• Title/Summary/Keyword: forest service

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A Study for Estimation of High Resolution Temperature Using Satellite Imagery and Machine Learning Models during Heat Waves (위성영상과 머신러닝 모델을 이용한 폭염기간 고해상도 기온 추정 연구)

  • Lee, Dalgeun;Lee, Mi Hee;Kim, Boeun;Yu, Jeonghum;Oh, Yeongju;Park, Jinyi
    • Korean Journal of Remote Sensing
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    • v.36 no.5_4
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    • pp.1179-1194
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    • 2020
  • This study investigates the feasibility of three algorithms, K-Nearest Neighbors (K-NN), Random Forest (RF) and Neural Network (NN), for estimating the air temperature of an unobserved area where the weather station is not installed. The satellite image were obtained from Landsat-8 and MODIS Aqua/Terra acquired in 2019, and the meteorological ground weather data were from AWS/ASOS data of Korea Meteorological Administration and Korea Forest Service. In addition, in order to improve the estimation accuracy, a digital surface model, solar radiation, aspect and slope were used. The accuracy assessment of machine learning methods was performed by calculating the statistics of R2 (determination coefficient) and Root Mean Square Error (RMSE) through 10-fold cross-validation and the estimated values were compared for each target area. As a result, the neural network algorithm showed the most stable result among the three algorithms with R2 = 0.805 and RMSE = 0.508. The neural network algorithm was applied to each data set on Landsat imagery scene. It was possible to generate an mean air temperature map from June to September 2019 and confirmed that detailed air temperature information could be estimated. The result is expected to be utilized for national disaster safety management such as heat wave response policies and heat island mitigation research.

A Study on forest fires Prediction and Detection Algorithm using Intelligent Context-awareness sensor (상황인지 센서를 활용한 지능형 산불 이동 예측 및 탐지 알고리즘에 관한 연구)

  • Kim, Hyeng-jun;Shin, Gyu-young;Woo, Byeong-hun;Koo, Nam-kyoung;Jang, Kyung-sik;Lee, Kang-whan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.6
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    • pp.1506-1514
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    • 2015
  • In this paper, we proposed a forest fires prediction and detection system. It could provide a situation of fire prediction and detection methods using context awareness sensor. A fire occurs wide range of sensing a fire in a single camera sensor, it is difficult to detect the occurrence of a fire. In this paper, we propose an algorithm for real-time by using a temperature sensor, humidity, Co2, the flame presence information acquired and comparing the data based on multiple conditions, analyze and determine the weighting according to fire in complex situations. In addition, it is possible to differential management of intensive fire detection and prediction for required dividing the state of fire zone. Therefore we propose an algorithm to determine the prediction and detection from the fire parameters as an temperature, humidity, Co2 and the flame in real-time by using a context awareness sensor and also suggest algorithm that provide the path of fire diffusion and service the secure safety zone prediction.

Vascular Plants of the Bulyeong Valley in Uljin-gun, Gyeongbuk (경북 울진군 불영계곡 일대의 관속식물상)

  • Oh, Hyun-Kyung;Shin, Hyun-Tak
    • Korean Journal of Environmental Biology
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    • v.24 no.4
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    • pp.359-367
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    • 2006
  • The vascular plants of this site were identified as 641 taxa through field investigation; 101 families, 340 genera, 547 species, 80 varieties, 12 forms, 1 subspecies and 1 hybrid. Based on the Rare plants of the Forest Service and Korea Forest Research Institute, 9 taxa were listed except implanted species; Loranthus tanakae, Aristolochia manshuriensis, Aristolochia contorta, Viola albida, Cypripedium macranthum, Schpolia japonioa, Acanthopanax chiisanensis, Rhododendron micranthum. Based on the Korean endemic plants, 18 taxa were listed; Salix purpurea var, japonica, Asarum sieboldii var. mandshuricum for. misnadrum, Persicaria lapathifolia for. alba, Pseudostellaria sylvatica, Aconitum pseudolaeve var. erectum, Corydalis maculata, Corydazis albipetala, Corydalis grandicazyx, Cardamine amaraeiormis, Chrysosplenium barbatum, Filipendula glaberrima, Lespedeza x tomentella, Acanthopanax chiisanensis, Melampyrum setaceum var. nakaianum, Weigela subsessilis, Adenophora triphylla var. hirsute, Cirsium setidens, Saussurea pseudogracilis. Specific plant species by floral region were total 81 taxa (12.6%); Prunus yedoensis in class V, 13 taxa (Thuja orientalis, Cimicifuga heracleiiolia, Sedum middendorffianutn, Rhododendron micranthum, etc.) in class IV, 17 taxa (Equisetum palustre, Aceriphyllum rossii, Angelica gigas, Cirsium setidens, etc.) in class III, 15 taxa (Heloniopsis orientalis, Lychnis cognata, Saxifraga oblongifolia, Viola orientalis, etc.) in class II, 35 taxa (Hosta capitata, Cimicifuga simplex, Chrysosplenium flagelliferum, Campanula punctata, etc.) in class I. So, the naturalized plants were listed 53 taxa and the naturalization index was 8.2%, urbanization index was 20.7%.

