• 제목/요약/키워드: Land Characteristics

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토지이용시설과 자전거도로 유형의 관계 분석 연구 (The Cycleway Types by Land Uses Analysis)

  • 변완희;임하얀;윤은주
    • 대한교통학회지
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    • 제28권3호
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    • pp.19-28
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    • 2010
  • 국내의 자전거도로는 대체로 주변 토지이용시설 특성을 고려하지 않은 채 계획되고 있다. 이와 같이 획일화된 도로계획은 효율적이지도 못할뿐더러 안전과 이용편리에 있어서 최적의 환경을 제공할 수가 없다. 따라서 본 연구는 보다 안전하고 편리한 자전거도로 이용환경 구축을 목적으로, 자전거도로 유형에 대해 물리적 시설측면의 분류를 시도하였고, 토지이용시설 이용자의 통행특성을 조사 분석하였다. 카이제곱 독립성검정을 통해서 토지이용시설 간에 통행특성의 차이가 있음을 확인했고, 군집분석과 자전거도로 유형 결정기준을 통해 해당 토지이용시설에 적합한 자전거도로 유형을 제시하였다.

지리정보콘텐츠를 활용한 토지특성의 평가 방안 (A Study on Assessment of Land Characteristics using Geographic Information Contents)

  • 김항집
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2004년도 추계 종합학술대회 논문집
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    • pp.170-174
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    • 2004
  • 공간계획에 있어서 실질적으로 전략영향평가의 역할을 담당할 수 있는 토지적성평가가 2003년부터 지방자치단체를 중심으로 시행되고 있다. 토지적성평가는 토지의 물리적 사회적 공간적 특성에 따라서 개발사업의 시행 이전에 토지의 용도를 결정하는 과정이다. 이 과정에서 토지의 특성을 파악하기 위하여 지리정보콘텐츠를 중심으로 하는 디지털DB의 활용은 필수적이며, 법률상으로도 GIS를 활용하도록 규정하고 있다. 그러나 지자체의 여건은 아직 이 제도를 실시하기 위한 물적 인적 기반이 미비한 상황이다. 이러한 문제를 개선하기 위하여, 이 연구에서는 사례연구를 통하여 토지평가를 실시하고, 이를 바탕으로 토지평가제도의 효율성과 실행성을 제고할 수 있는 방안을 강구하였다.

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Application of a Deep Learning Method on Aerial Orthophotos to Extract Land Categories

  • Won, Taeyeon;Song, Junyoung;Lee, Byoungkil;Pyeon, Mu Wook;Sa, Jiwon
    • 한국측량학회지
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    • 제38권5호
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    • pp.443-453
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    • 2020
  • The automatic land category extraction method was proposed, and the accuracy was evaluated by learning the aerial photo characteristics by land category in the border area with various restrictions on the acquisition of geospatial data. As experimental data, this study used four years' worth of published aerial photos as well as serial cadastral maps from the same time period. In evaluating the results of land category extraction by learning features from different temporal and spatial ranges of aerial photos, it was found that land category extraction accuracy improved as the temporal and spatial ranges increased. Moreover, the greater the diversity and quantity of provided learning images, the less the results were affected by the quality of images at a specific time to be extracted, thus generally demonstrating accurate and practical land category feature extraction.

도농통합지역의 녹지환경정비모델에 관한 연구 I - 위성데이타를 이용한 천안시 토지이용 변화 - (A Study on the Urban Fringe Landscape Environment Model -The Analysis of Change in Land Uses of Chonan City using Landsat TM Data-)

  • 심우경;이진희;김훈희
    • 한국조경학회지
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    • 제26권3호
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    • pp.237-248
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    • 1998
  • Landcover has been largely influenced by human activities, especially in recent days. The analysis of the change of land use by urbanized development is useful for determining development plan hereafter. This study aimed to the quantitative analysis about the urban sprawl within 12 years from 1985 to 1996, at Chonan, and for extracting the characteristics of change. For this purpose, this study performed land cover classifications using Landsat TM data . A hybrid classification method was used to classify satellite images into seven types of land cover. Road network digitied from 1:25,000 topographic map was rasterized and overlaid on the landcover map. A result of this study showed that area of forest and paddy decreased due to urban sprawl. Especially from 1993 to 1996, the change of land use progressed rapidly because of merging a city and a country in Chonan. The size of patch in forest had been smaller and irregular form. It is a general progress that size of patch in forest had been smaller and irregular form. It is a general progress that the forest have changed the paddy and bare land paddy and bare land have changed low-density urban or high-density urban. This explained how urbanized Chonan was and applied the suggeston of plan in landuse with the result of this study.

