• Title/Summary/Keyword: dry land forest

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Influences of Forest Environmental Factors on Turbidity of Stream Water (산림환경인자가 계류수의 탁수화에 미치는 영향)

  • Ma, Ho-Seop;Kang, Won-Seok;Kang, Eun-Min
    • Journal of Korean Society of Forest Science
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    • v.101 no.4
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    • pp.574-578
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    • 2012
  • This study was carried out to clarify the influences of forest environmental factors on turbidity of Stream water on three stands (Castanea crenata, Pinus densiflora and Plantation Land) of small watershed in Samgyeri Naedong-myeon Jinju-si Gyeongsangnam-do. The relationship between turbidity and forest environmental factors was a positive correlation at 1% level with chromaticity, suspended solid, sediment runoff erosion, slope, rainfall intensity, preceding dry days, watershed area and stream length and at 5% level with accumulative rainfall. The important factors that affected turbidity in small watershed showed in order of preceding dry days, rainfall intensity, stream length, chromaticity and suspended solid. In the stepwise regression between turbidity and forest environmental factors, the estimation equation is as follow; Y=-28.125+0.047x (suspended solid)+0.058x (chromaticity)+1.518x (rainfall intensity)+0.264x (stream length)+1.837x (preceding dry days). The results indicates that dangerous areas of landslide and soil runoff by land use could be applied to the mitigation measures such as afforestation, erosion check dam and revetment for erosion control and water quality management in small watershed.

Analysis of Land Cover Classification and Pattern Using Remote Sensing and Spatial Statistical Method - Focusing on the DMZ Region in Gangwon-Do - (원격탐사와 공간통계 기법을 이용한 토지피복 분류 및 패턴 분석 - 강원도 DMZ일원을 대상으로 -)

  • NA, Hyun-Sup;PARK, Jeong-Mook;LEE, Jung-Soo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.18 no.4
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    • pp.100-118
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    • 2015
  • This study established a land-cover classification method on objects using satellite images, and figured out distributional patterns of land cover according to categories through spatial statistics techniques. Object-based classification generated each land cover classification map by spectral information, texture information, and the combination of the two. Through assessment of accuracy, we selected optimum land cover classification map. Also, to figure out spatial distribution pattern of land cover according to categories, we analyzed hot spots and quantified them. Optimal weight for an object-based classification has been selected as the Scale 52, Shape 0.4, Color 0.6, Compactness 0.5, Smoothness 0.5. In case of using the combination of spectral information and texture information, the land cover classification map showed the best overall classification accuracy. Particularly in case of dry fields, protected cultivation, and bare lands, the accuracy has increased about 12 percent more than when we used only spectral information. Forest, paddy fields, transportation facilities, grasslands, dry fields, bare lands, buildings, water and protected cultivation in order of the higher area ratio of DMZ according to categories. Particularly, dry field sand transportation facilities in Yanggu occurred mainly in north areas of the civilian control line. dry fields in Cheorwon, forest and transportation facilities in Inje fulfilled actively in south areas of the civilian control line. In case of distributional patterns according to categories, hot spot of paddy fields, dry fields and protected cultivation, which is related to agriculture, was distributed intensively in plains of Yanggu and in basin areas of Cheorwon. Hot spot areas of bare lands, waters, buildings and roads have similar distribution patterns with hot spot areas related to agriculture, while hot spot areas of bare lands, water, buildings and roads have different distributional patterns with hot spot areas of forest and grasslands.

Bird Communities in Rice Field and Grasslands during the Dry Season in the Mekong Delta, Cambodia

  • Kry, Msphal;Lee, Woo-Shin;Park, Sung Jin;Rhim, Shin-Jae
    • Journal of Korean Society of Forest Science
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    • v.98 no.2
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    • pp.197-202
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    • 2009
  • We studied bird communities among in rice field (46 plots), short grallland (47plot), and tall grass mixed shrub (21 plots) during dry season, January 2007 in Boeung Prek Lapouv (BPL) Important Bird Area, Mekong Delta, Cambodia using the point-count method. Water depth, vegetation height and shrub density were significantly different among the three study areas. We recorded, 60 bird species, of which 13 differed significantly among habitats. Landbirds such as Grey-breasted Prinia (Prinia hodgsonii) and Oliver-black Sunbird (Nectarinia jugularis) were much more abundant (P<0.0001) in the tall grass mixed shrub, whereas the Sarus Crane (Grus antigone), herons and egrets were more abundant in the short grass (P<0.05). Bird species richness and species abundances were not significantly different among habitats. Bird species diversity (H') was higher in grasslands than in rice fields. Mosaic habitat matrix, such as rice field, short grass, and tall grass mixed shrub, should be maintained for the extend and quality of wetlands, and the prevailing human-land use patterns, appear adequate and conductive for waterbirds in the Mekong Delta, Cambodia.

