• Journal of Cadastre & Land InformatiX
• /
• v.52 no.1
• /
• pp.95-104
• /
• 2022

This study aims to find the exact area of the forest fire in Okgye-myeon, Gangneung, April 4, 2019. Since there is a gradient in our country's forests, we should find a surface area that takes into account The 5th numerical clinical map provided by the DEM and the Korea Forest Service provided by the National Geographic Information Service was used. In DEM, the center point of each pixel was created and all points were connected. The length of the connecting line is determined by the spatial resolution of the pixel and the cosine value, and the surface area is obtained along with the height value, which is called the Slope-Aspect algorithm. The surface area and floor area of the forest were shown according to the tree species and types of forest, and their quantitative numerical differences proved the validity of this study.

• Journal of Forest and Environmental Science
• /
• v.34 no.6
• /
• pp.461-471
• /
• 2018

In this study, the deforestation and forest degradation areas have been obtained in Myanmar using a land cover lamp (LCM) and a tree cover map (TCM) to get the $CO_2$ potential reduction and the strength of occurrence was evaluated by using the geostatistical technique. By applying a multiple criteria decision-making method to the regions having high strength of occurrence for the $CO_2$ potential reduction for the deforestation and forest degradation areas, the priority was selected for candidate lands for REDD+ project. The areas of deforestation and forest degradation were 609,690ha and 43,515ha each from 2010 to 2015. By township, Mong Kung had the highest among the area of deforestation with 3,069ha while Thlangtlang had the highest in the area of forest degradation with 9,213 ha. The number of $CO_2$ potential reduction hotspot areas among the deforestation areas was 15, taking up the $CO_2$ potential reduction of 192,000 ton in average, which is 6 times higher than that of all target areas. Especially, the township of Hsipaw inside the Shan region had a $CO_2$ potential reduction of about 772,000 tons, the largest reduction potential among the hotpot areas. There were many $CO_2$ potential reduction hot spot areas among the forest degradation area in the eastern part of the target region and has the $CO_2$ potential reduction of 1,164,000 tons, which was 27 times higher than that of the total area. AHP importance analysis showed that the topographic characteristic was 0.41 (0.40 for height from surface, 0.29 for the slope and 0.31 for the distance from water area) while the geographical characteristic was 0.59 (0.56 for the distance from road, 0.56 for the distance from settlement area and 0.19 for the distance from Capital). Yawunghwe, Kalaw, and Hsi Hseng were selected as the preferred locations for the REDD+ candidate region for the deforestation area while Einme, Tiddim, and Falam were selected as the preferred locations for the forest degradation area.

• Journal of Climate Change Research
• /
• v.4 no.2
• /
• pp.177-188
• /
• 2013

In this research, forest cover distribution change, forest volume and carbon stock in Yongin-city, Gyeonggi procince were estimated focused on the forest of Yongin-City using forest type map and HyTAG model in relation to climate change. Present forest volume of Yongin-city was estimated using the data from $5^{th}$ Forest Type Map and Korean National Forest Inventory (NFI). And for the future 100 years potential forest distribution by 10-year interval were estimated using HyTAG model. Forest volume was also calculated using algebraic differences form of the growth model. According to the $5^{th}$ Forest Type Map, present needleleaf forest occupied 37.8% and broadleaf forest 62.2% of forest area. And the forest cover distribution after 30 years would be changed to 0.13% of needleleaf forest and 99.97% of broadleaf forest. Finally, 60 years later, whole forest of Yongin-city would be covered by broad-leaf forest. Also the current forest carbon stocks was measured 1,773,862 tC(56.79 tC/ha) and future carbon stocks after 50 years was predicted to 4,432,351 tC(141.90 tC/ha) by HyTAG model. The carbon stocks after 100 years later was 6,884,063 tC (220.40 tC/ha). According to the HyTAG model prediction, Pinus koraiensis, Larix kaempferi, Pinus rigida, and Pinus densiflora are not suitable to the future climate of 10-year, 30-year, 30-year, and 50-year later respectively. All Quercus spp. was predicted to be suitable to the future climate.

