모델링기반 산림지역 토양수분 평가를 위한 MODIS NDVI 및 LST 활용 방안

  • 발행 : 2016.11.30

초록

키워드

참고문헌

  1. 박종윤, 정혁, 장철희, 김성준, 2014. RCP 배출 시나리오와 SWAT 모형을 이용한 기후변화가 용담댐 유역의 수문요소에 미치는 영향 평가. 한국농공학회논문집, 56(3):19-29. https://doi.org/10.5389/KSAE.2014.56.3.019
  2. 신사철, 안태용, 2007. 인공위성 자료를 활용한 광역증발산량의 산정방법 개발. 한국지리정보학회지, 10(2):70-80.
  3. 홍우용, 박민지, 박종윤, 하림, 박근애, 김성준, 2009. 봄철 SWAT모형의 토양수분과 Terra MODIS 위성영상 NDVI와의 상관성 분석. 한국농공학회논문집, 51(2):7-14. https://doi.org/10.5389/KSAE.2009.51.2.007
  4. Arnold, J.G., R. Srinivasan, R.S. Muttiah, and J.R. Williams. 1998. Large area hydrologic modeling and assessment - Part 1: model development. Journal of the American Water Resources Association 34:73-89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
  5. Farrar, T.J., 1994. The influence of soil type on the relationships between NDVI, rainfall, and soil moisture in semiarid Botswana: II. NDVI response to soil moisture. Remote Sensing of Environment, 50(2):121-133. https://doi.org/10.1016/0034-4257(94)90039-6
  6. Hong, W.Y., M.J. Park, J.Y. Park, G.A. Park, and S.J. Kim, 2010. The spatial and temporal correlation analysis between MODIS NDVI and SWAT predicted soil moisture during forest NDVI increasing and decreasing periods. KSCE Journal of Civil Engineering, 14(6):931-939. https://doi.org/10.1007/s12205-010-0851-8
  7. Huete, A.R., K. Didan, T. Miura, E.P. Rodriguez, X. Gao, and L.G. Ferreira, 2002. Overview of the radiometric and biophysical performance of the MODI S vegetation indices. Remote Sensing of Environment, 83:195-213. https://doi.org/10.1016/S0034-4257(02)00096-2
  8. Hutchinson, J.M.S., and T.J. Vought, 2006. Continuous soil moisture mapping using MODIS NDVI and LST products. Papers of the Applied Geography Conferences, 29:140-149.
  9. Moriasi, D.N., J.G. Arnold, M.W.V. Liew, R.L. Bingner, R.D. Harmel, and T.L. Veith, 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE 50:885-900. https://doi.org/10.13031/2013.23153
  10. Narasimhan, B., and R. Srinivasan, 2005. Development and evaluation of Soil Moisture Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for agricultural drought monitoring. Agricultural and Forest Meteorology, 133(1):69-88. https://doi.org/10.1016/j.agrformet.2005.07.012
  11. Nash, J.E., and J.V. Sutcliffe, 1970. River flow forecasting through conceptual models, Part I: a discussion of principles. Journal of Hydrology 10:282-290. https://doi.org/10.1016/0022-1694(70)90255-6
  12. Neitsch, S.L., J.G. Arnold, J.R. Kiniry, and J.R. Williams, 2011. Soil and Water Assessment Tool Theoretical Documentation Version 2009. Technical Report 406, Temple, TX: Texas Water Resources Institute.
  13. Park, J.Y., S.R. Ahn, S.J. Hwang, C.H. Jang, G.A. Park, and S.J. Kim, 2014. Evaluation of MODIS NDVI and LST for indicating soil moisture of forest areas based on SWAT modeling. Paddy and Water Environment, 12(Supp. 1):S77-S88. https://doi.org/10.1007/s10333-014-0425-3