• Title/Summary/Keyword: Forest Information Map

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Analysis of Soil Erosion Hazard Zone using GIS (GIS를 이용한 토양침식 위험지역 분석)

  • Kim, Joo-Hun;Kim, Kyung-Tak;Yeon, Gyu-Bang
    • Journal of the Korean Association of Geographic Information Studies
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    • v.6 no.2
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    • pp.22-32
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    • 2003
  • The purpose of this study is to analyze soil erosion quantity of a basin by using DEM, soil map and landuse map and to find a soil erosion hazard zone in a basin based on this data. In this study, RUSLE was used to analyze soil loss quantity and the research area chosen is Mushim stream which branches off the Geum river. This study used a mean annual precipitation of Cheongju Meteorological Observation was used as a hydrological data and DEM, the detailed soil map(1/25,000), the landuse map collected respectively from Ministry of Environment, National Institute of Agricultural Science and Technology and Ministry of Construction and Transportation. The subject map was drawn to analyze soil erosion hazard zone by using the above data and maps. According to the results of the analysis, a lot of soil loss shows in a bare area. In case of a forest, a slope has a lot of influence on soil loss. The integration and analysis of the above gave the result that $193,730.3m^2$corresponding to 8.5% of the places of which the slope is over 20 degree in a bare area was found to have a higher chance of soil erosion.

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Developing Dominant Tree Height Growth Curve and Site Index Curves for Pinus densiflora and Chamaecyparis obtusa Grown in Jeolla-do (전라도 지역 소나무와 편백에 대한 수고생장모델 및 지위지수곡선 개발)

  • Park, Hee-Jung;Lee, Sang-Hyun
    • Journal of Korean Society of Forest Science
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    • v.108 no.3
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    • pp.364-371
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    • 2019
  • This study was conducted to provide the basic information for a reasonable forest management plan and sustainable forest management by developing a dominant tree height growth model using diameter at breast height (DBH) and site index curves for Pinus densiflora and Chamaecyparis obtusa growing in Jeolla-do. The altitude, slope, orientation, soil type, height and DBH of a dominant tree, and the ages of trees were measured for 3055 Pinus densiflora trees (611 plots) and 3345 Chamaecyparis obtusa trees (699 plots), and these data were used to develop a customized afforestation map. In the dominant tree height growth model, the relationship to DBH was used in the Petterson, Michailow, and log equations. Also, a dominant tree height growth model in relationship to age used the Chapman-Richards, Schumacher, and Gompertz equations. The Petterson equation, which has a lower mean square error, was used to model dominant tree height growth in relationship to DBH. In the model of dominant tree height growth in relationship to age, three kinds of equations were considered to have little statistical difference. Therefore, the Chapman-Richards equation was chosen for modeling on the national level. Thirtyyears was used as the base age, which is an important factor for estimating the site index curves. In the results, a more varied range of site index family curves with 6-18 was developed for Pinus densiflora, and with 6-22 for Chamaecyparis obtusa. As the new site index curves indicated influences on growth of Pinus densiflora and Chamaecyparis obtusa, a reasonable forest management plan will be possible in the future for Jeolla-do.

Habitat Distribution of Tiger, Wolf, and Leopard in Joseonwangjosilok (조선왕조실록에 나타난 호랑이, 늑대, 표범의 서식분포)