A Study of Big data-based Machine Learning Techniques for Wheel and Bearing Fault Diagnosis (차륜 및 차축베어링 고장진단을 위한 빅데이터 기반 머신러닝 기법 연구)

  • Jung, Hoon;Park, Moonsung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.75-84
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    • 2018
  • Increasing the operation rate of components and stabilizing the operation through timely management of the core parts are crucial for improving the efficiency of the railroad maintenance industry. The demand for diagnosis technology to assess the condition of rolling stock components, which employs history management and automated big data analysis, has increased to satisfy both aspects of increasing reliability and reducing the maintenance cost of the core components to cope with the trend of rapid maintenance. This study developed a big data platform-based system to manage the rolling stock component condition to acquire, process, and analyze the big data generated at onboard and wayside devices of railroad cars in real time. The system can monitor the conditions of the railroad car component and system resources in real time. The study also proposed a machine learning technique that enabled the distributed and parallel processing of the acquired big data and automatic component fault diagnosis. The test, which used the virtual instance generation system of the Amazon Web Service, proved that the algorithm applying the distributed and parallel technology decreased the runtime and confirmed the fault diagnosis model utilizing the random forest machine learning for predicting the condition of the bearing and wheel parts with 83% accuracy.

The Regional Folk Plants in Inland of Gyeongsangbuk-do (I) (경상북도 내륙지역의 민속식물 I)

  • Chung, Gyu-Young;Park, Myung-Soon;Nam, Bo-Mi;Hong, Ki-Nam;Jang, Jin;Lee, Cheul-Ho
    • Korean Journal of Plant Resources
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    • v.23 no.5
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    • pp.465-479
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    • 2010
  • This study was carried out to classify the regional folk plants in the inland of Gyeongsangbuk-do. According to the survey results from 582 survey sheets of 126 residents at 85 places of 17 counties and cities from March to October, 2009, the folk plants in the inland of Gyeongsangbuk-do consisted of a total 254 taxa; 76 families, 207 genera, 225 species, 2 subspecies, 26 varieties, and 1 form. The use by its usage was: 216 taxa; edible, 82 taxa; medicinal, 30 taxa; dye, 3 taxa; aroma, 4 taxa; spice, 4 taxa; ornamental, 1 taxa; fiber, 2 taxa; oil, 1 taxa; starch, 5 taxa; fuel, 9 taxa; others, respectively, so the edible use is the highest. The most useful part was the leaf, followed by stem and root. The folk plants of 3 head families from Yeongyang and Cheongsong were 42 taxa. The consistency comparison between the scientific name and the local name were the highest in the 50's and the lowest in 80's.

A Study on Distributions and Spatial Properties of Geomorphological Mountain Area (지형학적 산지의 분포와 공간적 특성에 관한 연구)

  • Tak, Han-Myeong;Kim, Sung Hwan;Son, Ill
    • Journal of the Korean Geographical Society
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    • v.48 no.1
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    • pp.1-18
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    • 2013
  • The mountain region in Korea has been known as 70% of total area and most Korean people have recognized Korea as the mountainous country. Those concepts are thought to be mislead by the definition of the Korea Forest Service for the mountain region. According to KFS's definition based on the land-use, the forest and farmland at the low altitude are also included in the mountain region. In this study, firstly, the geomorphological mountain region is extracted according to the definition of Kapos et al. (2000). The rates of mountain region in S. Korea, N. Korea, Korea Peninsular are 31%, 51%, 42% respectively. And the rates between mountain area and non-mountain area in the 300-1000m and 1000-2500m intervals are considerably different due to the existence of plateaus such as high-level plain surfaces. Secondly, using the overlay analysis in GIS, the distribution of mountain areas are compared with that of order-mountains' areas defined by Qui and SON (2010). Even in case of the 5th order, the highest order mountains, the hill & plain and non-mountain areas are included in that mountain area. It is possible to suggest that the definition of the KFS is completely different from the academic, realistic and epistemic definition for mountain area, and the geomorphological definition of mountain area is useful to classify the mountain area according to the its physical properties. Therefore, it would be expected that the definition contributes the development of methodologies on the scientific management of mountain area in future.

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Floristic Study of Daeheuksando in Korea (대흑산도의 관속식물상)

  • Jang, Chang-Seok;Yang, Sun-Gyu;Jang, Hyun-Do;Lee, Ro-Young;Park, Min-Su;Kim, Ki-Hong;Oh, Byoung-Un
    • Korean Journal of Plant Resources
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    • v.27 no.5
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    • pp.518-533
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    • 2014
  • The flora in the region of Daeheuksando ($N34^{\circ}37^{\prime}{\sim}34^{\circ}42^{\prime}$, $E125^{\circ}23^{\prime}{\sim}125^{\circ}38^{\prime}$) was surveyed from June 2010 to October 2011. The vascular plants from 22 field surveys were revealed to total of 496 taxa: 113 families, 316 genera, 446 species, four subspecies, 43 varieties and three forms. 124 taxa were the first records from this region. This field study discovered significant plants in various categories. Korean endemic plants numbered 7 taxa, and 6 taxa designated by Korean Forest Service as rare plants were investigated in this region. The taxa in the category II of rare and endangered plants and higher than the third degree among the floristic regional indicator plants designated by Korean Ministry of Environment were one taxon and 47 taxa, respectively. Especially, it was proved that Spiraea chartacea, Hosta yingeri, Hemerocallis hongdoensis and Saussurea polylepis were endemic to Heuksan-myeon including Daeheuksando in Korean peninsular. In addition, the naturalized plants of 46 taxa were recorded.

