References
- Choi, H.A., Lee W.K. and Byun, W.H., 2012, Determining the effect of green spaces on urban heat distribution using satellite imagery, Asian Journal of Atmospheric Environment, Vol. 6, No. 2, pp. 127-135. https://doi.org/10.5572/ajae.2012.6.2.127
- Chun. J., Kim, K.R., Lee, S.Y., Kang, W.S., Park, J.S, Yi, C.Y., Choi, Y.J Park, E.W. and Hong, S.S., 2012, High resolution gyeonggi-do agrometeorology information analysis system based on the observational data using local analysis and prediction system (LAPS), Korean Journal of Agricultural and Forest Meteorology, Vol. 14, No. 2, pp. 53-62 https://doi.org/10.5532/KJAFM.2012.14.2.053
- Dibike, Y.B. and Coulibaly, P., 2005, Hydrologic impact of climate change in the saguenay watershed: comparison of downscaling methods and hydrologic models, Journal of Hydrology, Vol. 307 pp. 145-163. https://doi.org/10.1016/j.jhydrol.2004.10.012
- Fleig, A.K., Tallaksen, L.M., Hisdal, H. and Demuth, S., 2006, A global evaluation of streamflow drought characteristics, Hydrology and Earth System Sciences, Vol. 10. pp. 535-552. https://doi.org/10.5194/hess-10-535-2006
- Jung, J., Jin, S., and Park, M.S., 2008, Precipitation analysis based on spatial linear regression model, The Korean Journal of Applied Statistics, Vol. 21, No. 6, pp. 1093-1107. https://doi.org/10.5351/KJAS.2008.21.6.1093
- Khaliq, M.N., Ouarda, T.B.M.J., Ondo, J.C., Gachon, P. and Bobee, B., 2006, Frequency analysis of a sequence of dependent and/or non-stationary hydro-meteorological observations: A review, Journal of Hydrology, Vol. 329, pp. 534-552. https://doi.org/10.1016/j.jhydrol.2006.03.004
- Kim, M.I., Kwak, H. Lee, W.K., Won, M.S. and Koo, K.S., 2011. Study on regional spatial autocorrelation of forest fire occurrence in korea, Journal of the Korean Society for Geospatial Information Science, Vol. 19, No. 2, pp. 29-37.
- Kwak, H., Lee, W.K., Saborowski, J., Lee, S.Y., Won, M.S., Koo, K.S., Lee, M.B. and Kim, S.N., 2012, Estimating the spatial pattern of humancaused forest fires using a generalized linear mixed model with spatial autocorrelation in South Korea, International Journal of Geographical Information Science, Vol. 26, No. 9, pp. 1589-1602. https://doi.org/10.1080/13658816.2011.642799
- Lim, C.H., Song, C., Kang, B., Lee, W.K., Park, S.B. and Lee, S.J., 2014. The analysis on relationship between weather condition and forest therapy effect. The Journal of Korean Institute of Forest Recreation, Vol. 18, No. 1, pp. 85-97.
- Lim, C.H., Kim, D., Shin, Y. and Lee, W.K., 2015a, Assessment of drought severity on cropland in korea peninsula using normalized precipitation evapotranspiration index (NPEI), Journal of Climate Change Research, Vol. 6, No. 3, pp. 223-231. https://doi.org/10.15531/ksccr.2015.6.3.223
- Lim, C.H., Ryu, D.H., Song, C.H., Zhu, Y.Y., Lee, W.K. and Kim M.S., 2015b, Estimating precise spatio-temporal distribution of weather condition using semi-variogram in small scale recreation forest, Journal of the Korean Association of Geographic Information Studies, Vol. 18, No. 3, pp. 63-75. https://doi.org/10.11108/kagis.2015.18.3.063
- NIMR, 2013, Advanced research on hydrometeorology research, National Institute of Meteorological Research, Research Report, No. 11-1360395-000448-01.
- Olivier, M.A and Webster, R., 1990, Kriging: a method of interpolation for geographical information systems, International journal of geographical information systems, Vol. 4, No. 3, pp. 313-332. https://doi.org/10.1080/02693799008941549
- Park, J.H., Lee, G.S., Yang, J.S. and Kim, S.W., 2012, A Hydrometeorological time series analysis of geum river watershed with GIS data considering climate change, Journal of Korea Spatial Information Society, Vol. 20, No. 3, pp. 39-50.
- Wang, F., Wang, X., Zhao, Y. and Yang, Z., 2014, Correlation analysis of NDVI dynamics and hydro-meteorological variables in growth period for four land use types of a water scarce area, Earth Science Information, Vol. 7, pp. 187-196. https://doi.org/10.1007/s12145-013-0139-x
Cited by
- Development of an Integrated DBH Estimation Model Based on Stand and Climatic Conditions vol.9, pp.3, 2018, https://doi.org/10.3390/f9030155
- Can satellite-based data substitute for surveyed data to predict the spatial probability of forest fire? A geostatistical approach to forest fire in the Republic of Korea vol.10, pp.1, 2015, https://doi.org/10.1080/19475705.2018.1543210