• Korean Journal of Remote Sensing
• /
• v.34 no.4
• /
• pp.671-680
• /
• 2018

Compared to the imagery produced by traditional satellites, PlanetScope satellite imagery has made it possible to easily capture remotely-sensed imagery every day through dozens or even hundreds of satellites on a relatively small budget. This study aimed to detect changed areas and update a land cover map using a PlanetScope image. To generate a classification map, pixel-based Random Forest (RF) classification was performed by using additional features, such as the Normalized Difference Water Index (NDWI) and the Normalized Difference Vegetation Index (NDVI). The classification result was converted to vector data and compared with the existing land cover map to estimate the changed area. To estimate the accuracy and trends of the changed area, the quantitative quality of the supervised classification result using the PlanetScope image was evaluated first. In addition, the patterns of the changed area that corresponded to the classification result were analyzed using the PlanetScope satellite image. Experimental results found that the PlanetScope image can be used to effectively to detect changed areas on large-scale land cover maps, and supervised classification results can update the changed areas.

• Korean Journal of Environment and Ecology
• /
• v.29 no.1
• /
• pp.46-61
• /
• 2015

The purpose of this study is to investigate a vegetation structure around Tongdosa temple forest and provincial park and to provide preliminary data. In order to look over the vegetation status, an actual vegetation map was drawn around study area. Vegetation structure survey was carried out for 6 representative communities of actual vegetation which were Quercus variavilis community, Carpinus tschonoskii community, Pinus densiflora community, P. densiflora-Broadleaf deciduous Forest community, Q. mongolica community and Broadleaf deciduous Forest community. The area of the Tongdosa district measured $29,202,262m^2$. Actual vegetation type were divided into 35 types, and the ratio of Q. variavilis community was 32.35 % ($9,447,932m^2$). To investigate the structure of 6 representative communities, 58 plots were set up and unit area plots measured $100m^2$. The estimated age of the forest is 50~100-years-old and the oldest tree P. densiflora is 113-years-old.

• Journal of Korean Society on Water Environment
• /
• v.31 no.6
• /
• pp.680-692
• /
• 2015

A landcover map watershed of downstream reach in the Gyungan stream was made by using the existing land use map and interpreting satellite images and aerial photos. Based on the map, we analyzed land use patterns of this basin. Broad-leaved forest occupied the largest area among landscape elements established in this watershed. The total area of the zone designated as the waterside district by the central government was 4.7 km² , and broad-leaved forest occupied the largest area as 33.9% in this zone. Therefore, the area did not meet the qualifications of riparian zones. Riparian vegetation established in the Gyungan stream watershed was composed of Phragmites communis, Miscanthus sacchariflorus, Salix gracilistyla, Salix koreensis. But terrestrial vegetation elements such as Ambrosia trifida, Ailanthus altissima, Robinia pseudoacacia also appeared in this area. On the other hand, Phragmites japonica, Salix gracilistyla, Salix koreensis, Salix integra, Ulmus davidiana and so on appeared in the riparian zone the reference streams. Differently from the vegetation established on the reference streams, terrestrial vegetation elements appeared frequently in the Gyungan stream watershed. This result would be due to that the Gyungan stream watershed is exposed to excessive human interferences.

• Journal of The Geomorphological Association of Korea
• /
• v.27 no.3
• /
• pp.87-103
• /
• 2020

The purpose of this study is to evaluate the risk of cropland and man-made infrastructures in a landslide-prone area using a GIS-based method. To achieve this goal, a landslide inventory map was prepared based on aerial photograph analysis as well as field observations. A total of 550 landslides have been counted in the entire study area. For model analysis and validation, extracted landslides were randomly selected and divided into two groups. The landslide causative factors such as slope, aspect, curvature, topographic wetness index, elevation, forest type, forest crown density, geology, land-use, soil drainage, and soil texture were used in the analysis. Moreover, to identify the correlation between landslides and causative factors, pixels were divided into several classes and frequency ratio was also extracted. A landslide susceptibility map was constructed using a bayesian predictive model (BPM) based on the entire events. In the cross validation process, the landslide susceptibility map as well as observation data were plotted with a receiver operating characteristic (ROC) curve then the area under the curve (AUC) was calculated and tried to extract a success rate curve. The results showed that, the BPM produced 85.8% accuracy. We believed that the model was acceptable for the landslide susceptibility analysis of the study area. In addition, for risk assessment, monetary value (local) and vulnerability scale were added for each social thematic data layers, which were then converted into US dollar considering landslide occurrence time. Moreover, the total number of the study area pixels and predictive landslide affected pixels were considered for making a probability table. Matching with the affected number, 5,000 landslide pixels were assumed to run for final calculation. Based on the result, cropland showed the estimated total risk as US $ 35.4 million and man-made infrastructure risk amounted to US $ 39.3 million.

