• Korean Journal of Remote Sensing
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• v.37 no.6_1
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• pp.1757-1766
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• 2021

The green coverage ratio is the ratio of the land area to green coverage area, and it is used as a practical urban greening index. The green coverage ratio is calculated based on the land cover map, but low spatial resolution and inconsistent production cycle of land cover map make it difficult to calculate the correct green coverage area and analyze the precise green coverage. Therefore, this study proposes a new method to calculate green coverage area using aerial images and deep neural networks. Green coverage ratio can be quickly calculated using manned aerial images acquired by local governments, but precise analysis is difficult because components of image such as acquisition date, resolution, and sensors cannot be selected and modified. This limitation can be supplemented by using an unmanned aerial vehicle that can mount various sensors and acquire high-resolution images due to low-altitude flight. In this study, we proposed a method to calculate green coverage ratio from manned or unmanned aerial images, and experimentally verified the proposed method. Aerial images enable precise analysis by high resolution and relatively constant cycles, and deep learning can automatically detect green coverage area in aerial images. Local governments acquire manned aerial images for various purposes every year and we can utilize them to calculate green coverage ratio quickly. However, acquired manned aerial images may be difficult to accurately analyze because details such as acquisition date, resolution, and sensors cannot be selected. These limitations can be supplemented by using unmanned aerial vehicles that can mount various sensors and acquire high-resolution images due to low-altitude flight. Accordingly, the green coverage ratio was calculated from the two aerial images, and as a result, it could be calculated with high accuracy from all green types. However, the green coverage ratio calculated from manned aerial images had limitations in complex environments. The unmanned aerial images used to compensate for this were able to calculate a high accuracy of green coverage ratio even in complex environments, and more precise green area detection was possible through additional band images. In the future, it is expected that the rust rate can be calculated effectively by using the newly acquired unmanned aerial imagery supplementary to the existing manned aerial imagery.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.15 no.6
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• pp.69-77
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• 2012

This study observes the purchased lands in riparian areas of Suncheon City region and proposes a reasonable management method. For the study, the site surveying and analysis on the neglected purchased lands is executed, then, based on the site analysis result, the appropriate management method for each neglected purchased land is established. Each management method is approached from the ecological restoration perspective. According to site surveying and analysis of the neglected purchased lands, most of the sites were bare and agricultural lands. The reason for this is thought to be as when purchasing a land, the areas with higher nonpoint source pollution are bought preferentially. As for the dominant species coverage, 26% ($364,000m^2$) of the total neglected purchased land area in Sucheon City was covered with the dominated species, and for the exotic species coverage, 17% ($232,000m^2$) of the total neglected purchased land area in Sucheon City was covered with the exotic species. The survey site constituted of five different invasive species such as Japanese Hop (Humulus japonicus), Daisy Fleabane (Erigeron annuus), and Evening Primrose (Oenothera odorata). As for the natural succession on site, about 47% of the area showed poor natural succession process. The reason for this outcome is understood as having a lack of appropriate management for purchased lands. Based on the site surveying and analysis, especially the current management state of the and its location, the research site was categorized into preservation, restoration, and improvement sites. During the establishment of the ecological riparian belt, the comprehensive management for preservation, restoration, and improvement of the purchased lands should be executed.

• Korean Journal of Agricultural Science
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• v.49 no.4
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• pp.809-819
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• 2022

This study was conducted to improve the stability of cut slopes of forest roads in granitic weathered soil areas. The study area is a national forest road (road length 28.48 km) in Pyeongchang-gun, Gangwon-do. After data collection, a statistical analysis was performed using IBM SPSS (Ver. 26.0). First, the correlation analysis showed that structure, slope position, soil erosion, slope, and aspect (N, S) were correlated with vegetation coverage (p < 0.05). Elapsed years, slope distance, and aspect (E, W) were found to have no correlation with vegetation coverage. (p > 0.05) Second, one-way ANOVA and Kruskal-Wallis test results showed that vegetation coverage was worse when the slope was located at the top or the middle of the slope than at the bottom of the slope. In addition, the site with sheathing and gabions showed good vegetation coverage when compared with the site without structures. In the case of soil erosion, areas with severe damage and moderate damage showed worse vegetation coverage. Therefore, it is necessary to strengthen the slope angle of the cut soil of the granitic weathered soil area from 1 : 0.5 - 1.2 to 1 : 0.8 - 1.5. In addition, structures such as sheathing and gabions should be installed on granitic weathered land.

• Journal of Wetlands Research
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• v.15 no.4
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• pp.567-572
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• 2013

Mammals act as an important role in maintaining ecosystem, but direct observation is very difficult. Nevertheless, in order to understand the impact of various changes about a sudden environment, long-term monitoring through direct investigation is essential. This study investigated home range analysis using GPS tracking device and behavioral ecology of Korean waterdeer (Hydropotes inermis), indigenous and native species in Korea. Studies on ecological characteristics and home range of Korean waterdeer are insufficient. Therefore, we studied home range using the GPS technique for critical point of existing research. Data showed the active movement in daytime ($44.1km^2$) than night ($30.0km^2$) and large area of activity in winter ($3.7km^2$) and spring ($44.1km^2$) than summer($0.04km^2$) and autumn ($0.01km^2$). The most used area of Korean waterdeer was forested area and wetland, agricultural area, waters in order of frequency based on the land coverage map. Our research represents overall characteristics of Korean water deer due to measurement of area of activity. However, this research signified behavioral ecology for Korean waterdeer, and further investigation in necessary.

