• 인터넷정보학회논문지
• /
• 제21권5호
• /
• pp.31-37
• /
• 2020

Last year's Goseong-Sokcho forest fires have highlighted the limitations of extinguishing work for night-time forest fire and the importance of quick identification for information on the spread of forest fire. However, it is not easy to find services that take into account the characteristics of forest fires, as most existing disaster-related mobile applications and research assume various disaster situations rather than just forest fire situations. Therefore, a system that can provide information quickly is needed, taking into account the characteristics of forest fires and the limitations of extinguishing work. In this paper, we propose evacuation route guidance services that bypass areas where fire has already spread, supplement existing methods of extinguishing work, and provide general information on forest fire situations in real time, by putting drones into forest fire situations. It has been implemented to automate image analysis using the Rekognition service of Amazon Web Service (AWS), and the results of fire detection and the T Map API guide the evacuation path. It is expected that the results of this paper will allow efficient and rapid rescue and extinguishing work to be carried out, and further reduce the damage of human life caused by forest fires.

• 한국지리정보학회지
• /
• 제5권3호
• /
• pp.99-106
• /
• 2002

임도망 계획시 GIS의 활용은 시공전에 노선을 평가할 수 있어 노선선정의 잦은 변경에 따른 불필요한 노력과 경비를 절감할 수 있다. 본 연구는 임도망의 종합적인 계획을 위하여 지형정보시스템을 이용하여 경남 남해군에 위치한 금산주변의 국유림을 대상으로 노선선정기준에 따른 합리적이고 환경친화적인 임도망의 계획방법을 제시하고 그 적용성을 검토하였다. 효율적인 노선선정을 위하여 분석항목별 노선통과의 적합성 여부를 평가하는 기준으로 각 격자에 가중치(점수)를 주었으며, 구조적인 측면의 종단물매와 생산적인 측면에서 투자효과의 최대화에 의한 2가지 노선선정기준에 따라 임도망을 계획하고 그 결과를 분석하였다. 종단물매를 고려하여 임도망을 계획한 결과, 총연장 및 임도밀도는 20.41km, 6.92m/ha로 나타났으며, 구조적인 측면의 종단물매와 투자효과의 최대화에 의한 방법을 조합하여 노선을 계획한 결과 총연장 및 임도밀도는 21.15km, 7.17m/ha로서 구조적인 측면의 임도망 계획결과에 비하여 높게 나타났다. GIS 기법에 의한 임도망의 계획은 각 대안별 평가를 통하여 최종 의사결정자가 최적의 임도망을 선택할 수 있는 의사결정지원체계로서 중요한 정보를 제공할 수 있는 것으로 평가된다.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
• /
• pp.250-255
• /
• 2002

This paper describes the study methods of identifying forest vegetation types, based on this study, forest vegetation classification method based on vegetation index is proposed. According to reflectance data of vegetation canopy and soil line equation NIR=1.506R+0.0076 in Jingyuetan, Changchun, China, many vegetation index are calculated and analyzed. The relationships between vegetation index and vegetation types are that PVI identifies broadleaf forest and conifer forest the most easily, the next is TSAVI and MSAVI, but their calculation is complex. RVI values of different conifer trees vary obviously, so RVI can classify conifer trees. In a word, combination of PVI and RVI is evaluated to classify different vegetation types.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
• /
• pp.41-44
• /
• 2008

In this paper, major species of tree were discriminated in compartment by using LiDAR data and optic imagery. This is an important work in forest field. A current digital stock map has created the aerial photo and collecting survey data. Unlike high resolution imagery, LiDAR data is not influenced by topographic effects since it is an active sensory system. LiDAR system can measure three dimension information of individual tree. And the main methods of this study were to extract reliable the individual tree and analysis techniques to facilitate the used LiDAR data for calculating tree crown 2D parameter. We should estimate the forest inventory for calculating parameter. 2D parameter has need of area, perimeter, diameter, height, crown shape, etc. Eventually, major species of tree were determined the tree parameters, compared a digital stock map.

• Journal of Information Processing Systems
• /
• 제9권4호
• /
• pp.621-632
• /
• 2013

The most important things for a forest fire detection system are the exact extraction of the smoke from image and being able to clearly distinguish the smoke from those with similar qualities, such as clouds and fog. This research presents an intelligent forest fire detection algorithm via image processing by using the Gaussian Mixture model (GMM), which can be applied to detect smoke at the earliest time possible in a forest. GMMs are usually addressed by making the model adaptive so that its parameters can track changing illuminations and by making the model more complex so that it can represent multimodal backgrounds more accurately for smoke plume segmentation in the forest. Also, in this paper, we suggest a way to classify the smoke plumes via a feature extraction using HSL(Hue, Saturation and Lightness or Luminanace) color space analysis.

