• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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• pp.116-121
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• 1998

Global land related datasets such as land use, land cover, vegetation cover percentage, forest cover percentage, are part of important global geospatial environmental datasets for global change studies. Since land cover varies place by place, continental production of dataset is a usual approach. Western academically developed countries have some projects to describe land cover related information in digital form using remote sensing technology in African, American continent and Oceania. In this paper, the author introduce his initiative to coordinate Asian scientists in order to develop land related dataset of Asia for our better understanding of the environment of Asia and for contribution to the development of global dataset. This paper explains activities by Land Cover Working Group (LCWG) of the Asian Association on Remote Sensing(AARS), Data and Information System(DIS) sub-committee of Japan national committee for the International Geosphere and Biosphere Program(IGBP), and the International Society for Photogrammetry and Remote Sensing(ISPRS) Working Group IV/6 on Global databases supporting environmental monitoring.

• 한국농공학회논문집
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• 제48권5호
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• pp.39-48
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• 2006

The objective of this research was to find an indirect method to estimate land surface temperature (LST) efficiently, using Landsat images. Agricultural fields including paddy fields have long been known to have multi-functions beneficial to the environment and ecology of the urban surrounding areas. Among these functions, the ambient temperature cooling (ATC) effect is widely acknowledged. However, quantitative and regional assessment of such effect has not been performed. Thermal remote sensing has been used over urban areas to assess the ATC effect, Thermal Island Effect(TIE), and as input for models of urban surface atmosphere exchange. Here, we review the use of thermal remote sensing in the study of paddy fields and urban climates, focusing primarily on the ATC effect. Landsat satellite images were used to determine the surface temperatures of different land cover types of a $44km^{2}$ study area in Cheongiu, Korea. The results show that the ATC is a function of paddy area percentage in Landsat pixels. Landsat pixels with higher paddy area percentage have much more cooling effect. The use of satellite data may contribute to a globally consistent method for analysis of ATC effect.

• 대한원격탐사학회지
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• 제30권4호
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• pp.511-524
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• 2014

본 연구에서는 12년(2001-2012)간의 MODerate Resolution Imaging Spectroradiometer (MODIS) 토지피복 자료를 이용하여 동북아시아 지역에 대한 토지피복 유형별 통계적 점유율과 연변동을 조사하였다. MODIS 토지피복 자료의 공간해상도는 500 m이며 토지피복 유형의 수는 17개이다. 12년 평균에서 농지(36.96%), 초지(23.14%) 그리고 혼합림(22.97%) 3가지 유형이 분석 영역의 80% 이상을 점유하고 있는 것으로 나타났고, 그 외 농지와 자연 식생의 혼합유형(6.09%), 낙엽활엽수림(4.26%), 도시(2.46%) 그리고 사바나(1.54%) 유형이 점유하고 있는 것으로 나타났다. 비록 자료의 사용 기간이 짧지만 단순회귀분석에서 상록침엽수림, 낙엽활엽수림, 혼합림은 유의수준 5%에서 점유율이 증가하는 경향을 보였으나 사바나 유형은 유의수준 5%에서 감소하는 경향을 보였다. 토지피복 유형이 매년 다르게 분류되는 화소의 비율이 10% 이상이며 토지피복 유형별 점유율의 연변동은 농지(1.41%), 혼합림(0.82%), 초지(0.73%)에서 가장 두드러지게 나타났다. 또한, 12년 동안 토지피복 유형이 1개로만 분류된 화소의 비율은 단지 57%이며, 나머지 화소들에서는 2개 이상으로 분류되었으며 최대 9개 유형으로 분류된 화소도 존재했다. 공간적으로 균질하게 1개 유형만 분포하고 있는 중국 동부와 북서부 지역을 제외한 전체 지역에서 토지피복 유형이 연도별도 다르게 분류되고 있다. 따라서 토지피복 변화에 소요되는 시간적 규모를 고려할 때 동북아시아 지역에서 MODIS 토지피복 자료를 이용할 시 주의가 필요하다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 춘계학술대회 논문집
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• pp.113-119
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• 2007

This article deals mainly with two objectives viz, 1) the potentiality of very high-resolution(VHR) multi-spectral and pan chromatic QuickBird satellite data in resources mapping over moderate resolution satellite data (IRS LISS III) and 2) the advantages of using object oriented classification method of eCognition software in land use and land cover analysis over the ISODATA classification method. These VHR data offers widely acceptable metric characteristics for cartographic updating and increase our ability to map land use in geometric detail and improve accuracy of local scale investigations. This study has been carried out in the Sukkalampatti mini-watershed, which is situated in the Eastern Ghats of Tamil Nadu, India. The eCognition object oriented classification method succeeded in most cases to achieve a high percentage of right land cover class assignment and it showed better results than the ISODATA pixel based one, as far as the discrimination of land cover classes and boundary depiction is concerned.

