• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2004년도 GIS/RS 공동 춘계학술대회 논문집
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• pp.241-246
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• 2004

The ocean signal that reaches the detector of an imaging system after multiple interactions with the atmospheric molecules and aerosols was retrieved from the total signal recorded at the top of the atmosphere (TOA). A simple method referred to as 'Path Extraction' applied to the Landsat-TM ocean imagery of turbid coastal water was compared with the conventional dark-pixel subtraction technique. The shape of the path-extracted water-leaving radiance spectrum resembled the radiance spectrum measured in-situ. The path-extraction was also extended to the SeaWiFS ocean color imagery and compared with the standard SeaWiFS atmospheric correction algorithm, which relays on the assumption of zero water leaving radiance at the two NIR wavebands (765 and 865nm). The path-extracted water-leaving radiance was good agreement with the measured radiance spectrum. In contrast, the standard SeaWiFS atmospheric correction algorithm led to essential underestimation of the water-leaving radiance in the blue-green part of the spectrum. The reason is that the assumption of zero water-leaving radiance at 755 and 865nm fails due to backscattering by suspended mineral particles. Therefore, the near infrared channels 765 and 865nm used fur deriving the aerosol information are no longer valid for turbid coastal waters. The path-extraction is identified as a simple and efficient method of extracting the path radiance largely introduced due to light interaction through the complex atmosphere carried several aerosol and gaseous components and at the air-sea interface.interface.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.671-674
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• 2005

Atmospheric correction over the ocean part is more important than that over the land because the signal from the ocean is very small about one tenth of that reflected from land. In this study, the Spectral Shape Matching Method (SSMM) developed by Ahn and Shanmugam (2004) is evaluated using Landsat imagery acquired over the highly turbid Saemangeum Coastal Area. The result of SSMM is compared with COST model developed by Chavez (1991 and 1997). In principle, SSMM is simple and easy to implement on any satellite imagery, relying on both field and image properties. To assess the potential use of these methods, several field campaigns were conducted in the Saemangeum coastal area corresponding with Landsat-7 satellite's overpass on 29 May 2005. In-situ data collected from the coastal waters of Saemangeum using optical instruments (ASD field spectroradiometer) consists of ChI, Ap, SS, aooM, F(d). In order to perform SSMM, we use the in-situ water-leaving radiance spectra from clear oceanic waters to estimate the the path radiance from total signal recorded at the top of the atmosphere (TOA), due to the reason that the shape of clear water-leaving radiance spectra is nearly stable than turbid water-leaving radiance spectra. The retrieved water-leaving radiance after subtraction of path signal from TOA signal in this way is compared with that estimated by COST model. The result shows that SSMM enabled retrieval of water-leaving radiance spectra that are consistent with in-situ data obtained from Saemangeum coastal waters. The COST model yielded significantly high errors in these areas.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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• pp.376-381
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• 1998

In this study, we was measured the radiance reflectance by using multi-spectral image of low resolution camera(LRC) which will be loaded in the multi-purpose satellite(KOMPSAT) to use the data in analyzing water pollution. Also we investigated the possibility of extraction of water quality factors in rivers and water body by using high resolution remote sensing data such as Airborne MSS. Especially, we tried to extract the environmental factors related with eutrophication, and also tried to develop the process technique and the radiance feature of reflectance related with eutrophication. The results were summarized as follows: First, the spectrum of sun's rays which reaches the surface of the earth was consistent with visible rays bands of 0.4${\mu}{\textrm}{m}$~0.7${\mu}{\textrm}{m}$ and about 50% of total quantity of radiation were there. And at around 0.5${\mu}{\textrm}{m}$ of green spectral band in visible rays bands, the spectrum was highest. Second, as a result of the radiance reflectance Chlorophyll-a represented high spectral reflectance mainly around 0.52${\mu}{\textrm}{m}$ of green spectral band, and suspended sediments and turbidity represented high spectral reflectance at 0.8${\mu}{\textrm}{m}$ and at 0.57${\mu}{\textrm}{m}$ each. Third, as a result of the water quality analysis by using Airborne MSS, Chlorophyll-a could have a distribution chart when carried out ratio of B3 and BS to B7. And Band 7 was useful for making the distribution chart of suspended sediments. And when we carried out PCA, suspended sediments and turbidity had distributions at PC 1 , PC 4 each similarly to ground truth data. Above results can be changed according to the change of season and time. Therefore, in order to analyze more exactly the environmental factors of water quality by using LRC data, we need to investigate constantly the ground truth data and the radiance feature of reflectance of water body. Afterward in this study, we will constantly analyze the radiance feature of the surface of water in water body by measuring the on-the-spot radiance reflectance and using low resolution satellite image(SeaWiFs). Besides, we will gather the data of water quality analysis in water body and analyze the pattern of water pollution.

