• 한국환경복원기술학회지
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• 제5권1호
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• pp.35-50
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• 2002

This study aims to understand wetland distribution and type-specific classification features with a focus on Tumen River downstream in China by adjusting and improving the classification system used in Korea with a reference to international wetland classification systems and their criteria & methods. In this study, wetland types were determined based on hydrology, vegetation, and soil conditions, which are the most basic elements of wetlands. Also, topography analytical map, vegetation analytical map, and soil analytical map for wetland classification were developed and used based on currently available topography map, vegetation map, and soil map. In addition, codes were defined based on topography, location, hydrology, and vegetation. The result shows that, in the Tumen River downstream, wetlands are often found near natural revetment and terrace land & river-bed lakes. In the discovered wetlands, riverine, lacustrine, and inland wetlands were mostly found at system level. Riparian and human-made wetlands were also identified. At a sub-system level, perennial and seasonal wetlands were found to a similar degree. At a class level, perennial open water, herbal plants, and shrubs were mostly found and sandy plain, hydrophytes, and forest tree types were also observed. An overall detailed classification shows that a total of 17 wetland types were found and a large distribution of sand dunes and river-bed lakes, which are scarce in Northeast Asia, indicates that other rare wetland types such as palustrine seasonal sand plain wetland and lacustrine seasonal sand plain wetland may be discovered.

• 한국환경복원기술학회지
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• 제13권6호
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• pp.117-131
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• 2010

This study was conducted to utilize as basic information for the construction of conservation and estimation system for Palustrine wetland, which was badly managed and imprudently reclaimed, through the analysis of distribution characteristics and the estimation of conservation value for sample sites (eight wetlands) in rural area. As the result of wetland type classification, these wetlands was classified by 4 types (Permanent freshwater marshes/pools, ponds, Aquaculture ponds, and Seasonally flooded agricultural land) by Ramsar system, 3 types (Emergent Wetland, Aquatic Bed, and Scrub-Shrub Wetland) by NWI (Cowardin) System, 5 types (Farm Pond Depression, Under-flow wetland, Man-made Pond Depression, Abandoned Paddy Fields Wetland, and Reservoir Shore) by National Wetland's Categorical System, and 3 types (Aquatic Bed Wetland, Emergent Wetland, and Forested Wetland) by Lee (2000) System. These results suggest us developing the new type classification system for small Palustrine wetland in Korean rural areas. The score of function assessment (The Modified RAM) for small Palustrine wetlands was high at the wetlands nearby hills and rice paddy fields, and low at those nearby upper fields, which was mainly affected by land-use and vegetation. The functions as 'Flood/Storm Water Storage', 'Runoff Attenuation', 'Water Quality Protection' were resulted by the structural difference of inflow and outlet. Some functions as 'Wetland size', 'Wetland to immediate watershed ratio', 'Presence of boat traffic', 'Maximum water depth', 'Fetch of water's body' of RAM were not appropriate in evaluation of small wetlands in rural area. Which suggest us developing the new function assessment system for small Palustirne wetland in Korean rural areas.

• 한국환경복원기술학회지
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• 제6권1호
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• pp.65-70
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• 2003

This research aims to classify wetland types and evaluate functions of a wetland created by abandoned rice paddies. The case study area is Ja-un wetland in Daejeon Metropolitan City. In this study, wetland types were classified based on the basic elements of wetlands such as hydrology, vegetation, and soil conditions. This study was carried out based upon field surveys, drawing maps and publication, and modified-RAM which can evaluate the general functions and conservation values of wetlands. The analysis shows that several types of wetlands were identified, such as Palustrine/ Perennial/ Hydrophytes, Palustrine/ Perennial/ Openwater, Palustrine/ Seasonal/Herbal, Palustrine/ Seasonal/ Shrub and Scrub, Palustrine/ Seasonal/ Hydrophye, and Riparian/ Seasonal/ Shrub and Scrub in the Ja-un wetland. The average level of functions of the wetlands is very "HIGH", and it is recommended that prompt conservation measures should be taken.