• 한국측량학회지
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• 제39권2호
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• pp.113-122
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• 2021

Urban expansion, particularly converting sub-urban areas to residential and commercial land use in metropolitan areas, has been considered as a significant signal of regional economic development. However, this results in urban climate change. One of the key impacts of rapid urbanization on the environment is the effect of UHI (Urban Heat Island). Understanding the effects of urban land cover change on UHI is crucial for improving the ecology and sustainability of cities. This research reports an application of remote sensing data, GIS (Geographic Information Systems) for assessing effects of urban land cover change on the LST (Land Surface Temperature) and heat budget components in Ho Chi Minh City, where is one of the fastest urbanizing region of Vietnam. The change of urban land cover component and LST in the city was derived by using multi-temporal Landsat data for the period of 1998 - 2020. The analysis showed that, from 1998 to 2020 the city had been drastically urbanized into multiple directions, with the urban areas increasing from approximately 125.281 km² in 1998 to 162.6 km² in 2007, and 267.2 km² in 2020, respectively. The results of retrieved LST revealed the radiant temperature for 1998 ranging from 20.2℃ to 31.2℃, while that for 2020 remarkably higher ranging from 22.1℃ to 42.3℃. The results also revealed that given the same percentage of urban land cover components, vegetation area is more effective to reduce the value of LST, meanwhile the impervious surface is the most effective factor to increase the value of the LST.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2007년도 학술발표회 논문집
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• pp.1943-1947
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• 2007

The objective of this research was to find a direct and indirect method to estimate land surface temperature (LST) efficiently, using Landsat images and in-situ measurement. Agricultural fields including paddy fields have long been known to have multi-functions beneficial to the environment and ecology of the urban surrounding areas. Among these functions, the ambient temperature cooling (ATC) effect are widely acknowledged. However, quantitative and regional assessment of such effect has not had many investigations. Thermal remote sensing has been used over urban areas to assess ATC effect, to perform land cover classifications and as input for models of urban surface atmosphere exchange. Here, we review the use of thermal remote sensing in the study of paddy fields and urban climates, focusing primarily on the ATC effect. Landsat satellite images were used to determine the surface temperatures of different land cover types of a $441km^2$ study area in Cheongju, Korea. The results show that the ATC are a function of paddy area percentage in Landsat pixels. Pixels with higher paddy area percentage have more significant cooling effect.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.908-910
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• 2003

In this paper the extraction method for the best suitable green vegetation area in urban area, Daegu, Korea, was developed using satellite images (1994, 1999, Landsat TM). For this, the GIS overlay analysis of GVI (Green Vegetation Index), SBI (Soil Brightness index), NWI (None-Such wetness Index) was performed to estimate the best suitable green vegetation area. Also, the statistical documents, algorithm and Tasseled-Cap index were used to recognize the change of land cover such as cultivation area, urban area, and damaged area. Through the result of this study, it is possible to monitor the large sized reclamation of land by drainage or damaged area by forest fires. Moreover, information with the change of green vegetation and the status of cultivation by GVI, but also moisture content by percentage by NWI and surface class by SBI can be obtained.

• The Korean Journal of Ecology
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• 제28권1호
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• pp.1-6
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• 2005

This study was conducted to develop the predictive model for species richness of breeding birds by multivariate analysis of land covers (percentage value of each cover in 300 $\times$ 300m grid) including water area (WA), urbanized area (UA), green area (GA), forest area (FA) and agricultural area (AA) at Seongnam City in Korea. Fifty-nine species of birds were mapped on 155 grids in size of 300 $\times$ 300 m from 2000 to 2001. Species richness of breeding birds was significantly regressed ($R^2=0.85$, n=155) by estimates of WA ($4.59{\pm}1.13$, P<0.0001), UA ($6.50{\pm}0.86$, P<0.0001), GA ($7.11{\pm}1.25$, P<0.0001), FA ($8.51{\pm}0.62$, P<0.0001), and AA ($4.59{\pm}1.13$, P<0.0001). In validation of model, the results show no significant difference between predicted value of species richness and observed one. Developed model can be used as a predictive model of species richness of birds for selecting the proper location of corridors and parks in urban area.

