• 제목/요약/키워드: Wetland Land-cover.

검색결과 41건 처리시간 0.02초

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.

Analysis of land use change for advancing national greenhouse gas inventory using land cover map: focus on Sejong City

  • Park, Seong-Jin;Lee, Chul-Woo;Kim, Seong-Heon;Oh, Taek-Keun
    • 농업과학연구
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    • 제47권4호
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    • pp.933-940
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    • 2020
  • Land-use change matrix data is important for calculating the LULUCF (land use, land use change and forestry) sector of the national greenhouse gas inventory. In this study, land cover changes in 2004 and 2019 were compared using the Wall-to-Wall technique with a land cover map of Sejong City from the Ministry of Environment. Sejong City was classified into six land use classes according to the Intergovernmental Panel on Climate Change (IPCC) guidelines: Forest land, crop land, grassland, wetland, settlement and other land. The coordinate system of the land cover maps of 2004 and 2019 were harmonized and the land use was reclassified. The results indicate that during the 15 years from 2004 to 2019 forestlands and croplands decreased from 50.4% (234.2 ㎢) and 34.6% (161.0 ㎢) to 43.4% (201.7 ㎢) and 20.7% (96.2 ㎢), respectively, while Settlement and Other land area increased significantly from 8.9% (41.1 ㎢) and 1.4% (6.9 ㎢) to 35.6% (119.0 ㎢) and 6.5% (30.3 ㎢). 79.㎢ of cropland area (96.2 ㎢) in 2019 was maintained as cropland, and 8.8 ㎢, 1.7 ㎢, 0.5 ㎢, 5.4 ㎢, and 0.4 ㎢ were converted from forestland, grassland, wetland, and settlement, respectively. This research, however, is subject to several limitations. The uncertainty of the land use change matrix when using the wall-to-wall technique depends on the accuracy of the utilized land cover map. Also, the land cover maps have different resolutions and different classification criteria for each production period. Despite these limitations, creating a land use change matrix using the Wall-to-Wall technique with a Land cover map has great advantages of saving time and money.

선분류 후비교법을 이용한 간석지의 토지피복 변화 및 패턴 분석 - 태안반도 지역을 사례로 - (The Land-cover Changes and Pattern Analysis in the Tidal Flats Using Post-classification Comparison Method: The Case of Taean Peninsula Region)

  • 장동호;김찬수;박지훈
    • 대한지리학회지
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    • 제45권2호
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    • pp.275-292
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    • 2010
  • 이 연구는 위성영상 자료(1972~2008년)를 이용하여 인위적인 환경변화에 따른 태안반도 간석지의 토지피복 변화를 시계열분석하고, 그 변화 패턴을 고찰하고자 하였다. 선분류 후비교법을 이용한 시기별 토지피복 변화를 분석한 결과, 1972년에서 2008년 사이에 태안반도 간석지의 토지피복은 갯벌에서 습지, 습지에서 논으로의 변화가 발생하였다. 세부적인 토지피복 변화 패턴을 분석하기 위해 변형된 선분류 후비교법을 이용하여 각각의 영상을 분석한 결과 태안반도 간석지는 갯벌 $\rightarrow$ 습지 호수 및 염전 $\rightarrow$ 나대지 $\rightarrow$$\rightarrow$ 나대지로 변하였음을 분석할 수 있었다. 선분류 후비교법의 적용을 위해서는 각 영상의 정확한 분류가 반드시 요구되는데, 분류된 영상의 전체정확도는 평균 95.33%로 나타났고, 카파값은 평균 0.941로 나타났다.

국가습지 DB를 활용한 남한 내륙습지의 토지피복 유형 특성 분석 (Analysis of Characteristics in the Land Cover Types of Inland Wetlands Using the National Wetland DB at South Korea)

  • 이예슬;윤혜연;이성호;장동호;윤광성;이창수
    • 한국지형학회지
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    • 제27권4호
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    • pp.71-88
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    • 2020
  • This study modified the properties and boundaries of the inland wetland types through the structural edit of the National Wetland DB, and analyzed the characteristics of the different land cover by area and the entire inland wetlands of South Korea. The inland wetlands of the Gangwon Basin had a small area of waters. In addition, the ratio of natural barren was high, reflecting the characteristics of the upper reaches of the large river in the east and west part of Gangwon Province. The Geum River Basin had a high percentage of aggregate land due to the development of large alluvial land, and the ratio of artistic barren was low, so various ecosystem service of wetland elements were distributed evenly. The Nakdong River Basin had a high proportion of waters as water level in the channel rose due to the installation of 4 Major Rivers Beam, and the ratio of Natural barren was low. Moreover, the water level of the main attributes flowing into the Nakdong River drainage system was not high, so the ratio of vegetation concentration was high. The Yeongsan River Basin showed that Waters had the high proportion. And the distribution of Natural barrens represented differently according to the Yeongsan River Basin and the Seomjin River Basin. Finally, Sand and Gravels supplied to rivers during precipitation were deposited in the main stream of the Han River Basin, and the differences between the side and high side was large in the area, reflecting the characteristics of the mouth of a river, so the Natural barren of Clay was distributed.