  • Kim, Nam-Shin;Cha, Jin-Yeol;Lee, Seung-Eun;Lim, Chi-Hong
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.22 no.4
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    • pp.35-45
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    • 2019
  • The objective of this study is to analyze habitat distribution on tiger, wolf, and leopard in Joseonwangjosilok. Nowaday, we only come to meet these kind of animals at the historical records because of haman-induced habitat encroachment. Historically, extinct animal became an object of game by people. So, we try to get distribution information for restoration on historical extinct animals. We made distribution map by constructing 402 counts on tiger(350), leopard(51) and wolf(1) recordsfrom 14th to Early 20th century for study. Analyzing historical materials, criteria for data analysis took into account objectivity, location information, accuracy for extinct animals. We carried out location identification of animals by using geocoding comparing with geographical name of the Joseon Dynasty period, topographic map of time under the rule of Japanese imperialism, present place name and historical materials. Database items are constructed 20 types for example appearance year of animal, population, location, damage, etc. As a result of analysis for appearance regions, tigers were recorded in capital area of higher density population intensively, and also were frequently seen at Daegu, Andong etc. Leopard and wolf were founded at regionally Gyeonggi-do and Jinju with limitation, relatively seen a few number. The reason of the appearance records like this, tiger prefer game of open and water-front area in near human residential area, there are lots of historical records such as 'Hosang'(mourning someone who killed by Tiger) and hunting. But leopard and wolf inhabit rocky area and dense forest, the reason why they made a few contact with human. Results of this are expect to be applicable restoration research for extinct animal by providing for populations, habitat environments and distribution information.

Research on the Production of Risk Maps on Cut Slope Using Weather Information and Adaboost Model (기상정보와 Adaboost 모델을 이용한 깎기비탈면 위험도 지도 개발 연구)

  • Woo, Yonghoon;Kim, Seung-Hyun;Kim, Jin uk;Park, GwangHae
    • The Journal of Engineering Geology
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    • v.30 no.4
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    • pp.663-671
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    • 2020
  • Recently, there have been many natural disasters in Korea, not only in forest areas but also in urban areas, and the national requirements for them are increasing. In particular, there is no pre-disaster information system that can systematically manage the collapse of the slope of the national highway. In this study, big data analysis was conducted on the factors causing slope collapse based on the detailed investigation report on the slope collapse of national roads in Gangwon-do and Gyeongsang-do areas managed by the Cut Slope Management System (CSMS) and the basic survey of slope failures. Based on the analysis results, a slope collapse risk prediction model was established through Adaboost, a classification-based machine learning model, reflecting the collapse slope location and weather information. It also developed a visualization map for the risk of slope collapse, which is a visualization program, to show that it can be used for preemptive disaster prevention measures by identifying the risk of slope due to changes in weather conditions.

Development of Mean Stand Height Module Using Image-Based Point Cloud and FUSION S/W (영상 기반 3차원 점군과 FUSION S/W 기반의 임분고 분석 모듈 개발)

  • KIM, Kyoung-Min
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.4
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    • pp.169-185
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    • 2016
  • Recently mean stand height has been added as new attribute to forest type maps, but it is often too costly and time consuming to manually measure 9,100,000 points from countrywide stereo aerial photos. In addition, tree heights are frequently measured around tombs and forest edges, which are poor representations of the interior tree stand. This work proposes an estimation of mean stand height using an image-based point cloud, which was extracted from stereo aerial photo with FUSION S/W. Then, a digital terrain model was created by filtering the DSM point cloud and subtracting the DTM from DSM, resulting in nDSM, which represents object heights (buildings, trees, etc.). The RMSE was calculated to compare differences in tree heights between those observed and extracted from the nDSM. The resulting RMSE of average total plot height was 0.96 m. Individual tree heights of the whole study site area were extracted using the USDA Forest Service's FUSION S/W. Finally, mean stand height was produced by averaging individual tree heights in a stand polygon of the forest type map. In order to automate the mean stand height extraction using photogrammetric methods, a module was developed as an ArcGIS add-in toolbox.