• 대한공간정보학회지
• /
• 제7권2호
• /
• pp.93-100
• /
• 1999

산불은 천연자원, 멸종위기에 처한 동 식물, 사람의 재산 및 생명까지도 항상 위협하는 존재이다. 산불의 효과적인 관리는 복잡한 공간 관련성뿐만 아니라 환경과 사람의 활동에 대한 철저한 이해를 필요로 한다. GSIS(Geo-Spatial Information System)는 산불에 대한 공간 특성을 분석하고 지도화 할 수 있는 능력을 가지고 있다. 이 연구에서는 지형, 식생, 생활환경, 토양, 지질 인자 등을 선정 분류하고, GSIS와 원격탐사 기술을 통합 적용하여 산불 발생 지점의 공간 분포를 분석하였다. 또한 1990년대 들어서 증가하고 있는 산불 발생 원인을 식생지수의 비교를 통하여 규명하고자 하였다.

• 한국지리정보학회지
• /
• 제9권4호
• /
• pp.1-11
• /
• 2006

이 연구의 목적은 산림기능평가를 위한 의사결정지원도구로서의 GIS 응용모델을 개발하는데 있다. 여기서 산림기능평가는 산림이 지니고 있는 기능별 잠재력을 평가하거나 산림에 대해 기능을 부여하는 것을 의미한다. 분석대상 산림기능은 목재생산 수자원 함양 산지재해방지 산림휴양 생활환경보전 자연환경보전기능이며, 이러한 산림의 기능을 평가하기 위해 개발된 GIS 응용모델은 개별 산림기능의 잠재력 평가와 기능별 우선순위 설정에 따른 산림기능의 구분이 가능한 모델로 다양한 분석환경을 고려하여 적용성 검토를 하였다. 산림기능평가를 위한 인자들은 이미 전국 단위로 수치도면화된 지형도 임상도 입지도 산림이용기본도와 기타 자체구축한 제재소위치도 고속도로 IC위치도 전국인구분포도의 공간자료, 그리고 인구 및 강수량의 속성자료 이용을 통해 도출되었다. 개발된 GIS 응용모델을 이용하여 산림기능평가를 수행한 결과, 도엽 및 영림구 단위 대상지 모두 평가체계에 따라 효율적인 산림기능평가가 이루어졌다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제10권4호
• /
• pp.1555-1570
• /
• 2016

For monitoring forest fires, a real-time system to prevent fires in wider areas should be supported consistently. However, there has still been a lack of the support for real-time system related to forest fire monitoring. In addition, the 'real-time' processing in a forest fire detection system can lead to excessive consumption of energy. To solve these problems, the intelligent data acquisition of sensing nodes is required, and the maximum energy savings as well as rapid and accurate detection by flame sensors need to be done. In this regard, this paper proposes a node built-in filter algorithm for intelligent data collection of sensing nodes for the rapid detection of forest fires with focus on reducing the power consumption of the remote sensing nodes and providing efficient wireless sensor network-based forest environment monitoring in terms of data transmission, network stability and data acquisition. The experimental result showed that battery life can be extended through the intelligent sampling of remote sensing nodes, and the average accuracy of the measurement of flame detection based on the distance is 44%.

• 대한원격탐사학회지
• /
• 제38권1호
• /
• pp.57-72
• /
• 2022

In this paper, we aimed to examine the flowering dates of cherry blossom and the peak dates of maple leaves in South Korea, by the combination of temperature observation data from ASOS (Automated Surface Observing System) and NDVI (Normalized Difference Vegetation Index) from MODIS (Moderate Resolution Imaging Spectroradiometer). The more recent years, the faster the flowering dates and the slower the peak dates. This is because of the impacts of climate change with the increase of air temperature in South Korea. By reflecting the climate change, our statistical models could reasonably predict the plant phenology with the CC (Correlation Coefficient) of 0.870 and the MAE (Mean Absolute Error) of 3.3 days for the flowering dates of cherry blossom, and the CC of 0.805 and the MAE of 3.8 for the peak dates of maple leaves. We could suppose a linear relationship between the plant phenology DOY (day of year) and the environmental factors like temperature and NDVI, which should be inspected in more detail. We found that the flowering date of cherry blossom was closely related to the monthly mean temperature of February and March, and the peak date of maple leaves was much associated with the accumulated temperature. Amore sophisticated future work will be required to examine the plant phenology using higher-resolution satellite images and additional meteorological variables like the diurnal temperature range sensitive to plant phenology. Using meteorological grid can help produce the spatially continuous raster maps for plant phenology.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
• /
• pp.1146-1148
• /
• 2003

This study purposes to present strategic forest planning that can support the identification of forest resources and the maximum uses of forest functions through FMIS combining GIS, RS and LP. Forest information such as compartment structure and forest road was entered into GIS to construct FMIS. Remotely sensed data were used to land cover classification, and then geographical attributes were identified. New grouping unit, so called 'arvest unit' was introduced as the forest management unit. Strategic forest planning based on the 'arvest unit' was proposed that considered together the economic, environmental aspect of forest.