The Journal of the Convergence on Culture Technology (문화기술의 융합)

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
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Database Design for Management of Forest Resources using a Drone

드론을 이용한 산림자원 정보관리를 위한 DB 설계

  • Oh, Sun Jin (Dept. of Computer & Information Science, Semyung University)
  • Received : 2019.05.13
  • Accepted : 2019.07.15
  • Published : 2019.08.31
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Abstract

With the fast development of modern society, the interests concerned about the significance of nature and environment become major issue nowadays. Especially, threats for our health due to severe environmental pollution and fine dusts become serious problem with the fast industrialization of our society, and extra attention is focused on interests about conservation of nature and management of forest resources. Precious forest resources, however, are not properly managed and destroyed vainly due to frequent fire, damage by storms and floods, and unplanned land development. So systematic and scientific construction and management of forest resources are required in order to solve these problems efficiently. Furthermore, implementation of the forest resource information database that contains information of trees, Topography, ecosystem of the forest is urgently needed. In this paper, we design and implement the forest resource information database based on the information of location based forest resources and Topography using forest images taken by a drone, that enables us to manage forest resources efficiently, make decision for logging, and construct a future tree-planting project easily.

현대사회가 급속히 발전하면서 자연과 환경의 중요성에 대한 관심이 주요 이슈로 대두되고 있다. 특별히 최근 빠른 산업화로 극심한 환경오염과 미세먼지로 인한 사람들의 건강이 크게 위협을 받으면서 자연보호와 산림자원 관리에 대한 관심이 집중되고 있다. 하지만 잦은 화재나 풍수해 및 난개발 등으로 인해 소중한 산림자원이 제대로 관리 되지 못하고 헛되이 소실되어 지고 있는 실정이다. 이러한 문제를 효율적으로 해결하기 위해서는 산림자원의 체계적이고 과학적인 조성과 관리가 필요하며, 이를 위해 산림을 구성하는 나무 정보와 산의 지형 정보 및 생태계 정보를 아우르는 정확하고 구체적인 산림자원 정보 데이터베이스 구축이 절실히 요구된다. 본 연구는 드론 기술을 이용하여 촬영된 산림자원 이미지를 기반으로 특정 지역 위치기반 산림 자원의 생태에 대한 정보와 그 위치 지역의 지형 정보를 기반으로 효율적인 산림자원 관리와 벌목 대상이 되는 수목 의사결정 그리고 향후 조성할 산림 조림사업에 도움을 줄 수 있는 산림자원 정보 데이터베이스를 설계하고 구축하고자 한다.

Keywords

References

  1. Forestry Science Lab., SNU, Development of Application Computing Model for implementing Forest Geography Information System : Development of Database System for management of Forest Resources, Korea Forest Service, pp. 134, 1996.
  2. S. Choi, J. Lee, "Development of Forest Management System for the Efficient Treatment of Forest Service," Journal of the Korean Society for Geospatial Information System, Vol. 12, No. 1, pp. 31-37, 2004.
  3. J. Benton Jones Jr., Laboratory Guide for Conducting Soil Tests and Plant Analysis. CRC Press, 2001.
  4. J. Shamshuddin et. al., "Effects of Aluminum, Iron and/or Low pH on Rice Seedlings Grown in Solution Culture," International Journal of Agriculture and Biology. Vol. 17. pp. 702, 2015. https://doi.org/10.17957/IJAB/14.0019
  5. M. Anda et. al., "Pore Space and Specific Surface Area of Heavy Clay Oxisols as Affected by their Mineralogy and Organic Matter," Soil Science, Vol. 173, pp. 560, 2008. https://doi.org/10.1097/SS.0b013e318182b0a9
  6. A. Fathia et. al., "Effects of Depth and Land Cover on Soil Properties as Indicated by Carbon and Nitrogen-Stable Isotope Analysis," Polish Journal of Environmental Studies, Vol. 27, No. 1, pp. 1-10, 2018. https://doi.org/10.15244/pjoes/74130
  7. S. Southavong et. al., "Effects of Pyrolysis Temperature and Residence Time on Rice Straw-derived Biochar for Soil Application," International Journal of Plant & Soil Science, pp. 1-11, 2018.
  8. J. Shamshuddin et. al., "Effects of December 2014 Great Flood on the Physico-Chemical Properties of the Soils in the Kelantan Plains, Malaysia," Journal of Water Resource and Protection, Vol. 8, No. 2, pp. 263-276, 2016. https://doi.org/10.4236/jwarp.2016.82023
  9. U. Tongkaemkaew et. al., "Litterfall, litter decomposition, soil macrofauna, and nutrient contents in rubber monoculture and rubber-based agroforestry plantations," Forest and Society, Vol. 2, No. 2, pp. 138-147, 2015. https://doi.org/10.24259/fs.v2i2.4431
  10. S. Kassim et. al., "Timber Harvesting Damage Prediction for Sustainable Forest Management," Association for Computing Machinery, 2018.
  11. Y. Yahya et. al., "Using Uncertainty of Bayesian Theorem to Predict Mortality of Tree in Forest Growth Simulation System," Association for Computing Machinery, 2018.
  12. R. Hamzah et. al., "Prototyping of Mobile Application and Web Monitoring for Small Vessel Tracking System," ACM, 2018.
  13. R. Ismail et. al., "Computer simulation of tree mapping approach to project the future growth of forest," Association for Computing Machinery, 2017.
  14. R. Ismail et. al., "Penetration of Sunlight in the Multilevel Crown : A Case Study in Tropical Rain Forest," ACM, 2016.
  15. Y. Yahya et. al., "Using data mining techniques for predicting individual tree mortality in tropical rain forest : logistic regression and decision trees approach," ACM, 2014.
  16. M. Abdullah et. al., "Optimization Model of Selective Cutting for Timber Harvest Planning based on a Simulated Annealing Approach," Journal of Computer Science, Vol. 10, No. 1, pp. 54-65, 2014. https://doi.org/10.3844/jcssp.2014.54.65
  17. A. Mateen et. al., "Architecture Model of IOT Based Smart Animal Farms in Pakistan," JIIBC, Vol. 18, No. 6, pp. 43-52, 2018. doi: 10.7236/JIIBC.2018.18.6.43.