• 대한원격탐사학회지
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• 제36권6_1호
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• pp.1303-1322
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• 2020

Indonesia is more prone to natural disasters due to its geological condition under the three main plates, making Indonesia experience frequent seismic activity, causing earthquakes, volcanic eruption, and tsunami. Those disasters could lead to other disasters such as landslides, floods, land subsidence, and coastal inundation. Monitoring those disasters could be essential to predict and prevent damage to the environment. We reviewed the application of remote sensing and Geographic Information System (GIS) for detecting natural disasters in the case of Indonesia, based on 43 articles. The remote sensing and GIS method will be focused on InSAR techniques, image classification, and susceptibility mapping. InSAR method has been used to monitor natural disasters affecting the deformation of the earth's surface in Indonesia, such as earthquakes, volcanic activity, and land subsidence. Monitoring landslides in Indonesia using InSAR techniques has not been found in many studies; hence it is crucial to monitor the unstable slope that leads to a landslide. Image classification techniques have been used to monitor pre-and post-natural disasters in Indonesia, such as earthquakes, tsunami, forest fires, and volcano eruptions. It has a lack of studies about the classification of flood damage in Indonesia. However, flood mapping was found in susceptibility maps, as many studies about the landslide susceptibility map in Indonesia have been conducted. However, a land subsidence susceptibility map was the one subject to be studied more to decrease land subsidence damage, considering many reported cases found about land subsidence frequently occur in several cities in Indonesia.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.107-109
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• 2003

Optical sensor-based land cover categories produce spectral signature confusion along with degraded classification accuracy. In the classification tasks, the goal of fusing data from different sensors is to reduce the classification error rate obtained by single source classification. This paper describes the result of land cover/land use classification derived from solely of Landsat TM (TM) and multisensor image fusion between JERS 1 SAR (JERS) and TM data. The best radar data manipulation is fused with TM through various techniques. Classification results are relatively good. The highest Kappa Coefficient is derived from classification using principal component analysis-high pass filtering (PCA+HPF) technique with the Overall Accuracy significantly high.

• 항공우주정책ㆍ법학회지
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• 제20권1호
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• pp.87-107
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• 2005

지상원격탐사(Land Remote Sensing)란 멀리 떨어져 있는 지상 지하 대상물의 특성과 현상을 접촉하지 않고 관측하여 정보를 얻어내는 기술이라 정의되고 있으며 보다 좁은 의미로는 인공위성을 이용히여 우주공간으로부터 지표를 관측탐사하여 영상등 정보를 얻는 기술을 의미하는 것으로 받아들여지고 있다. 원격탐사기술은 원래 군사 및 정보 수집을 위한 목적으로 엄격히 제한되어 발전되어왔으나 1970년대 이후 점차 그 기술이 민간에 이전되어 상업화의 길을 걷게 되었다. 최근에는 지상원격탐사영상을 촬영할 수 있는 상업위성을 자체 보유하고 있는 업체까지 등장하여 최고 0.61m 해상도의 정밀위성영상을 시장에 유통시키게 되었다. 지상원격탐사의 민영화와 상업화 경향은 위성영상을 재해예방, 지도제작, 자원탐사 등에 유용하게 사용할수 있도록 하는 장점이 있지만 정밀위성영상이 피탐사국에 공격의도를 갖고 있는 국가나 단체 등에 입수될 경우 피탐사국의 국가안보를 심각하게 위협할 수 있는 가능성도 있다. 지상원격탐사기술의 최선진국인 미국은 이미 1990년대 초반부터 이러한 점을 인식하고 지상원격탐사산업을 통제하기 위한 입법적 보완책을 마련하여 왔으며 현재 국가안보를 이유로 지상원격탐사산업을 규제할 수 있는 여러 제도들을 갖추고 있다. 미국은 지상원격탐사정책법에 의하여 연방해양대기국에 유보된 허가권의 행사를 통하여 0.5m 이상 고해상도 위성영상의 촬영을 막고 촬영 후 24시간 동안 위성영상의 유통을 금하고 있으며, 1994년에는 국가안보를 이유로 지상원격탐사를 금지할 수 있도록 한 'Shutter Control'제도를 규정한 대통령령 제23호를 제정한바 있다. 위 대통령령은 2003. 'U.S. Commercial Remote Sensing Policy'로 대체되어 한층 강화되고 구체적인 규율 내용을 갖게 되었다. 새로운 미국의 지상원격탐사통제제도는 지상원격탐사허가를 내줌에 있어 국방장관과 국무장관이 그 기준을 정하도록 하고, 국가안보를 이유로 한 지상원격탐사금지 및 위성영상 유통제한 제도를 두고 있으며, 유사시 국가안보를 이유로 미국 정부가 민간지상원격탐사시설을 사용할 수 있도록 정하고 있다. 미국과 같은 우주선진국조차 지상원격탐사가 국가안보에 대하여 갖는 중요성을 깊이 인식하고 그 통제를 위한 제도를 갖추고 있다는 점은 분단 상황에 놓인 우리에게 시사 하는바가 크다고 생각한다. 우리의 우주개발진흥법에도 미국을 비롯한 우주선진국들의 지상원격탐사 통제제도를 참작 반영할 수 있도록 지속적인 관심을 기울여야 한다고 본다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.500-505
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• 2002

Based on the real-time monitoring by remote sensing and dynamic management by GIS on agricultural land and water resources in arid area, we solved the practicability and popularization of small-scale spatial information service system. Through demonstration, the standards of spatial information service database of agricultural land and water resources is set up, and the agricultural land and water resources management system in Shehezi City of Xinjiang Autonomy is established, which provides periodically the spatial information services needed by agricultural production to support for sustainable development in arid area.

