• 농촌계획
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• 제24권2호
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• pp.69-78
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• 2018

The purpose of this study is on identifying vegetation change through monitoring representative complementary village forests according to different management. For this, two of complementary village forests around Mai mountain which many ones remain were selected. Those are complementary village forests of Seochon and Wonyeonjang. Seochon forest is a representative one which is managed naturally and Wonyeonjang one is a representative one which is managed artificially. The field survey for monitoring was preformed in 2002 and 2007, 2016. D(Dominant degree) and S(Sociability degree) were measured by Brown-Blanquet's method in field survey. Through the analysis and review of survey data, the change of species richness, appearing species characteristics, species composition and layer structure etc. according to different management was monitored. As a result, it can be seen that natural succession has increased species diversity, improved vegetation structure and circulation of complementary village forest. On the other hand, excessive anthropomorphic management was found to be detrimental to the health of the forests and to the vegetation structure and species composition. And it was found that excessive management threaten sustainability and periodical proper management is necessary. Through this review, the useful management direction of complementary village forests was suggested.

• 한국산림과학회지
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• 제89권3호
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• pp.405-413
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• 2000

본 연구는 산림 기상 수문 환경의 모니터링을 위해 온도, 풍향, 풍속, 강우량, V노치의 수위, 계류수의 전기전도도 및 pH 등의 인자를 대상으로 하여 마이크로프로세서에 의한 전동식 센서유니트를 작동시켜 자동관측이 가능한 시스템을 개발하고자 실시하였으며, 그 결과는 다음과 같다. 1. 관측시스템은 크게 신호처리부, 전동식센서부, 전원제어부 그리고 무선데이터 통신부로 구성하였다. 2. 웨어부착형 전동식 센서유니트를 채택하여 계류수의 결빙 및 급류에 의한 센서의 파손을 방지하도록 하였으며, 동시에 항상 일정한 수위에서 측정이 이루어지도록 하였다. 3. 관측시스템에서 데이터의 전송은 무선 모뎀을 사용하여 산림유역의 수문 상황을 실시간 모니터링이 가능하도록 하였다. 4. 관측시스템은 각 기능별 독립구조의 모듈형태로 구성하여 측정 모듈의 수리, 교체, 추가 등의 변경이 가능하도록 하였다. 5. 관측시스템의 성능 시험을 실시한 결과 온도, EC, pH는 각각 최대 ${\pm}0.2^{\circ}C$, ${\pm}1{\mu}S$, ${\pm}0.1pH$의 오차범위 내에서 관측되었다. 6. 현장에서 관측시스템을 시험 운영해 본 결과 장기적이고 안정적인 산림 수문 수질 인자의 측정이 가능할 것으로 평가되었다.

• 농업과학연구
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• 제43권3호
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• pp.299-319
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• 2016

The National Forest Inventory (NFI) is important for providing fundamental data for basic forest planning and the establishment of forest policies for the purpose of implementing sustainable forest management. The purpose of this study is to present the development of Korea's NFI including legal basis, sampling design, and measured variables and to review the usage of NFI data. The survey methods and forestry statistics among the Unites States, Canada, Japan, China, and European countries were briefly compared. Total 140 publications utilizing NFI data between 2008 and 2015 were categorized with 15 subjects. Korea has conducted the NFI 6 times since 1971, but only the $6^{th}$ NFI is comparable with the fifth, the previous NFI, because the permanent sampling plots have been shared between the periods. The Korean Forestry Statistics contains only half as many variables as that of advanced countries in Forestry. More researches were needed to improve consistent measurement of diverse variables through implementation of advanced technologies. Additional data for Forest Health Monitoring since the NFI $6^{th}$ must be under quality control which will be an essential part of the inventories for providing the chronological change of forest health.

• 한국농림기상학회지
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• 제7권1호
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• pp.98-106
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• 2005