• Journal of Korean Society of Forest Science
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• v.101 no.2
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• pp.220-225
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• 2012

This study was carried out to clarify the impact of land use (Castanea crenata, Pinus densiflora and Plantation Land) on soil runoff in small watershed. The soil runoff showed in order of plantation land, Castanea stand and Pinus stand. The resulting models in linear equations of three stands were able to account for 70%, 60% and 60% respectively. The relationship between soil runoff and forest environmental factors was a positive correlation at 1% level with slope, forest type, soil hardness, watershed area, stream length and at 5% level with accumulative rainfall, but was negative correlation at 1% level with coverage. The main factors that affected soil runoff in small watershed showed in order of coverage, accumulative rainfall and stand type. In the stepwise regression between soil runoff and forest environmental factors, the estimation equation is as follow; Y = 31.250 - 1.140(Coverage) + 0.413(Accumulative rainfall) + 20.829(Forest type). 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.

• Journal of East-Asian Urban History
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• v.2 no.2
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• pp.272-296
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• 2020

The study will first pay attention to the conflict between Kyoto Animation Co. and residents over establishing memorial facilities after the "Kyoto Animation 1^st Studio arson and Murder Incident," which occurred in Kyoto, Japan on the morning of July 18, 2019. And through on-site coverage and review of related TV program "Summer of Prayer, Voice of the Holy Land" aired by Mainichi Broadcasting System on August 17, 2019. We reviewed what this conflict means by Japanese animation fans to set a "Holy Land" of specific regions and the resulting content tourism business model. The conflict between Kyoto Animation Co. and the residents resulted in a lengthy confrontation which did not get solved until late July 2020. It proves the cooperation of residents is essential for the success of content tourism, especially the cooperation model for development of Holy Land.

• Journal of Biosystems Engineering
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• v.10 no.2
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• pp.27-35
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• 1985

This study was carried out to determine the optimum size and number of farm machines for various sizes of land coverage of the cooperative farm machinery utilization systems in Korea-namely Saemaul Mechanized Farming Group (SMFG). Fifty-one SMFG were selected from 8 counties in Chonnam province, and ownership, operation and management of farm machinery were surveyed. Annual covered area, cost and the break-even-point area of farm machinery were analyzed on the bases of the surveyed data and the present governmental subsidy policy, and then the optimum level of farm machinery ownership was determined. The results are summarized as follows: 1. The break-even-point areas of the tractors of 22-23ps, 28ps and 47-50ps were estimated as 12.1ha, 15.3ha and 21.6ha, respectively. The optimum size of a tractor for land sizes of 10-20ha, 20-30ha, and 30-40ha were estimated as 22-23ps, 28ps, and 47-50ps, respectively. 2. The break-even-point area of a rice transplanter was estimated as 3.3ha. The optimum numbers of rice transplanter for land sizes of 10-20ha, 20-30ha, and 30-40ha were estimated as 2,3, and 4, respectively. 3. The break-even-point areas of a speed sprayer (attached on power tiller) and a power sprayer were estimated as 114.6ha and 15.3ha, respectively. The optimum numbers of power sprayer for land sizes of 10-20ha, 20-30ha, and 30-40ha were estimated as 2,3 and 4, respectively. A speed sprayer is desirable for an area of more than 30ha coverage. 4. The break-even-point area of a combine was estimated as 10.7ha. The optimum numbers of combine for land sizes of 10-20ha, 20-30ha, and 30-40ha were estimated as 1,2, and 3, respectively.

• Korean Journal of Environmental Biology
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• v.20 no.1
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• pp.10-19
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• 2002

In order to investigate relation between park scale and temperature decrease in and near parks, temperature distribution was observed and was analyzed in four parks of different scales. Relation between the temperature decrease and ratio of green coverage was also analyzed by using regression analysis. Lower temperature was observed in and near the parks and larger cooling effect was implicated near the larger parks. The result of regression analysis showed that the increase of green coverage ratio lends the decrease of the temperature in the parks. The degree of the temperature decrease varied according to the types of the coverage.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.4
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• pp.313-318
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• 2017

Land surface temperature is essential for monitoring abnormal climate phenomena such as UHI (Urban Heat Islands), and for modeling weather patterns. However, the quality of surface temperature obtained from the optical space imagery is affected by many factors such as, revisit period of the satellite, instance of capture, spatial resolution, and cloud coverage. Landsat 8 imagery, often used to obtain surface temperatures, has a high resolution of 30 meters (100 meters rearranged to 30 meters) and a revisit frequency of 16 days. On the contrary, MODIS imagery can be acquired daily with a spatial resolution of about 1 kilometer. Many past attempts have been made using both Landsat and MODIS imagery to complement each other to produce an imagery of improved temporal and spatial resolution. This paper applied machine learning methods and performed downscaling which can obtain daily based land surface temperature imagery of 30 meters.

• Korean Journal of Remote Sensing
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• v.28 no.3
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• pp.287-296
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• 2012

Although low spatial resolution satellite images like MODIS and GOCI can be important to observe land surface, it is often difficult to visually interpret the imagery because of the low contrast by prevailing cloud covers. We proposed a simple and adaptive stretching algorithm to enhance image contrast over land areas in cloudy images. The proposed method is basically a linear algorithm that stretches only non-cloud pixels. The adaptive linear stretch method uses two values: the low limit (L) from image statistics and upper limit (U) from low boundary value of cloud pixels. The cloud pixel value was automatically determined by pre-developed empirical function for each spectral band. We used MODIS and GOCI images having various types of cloud distributions and coverage. The adaptive contrast stretching method was evaluated by both visual interpretation and statistical distribution of displayed brightness values.