• Aerospace Engineering and Technology
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• v.10 no.1
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• pp.149-155
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• 2011

A fast-changing agriculture environment induced by global warming and abnormal climate conditions demands scientific systems for monitoring and predicting crop conditions as well as crop yields at national level. Remote sensing opens up a new application field for precision agriculture with the help of commercial use of high resolution optical as well as radar satellite data. In this study, we investigated the multi-temporal spectral characteristics relative to different agricultural land use types in Korea using RapidEye satellite imagery. There were explicit differences between vegetation and non-vegetation land use types. Also, within the vegetation group spectral vegetation indices represented differences in temporal changing trends as to plant species and paddy types.

• Journal of Cadastre & Land InformatiX
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• v.47 no.1
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• pp.27-35
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• 2017

Human activity such as agriculture, industrial development and urban sprawl has been the major threat to wetlands ecosystem, which have caused the greatest losses of coastal wetlands. The Garorim bay provides one of the most important wetland habitate and Ministry of Oceans and Fisheries designated Garorim bay to marine ecosystem protected area in July 2016. The purpose of this research is to analysis the spatial pattern of Garorim bay using Landsat 5 (TM), Landsat 7 (ETM+), Landsat 8 (OLI & TIRS). The surface temperature and NDVI of Garorim bay were processed with spatial analysis method and time series analysis were applied to 25 years Landsat satellite 19 images. The results of time series distribution map compared with the several wetland habitate on remotely sensed images. Landsat images showed the change area of wetland vegetation distribution from 1988 to 2014. The southern part habitate of Garorim bay have been changed with vegetation patterns on coastal wetland which were covered with tidal flat.

• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.31-34
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• 2009

본 연구에서는 KOMPSAT-3급 고해상도 위성영상을 이용하여 전처리 후 정밀 농업 주제정보를 추출하는 방법론을 제시하고자 하였다. 분석에 사용한 KOMPSAT-3급 고해상도 위성영상은 IKONOS (2001/5/25, 2001/12/25, 2003/10/23) 3개의 영상, QuickBird (2006/5/1, 2004/11/17) 2개의 영상, KOMPSAT-2 (2007/9/17) 1개의 영상 등 모두 6개의 영상을 확보 및 각각에 대한 현장 GCP자료 및 RPC, RPB 자료를 수집하여 정사보정을 실시하였다. RMSE는 약 $0.12\sim3.18$의 값으로 분포되었다. KOMPSAT근 급 영상자료로 부터 정밀농업물재배지도를 작성하기 위해 각 벤드별 Scatter기법을 이용하여 각 밴드간의 상간관계를 살펴보고, 3개의 최적의 밴드를 선정하였다. 또한 작물별 최적의 밴드 결정을 위해 각 밴드별 픽셀 값을 사용하여 Texture 분석을 실시하였다. 그 결과 논의 경우 모든 밴드에서 분석이 용이 한 것으로 분석되었으며, 4밴드의 경우 3개의 작물(고추, 옥수수, 벼)의 분석시 매우 적합한 밴드인 것으로 분석되었다. 각 영상별 필터링 기법과, ISODATA 방법을 이용한 정밀농업 토지이용도 작성하여 기존 스크린 디지타이징 기법으로 작성한 정밀토지이용도와 비교하였다. 다양한 식생정보를 추출하는 위하여 확보된 영상자료로부터 RVI, NDVI, ARVI, SAVI 식생지수 를 추출하였으며, 그 결과를 현장자료로부터 추출한 식생지수간의 결과 값과 비교분석하였다.

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.3
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• pp.79-89
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• 2004

Remote sensing technique is a probable means to estimate distribution of actual evapotranspiration in connection with regional characteristics of vegetation and landuse. The factors controlling evapotranspiration from ground surface are air temperature, humidity, wind, radiation, soil moisture and so on. Not only the vegetation influences directly the evapotranspiration, but also these factors strongly influences the vegetation growth at the area. Therefore, it can be expected that evapotranspiration is highly correlated to vegetation condition. The normalized difference vegetation index (NDVI) showed excellent ability to get the vegetation information. The NDVI is obtained using NOAA/AVHRR have been studied as a tool for vegetation monitoring. In this paper, a simple method to estimate actual avapotranspiration is proposed based on vegetation and meteorological data.

• Journal of Korean Society for Geospatial Information Science
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• v.23 no.1
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• pp.15-22
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• 2015

To create a wind resource map, we need a contour map, a roughness map and wind data. We need a land cover map for the roughness map of these data. A land cover map represents the area showing similar characteristics after color indexing based on the scientific method. The features of land cover is classified by Remote sensing technique. In this study, we verified the application of the NDVI technique is reasonable after we created the wind resource map using roughness maps by unsupervised classification and NDVI technique. As a result, the wind resource map using the NDVI technique showed a 60% accordance rate and difference in class less than one. From the results, The NDVI technique is found alternative to create roughness maps by the unsupervised classification.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.4
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• pp.39-44
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• 2009

To analysis the LST distribution of Jeju island, remote sensing techniques using Landsat TM band 6 data were used. In this study, we made the LST distribution map based on the NASA. The study areas are the Jeju and Seogwipo cities of the Jeju Island. And we analyzed the correlation between the LST and NDVI which was calculated from the Landsat TM band 3 and ban 4. From the result, we found that the coefficients of the correlation were -0.77 and -0.74 on the Jeju and the Seogwipo cities, respectively. Finally, from the correlation between the land cover and LST, we also found that an inverse relationship between the LST and NDVI was exist.

• Journal of Korean Society for Geospatial Information Science
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• v.24 no.3
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• pp.39-47
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• 2016

In this study analysis the status of land cover change and land degradation of Tuul-Basin in Mongolia by using the Landsat satellite images that was taken in year of 1990, 2001 and 2011 respectively in the summer at the time of great growth of green plants. Analysis of the land cover change during time series data in Tuul-Basin, Mongolia and NDVI (Normalized Difference Vegetation Index), SAVI (Soil-Adjusted Vegetation Index) and LST (Land Surface Temperature) algorithm are used respectively. As a result shows, there was a decrease of forest and green area and increase of dry and fallow land in the study area. It was be considered as trends to be a land degradation. In addition, there was high correlation between LST and vegetation index. The land cover change or vitality of vegetation which is taken in study area can be closely related to the temperature of the surface.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2019.03a
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• pp.57-58
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• 2019

• Proceeding of EDISON Challenge
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• 2015.03a
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• pp.580-584
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• 2015

수중 식생, 해양 구조물과 같은 복합 구조에 대하여 본 연구에서는 각각의 구조물을 원형 실린더로 가정하고, 구조물 다발 하나를 원형 실린더 패치로 가정하였다. 패치들의 배열을 계산할시 기존의 방법으로는 많은 격자가 필요하기 때문에 좀 더 효율적으로 외력의 특성을 파악할 방법을 살펴보았다. 계산 영역 내에서 평균화된 정보들을 통해서 이용하여 항력계수와 양력계수와 속도, 압력의 관계를 알아내는 모델링 방법을 해보았다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.353-358
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• 2008

최근 위성에서 수집된 영상을 활용한 다양한 응용 및 분석이 시도되고 있는데, 각 연구 기관의 자료와 연구 성과를 함께 공유하고 협업할 수 있다면 더욱 심도 깊고 활발한 연구가 진행될 수 있을 것이다. 이에 본 연구에서는 MODIS 센서 영상을 이용한 한반도 식생 분석의 결과를 Google Earth라는 지리 정보 공유 플랫폼에 표현함으로써 위성 영상 자료를 공동으로 연구 및 활용할 수 있는 방안을 모색하였다.