• Journal of Korean Society for Geospatial Information Science
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• v.22 no.4
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• pp.165-173
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• 2014

Open-pit mining method, is safe relatively work as compared with underground mining. And high yield, low production cost, has the advantage that it can provide a lot of production. But deforestation, tailings and slag deposition, mineral debris, dust, water, noise, land subsidence, sediment runoff discharge, I have internalized environmental disaster predisposing factors, such as landslides. Thus, it may be noted, also by typical environmental regulations. We try to deal with the changes in open pit terrain and environment related issues. Then, use the recovery period and the open pit mine and ecology off the gun, environment-friendly development of accurate monitoring methods, systems of this development is required. The use of open platforms and open source GIS tools have been developed during this period, it needs to develop spatial information environment monitoring system open pit mine construction.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.175-175
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• 2017

Agricultural Policy/Environmental eXtender Model(APEX)는 전 농장 또는 소규모 유역 관리에 활용하고자 개발된 모형이다. APEX는 사용자들을 고려하고 다양한 형태로 개발하였다. 사용자들이 사용하기 쉽도록 윈도우 인터페이스 형태의 WinAPEX 모듈을 개발하기도 하였으며, ArcGIS 프로그램과 연계하여 다양한 지리정보시스템을 사용할 수 있는 ArcAPEX 모듈을 개발하기도 하였다. 그러나 WinAPEX 모듈은 유역에 대한 정보를 시각적으로 확인할 수 없다는 단점을 가지고 있으며, ArcGIS 프로그램은 유료의 라이센스라는 단점을 보유하고 있다. 본 연구에서는 이러한 단점을 극복하기 위하여 APEX 모형을 GNU General Public License 기반의 Open Source Geographic Information System(GIS)인 Quantum GIS(QGIS)와 연계하여 QAPEX 모듈을 개발하고자 하였다. QAPEX 모듈은 오픈소스 기반의 QGIS 프로그램과 APEX 모형을 이용하여 무료로 사용할 수 있으며, 사용자의 편의를 위해 유역에 대한 정보를 시각적으로 확인할 수 있다. 뿐만아니라 QGIS는 사용자간의 정보 및 자료 공유에 용이한 장점을 보유하고 있어 QAPEX를 이용하는 사용자들 간의 정보 공유로 인해 원활하고 지속적인 개선이 이루어 질 것으로 기대된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.251-251
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• 2016

인공위성을 이용한 가뭄연구에는 전지구적으로 운용되는 GPM (Global Precipitation Measurement) 위성, AQUA/TERRA 위성의 MODIS (MODerate resolution Imaging Spectroradiometer) 센서 등에서 수집된 관측 자료가 이용된다. 그러나 전지국적으로 관측된 위성 자료는 자료를 생산 제공하는 기관에 따라 자료의 파일포맷 (NetCDF, HDF5, GeoTIFF 등), 자료의 투영법 (projection) 등이 상이하다. 그러므로 가뭄연구에 다중위성자료를 활용하고자 하는 지리정보시스템(Geographic Information System: GIS)에 대한 전문지식이 부족한 연구자는 자료의 표준화 (파일포맷과 투영변환 등) 과정으로 인해 원활한 연구수행이 어렵다. MODIS 위성자료의 경우에는 일반적으로 많이 사용되는 횡단메르카토르 도법 (Transverse Mercator Projection: TM) 대신 시뉴소이드 도법 (sinusoidal projection)을 이용한다. 그래서 미국 지질조사국은 MODIS 자료의 재투영(reprojection)을 위한 전용 소프트웨어인 MRT (MODIS Reprojection Tool)를 배포하고 있다. 본 연구에서는 무료/오픈소스 소프트웨어를 활용하여 시뉴소이드 도법이 적용된 MODIS 자료의 수집, 재투영, 파일포맷 변환 등을 자동으로 처리하는 기법을 개발하여 가뭄활용에 이용하고자 하였으며, MODIS MOD09GA/MOD11A1 자료를 이용하여 효율성을 검증하였다.

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.4
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• pp.337-345
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• 2022

For data such as rainfall and soil moisture, it is important to obtain the values of all points required as geostatistical data. Spatial interpolation is generally performed in this process, and commercial software such as ArcGIS is often used. However, commercial software has fatal drawbacks due to its high expertise and cost. In this study, R, an open source-based environment with ArcGIS, a commercial software, was used to compare the differences according to the processing environment when performing spatial interpolation. The data for spatial interpolation was weather forecast data calculated through Land-Atmosphere Modeling Package (LAMP)-WRF model, and soil moisture data calculated for each cumulative rainfall scenario. There was no difference in the output value in the two environments, but there was a difference in user interface and calculation time. The results of spatial interpolation work in the test bed showed that the average time required for R was 5 hours and 1 minute, and for ArcGIS, the average time required was 4 hours and 40 minutes, respectively, showing a difference of 7.5%. The results of this study are meaningful in that researchers can derive the same results in a commercial software environment and an open source-based environment, and can choose according to the researcher's environment and level.