An Quantitative Analysis of Severity Classification and Burn Severity for the Large Forest Fire Areas using Normalized Burn Ratio of Landsat Imagery (Landsat 영상으로부터 정규탄화지수 추출과 산불피해지역 및 피해강도의 정량적 분석)

  • Won, Myoung-Soo;Koo, Kyo-Sang;Lee, Myung-Bo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.3
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    • pp.80-92
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    • 2007
  • Forest fire is the dominant large-scale disturbance mechanism in the Korean temperate forest, and it strongly influences forest structure and function. Moreover burn severity incorporates both short- and long-term post-fire effects on the local and regional environment. Burn severity is defined by the degree to which an ecosystem has changed owing to the fire. Vegetation rehabilitation may specifically vary according to burn severity after fire. To understand burn severity and process of vegetation rehabilitation at the damaged area after large-fire is required a lot of man powers and budgets. However the analysis of burn severity in the forest area using satellite imagery can acquire rapidly information and more objective results remotely in the large-fire area. Space and airbone sensors have been used to map area burned, assess characteristics of active fires, and characterize post-fire ecological effects. For classifying fire damaged area and analyzing burn severity of Samcheok fire area occurred in 2000, Cheongyang fire in 2002, and Yangyang fire in 2005 we utilized Normalized Burn Ratio(NBR) technique. The NBR is temporally differenced between pre- and post-fire datasets to determine the extent and degree of change detected from burning. In this paper we use pre- and post-fire imagery from the Landsat TM and ETM+ imagery to compute the NBR and evaluate large-scale patterns of burn severity at 30m spatial resolution. 65% in the Samcheok fire area, 91% in the Cheongyang fire area and 65% in the Yangyang fire area were corresponded to burn severity class above 'High'. Therefore the use of a remotely sensed Differenced Normalized Burn Ratio(${\Delta}NBR$) by RS and GIS allows for the burn severity to be quantified spatially by mapping damaged domain and burn severity across large-fire area.

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Vegetation Height and Age Estimation using Shuttle Radar Topography Mission and National Elevation Datasets (SRTM과 NED를 이용한 식생수고 및 수령 추정)

  • Kim, Jin-Woo;Heo, Joon;Sohn, Hong-Gyoo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.1D
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    • pp.203-209
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    • 2006
  • SAR (Synthetic Aperture Radar) technology, which is not influenced by cloud cover because of using electromagnetic wave of long wavelength, has an advantage in mapping the earth. NASA, recognizing these strong points of SAR, launched SRTM (Shuttle Radar Topography Mission), and acquired the topographic information of the earth. SRTM and NED (National Elevation Data) of USGS were used for the research and vegetation height map was produced through differentiating the two data. Correlation between SRTM-NED and planting year was analyzed to see the relationship. Strong correlation was detected and it shows the feasibility of estimating timber age and eventually creating timber age map from SRTM-NED. Additional analyses were conducted to check if the linearity is influenced by regional characteristics and forest uniformity. As results, the correlation between SRTM-NED and timber age is influenced by roughness of the terrain. Overall, this paper shows that timber age estimation using SRTM and NED can be sufficiently practical.

Agroclimatic Maps Augmented by a GIS Technology (디지털 농업기후도 해설)

  • Yun, Jin-I.
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.12 no.1
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    • pp.63-73
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    • 2010
  • A comprehensive mapping project for agroclimatic zoning in South Korea will end by April 2010, which has required 4 years, a billion won (ca. 0.9 million US dollars) and 22 experts from 7 institutions to complete it. The map database from this project may be categorized into primary, secondary and analytical products. The primary products are called "high definition" digital climate maps (HD-DCMs) and available through the state of the art techniques in geospatial climatology. For example, daily minimum temperature surfaces were prepared by combining the climatic normals (1971-2000 and 1981-2008) of synoptic observations with the simulated thermodynamic nature of cold air by using the raster GIS and microwave temperature profiling which can quantify effects of cold air drainage on local temperature. The spatial resolution of the gridded climate data is 30m for temperature and solar irradiance, and 270m for precipitation. The secondary products are climatic indices produced by statistical analysis of the primary products and includes extremes, sums, and probabilities of climatic events relevant to farming activities at a given grid cell. The analytical products were prepared by driving agronomic models with the HD-DCMs and dates of full bloom, the risk of freezing damage, and the fruit quality are among the examples. Because the spatial resolution of local climate information for agronomic practices exceeds the current weather service scale, HD-DCMs and the value-added products are expected to supplement the insufficient spatial resolution of official climatology. In this lecture, state of the art techniques embedded in the products, how to combine the techniques with the existing geospatial information, and agroclimatic zoning for major crops and fruits in South Korea will be provided.