Preliminary Survey for Setting Evaluation Standards of Wood Pellet Safety (목재펠릿의 안전성평가 기준 마련을 위한 예비 조사)

  • Yang, In;Kang, Sung-Mo;Kim, Young Hun;Han, Gyu-Seong
    • Journal of the Korean Wood Science and Technology
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    • v.46 no.5
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    • pp.541-552
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    • 2018
  • As the use of wood pellets increases, there is an increasing interest in the safety of the wood pellets themselves to avoid physical and chemical damage to people and the environment. This study investigated the contents of nitrogen, sulfur, chlorine, arsenic, cadmium, chromium, copper, lead, mercury, nickel, zinc, and cesium in wood pellets distributed in Korea as a preliminary survey for establishing safety evaluation standards for wood pellets. Nitrogen, sulfur, chlorine, and heavy metal contents of wood pellets produced in Korea met the specification for the 1st grade of wood pellets determined by the National Institute of Forest Science and the specification for the commercial and residential wood pellets of A1 grade determined by the ISO and the evaluation standards for wood pellet safety determined by the Korean Forest Service. However, among imported wood pellets, some wood pellets contained nitrogen, sulfur, chlorine, and heavy metal exceeding the safety evaluation standards. Cesium radioactivity was not detected in domestic wood pellets. Cesium radioactivity was detected from wood pellets imported from Japan, but it was below the limits specified in the wood pellet safety evaluation standards. In conclusion, by establishing safety standards for wood pellets, we believe that safe wood pellets will be used.

Establishment of National Park Management Policy with Elimination of Entrance Fee (국립공원(國立公園) 입장료(入場料) 폐지(廢止)에 따른 국립공원(國立公園) 관리정책(管理政策) 수립(樹立) 방안(方案))

  • Lee, Ju-Hee;Bae, Min-Ki
    • Journal of Korean Society of Forest Science
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    • v.96 no.1
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    • pp.96-106
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    • 2007
  • The purpose of this paper was to identify the effects of elimination of entrance fee (EEF) affecting visitor's satisfaction (VS) and management sectors such as natural resources (NRs), park facilities, transportation, visitor service, visitor atmosphere (VA) in national parks (NPs). This research had obtained data through a questionnaire, which surveyed 336 visitors at Gayasan NP in 2006. The data were analyzed the data using descriptive statistical methods, Pearson's correlation analysis, and multiple linear regression method. It was found that 1) About EEF, 72.6% of respondents agreed. 2) As entrance fee was abolished, respondents predicted that degree of VA such as crowding, waste throwing, disorder etc. grew worse most. On the other hands, respondents predicted number and quality of commercial lodging facilities, festival, and local products would improved. 3) Respondents predicted that degree of VS would worse. 4) in multiple regression analysis, the relative contribution of the VA on VS have been determined to have respectively 1.84 times more important than that of the change degree of NRs. The results suggested that the management of VA in NP was the most important factor to prevent decline of VS. This paper would be helpful to establish national park management policy after EEF.

Quantitative Assessment of Climate Regulating Ecosystem Services Using Carbon Storage in Major Korean Ecosystems (탄소 저장량을 이용한 국내 주요 생태계 기후 조절 서비스 지표 산정)

  • Kim, Jisoo;Han, Seung Hyun;Chang, Hanna;Kim, Teayeon;Jang, Inyoung;Oh, Wooseok;Seo, Changwan;Lee, Woo-Kyun;Son, Yowhan
    • Korean Journal of Environmental Biology
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    • v.34 no.1
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    • pp.8-17
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    • 2016
  • Ecosystems have functions of providing, supporting, regulating and cultural services. In particular, there is an increasing attention to the importance of regulating ecosystem services in carbon sequestration function, since it is closely related to the issue of climate change. In this study, to quantify benefits of climate regulating ecosystem services, the carbon storage was defined as an indicator. Nine major Korean ecosystems were classified and research papers on carbon storage were analyzed. The collected carbon storage data were categorized according to classified ecosystems, methodologies, and carbon storage components. For each category, the mean, standard error and coefficient of variation were calculated. The carbon storage indicator was highest in vegetation biomass of deciduous forest ecosystems. The uncertainty was also estimated by the IPCC 2006 guidelines. The estimations of the uncertainty differed by methodologies and carbon storage components. With exception of forest ecosystems, the limited number of studies were available which might have hindered to conduct accurate estimations. These findings indicate that there are needs for further clarification in the measurement standards by different ecosystems.