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Linear Spectral Mixture Analysis of Landsat Imagery for Wetland land-Cover Classification in Paldang Reservoir and Vicinity

  • Kim, Sang-Wook;Park, Chong-Hwa
    • 대한원격탐사학회지
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    • 제20권3호
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    • pp.197-205
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    • 2004
  • Wetlands are lands with a mixture of water, herbaceous or woody vegetation and wet soil. And linear spectral mixture analysis (LSMA) is one of the most often used methods in handling the spectral mixture problem. This study aims to test LSMA is an enhanced routine for classification of wetland land-covers in Paldang reservoir and vicinity (paldang Reservoir) using Landsat TM and ETM+ imagery. In the LSMA process, reference endmembers were driven from scatter-plots of Landsat bands 3, 4 and 5, and a series of endmember models were developed based on green vegetation (GV), soil and water endmembers which are the main indicators of wetlands. To consider phenological characteristics of Paldang Reservoir, a soil endmember was subdivided into bright and dark soil endmembers in spring and a green vegetation (GV) endmember was subdivided into GV tree and GV herbaceous endmembers in fall. We found that LSMA fractions improved the classification accuracy of the wetland land-cover. Four endmember models provided better GV and soil discrimination and the root mean squared (RMS) errors were 0.011 and 0.0039, in spring and fall respectively. Phenologically, a fall image is more appropriate to classify wetland land-cover than spring's. The classification result using 4 endmember fractions of a fall image reached 85.2 and 74.2 percent of the producer's and user's accuracy respectively. This study shows that this routine will be an useful tool for identifying and monitoring the status of wetlands in Paldang Reservoir.

경산 대임공공주택지구의 대토보상결과를 통해 살펴본 대토보상제도 문제점과 개선방안 연구 (The Impact of the Land Compensation Act to the Outcome of Land Compensation: a Case Study of Gyeongsan DAEIM Public Housing District)

  • 박창률;박정준;손순금
    • 토지주택연구
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    • 제11권4호
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    • pp.75-92
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    • 2020
  • This study explores the outcome of the current Land Compensation Act for the indigenous residents of DAEIM Public Development Project Zone in Gyeongsan City. The purpose of the law is to return part of the development gains to the native residents and to support the re-settlement of the native residents. As the Land Compensation Act applies to each area with different standards, the monetary terms of land compensation which the native residents eventually receive varies across the region and development sites. That means the development gain is not fairly shared with the native residents of the redevelopment area and it does not necessarily support the settlement of the existing residents. It is supposed that the actual compensation for the native residents should be in full cash value but it is not in reality. The study demonstrates the outcomes of the land compensation that the residents received are far from the original purpose of the Compensation Act using the case example of DAEIM Public Development Zone in Gyeongsan, Gyeongsangbukdo. Only a small proportion of the natives managed to achieve the development gains. Accordingly the majority of the native residents has lost re-settlement opportunity. It suggests that the Compensation Act and the implementation procedure should be reviewed and revised accordingly. The details of compensation plan should be tested and set up in line with the characteristics of the project area. In particular, the compensation details in terms of the size and types of land, average value of land for indigenous residents receive, and the amount of compensation per household should be clearly demonstrated to the resident.