• Journal of the Korean Institute of Landscape Architecture International Edition
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• 제1호
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• pp.59-66
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• 2001

The tremendous growth of population and physical development in the largest urban agglomeration in Indonesia -the Jakarta Metropolitan Region, also known as Jabotabek (Jakarta, Bogor, Tanggerang, Bekasi)- has created many environmental problems, such as land use conversion, increasing urban temperature, water and air pollution, intrusion of seawater, and flooding. These problems have become more serious as the urban green space (trees, shrubs, and groundcovers) has decreased rapidly with the urbanization process. Urban green space directly benefits the urban environment through ameliorating air pollution, controlling temperature, contributing to the balance of the hydrological system, and providing space for recreation and relaxation. Because there is little hard data to support the claim of decreasing greenery in Jabotabek, it is necessary to measure the amount of urban green space. The paper describes the spatial analysis of urban green space within Jabotabek through the use of a geographical information system (GIS). We used GIS and remote sensing to determine land cover change and predicted greenery percentage. Interpretation of Landsat data for 1972, 1983, 1990, and 1997 showed that Jabotabek has experiences rapid development and associated depletion of green open space. The proportion of green open space fell by 23% from 1972 to 1997. We found a low percentage of urban green space in the center of Jakarta but a high percentage in fringe area. The amount of greenery is predicted by the Ratio Vegetation Index (RVI) model: predicted greenery (%) = [146.04] RVI - 134.96. We consider that our result will be useful for landscape planning to improve the environment of Jabotabek.

• 환경영향평가
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• 제28권6호
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• pp.568-579
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• 2019

연구는 서울시 도시대기 측정망의 월별 미세먼지 농도와 측정소 주변 버퍼별, 토지피복 유형별 비율의 관계를 분석하여 미세먼지 농도에 대한 토지피복의 영향을 규명하고자 하였다. 대분류 토지피복 유형과 미세먼지 농도의 월별 상관분석 결과 버퍼 3km에서, PM_2.5보다 PM₁₀에서 상관성이 잘 나타났고, 산림과 뚜렷한 음의 상관관계, 초지와 시가지는 PM₁₀과, 나지와 시가지는 PM_2.5와 일부 양의 상관관계를 나타냈다. 버퍼 3km 내 중분류 및 세분류 우세 피복유형의 월별 상관분석 결과 PM₁₀은 활엽수림과 뚜렷한 음의 상관관계를 나타냈고, 도로와 일부 양의 상관이 우세한 편이었다. PM_2.5는 활엽수림과 일부 음의 상관, 상업지역과 일부 양의 상관이 많은 편이었다. 그 밖에 초지 및 나지 세부 유형의 상관성은 매우 낮거나 없었다. 양의 상관 및 음의 상관관계의 각 대표 피복유형으로 단계선택법에 의한 월별 회귀분석을 실시한 결과 PM₁₀은 활엽수림 비율 증가에 의한 농도 감소 영향이 뚜렷하였고, 도로는 변수선택에서 제거되었다. PM_2.5는 일부 월별로 상업지역 비율 증가에 따른 농도 증가 영향 또는 활엽수림 비율 증가에 따른 농도 감소 영향을 받았지만, 그 영향력은 PM₁₀에 비해 낮았다. 연구결과 측정소 주변 토지피복은 미세먼지 농도 증감에 영향을 주었고, 그 영향은 PM₁₀에서 더 분명하였다. 산림 유형은 미세먼지 농도에 가장 크고, 분명한 영향을 주는 저감 요인이었다. 시가화지역 관련 유형들의 농도 증가 영향은 일부 확인되었다. 도심 산림의 미세먼지 저감 기능은 분명한 효과를 가진 것으로 보이며, 향후 녹지의 세부 특성과 복잡한 도시환경 요인의 작용을 규명하는 후속 연구가 필요하였다.