한국농림기상학회지 (Korean Journal of Agricultural and Forest Meteorology)

  • 제22권3호
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  • Pages.103-106
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  • 2020
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  • 1229-5671(pISSN)
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  • 2288-1859(eISSN)
한국농림기상학회 (Korean Society of Agricultural and Forest Meteorology)
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농림기상 분야 빅데이터 구축을 통한 농림 생태계 지속가능성 제고

Improvement of Sustainability in Agricultural Ecosystems through Construction of Big Data in Agricultural and Forest Meteorology

  • 김광수 (서울대학교 식물생산과학부)
  • Kim, Kwang Soo (Department of Agriculture, Forestry and Bioresources, Seoul National University)
  • 투고 : 2020.09.27
  • 심사 : 2020.09.30
  • 발행 : 2020.09.30
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참고문헌

  1. Cho, Y., C. Yoon, H. Kim, H. Moon, K.-N. An, and J. Cho, 2020: Meteorological data measured under Agrivoltaic Systems in Boseong-gun during winter barley season. Korean Journal of Agricultural Forest Meteorology 22(3), 144-151. https://doi.org/10.5532/KJAFM.2020.22.3.144
  2. Heipke, C., 2010. Crowdsourcing geospatial data. ISPRS Journal of Photogrammetry and Remote Sensing 65, 550-557. https://doi.org/10.1016/j.isprsjprs.2010.06.005
  3. Hur, J., J. H. Par, K. M. Shim, Y. S. Kim, and S. Jo, 2020: A high-resolution agro-climatic dataset for assessment of climate change over South Korea. Korean Journal of Agricultural Forest Meteorology 22(3), 128-134. https://doi.org/10.5532/KJAFM.2020.22.3.128
  4. Jo, S., K. M. Shim, J. H. Park, Y. S. Kim, and J. Hur, 2020: Extreme weather frequency data over 167 Si-gun of S. Korea with high-resolution Topoclimatology model. Korean Journal of Agricultural Forest Meteorology 22(3), 164-170. https://doi.org/10.5532/KJAFM.2020.22.3.164
  5. Kang, M., S. Cho, J. Kim, S.-W. Sohn, S.-W. Choi, and J. Park, 2020: A dataset from a test-bed to develop soil moisture estimation technology for upland fields. Korean Journal of Agricultural Forest Meteorology 22(3), 107-116. https://doi.org/10.5532/KJAFM.2020.22.3.107
  6. Kim, D., D. Jin, Y. M. Song, S. W. Son, J. H. Yoon, and G. Kim, 2020a: Construction of the invasive alien plants distribution using drone and image learning. Journal of the Association of Korean Geographers 9, 103-114. https://doi.org/10.25202/JAKG.9.1.7
  7. Kim, D.-J., J.-H. Park, S.-O. Kim, J.-H. Kim, Y. Kim, and K.-M. Shim, 2020b: A system displaying real-time meteorological data obtained from the automated observation network for verifying the early warning system for agrometeorological hazard. Korean Journal of Agricultural Forest Meteorology 22(3), 117-127. https://doi.org/10.5532/KJAFM.2020.22.3.117
  8. Kim, J., W. Sang, P. Shin, J. Back, D. Kwon, Y. Lee, J. Cho, and M. Seo, 2020c: Long-term monitoring data for growth and yield of local rice varieties in South Korea. Korean Journal of Agricultural Forest Meteorology 22(3), 176-182. https://doi.org/10.5532/KJAFM.2020.22.3.176
  9. Kim, K. S., B. H. Yoo, S. Hyun, and D. Kang, 2019: Requirement Analysis for Agricultural Meteorology Information Service Systems based on the Fourth Industrial Revolution Technologies. Korean Journal of Agricultural Forest Meteorology 21, 175-186. https://doi.org/10.5532/KJAFM.2019.21.3.175
  10. Lee, E.-H., J.-H. Lim, and J. Lee, 2010: A Review on soil respiration measurement and its application in Korea. Korean Journal of Agricultural Forest Meteorology 12(4), 264-276. https://doi.org/10.5532/KJAFM.2010.12.4.264
  11. Lee, S.-J., S.-J. Lee, ad J.-S. Koo, 2020a: Database construction of high-resolution daily meteorological and climatological data using NCAM-LAMP: Sunshine hour data. Korean Journal of Agricultural Forest Meteorology 22(3), 135-143. https://doi.org/10.5532/KJAFM.2020.22.3.135
  12. Lee, Y.-H., W.-G. Sang, J.-K. Baek, J.-H. Kim, J.-I. Cho, and Seo, M.-C., 2020b: Low-cost Assessment of Canopy Light Interception and Leaf Area in Soybean Canopy Cover using RGB Color Images. Korean Journal of Agricultural Forest Meteorology 22(1), 13-19. https://doi.org/10.5532/KJAFM.2020.22.1.13
  13. So, Y.-Y., S.-J. Lee, S.-W. Choi, and S.-J. Lee, 2020: Construction of NCAM-LAMP precipitation and soil moisture database to support landslide prediction. Korean Journal of Agricultural Forest Meteorology 22(3), 152-163. https://doi.org/10.5532/KJAFM.2020.22.3.152
  14. Wang, R.-Q., H. Mao, Y. Wang, C. Rae, W. Shaw, 2018: Hyper-resolution monitoring of urban flooding with social media and crowdsourcing data. Computers & Geosciences 111, 139-147. https://doi.org/10.1016/j.cageo.2017.11.008
  15. Wi, S. H., H. J. Lee, I. H. Yu, Y. Jang, K.-H. Yeo, S. An, and J. H. Lee, 2020: Analysis of effect of environment on growth and yield of autumn kimchi cabbage in Jeonnam province using big data. Korean Journal of Agricultural Forest Meteorology 22(3), 183-193. https://doi.org/10.5532/KJAFM.2020.22.3.183
  16. Yun, S. D., and S. G. Kim, 2020: Air pollution and weather data by Si-Gun-Gu in South Korea. Korean Journal of Agricultural Forest Meteorology 22(3), 171-175. https://doi.org/10.5532/KJAFM.2020.22.3.171