• 한국습지학회지
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• 제14권2호
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• pp.303-315
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• 2012

본 연구는 낙동강 하구 일대 습지의 생태계 특성과 변화를 파악하기 위해 습지목록을 제작하였다. 목록의 기초자료로 Landsat TM(1986년 4월 1일, 1987년 6월 23일, 1997년 6월 18일), Kompsat-2 (2008년 1월 12일) 인공위성 이미지, 항공 LiDAR (2009년 3월 1일) 자료와, 부산시에서 조사한 생물 모니터링 자료를 바탕으로 DB를 구축하였다. 습지목록의 활용방안으로, 시계열별 습지분류도 제작 및 시공간 분석, 경관 패턴 분석, 저서생물 분포 특성 등을 파악해 습지 생태계 관리에 도움이 되도록 하였으며 특히 3차원으로 제작된 습지지도는 습지의 경계설정과 습지의 동적 특성분석에 도움을 주어 이러한 기법들을 잘 활용한다면 우리나라 전역의 습지목록 개발에 이용될 수 있다.

• 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.

• 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.

• 대한원격탐사학회지
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• 제21권3호
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• pp.189-211
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• 2005

This paper makes an effort to compare the recently evolved soft classification method based on Linear Spectral Mixture Modeling (LSMM) with the traditional hard classification methods based on Iterative Self-Organizing Data Analysis (ISODATA) and Maximum Likelihood Classification (MLC) algorithms in order to achieve appropriate results for mapping, monitoring and preserving valuable coastal wetland ecosystems of southern India using Indian Remote Sensing Satellite (IRS) 1C/1D LISS-III and Landsat-5 Thematic Mapper image data. ISODATA and MLC methods were attempted on these satellite image data to produce maps of 5, 10, 15 and 20 wetland classes for each of three contrast coastal wetland sites, Pitchavaram, Vedaranniyam and Rameswaram. The accuracy of the derived classes was assessed with the simplest descriptive statistic technique called overall accuracy and a discrete multivariate technique called KAPPA accuracy. ISODATA classification resulted in maps with poor accuracy compared to MLC classification that produced maps with improved accuracy. However, there was a systematic decrease in overall accuracy and KAPPA accuracy, when more number of classes was derived from IRS-1C/1D and Landsat-5 TM imagery by ISODATA and MLC. There were two principal factors for the decreased classification accuracy, namely spectral overlapping/confusion and inadequate spatial resolution of the sensors. Compared to the former, the limited instantaneous field of view (IFOV) of these sensors caused occurrence of number of mixture pixels (mixels) in the image and its effect on the classification process was a major problem to deriving accurate wetland cover types, in spite of the increasing spatial resolution of new generation Earth Observation Sensors (EOS). In order to improve the classification accuracy, a soft classification method based on Linear Spectral Mixture Modeling (LSMM) was described to calculate the spectral mixture and classify IRS-1C/1D LISS-III and Landsat-5 TM Imagery. This method considered number of reflectance end-members that form the scene spectra, followed by the determination of their nature and finally the decomposition of the spectra into their endmembers. To evaluate the LSMM areal estimates, resulted fractional end-members were compared with normalized difference vegetation index (NDVI), ground truth data, as well as those estimates derived from the traditional hard classifier (MLC). The findings revealed that NDVI values and vegetation fractions were positively correlated ($r^2$= 0.96, 0.95 and 0.92 for Rameswaram, Vedaranniyam and Pitchavaram respectively) and NDVI and soil fraction values were negatively correlated ($r^2$ =0.53, 0.39 and 0.13), indicating the reliability of the sub-pixel classification. Comparing with ground truth data, the precision of LSMM for deriving moisture fraction was 92% and 96% for soil fraction. The LSMM in general would seem well suited to locating small wetland habitats which occurred as sub-pixel inclusions, and to representing continuous gradations between different habitat types.