• Journal of the Korean Geographical Society
• /
• v.47 no.5
• /
• pp.654-676
• /
• 2012

This study aims to develop an ecoregion classification using a multi-hierarchy of environmental factors for spatial patterns in the capacities and potentials of ecological systems in mountain regions. To achieve the objectives, we describe the spatial distribution of environmental factors and identify the multi-hierarchy of these factors using spatial statistics. Lastly, we assess ecosystem-units using both a forest type map (yung & kung) and a forest soil map in order to present a ecoregion classification. This study was performed at a $1,168km^2$ area in Gangwon-do, Korea. Sedimentary rocks, particularly limestone (36.6%) exist in high proportions in the research area. While higher mountains are present in the north and central Korean peninsula, plain areas show large proportions along Odae and Pyeongchang river. In a multi-hierarchy, geology and elevation are identified as upper levels and landform classification (surface curvature, upslope area) is considered as a lower level. 'Geology+elevation+landform' shows equally higher ${\chi}^2$ values than that of other classifications and we map ecoregions based on this result. Uniqueness of environmental characteristics in the research area such as high proportions of sedimentary rocks and higher elevations influences our ecoregion classification. We are looking forward to considering this study as an effective approach to integrating various ecological themes for mountain ecosystem management.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.10 no.1
• /
• pp.23-35
• /
• 2007

Nowadays, as a result of increasing income and spare time, the social demands for better living environment become more increasing. Above all, landscape improvement, the essential part of physical environment, will be a more important subject in urban planning. In these circumstances, classification of urban scenic quality is required for urban landscape development programs. The major purpose of this study is to suggest a technical method of designing urban scenic quality map for urban district area based on the scenery management system of the USDA forest service and literature studies. As a conclusion of this study, four steps are desirable for the technical method for designing a scenic quality map of urban districts areas : 1) Define a landscape unit on the map, 2) Take a photograph of these landscape unit on site, 3) Evaluate the landscape unit by semantic differential scale with landscape adjectives, and 4) Draw the scenic quality map, investigate the landscape characteristics and suggest the landscape scenic development plans.

• Journal of Korean Society of Forest Science
• /
• v.86 no.2
• /
• pp.241-250
• /
• 1997

The study was conducted to make a map for selecting righteous tree species for each site by digital terrain analysis. We set an algorithmic value for each tree species' characteristics with distribution pattern analysis, and the soil types were digitized from data indicated on soil map. Mean altitude, slope, aspect and micro-topography were estimated from the digital map for each block which had been calculated by regression equations with altitude. The results obtained from the study could be summarized as follows 1. We could develope a method to select righteous tree species for a given site with concern of soil, forest condition and topographic factors on Muju-Gun in Chonbuk province(2,500ha) by the terrain analysis and multi-variate digital map with a personal computer. 2. The brown forest soils were major soil types for the study area, and 29 tree species were occurred with Pinus densiflora as a dominant species. The differences in site condition and soil properties resulted in site quality differences for each tree species. 3. We tried to figure out the accuracy of a basic program(DTM.BAS) enterprised for this study with comparing the mean altitude and aspect calculated from the topographic terrain analysis map and those from surveyed data. The differences between the values were less than 5% which could be accepted as a statistically allowable value for altitude, as well as the values for aspect showed no differences between both the mean altitude and aspect. The result may indicate that the program can be used further in efficiency. 4. From the righteous-site selection map, the 2nd group(R, $B_1$) took the largest area with 46% followed by non-forest area (L) with 23%, the 5th group with 7% and the 4th group with 5%, respectively. The other groups occupied less than 6%. 5. We suggested four types of management tools by silvicultural tree species with considering soil type and topographic conditions.