유역 토지이용과 하천 생물지수의 비선형적 관계 연구 - 한강권역을 대상으로 - (Study of the Non-linear Relationships between Watershed Land Use and Biological Indicators of Streams - The Han River Basin -)

  • 박세린;이종원;박유진;이상우
    • 한국환경복원기술학회지
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    • 제25권2호
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    • pp.55-67
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    • 2022
  • Land use is a critical factor that affects the hydrological characteristics of watersheds, thereby determining the biological condition of streams. This study analyzes the effects of land uses in the watersheds on biological indicators of streams across the Han River basin using a linear model (LM) and generalized additive model (GAM). LULC and biological monitoring data of streams were obtained from the Korean Ministry of Environment. The proportions of urban, agricultural, and forest areas in the watersheds were regressed to the three biological indicators, including diatom, benthic macroinvertebrate, and fish of streams. The estimated LM and GAM models for the biological indicators were then compared, using regression determination R2 and AIC values. The results revealed that GAM models performed better than the LM models in explaining the variances of biological indicators of streams, indicating the non-linear relationships between biological indicators and land uses in watersheds. Also, the results suggested that the indicator of macroinvertebrates was the most sensitive indicator to land uses in watersheds. Although non-linear relationships between watershed land uses and biological indicators of streams could vary among biological indicators, it was consistent that streams' biological integrity significantly deteriorated by a relatively low percentage of urban areas. Meanwhile, biological indicators of streams were negatively affected by the relatively high percentage of agricultural areas. The results of this study can be integrated into effective quantitative criteria for the watershed management and land use plans to enhance the biological integrity of streams. In specific, land uses management plans in watersheds may need more close attention to urban land use changes than agricultural land uses to sustain the biological integrity of streams.

A Study on the Land Cover Characteristics in Korea : Application of Hybrid Classifier and Topographic Normalization

  • Jeon, Seong-Woo;Jung, Hui-Cheul;Chung, Sung-Moon;Lee, Sang-Ik
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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    • pp.271-280
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    • 1999
  • The topographical effect resulted from rugged terrains and inhomogeneous spectral characteristics due to the complexly mixed land cover condition of Korea substantially lower the remotely sensed land cover classification accuracy In this study, a topographic correction method using digital elevation model to alleviate the topographic effects. To deal with inhomogeneous spectral characteristic, a hybrid classifier with inclusion of prior probabilities was introduced. This investigation concluded that the topographical normalization and hybrid classification with prior probabilities are effective on rugged landscape. The overall and average classification accuracies were improved by 0.92% and 1.016% respectively. The most substantial and noticeable accuracy improvement was observed in forest areas.

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축산유역 수질특성 분석 (Analysis of Water Quality Characteristics in a Small-Scale Livestock Watershed)

  • 최윤선;홍성구
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 2002년도 학술발표회 발표논문집
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    • pp.465-468
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    • 2002
  • Land application is one of the desirable management practices for animal wastes. Majority of livestock farms adopt composting and land applications for the management of animal waste in this country. Meanwhile, there are only a few studies related with the effects of land application on pollutant loading. This study investigates the water quality characteristics in a rural watershed with intensive livestock farming. The results indicate that major constituents of water quality are substantially increased at the sites near livestock farms and compost incorporated fields during the rainfall-runoff periods. There are no significant differences of water quality parameters among the sampling sites during no rain periods.

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URBAN COMPLEXITY ESTIMATION INDICES BASED ON 3D DISCRETE WAVELET TRANSFORM OF REMOTELY SENSED IMAGERY;THE PRELIMINARY INTERPRETATION WITH LAND COVER MAP

  • Yoo, Hee-Young;Lee, Ki-Won;Kwon, Byung-Doo
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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    • pp.405-409
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    • 2007
  • Each class in remotely sensed imagery has different spectral and spatial characteristics. Natural features have relatively smaller spatial changes than spectral changes. Meanwhile, urban area in which buildings, roads, and cars are included is inclined to face more changes of spatial variation than spectral one. This study aims to propose the new urban complexity index (UCI) based on the 3D DWT computation of remotely sensed imageries considering these characteristics. And then we analyze relation between index and land cover map. The 3DWUCI values are related to class and the indices of urban area are greater than natural area. The proposed UCI could be used to express effectively the standard of urban complexity over a wide area.

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