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RISS 인기검색어
- 검색키워드
- 저자 : Sittichai Choosumrong (검색결과 2 건)
- 무료
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Development of optimal routing service for emergency scenarios using pgRouting and FOSS4G
Sittichai Choosumrong,Chingchai Humhong,Venkatesh Raghavan,Ge´rald Fenoy 대한공간정보학회 2019 Spatial Information Research Vol.27 No.4
This study aims to implement a system for Emergency Routing Decision Planning (ERDP) based on Service Oriented Architecture. A Web-based system is implemented to facilitate ubiquitous dynamic routing services on up-to-date road network data. Integration of Dijkstra’s shortest path and Analytic Hierarchy Process (AHP) algorithms has facilitated improved weighted travel- time computation. Route computations are done considering situation at source, transit and destinations. The AHP is used to prioritize amongst possible destinations considering impedance factors affecting travel time. The routing algorithm is deployed as Web Processing Service (WPS) using the ZOO-Project Platform. Two scenarios for application of the ERDP Web services are demonstrated. In the first scenario of medical emergency, the ERDP computes routes between patient’s location, emergency car to hospital in proximity of accident site considering dynamic factors such as conditions of road network, the patient’s state and availability of medical facilities and expertise in the target hospital. In the second scenario of a disaster situation, the GRASS GIS r.sim.water simulation model for overland flow under excess rainfall conditions was integrated into the ERDP system as a WPS. The result of the simulation is used to automatically update the road network database and new routes are computed based on existing conditions. The system is developed using Free and Open Source Software for Geoinformatics (FOSS4G) stack and is amenable to customization to support other emergencies such as fire, debris flow and tsunami. Integration with Sensor Observation Services for automatic data updates from CCTV camera and weather stations could further improve utility as a real-time ERDP system.
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Bananas diseases and insect infestations monitoring using multi-spectral camera RTK UAV images
Sittichai Choosumrong,Rhutairat Hataitara,Kawee Sujipuli,Monthana Weerawatanakorn,Amonlak Preechaharn,Duangporn Premjet,Srisangwan Laywisadkul,Venkatesh Raghavan,Gitsada Panumonwatee 대한공간정보학회 2023 Spatial Information Research Vol.31 No.4
Recent advances in multi-spectral imagery generated using Unmanned Aerial Vehicles (UAVs) have opened new possibilities for agricultural crop monitoring and management, even in small-holder farms. In this study, Vegetation Indices (VIs) derived from UAV-captured multi-spectral images with Real-time kinematic positioning were applied to assess the health and growth of banana plants and fruits. Multi-spectral images consisting of Red, Green, Blue, Red-EDGE, and Near-Infrared were collected using quadcopter UAV flown at a height of 80 m. Several VIs was examined with ground truth from 67 sampling sites for healthy and stressed banana plants. The results indicate that Triangular Vegetation Index (TVI), Normalized Difference Red Edge Index (NDRE) and Normalized Difference Vegetation Index (NDVI) provide valuable information for crop monitoring in a timely and quantifiable manner. Kappa coefficients comparing plant health with TVI (0.85), NRDE (0.83) and NDVI (0.75) provide excellent result with overall accuracy being 92.48%, 89.66% and 88.95%, respectively. The data preparation workflow was implemented using Free and Open-Source Software. The datasets generated and the procedures described are not only useful to local farmers for mitigating loss in yield in banana plantations but can also offer a generic solution in promoting smart farming.
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