• 대한원격탐사학회지
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• 제15권2호
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• pp.131-146
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• 1999

가시광선 위성자료는 해색 연구에 성공적으로 응용되어 왔다. 또 하나의 해색관측 센서인 OSMI 가 다목적 실용위성에 탑재되어 1999년 발사될 예정이다. 향후 OSMI 영상특성을 이해하기 위해서 우선 모의 실험 절차를 자세히 논하고 복사전달 모델을 이용하여 전형적인 경우의 가시대역 복사패턴을 모의 생성시켰다. 각 성분의 복사량 (에오로졸 산란, Rayleigh 산란, 태양복사, 해수 상향 복사량 및 총 복사량) 분포를 설명하기 위해 계절별, 해수형태 및 위성의 적도 통과 시각에 대한 위성의 전체 통과 경로와 한국 근해지역의 여러 가지 모의 영상들이 소개된다. 그리고 영상의 품질 및 가용도를 평가하기 위한 방법은 복합신호잡음비 (CSNR)로 정의된 영상특성을 이용해 개발된다. 한편 다목적 실용위성이 궤도에 진입 되기 전에 OSMI 영상자료의 질과 가용도를 평가할 수 있도록 일련의 CSNR영상이 서로 다른 경우에 대한 모의 복사량 성분들로부터 생성된다. 최종적으로 OSMI 영상의 질과 가용도가 CSNR모의 영상을 이용해 정량적으로 분석된다. 본 연구결과가 OSMI 임무를 책임지고 있는 모든 과학자들과 OSMI 자료활용을 계획하고 있는 사람들에게 유용하게 되기를 기대한다.

• 대한원격탐사학회지
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• 제20권5호
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• pp.289-305
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• 2004

Atmospheric correction of Landsat Visible and Near Infrared imagery (VIS/NIR) over aquatic environment is more demanding than over land because the signal from the water column is small and it carries immense information about biogeochemical variables in the ocean. This paper introduces two methods, a modified dark-pixel substraction technique (path--extraction) and our spectral shape matching method (SSMM), for the correction of the atmospheric effects in the Landsat VIS/NIR imagery in relation to the retrieval of meaningful information about the ocean color, especially from Case-2 waters (Morel and Prieur, 1977) around Korean peninsula. The results of these methods are compared with the classical atmospheric correction approaches based on the 6S radiative transfer model and standard SeaWiFS atmospheric algorithm. The atmospheric correction scheme using 6S radiative transfer code assumes a standard atmosphere with constant aerosol loading and a uniform, Lambertian surface, while the path-extraction assumes that the total radiance (L/sub TOA/) of a pixel of the black ocean (referred by Antoine and Morel, 1999) in a given image is considered as the path signal, which remains constant over, at least, the sub scene of Landsat VIS/NIR imagery. The assumption of SSMM is nearly similar, but it extracts the path signal from the L/sub TOA/ by matching-up the in-situ data of water-leaving radiance, for typical clear and turbid waters, and extrapolate it to be the spatially homogeneous contribution of the scattered signal after complex interaction of light with atmospheric aerosols and Raleigh particles, and direct reflection of light on the sea surface. The overall shape and magnitude of radiance or reflectance spectra of the atmospherically corrected Landsat VIS/NIR imagery by SSMM appears to have good agreement with the in-situ spectra collected for clear and turbid waters, while path-extraction over turbid waters though often reproduces in-situ spectra, but yields significant errors for clear waters due to the invalid assumption of zero water-leaving radiance for the black ocean pixels. Because of the standard atmosphere with constant aerosols and models adopted in 6S radiative transfer code, a large error is possible between the retrieved and in-situ spectra. The efficiency of spectral shape matching has also been explored, using SeaWiFS imagery for turbid waters and compared with that of the standard SeaWiFS atmospheric correction algorithm, which falls in highly turbid waters, due to the assumption that values of water-leaving radiance in the two NIR bands are negligible to enable retrieval of aerosol reflectance in the correction of ocean color imagery. Validation suggests that accurate the retrieval of water-leaving radiance is not feasible with the invalid assumption of the classical algorithms, but is feasible with SSMM.

• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2006년도 추계학술발표회
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• pp.181-186
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• 2006

정지궤도위성은 태양 궤도위성과는 달리 넓은 지역의 매시간 측정이 가능하다. 정지 위성은 관측영역은 항상 고정되어 있으나 태양의 위치가 항상 변하므로 한 주어진 지점의 해수 신호의 크기는 기간에 따라 변하게 된다. 반면에 태양 궤도 위성은 하루 통일한 시간대에서 동일한 영역을 촬영하기 때문에 신호의 크기의 변화가 없다. 즉, 정지해양 위성에서 관측된 신호의 크기는 태양과 위성이 항상 수직 방향에 위치한다고 가정할 때 얻어지는 신호의 크기로 변경되어야한다. 이와 같은 신호의 보정은 지속적으로 변화하는 태양, 위성과 관측점의 기하학적인 위치변화에 따라 나타나게 되는데 이를 양방향 계수 (Bidirectional Factor) 라고 한다. 본 연구에서는 태양의 위치와 기하학적인 요인을 계산, 대기권 밖의 총 방사휘도와 반사율을 계산하였다. 그리고 양방향계수, 즉 관측점과 관측지점 사이의 규격화된 해면방사휘도$([L_W]_N)$의 비를 모의실험을 통해 확인하였다. 1년간의 값을 영상화 하였고 보다 정확한 양방향 계수 (Bidirectional Factor)를 얻기 위해 다양한 조건의 모의실험의 필요성을 제시하였다.

• 대한원격탐사학회지
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• 제16권3호
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• pp.243-260
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• 2000

가시광 영역에서 해수의 원격반사($R_{rs}$)도 및 수출광(water leaving radiance: Lw) 스펙트럼 크기를 해수의 광 특성(흡광도; a, 역산란; $b_b$)에 영향을 가장 크게 미치는 3개 물질 즉, 클로로필, 무기성 부유입자, 용해유기물의 량으로 모델링 하였다. 모델은 간략하게 $R_{rs}$=0.046 $b_b$/(a+$b_b$)로 주어졌으며, 모델의 대상 해역은 광특성이 전혀 다른 적조 발생해역, 맑은 해수, 탁수해역으로 나우어 연구하였다. 모델로 얻어진 원격반사도는 형장 관측치와 스펙트럼의 모양, 값의 분포 및 기존의 해색 클로로필 알고리즘 등으로 비교하여 모델의 타당성을 검증하였다. 결과는 아주 다양한 광 특성을 같은 해양이라 하여도 본 연구의 모델은 거의 완벽하게 해색 스펙트럼, 원격반사도 혹은 water leaving radiance(Lw)를 재현할 수 있는 것으로 나타났다. 본 모델은 앞으로 OSMI와 같은 해색위성 알고리즘 개발, CASE-II water 알고리즘, neural network 알고리즘 개발에 크게 기여할 것으로 사료되며 그 외에도 해색 대기보정 모델 개발에서 대기 신호의 정밀 보정에 활용될 수 있을 것으로 기대된다.