• 대한원격탐사학회지
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• 제39권1호
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• pp.99-110
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• 2023

Land surface temperature (LST) is a critical environmental indicator affected by land cover (LC) changes. Currently, the most convenient and fastest way to retrieve LST is to use remote sensing images due to their continuous monitoring of the Earth's surface. The work intended to investigate land cover change and temperature response inAn-Najaf province. Landsat multispectral imageries acquired inAugust 1989, 2004, and 2021 were employed to estimate land cover change and LST responses. The findings exhibited an increase in water bodies, built-up areas, plantations, and croplands by 7.78%, 7.27%, 6.98%, 3.24%, and 7.78%, respectively, while bare soil decreased by 25.27% for the period (1989-2021). This indicates a transition from barren lands to different land cover types. The contribution index (CI) was employed to depict how changes in land cover categories altered mean region surface temperatures. The highest LSTs recorded were in bare lands (42.2℃, 44.25℃, and 46.9℃), followed by built-up zones (41.6℃, 43.96℃, and 44.89℃), cropland (30.9℃, 32.96℃, and 34.76℃), plantations (35.4℃, 36.97℃, and 38.92℃), and water bodies (27.3℃, 29.35℃, and 29.68℃) respectively, in 1989, 2004, and 2021. Consequently, these changes resulted in significant variances in LST between different LC types.

• 환경영향평가
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• 제4권1호
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• pp.59-64
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• 1995

Environmental Impact Assesment(EIA) is composed of various procedures, such as screening, scoping, inventory survey, prediction, assessment, mitigation measure, alternative assessment, and post management. Remote sensing introduced lately begins to be applied ecosystem and land use in inventory survey and assessment of EIA. This study explains on land use classification, buffering analysis of residential area, and overlaying analysis of odor predictive data with residential area for application to EIA with remote sensing data. Residential area extracted from land use classification of remote sensing provides effectively buffering analysis of residential area in selection of landfill site with GIS. It could assess also residential effect to an offensive odor by overlaying analysis. Application methods in EIA should be enlarged to assess effectively.

• 대한원격탐사학회지
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• 제35권6_3호
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• pp.1299-1312
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• 2019

육상 원격탐사에서 정량적 활용이 확대됨에 따라 대기보정의 중요성이 날로 증가하고 있다. 그러나 대기보정 처리의 난이도와 효과의 불확실성을 감안한다면, 대기보정은 필요한 활용 분야에 적용되어야 한다. 광학영상의 대기보정이 반드시 필요한 분야로 지표물의 생물리적 변수의 정량적 정보를 추출하는 경우와 시계열 자료 분석을 꼽을 수 있다. 지표물의 정확한 표면반사율을 도출하는 대기보정에서 가장 큰 영향을 미치는 요소는 시공간적으로 매우 가변적인 에어로졸 및 수증기량이다. 특히 고·중해상도의 다중분광영상 대기보정에서 시기와 공간해상도가 부합되는 에어로졸 및 수증기 자료를 얻는 데 어려움이 많다. 광학영상의 육상 대기보정에서는 대기자료의 획득 방법에 따른 적절한 기법의 적용이 필요하다. 육상 대기보정은 렘버시안 표면 가정으로 표면반사율이 산출되지만, 대부분의 지표면은 이방성 반사특성을 가지고 있기 때문에 BRDF보정이 추가적으로 적용되어야 하는 숙제를 가지고 있다. 육상지역의 광학영상 대기보정 방법은 지속적인 개선이 전망되며, 센서도 대기보정을 위한 추가적인 파장밴드 포함이 기대된다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1275-1277
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• 2003

This paper presents a geological remote sensing information extraction system, the aim of which is to provide practical models and powerful tools to extract geological information from remote sensing images for geological exploration applications. After reviewing and analyzing the existing methods for geological information extraction, we developed more than ten models to enhance and extract geological information, such as alteration information, linear features and special lithological characters. The system is developed based on Erdas Imagine using its programming language. It has been successfully used in the 'reat Investigation of Land and Natural Resources of China' program.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1442-1444
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• 2003

This paper presents a geological remote sensing information extraction system, the aim of which is to provide practical models and powerful tools to extract geological information from remote sensing images for geological exploration applications. After reviewing and analyzing the existing methods for geological information extraction, we developed more than ten models to enhance and extract geological information, such as alteration information, linear features and special lithological characters. The system is developed based on Erdas Imagine using its programming language. It has been successfully used in the ‘Great Investigation of Land and Natural Resources of China’ program.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.337-340
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• 2007

Many researches conducted to investigate the relationship between surface emissivity and surface temperature in the past two decades and pointed out that the emissivity play a key role in applying remote sensing data to retrieve surface temperature. The task of surface temperature estimation is so important in many research fields, such as earth energy budgets, evapotranspiration, drought, global change and heat island effect. Therefore, it is indispensable to develop an effective and accurate technique to estimate the emissivity for accurate surface temperature estimations. This study developed an improved emissivity estimation technique for the use of surface temperature retrievals with MODIS data. The result of applying this improved technique using Band 31 of MODIS shows that the accuracy of estimated surface temperatures will be improved. This study also uses MODIS data observed in 2005 to establish the relationship between the surface emissivity correction factor and NDVI. Through the use of these correction factors, the land surface temperature can be retrieved more accurate with MODIS data.