지하수는 복잡 경관에 위치한 광릉 산림 소유역의 물과 탄소 순환에 중요한 역할을 담당한다. 지하수가 지하 매질의 전기비저항(ER)에 크게 영향을 미치기 때문에, ER을 사용하여 지하수의 깊이와 지하 수분 함량을 조사할 수 있다. 따라서 최근 전기비저항 탐사를 통해 토양수분과 지하수 함양률, 수위변동을 측정하는 연구가 진행되고 있다. 정량적으로 적용할 수 있는 연구 결과가 나온다면 전기비저항 탐사가 다양한 시간과 공간규모의 물 수지의 닫힘을 확인하는 데에 중요한 기여를 할 수 있을 것으로 기대된다. 본 논문에서는 광릉 산림 소유역에서 지하수의 역할을 규명하기 위해 설치될 지하수 관정의 정확한 깊이와 위치를 파악하고자 실시한 ER 현지 조사의 예비 결과를 제시하였다 앞으로의 연구는 유용성이 입증된 전기비저항 탐사와 더불어 GPR 탐사, 전자탐사, 탄성파 탐사 등의 복합 물리탐사와 GIS를 이용한 분석을 통해 더 정확한 지하구조의 정보와 지하수공 최적의 위치를 추정할 수 있을 것으로 보인다.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2000년도 추계 학술대회지
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• pp.107-109
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• 2000

• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2019년도 하계 학술발표초록집
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• pp.293-294
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• 2019

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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• pp.123-126
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• 2005

Wireless Sensor Networks will revolutionize applications such as environmental monitoring, home automation, and logistics. We developed forest fire surveillance system. In this paper, Considering the fact that in Korea, during November to May, forest fires occur very frequently causing catastrophic damages on the valuable environment, Although exists other forest fire surveillance system such as surveillance camera tower, infrared ray sensor system and satellite system. Preexistence surveillance system can't real-time surveillance, monitoring, database and automatic alarm. But, forest fire surveillance system(FFSS) support above. In this paper, we describes a system development approach for a wireless sensor network based FFSS that is to be used to measure temperature and humidity as well as being fitted with a smoke detector. Such a device can be used as an early warning fire detection system and real-time surveillance in the area of a bush fire or endangered public infrastructure. Once the system has being development, a mesh network topology will be implemented with the chosen sensor node with the aim of developing a sophisticated mesh network.

• International Journal of Advanced Culture Technology
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• 제10권4호
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• pp.536-546
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• 2022

A society will lose a lot of something in this field when the forest fire broke out. If a forest fire can be detected in advance, damage caused by the spread of forest fires can be prevented early. So, we studied how to detect forest fires using CCTV currently installed. In this paper, we present a deep learning-based model through efficient image data construction for monitoring forest fire smoke, which is unstructured data, based on the deep learning model YOLOv5. Through this study, we conducted a study to accurately detect forest fire smoke, one of the amorphous objects of various forms, in YOLOv5. In this paper, we introduce a method of self-learning by producing insufficient data on its own to increase accuracy for unstructured object recognition. The method presented in this paper constructs a dataset with a fixed labelling position for images containing objects that can be extracted from the original image, through the original image and a model that learned from it. In addition, by training the deep learning model, the performance(mAP) was improved, and the errors occurred by detecting objects other than the learning object were reduced, compared to the model in which only the original image was learned.

• 인간식물환경학회지
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• 제22권2호
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• pp.219-229
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• 2019

This study was carried out to verify the accuracy of fitness tracking devices in monitoring heart rate and energy consumption and to contribute to the development of a forest exercise program that can recommend the intensity and amount of forest exercises based on personal health-related data and provide monitoring and feedback on forest exercises. Among several commercially available wearable devices, Fitbit was selected for the research, as it provides Open API and data collected by Fitbit can be utilized by third parties to develop programs. Fitbit provides users with various information collected during forest exercises including exercise time and distance, heart rate, energy consumption, as well as the altitude and slope of forests collected by GPS. However, in order to verify the usability of the heart rate and energy consumption data collected by Fitbit in forest, the accuracy of heart rate and energy consumption were verified by comparing the data collected by Fitbit and reference. In this study, 13 middle-aged women were participated, and it was found that the heart rate measured by Fitbit showed a very low error rate and high correlation with that measured by the reference. The energy consumption measured by Fitbit was not significantly different from that measured in the reference, but the error rate was slightly higher. However, there was high correlation between the results measured by Fibit and the reference, therefore, it can be concluded that Fitbit can be utilized in developing actual forest exercise programs.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.1031-1034
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• 2005

This paper introduces a novel sensor network protocol, R-WSLP(Realtime Wireless Sensor Line Protocol), which has extremely low latency characteristic in large-scale WSN. R-WSLP is proposed to implement realtime forest fire monitoring system. We propose Distributed TDMA method for the multiple channel access and Time Synchronized Forwarding Mechanism instead of routing technique to achieve low latency network. Also, R-WSLP provides extremely low power operation which we accomplished by reducing idle listening. In our experimentation, we get successful results at the forest fire monitoring system with our protocol.