섬진강침실습지의 2020년 홍수 전·후 토지피복 및 퇴적환경 변화 연구 (A Study on Land-cover and Sedimentary Environment Changes Before and After the 2020 Flood in the Seomjin River Chimsil Wetland)

  • 이예슬;임정철;장동호
    • 한국지형학회지
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    • 제28권4호
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    • pp.15-30
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    • 2021
  • This study analyzed the changes in land-cover and sedimentary environment before and after flooding through drone images and sediment analysis for the Seomjin River Chimsil Wetland. The results showed that the area of some land-covers such as sand bar, grass, and trees were continuously changed. The acidity level of the sediments in the Seomjin River Chimsil Wetland was weakened gradually by flooding and EC was also decreased. The levels of organic matter, effective phosphoric acid, and CEC, however, were fluctuating depending on branches, which seems to be the result of landization as new sedimentary environment was developed and vegetation was settled after the flood. Average mean size of river sediments was found to be fine sand, and it exhibited various particle size characteristics from granule to medium silt depending on the location. As the sedimentary environment changed due to the effects of floods and typhoons, the particles were granulated or grain refined depending on the position. In the Seomjin River Chimsil Wetland, there were factors that could interfere with geomorphic development and sedimentary environment, contamination sources in and around the wetland, and natural threat factors. Therefore, in this study, a conservation and management plan was proposed to remove these threat factors and to preserve the scarcity, naturalness, and dynamics of Seomjin River Chimsil Wetland.

장기적 토지피복 분석을 통한 경안천 유역의 토지이용 특성 (Land Use Characteristics in the Kyungan Watershed by Analyzing Long-Term Land Cover Data)

  • 한미덕;김지찬;정욱진
    • 한국물환경학회지
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    • 제27권2호
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    • pp.159-166
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    • 2011
  • The use of land cover was sharply changed during 1975~2007 in the Kyungan watershed $(561.12 km^2)$. The changes occurred over an area of more than $227.65 km^2$ during the overall period at changing rates of 1.04% per year for water area, 1.79% per year for residential area, 2.99% per year for bare area, 3.03% per year for wetland area, 3.04% per year for grass area, 0.87% per year for forest and 2.32% per year for agriculture area. Water, residential, bare and wetland areas increased, while grass, forest and agriculture areas decreased during the last 32 years. BOD concentrations of representative sites for each sub-watershed continuously increased until the early 2000s as residential area increased with the highest discharged load, but decreased after the mid 2000s except upper Kyungan watershed. Such decline appears to be associated with the planning of Total Maximum Daily Load management for Gwangju city and expansion of waste water treatment plant. It is necessary to control land use/cover changes of the upper watershed and to prepare appropriate watershed management system for improvement in river environment including water quality, stream flow and bio-diversity.

Effect Analysis of Worldview-3 SWIR Bands for Wetland Classification in Suncheon Bay, South Korea

  • Han, Youkyung;Jung, Sejung;Park, Honglyun;Choi, Jaewan
    • 한국측량학회지
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    • 제36권5호
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    • pp.371-379
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    • 2018
  • Unlike general VHR (Very-High-Resolution) satellite sensors that are mainly for panchromatic and MS (Multispectral) imaging, Worldview-3 sensor additionally provides eight SWIR (Short Wavelength Infrared) bands in wavelength range from 1198 nm to 2365 nm. This study investigates the effect of informative Worldview-3 SWIR bands for wetland classification performance. Worldview-3 imagery acquired over Sunchon Bay, which is a coastal wetland located in South Korea, is used to implement the classification. Land-cover classes for the scene are determined by referring to national land-cover maps, which are provided by the Ministry of Environment, overlapped with the scene. After that, training data for each determined class are collected. In order to analyze the effect of SWIR bands, classifications with and without SWIR bands are carried out and the results are then compared. In this regard, a SVM (Support Vector Machine) is utilized as their classifier. As a result of the accuracy assessments performed by test data that are independently extracted from training data, it was confirmed that classification performance was improved when the SWIR bands are included as input features for SVM-based classification.