An analysis of year-to-year change of degraded forest land in Mongolia nature reserve Mt. Bogdkhan in Ulaanbaatar (몽골 울란바토르 복드한산 자연보호지역의 산림훼손지 경년변화 분석)

  • Ganzorig, Myagmar;Lee, Joon-Woo;Kweon, Hyeong-Keun;Choi, Sung-Min;Lee, Myeong-Kyo
    • Korean Journal of Agricultural Science
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    • v.41 no.3
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    • pp.205-211
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    • 2014
  • Focused on Mt. Bogdkhan nature reserve in Mongolia, this study was conducted as a fundamental research to discover a tendency and characteristics of forest damage and to draw up measures for proper plans of forest restoration through an analysis of year-to year change using satellite images. In specific, land cover mapping was conducted by using Landsat images from 1994 to 2011, and then year-to year change was analyzed to investigate the features of forest damage in Mt. Bogdkhan. The results showed that the whole area of a reservation in Mongolia in 2011 was about $416.89km^2$; among them, forest area was $167,87km^2$, accounting for about 40.3%, followed by bare patch and grassland area (58.6%) and urban dry area (1.1%). In particular, compared in 1994, the area of forest in 2011 has increased by $6.12km^2$; while bare patch and grassland area has decreased by $10.81km^2$. Primary causes of forest degradation occurred in Mt. Bogdkhan nature reserve included illegal logging for fuel, forest and grassland degradation caused by domestic animals grazing, man-made forest fire, and disaster caused by insect pest.

The Utilization of Google Earth Images as Reference Data for The Multitemporal Land Cover Classification with MODIS Data of North Korea

  • Cha, Su-Young;Park, Chong-Hwa
    • Korean Journal of Remote Sensing
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    • v.23 no.5
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    • pp.483-491
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    • 2007
  • One of the major obstacles to classify and validate Land Cover maps is the high cost of acquiring reference data. In case of inaccessible areas such as North Korea, the high resolution satellite imagery may be used for reference data. The objective of this paper is to investigate the possibility of utilizing QuickBird high resolution imagery of North Korea that can be obtained from Google Earth data via internet for reference data of land cover classification. Monthly MODIS NDVI data of nine months from the summer of 2004 were classified into L=54 cluster using ISODATA algorithm, and these L clusters were assigned to 7 classes - coniferous forest, deciduous forest, mixed forest, paddy field, dry field, water, and built-up areas - by careful use of reference data obtained through visual interpretation of the high resolution imagery. The overall accuracy and Kappa index were 85.98% and 0.82, respectively, which represents about 10% point increase of classification accuracy than our previous study based on GCP point data around North Korea. Thus we can conclude that Google Earth may be used to substitute the traditional reference data collection on the site where the accessibility is severely limited.

Biogeographic Feature of North Korean Ecosystem (북한 자연생태계의 생물지리적 특성)

  • Kong, Woo-Seok
    • Journal of Environmental Impact Assessment
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    • v.11 no.3
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    • pp.157-172
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    • 2002
  • This work aims to collect a biogeographic informations on the biota, alpine ecosystem, nature reserves, forest ecosystem of North Korea, and also to accumulate a basic data on the current situation and problem of the natural ecosystem of North Korea for the preparation of future cooperation and exchange between South and North Koreas. The obtained findings are as follow. First, North Korean biota contains 18,013 species, and consists of 6,710 plant species, including 3,860 species of vascular plants. Secondly, urgent investigation on the biogeographically important arctic-alpine and alpine plants and ecosystem, those are known to be endangered due to environmental change and global warming, is required. Thirdly, the conservations of diverse nature in North Korea are conducted by the introduction of various systems, such as nature preservation region, reserves for plant, animal and sea bird, and natural monuments. Fourthly, out of 9.5 million hectares of forest, one million hectares have already faced forest denudation, thus caused lots of damages for forest ecosystem. Sharp decline of North Korean forest land are due mainly to the expansion of terraced dry-field farming and deforestation. Recovery of denudated forest land should be approached by both South and North Korean sides to solve the problem of shortage of foods and restoration of natural ecosystem of North Korea.

Spatio-temporal change detection of land-use and urbanization in rural areas using GIS and RS - Case studies of Yongin and Anseong regions - (GIS와 RS를 이용한 농촌지역 토지이용 및 도시화 변화현상의 시공간 탐색 - 용인 및 안성지역을 중심으로 -)

  • Gao, Yujie;Kim, Dae-Sik
    • Korean Journal of Agricultural Science
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    • v.38 no.1
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    • pp.153-162
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    • 2011
  • This study analyzed the spatio-temporal change detection of land-use and urbanization in Yongin and Anseong regions, Kyunggi Province, using three Landsat-5 TM images for 1990, 1996, and 2000. Remote sensing (RS) and geographic information system (GIS) techniques were used for image classification and result analysis. Six land-use types were classified using supervised maximum likelihood classification. In the two study areas, the land-use changed significantly, especially the decrease of arable land and forest and increase of built-up area. Spatially, the urban expansion of Yongin region showed a spreading trend mainly along the national road and expressways. But in Anseong region the expansion showed 'urban sprawl phenomenon' with irregular shape like starfish. Temporally, the urban expansion showed disparity - the growth rates of urbanized area rose from the period 1990-1996 to 1996-2000 in both study areas. The increased built-up areas were converted mainly from paddy, dry vegetation, and forest.