• Korean Journal of Remote Sensing
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• v.31 no.5
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• pp.491-499
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• 2015

In developed countries such as USA and Europe, agricultural monitoring system is developed and utilized in various fields in order to predict crop yield, observe weather conditions and anomaly, categorize crop fields, and calculate areas for each crop. These system is Web Map Service(WMS) which utilizes open source and commercial softwares, and various information collected from remote sensing data are provided. This study will utilize tools such as GeoServer, ArcGIS Server, which are widely used to monitor agricultural production, to publish Map Server and Web Application Server. This enables performance test study for future agricultural production monitoring system by making use of response time and data transfer test. When tested in identical condition GeoServer showed a better result in response time and data transfer for performance test.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.903-916
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• 2021

An area's topography refers to the shape of the earth's surface, described by its elevation, slope, and aspect, among other features. The topographical conditions determine energy flowsthat move water and energy from higher to lower elevations, such as how much solar energy will be received and how much wind or rain will affect it. Another common factor, the topographic wetness index (TWI), is a calculation in digital elevation models of the tendency to accumulate water per slope and unit area, and is one of the most widely referenced hydrologic topographic factors, which helps explain the location of forest vegetation. Analyses of topographical factors can be calculated using a geographic information system (GIS) program based on digital elevation model (DEM) data. Recently, a large number of free open source software (FOSS) GIS programs are available and developed for researchers, industries, and governments. FOSS GIS programs provide opportunitiesfor flexible algorithms customized forspecific user needs. The majority of biodiversity in island areas exists at about 20% higher elevations than in land ecosystems, playing an important role in ecological processes and therefore of high ecological value. However, island areas are vulnerable to disturbances and damage, such as through climate change, environmental pollution, development, and human intervention, and lacks systematic investigation due to geographical limitations (e.g. remoteness; difficulty to access). More than 4,000 of Korea's islands are within a few hours of its coast, and 88% are uninhabited, with 52% of them forested. The forest ecosystems of islands have fewer encounters with human interaction than on land, and therefore most of the topographical conditions are formed naturally and affected more directly by weather conditions or the environment. Therefore, the analysis of forest topography in island areas can be done more precisely than on its land counterparts, and therefore has become a major focus of attention in Korea. This study is focused on calculating the performance of different topographical factors using FOSS GIS programs. The test area is the island forests in Korea's south and the DEM of the target area was processed with GRASS GIS and SAGA GIS. The final slopes and TWI maps were produced as comparisons of the differences between topographic factor calculations of each respective FOSS GIS program. Finally, the merits of each FOSS GIS program used to calculate the topographic factors is discussed.

• Spatial Information Research
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• v.22 no.4
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• pp.1-9
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• 2014

Since the government has implemented the spatial information policies, there have been great investments and efforts made for the development of domestic technology. However, the practical application of spatial information and the degree of internationalization still leaves more to work to do. The demand of spatial information-related education, and the research and development still relies on the proprietary software from outside. Open Source Software (OSS) has been considered as an alternative for this reason. This study reviews the major trends and examples of FOSS4G in the world, which receives a special attention in the field of spatial information industry. In particular, we analyze the policy implication for the development of national spatial information by examining cases of education and research areas that have been the foundation of the growth of OSS.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.6
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• pp.691-702
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• 2019

Flood inundation map has various important roles in terms of municipal planning, timely dam operation, economic levee design, and building flood forecasting systems. Considering that the riparian areas adjacent to national rivers with high potential flood vulnerability conventionally imposed special cares to justify applications of recently available two- or three-dimensional flood inundation numerical models on top of digital elevation models of dense spatial resolution such as LiDAR irrespective of their high costs. On the contrary, local streams usually could not have benefits from recent technological advances, instead they inevitably have relied upon time-consuming manual drawings or have accepted DEMs with poor resolutions or inaccurate 1D numerical models for producing inundation maps due mainly to limited budgets and suitable techniques. In order to efficiently and cost-effectively provide a series of flood inundation maps dedicatedly for the local streams, this study proposed an OpenGIS-based flood mapping tool named Open Flood Mapper (OFM). The spatial accuracy of flood inundation map derived from the OFM was validated throughout comparison with an inundation trace map acquired after typhoon Nari in Hancheon basin located in Jeju Island. Also, a series of inundation maps from the OFM were comprehensively investigated to track the burst of flood in the extreme flood events.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.1-6
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• 2020

Road movement pollutant air environment big data is a link between real-time traffic data such as vehicle type, speed, and load using AVC, VDS, WIM, and DTG, which are always traffic volume survey equipment, and road shape (uphill, downhill, turning section) data using GIS. It consists of traffic flow data. Also, unlike general data, a lot of data per unit time is generated and has various formats. In particular, since about 7.4 million cases/hour or more of large-scale real-time data collected as detailed traffic flow information are collected, stored and processed, a system that can efficiently process data is required. Therefore, in this study, an open source-based data parallel processing performance optimization study is conducted for the visualization of big data in the air environment of road transport pollution.

• Journal of Internet Computing and Services
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• v.19 no.4
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• pp.1-6
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• 2018

In smart cities, data from various kinds of sensors are collected and processed to provide smart services to the citizens. Noise information services with noise maps using the collected sensor data from various kinds of ubiquitous sensor networks is one of them. This paper presents a research result which generates three dimensional (3D) noise maps in real-time for smart cities. To make a noise map, we have to converge many informal data which include big image data of geographical Information and massive sensor data. Making such a 3D noise map in real-time requires the processing of the stream data from the ubiquitous sensor networks in real-time and the convergence operation in real-time. They are very challenging works. We developed our own methodology for real-time distributed and parallel processing for it and present it in this paper. Further, we developed our own real-time 3D noise map generation system, with the methodology. The system uses open source softwares for it. Here in this paper, we do introduce one of our systems which uses Apache Storm. We did performance evaluation using the developed system. Cloud computing was used for the performance evaluation experiments. It was confirmed that our system was working properly with good performance and the system can produce the 3D noise maps in real-time. The performance evaluation results are given in this paper, as well.