Analysis of Changes in Land Use of Hills Using Time Series Data (시계열 자료를 활용한 야산의 토지이용 변화 분석)

  • Park, Jong-Chul;Kim, Man-Kyu
    • Journal of the Korean Association of Geographic Information Studies
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    • v.13 no.3
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    • pp.102-118
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    • 2010
  • Since hills are transitional area between plains and mountains, they are always under pressure to be developed. In the past, hills were recognized as areas that can be developed easily, but in the present they should be considered and preserved as forest resources. So far, little research has been done regarding cultivation status and transitional procedure. This study attempts to quantify changes in land use using time series data. To do so, this study has created a land use map for 1915, 1972, 2002 and 2006, and conducted a spatial analysis based on GIS. The research areas(the total size of the hills are 3,034 ha) are located in Chungcheongnam-do of South Korea. The size of the forest area of the hills in the research zone has decreased by 50% during the period of 1915 to 2006. The size of the reduced forest area after 2002 is similar to size of the reduced area that had taken place for the last 30 years before 2002. The reduction in forest area in the research area has led to increases in paddy field, upland field, artificial structures, and bare land. From 1915 to the late 1980s, hill development had been related to the primary industry and after the late 1980s, it has associated with the development of the secondary industry including industrial complex.

The Ecological Diagnosis of the Vegetation in Urban Neighborhood Park -In case of Hwasan Park, Chonju- (도시근린공원 식생의 생태학적 진단 -전주화산공원을 중심으로-)

  • Kim, Chang-Hwan;Myung, Hyun
    • Journal of the Korean Institute of Landscape Architecture
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    • v.28 no.6
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    • pp.62-76
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    • 2001
  • This study is to offer the basic information and materials for the restoration of the urban forest and the ecologically healthy and continuous green belt through the investigation and the analysis on the vegetation in Hwasan Park, Chonju-City. The flora of Hwasan Neighborhood park was composed of 86 families 230 genera, 261 species, 35 varieties, 1 formae or 298 Taxa. Among them, calculation of Pte-Q Index represented 0.60, Fisher's Index. Some characteristics of the plants in this area have represented such as Th-D1-R5 type in biological type, erect form(64.6%) in growth type, 30 taxa in naturalized plants. The life form spectra investigated from Hwasan neighborhood park was recognized as the following M"17.4%, N:11.4%, E:0.3%, Ch:0%, H:29.8%, G:6.7%, HH:0%, Th:34.2%. By the Z-M method 5 plant communities and 3 afforestation were recognized; Quercus variabilis community, Q.acutissima community, Q.serrata community, Sorbus alnifolia community, Pinus densiflora community, P.rigida afforestation, Robinia pseudo-acacia afforestation and Larix leptolepis afforestation. The actual vegetation map constructed on the grounds of the communities classified and other data. The pattern of successional trend of tree species might be suggested: L. leptoleipis, P. rigida and P. densifloralongrightarrowQ.variabilis and Q.acutissimalongrightarrowS.alnifolia and Q.serratalongrightarrowCarpinus tschonoskii community. Three measurements of species diversity (richness index(SR), Shannon-Wiener index(H'), evenness index(J')) and their relationship with community type were studied in the surveyed plant communities. Q.serrata community was higher in SR, H', J' than the other communities, whereas R.pseduo-acacia afforestation was low. Finally, The vegetation of the Hwasan neighborhood park must not allowed any more. Nothing ca be better than native states in preserving the ecosystems.tems.

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