• 한국습지학회지
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• 제6권3호
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• pp.55-70
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• 2004

습지생태계는 유수에 의한 침식과 퇴적활동, 수력에 의해 형성된 수문지형 단위, 계절적 변화 등 다양한 요소의 상호작용의 산물이다. 습지생태계는 복합적이고 다양한 생태적 기능을 발휘하면서, 더욱이 습지생태계 유형 자체의 다양성이 있을뿐 아니라, 유역과 같은 다른 생태계와의 경계선이 불명확한 것이 특징이다. 습지생태계에 영향을 미치는 요소의 분류와 통합적 이해가 필요함에도 불구하고 적절하고 체계적인 관리가 미흡하다. 과거 미국 야생동물 관리청(1979)에서 개발된 체계는 계와 아계, 강과 아강, 수영역 및 화학, 수문지형 단위, 우점 유형 등의 계층적 위계로 습지생태계를 분류하였다. 본 연구는 우리나라 습지생태계의 체계적이고 현명한 관리 체계 수립의 일환으로 미국 야생동물 관리청의 분류체계를 심층 검토, 분석하여 기 조사된 국내의 습지생태계에 적용함으로써 국내 습지생태계에 적합한 분류체계 개발의 가능성을 검증하고자 수행되었다. 분류 대상지로 선정된 우리나라 7개 습지생태계는 상위계급의 습지생태계 유형을 포함하였으며, 표본지점 중심의 제한적인 적용에도 불구하고 다양한 습지생태계 유형으로 분류되었다. 또한 3개의 소호소 습지생태계의 적용 결과에서는 무제치늪과 왕등재늪의 두 습지생태계가 수문지형 단위 체계까지는 동일한 유형으로 분류되었으나 우점/특정 유형이 다른 습지생태계로 분류되었다. 이에 비해 대암산 용늪의 경우 강(綱)수준에서 다른 유형으로 분류되어, 앞서의 두 습지생태계와는 다른 유형으로 분류되었다. 이러한 결과는 관리 및 보전 체계 정립에 있어서, 무제치늪과 왕등재늪은 동일한 수준에서 관리되어야 함을 의미한다. 지금까지 훼손되어 사라져버린 습지생태계의 정확한 양은 알 수 없으나, 남아있는 습지생태계를 보전할 수 있는 기회는 아직도 우리에게 있다. 무엇보다 시급한 일은 모든 습지생태계 유형의 정확한 분류와 목록 작성, 생태적 기능에 체계적인 조사 및 연구가 필요하다.

• 한국환경복원기술학회지
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• 제17권2호
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• pp.15-30
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• 2014

Systematic management of wetlands should be a priority to build the data for the extent and distribution of wetlands all over the country. However there are no clear guidelines for the wetland boundary delineation, so researchers have to determine the boundary of wetlands in each different way. As a result, it is very difficult to identify the extent and distribution of wetlands. This study proposes applicable criteria of setting boundary of wetlands which consider their wetland vegetation and geographical characteristics, according to wetland classification. The proposed site in this study is selected wetlands that represent each wetland type and have been ecologically well preserved like the wetland protected areas. GIS data for setting the boundary of wetlands selected were land-cover maps, aerial photographs, high resolution satellite images, and digital topographic maps. In this study, 'wetland unit determination' of the Washington State Wetlands Rating System(WSDE, 1993) and the concept of 'Wetland and Deep-water Habitats' was suggested by Wetland Delineation Manual(USACE, 1987) were used as criteria for setting the boundary of wetlands. As a result, it was found that the boundary of wetlands could be, in general, set consistently. Also, it seemed possible to set systematic and standardized boundary of wetlands and to provide more objective data for establishing national wetland policies, if maps of wetlands are made and an investigation of wetlands is implemented according to the criteria.

• 한국습지학회지
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• 제22권4호
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• pp.264-274
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• 2020

경상북도 울진군 서면 왕피천 유역 생태·경관 보전지역 내 천축산 자락의 고해발지역에 위치한 4개의 소규모 산지습지 식물군락의 다양성과 그 분포 특성을 밝히고자 한다. 서식처 유형과 종조성의 균질성을 고려한 Z.-M. 학파의 식물사회학적 식생조사 방법에 따라 총 26개의 식생자료가 수집되었다. 우점 상관에 따른 식생 구분과 종조성을 고려한 식생 유형분류를 통해 9개 단위식생으로 구성된 4개 상관형의 식생 분포가 확인되었다. 진퍼리새-꽃창포군락은 연구지역을 대표하면서 우점하는 식물군락이다. 인간의 이용 이후 방치된 균질한 입지에 자연천이로 식생이 발달하고 있으나 면적이 좁아 기타 식물군락의 분포는 드물게 관찰되었다. 습지별 미세지형과 수문환경은 식생의 다양성과 분포에 영향을 미치는 핵심요소로 확인되었다.