• 한국태양에너지학회 논문집
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• 제32권3호
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• pp.104-113
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• 2012

A set of candela distribution curves(CDCs) were generated for a fiber optic dish daylighting system by Photopia under clear sky conditions at different solar altitudes. The candela distribution curves were then exported to Radiance for photometric analysis of a windowless lecture room. Observations were made on the Radiance rendered illuminance images, which provided photo realistic scenes varying with solar altitudes. If no tracking error were assumed, the daylight collection efficiency of the system remained at a constant value of 68.4% during its operation. Higher the solar altitude angle, greater in photometric quantities were observed, which are represented by candela(cd) and total lumens(lm). In all cases considered, however, the angle of light distribution remained fixed reflecting the solar tracking feature of the system. The illuminance uniformity on the workplane lingered around 0.12, which is quite low. This is quite a contrast to its average value of 0.68 of the $2.7m^2$ area directly below the terminal device (diffuser) of the system. The maximum illuminance of 1,340lux was obtained at a solar altitude of 80 degrees.

• 한국환경생태학회지
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• 제36권4호
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• pp.433-441
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• 2022

빛공해는 연안 및 섬 지역의 생태계를 교란하는 요인 중 하나이다. 본 연구는 야간 위성영상을 이용하여 다도해해상국립공원 내 섬 지역의 빛공해를 일으키는 요인을 분석하였다. 분석은 다도해해상국립공원 내 섬 중 면적이 10만m² 이상인 101개 섬을 대상으로 하였다. 연구 대상 섬의 빛공해 수준은 2019년 1월과 4월, 8월, 10월 DNB monthly 영상에 기록된 야간 빛방사량으로 측정하였다. 연구 대상 섬의 야간 빛방사량을 다도해해상국립공원의 7개 지구별로 비교하면, 금오도지구가 17,666nW/m²/sr로 가장 높았고, 거문도·백도지구, 나로도지구, 소안도·청산도지구가 뒤를 이었다. 계절별로는 10월의 야간 빛방사량이 9,509nW/m²/sr로 가장 높았고, 다음으로 8월, 1월, 4월 순이었다. 연구 대상 섬의 빛공해 수준에 영향을 미치는 요인을 회귀분석을 통해 분석한 결과, 섬에서 반경 5km 내 지역의 건축물 연면적과 등대 개소수는 모든 시기에서 야간 빛방사량에 통계적으로 유의미하게 영향을 미쳤지만, 섬 내부의 건축물 연면적과 등대 개소수는 대부분 시기에 영향을 미치지 않아, 개발이 제한된 국립공원 내 섬 지역에서는 공원 내부보다 인근 지역의 인공조명의 영향이 큰 것을 알 수 있었다. 단, 8월에는 예외적으로 섬 내부의 건축물 연면적이 섬의 야간 빛방사량에 유의미한 영향을 미쳤는데, 이는 휴가철 탐방객이 사용하는 인공조명의 영향으로 보인다. 섬의 크기는 섬의 빛공해 수준에 음(-)의 영향을 미쳤는데, 이는 빛공해가 일종의 생태적 경계효과임을 보여주는 결과이다. 즉, 작은 섬일수록, 섬 전체 면적 중 인접 지역에서 방사된 빛의 영향을 받는 경계 지역의 면적이 상대적으로 넓기 때문이다. 본 연구의 결과는 해상형 국립공원 내 섬 지역의 빛공해 저감을 위해서는, 섬 인근 지역의 인공조명 관리가 필요하다는 것을 시사한다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.495-498
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• 2006

Optical profile and spectral absorption of suspended solids in waters of Sanya bay was measured on August 8-14, 2003. Optical profile was taken by using MicroPro optical profile. Apparent optical indexes, vertical diffuse attenuation coefficient ($K_d$) and water leaving radiance (Lw), were calculated. $K_d$ at the blue end of the spectrum was greater than that at the red end of the spectrum in waters near Sanya River mouth, however, in waters near open sea, $K_d$ at the blue end of the spectrum was smaller than that at the red end of the spectrum. Distribution of water leaving radiance was relatively higher in waters near Sanya River mouth, but relatively weaker in near open sea water. Spectral absorption of suspended particulates was also measured. Results showed that the spectral absorption of chlorophyll a was greater in waters near Sanya river mouth, but relatively weaker in waters near open sea, which indicated higher concentration of phytoplankton in waters near Sanya river mouth. Except for water at the 5th sampling station, the ratio of spectral absorption of chlorophyll a to total suspended particulates in surface waters was greater than that in bottom waters at all stations.