Growth and Water Use Efficiency of Major Tree Species for Rehabilitation and the Impacts of Planting Trees on Microclimate Condition in Central Dry Zone of Myanmar (미얀마 건조지에서 주요 조림 수종의 생장과 수분이용효율 특성 및 조림이 건조지의 미세기상변화에 미치는 영향)

  • Park, Go Eun;Kim, Chan Beom;An, Jiae;Thang, Tluang Hmung;Maung, Wai Phyoe;Wai, Khaing Hsu;Kwon, Jino;Park, Chanwoo
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.18 no.4
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    • pp.327-336
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    • 2016
  • The Bagan, the central part of Myanmar, is dry zone where the mean annual precipitation is less than 600 mm for the last ten years. Forest in this region has been degraded due to biotic and abiotic disturbances. While there have been various efforts to rehabilitate the degraded area, the information on growth and physiological characteristics of planting species and the impacts of planting trees in the region still lacks. Therefore, this study was conducted to determine the growth and physiological water use efficiency characteristics of five species (Azadirachta indica A. Juss., Acacia catechu Willd., Eucalyptus camaldulensis Dehn., Acacia leucophloea (Roxb.) Willd. and Albizia lebbek (L.) Willd.) which are utilized as rehabilitation species in the dry zone and to identify the impacts of tree planting on microclimate change in dry zone. The growth and the foliar carbon isotope composition of seedlings and the above mentioned five species planted in 2005 were measured. And from February 2015 to January 2016, microclimatic factors air temperature and relative humidity at 60 cm and 2 m above soil, soil temperature, soil water contents and precipitation were measured at every 30-minute interval from the two weather stations installed in the plantation located in Ngalinpoke Mt. Range. One was established in the center of A. indica plantation, and the other was in the barren land fully exposed to the sunlight. Among the five species, A. indica and A. lebbek which showed higher water use efficiency could be recommended as rehabilitation species in dry zone. Planting trees in the dry area was shown to affect the change of microclimate with shading effects, declining temperature of the land surface and aridity of the air, and to contribute to conserving more water in soil by preventing direct evaporation and containing more water with fine roots of trees.

A Prediction of the Land-cover Change Using Multi-temporal Satellite Imagery and Land Statistical Data: Case Study for Cheonan City and Asan City, Korea (다중시기 위성영상과 토지 통계자료를 이용한 토지피복 변화 예측: 천안시·아산시를 사례로)

  • KIM, Chansoo;PARK, Ji-Hoon;JANG, Dong-Ho
    • Journal of The Geomorphological Association of Korea
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    • v.18 no.1
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    • pp.41-56
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    • 2011
  • This study analyzes the change in land-cover based on satellite imagery to draw up land-cover map in the future, and estimates the change in land category using statistical data of the land category. To estimate land category, this study applied the double exponentially smoothing method. The result of the land cover classification according to year using satellite imagery showed that the type with the largest increase in area of land cover change in the cities of Cheonan and Asan was artificial structure, followed by water, grass field and bare land. However forest, paddy, marsh and dry field were reduced. Further, the result of the time-series analysis of the land category was found to be similar to the result of the land cover classification using satellite imagery. Especially, the result of the estimation of the land category change using the double exponentially smoothing method showed that paddy, dry field, forest and marsh are anticipated to consistently decrease in area from 2010 to 2100, whereas artificial structure, water, bare land and grass field are anticipated to consistently increase. Such results can be utilized as basic data to estimate the change in land cover according to climate change in order to prepare climate change response strategies.

THE LAND COVER MAPPING IN NORTH KOREA USING MODIS IMAGE;THE CLASSIFICATION ACCURACY ENHANCEMENT FOR INACCESSIBLE AREA USING GOOGLE EARTH

  • Cha, Su-Young;Park, Chong-Hwa
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.341-344
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    • 2007
  • A major obstacle to classify and validate Land Cover maps is the high cost of generating reference data or multiple thematic maps for subsequent comparative analysis. In case of inaccessible area such as North Korea, the high resolution satellite imagery may be used as in situ data so as to overcome the lack of reliable reference data. The objective of this paper is to investigate the possibility of utilizing QuickBird (0.6m) of North Korea obtained from Google Earth data provided thru internet. Monthly NDVI images of nine months from the summer of 2004 were classified into L=54 cluster using ISODATA algorithm, and these L clusters were assigned to 7 classes; coniferous forest, deciduous forest, mixed forest, paddy field, dry field, water and built-up area. The overall accuracy and Kappa index were 85.98% and 0.82, respectively, which represents about 10% point increase of classification accuracy than our previous study based on GCP point data around North Korea. Thus we can conclude that Google Earth may be used to substitute the traditional in situ data collection on the site where the accessibility is severely limited.

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