 것은 원격탐사 기반의 서식지 분류의 정확도를 높이고, 열대해역 생태계 특성을 파악하는 데에 도움이 된다. 본 연구에서는 팔라우섬과 통가섬 산호초 서식지의 해수 특성을 파악하고자 해수 표면의 파장별 분광특성 자료를 수집하고, 해수 표층의 부유물 농도, 흡광계수 및 원격반사도 특성을 분석하였다. 또한 부유물 농도 분석 결과에 의거 위성자료 기반 부유물 농도 추정 경험적 알고리즘을 개발 및 검증하였으며, 555, 625, 660 nm 세 개 밴드를 이용한 원격반사도 밴드비와 부유물 농도의 결정계수가 0.98로 높은 상관관계를 보였다. 이와 같이 열대해역의 산호초 서식지는 해양광학적으로 빈영양성의 CASE-I 해수 성향이 강하며, 현장자료의 지속적인 수집과 분석을 이용한 모니터링이 필요한 것으로 판단된다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.260-263
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• 2005

This study was carried out to investigate the effects of spatial resolutions on digital image for detecting pine trees damaged by pine wilt disease. Color infrared images taken from PKNU-3 multispectral airborne photographing system with a spatial resolution of 50cm was used as a basic data. Further test images with spatial resolutions of 1m, 2m and 4m were made from the basic data to test the detecting capacity on each spatial resolution. The test was performed with visual interpretation both on mono and stereo modus and compared with field surveying data. It can be conclude that it needs less than 1m spational resolutions or 1m spatial resolutions with stereo pair in order to detect pine trees damaged by pine wilt disease.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.142-145
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• 2006

The synergism of active and passive microwave techniques for hurricane ocean wind remote sensing is explored. We performed the analysis of Windsat data for Atlantic hurricanes in 2003-2005. The polarimetric third Stokes parameter observations from the Windsat 10, 18 and 37 GHz channels were collocated with the ocean surface winds from the Holland wind model, the NOAA HWind wind vectors and the Global Data Assimilation System (GDAS) operated by the National Center for Environmental Prediction (NCEP). The collocated data were binned as a function of wind speed and wind direction, and were expanded by sinusoidal series of the relative azimuth angles between wind and observation directions. The coefficients of the sinusoidal series, corrected for atmospheric attenuation, have been used to develop an empirical geophysical model function (GMF). The Windsat GMF for extreme high wind compares very well with the aircraft radiometer and radar measurements.

• Spatial Information Research
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• 제2권2호
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• pp.175-188
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• 1994

본 연구에서는 최근 많은 분야데서 패턴인식을 위한 효과적인 기법으로 이용되고 있는 신경망 기법을 원격탐사자료의 군집화 기법으로서 적용하고자 하였다. 이를 위해 선택된 신경망 모델은 경쟁학습 신경망이며 이를 구성하는 각종 변수들을 재구성하여 원격탐사자료의 군집화를 위한 신경망모델을 설정하였다. 본 신경망을 이용한 군집화 기법은 항공기를 이용하여 획득된 원격탐사자료를 이용하여 순차적(sequential)군집화 기법 K 평균 군집화 기법과 비교되었다. 계산시간은 순차적 기법이나 K 평균기법에 비하여 더 많이 소요되나 정확도면에 있어서는 비교적 우수한 결과를 나타냈다.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2009년도 추계학술대회 논문집
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• pp.482-483
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• 2009

This paper is foundation paper about national wind map verification using remote sensing, based on analysis of comparison between numerical simulation and remote sensing on complex coastal area of regional coast. As a result analysis using NCAR/NCEP, wind direction of numerical simulation and remote sensing is same. but, wind direction of some case is showed different. Such as this result, if it would be used without verification of analyzed data, present ability of occurring lots of error, and it will be verified based on using survey data or atmospheric data.