Comparison of Three Land Cover Classification Algorithms -ISODATA, SMA, and SOM - for the Monitoring of North Korea with MODIS Multi-temporal Data

  • Kim, Do-Hyung;Jeong, Seung-Gyu;Park, Chong-Hwa
    • 대한원격탐사학회지
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    • 제23권3호
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    • pp.181-188
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    • 2007
  • The objective of this research was to investigate the optimal land cover classification algorithm for the monitoring of North Korea with MODIS multi-temporal data based on monthly phenological characteristics. Three frequently used land cover classification algorithms, ISODATA1), SMA2), and SOM3) were employed for this study; the land cover categories were forest, grass, agricultural, wetland, barren, built-up, and water body. The outcomes of the study can be summarized as follows. First, the overall classification accuracy of ISODATA, SMA, and SOM was 69.03%, 64.28%, and 73.57%, respectively. Second, ISODATA and SMA resulted in a higher classification accuracy of forest and agricultural categories, but SOM performed better for the built-up area, bare soil, grassland, and water. A possible explanation for this difference would be related to the difference of sensitivity against the vegetation activity. This would be related to the capability of SOM to express all of their values without any loss of data by maintaining the topology between pixels of primitive data after classification, while ISODATA and SMA retain limited amount of data after normalization process. Third, we can conclude that SOM is the best algorithm for monitoring the land cover change of North Korea.

합성토지피복자료와 고해상도 중규모 모형을 이용한 시화호 지역의 토지이용 변화에 따른 주변 기상장 변화 연구 (A Study on Changes in Local Meteorological Fields due to a Change in Land Use in the Lake Shihwa Region Using Synthetic Land Cover Data and High-Resolution Mesoscale Model)

  • 박선기;김지희
    • 대기
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    • 제21권4호
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    • pp.405-414
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    • 2011
  • In this study, the influence of a change in land use on the local weather fields is investigated around the Lake Shihwa area using synthetic land cover data and a high-resolution mesoscale model - the Weather Research and Forecasting (WRF). The default land cover data generally used in the WRF is based on the land use category of the United States Geological Survey (USGS), which erroneously presents most land areas of the Korean Peninsula as savannas. To revise such a fault, a multi-temporal land cover data, provided by the Ministry of Environment of Korea, was employed to generate a land cover map of 2005 subject to the land use in Korea at that time. A new land cover map of 1989, before the construction of the Lake Shihwa, was made based on the 2005 map and the Landsat 4-5 TM satellite images of two years. Over the areas where the land use had been changed (e.g., from sea to wetlands, towns, etc.) due to the Lake Shihwa development project, the skin temperature decreased by up to $8^{\circ}C$ in the winter case while increased by as much as $14^{\circ}C$ in the summer case. Changes in the water vapor mixing ratio were mostly affected by advection and topography in both seasons, with considerable increase in the summer case due to continuous sea breeze. Local decrease in water vapor occurred over high land use change areas and/or over downstream of such areas where alteration in wind fields were induced by changes in skin temperature and surface roughness at the areas of land use changes. The albedo increased by about 0.1% in the regions where sea was converted into wetland. In the regions where urban areas were developed, such as Songdo New Town and Incheon International Airport, the albedo increased by up to 0.16%.

기후변화 리스크 평가를 위한 생태계 유형분류 방안 검토 - 국내 토지피복분류 적용성을 중심으로 - (A Study on Categorizing Ecosystem Groups for Climate Change Risk Assessment - Focused on Applicability of Land Cover Classification -)

  • 여인애;배해진;홍승범
    • 환경영향평가
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    • 제26권6호
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    • pp.385-403
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    • 2017
  • 본 연구는 국내 생태분야 리스크 평가 및 적응대책 수립의 공간적 기준이 될 수 있는 생태계 유형분류방안 검토를 목적으로 하였다. 이를 위해, 생태분야 기후변화 리스크 평가와 적응대책의 특징, 국내외 리스크 평가에서 적용하는 생태계/서식지 유형분류 현황 및 관련 데이터를 조사하였다. 영국을 비롯하여 유럽 등지에서 일반적으로 생물종다양성 및 생태계서비스 평가를 위한 공간정보DB로 토지피복분류가 널리 활용되고 있음에 착안하여, 국내 토지피복분류의 적용성을 정량적으로 검토하였다. 그 결과, 기후변화 리스크 평가 및 적응대책 수립을 위한 생태계 유형분류 시 현재 국내 대분류 토지피복 체계만으로는 분류군별 서식 경향성을 거의 알 수 없기에 대분류를 그대로 적용하는 것은 한계가 있을 것으로 생각된다. 우리나라 국토 피복 전반을 차지하는 산림 생태계(62.3%) 및 농경지 생태계(25.0%) 유형의 세분화와 함께, 국토대비 면적은 작지만 다양한 분류군이 서식하는 습지생태계(2.9%), 특수 분류군이 서식하는 연안(0.4%) 및 해양생태계(0.6%), 도시생태계(6.1%)에 대한 분류가 고려되어야 한다. 추후 산림, 농경지 피복분류에 있어 중분류 체계 이하의 세분화가 필요하며, 국토 대비 면적에 비해 분류군의 서식지 선호비율이 높은 내륙습지, 해양/해안 서식지, 도시와 자연생태계의 전이지역 등에 대한 반영 역시 필요할 것으로 생각된다.