참고문헌
- Ahn, J.B., J.N. Hur, and K.M. Shim. 2010. A Simulation of Agro-Climate Index over the Korean Peninsula Using Dynamical Downscaling with a Numerical Weather Prediction Model, Korean J. Agric. For. Meteorol., 12(1):1-10. https://doi.org/10.5532/KJAFM.2010.12.1.001
- Back, S.B., B.Y. Son, J.T. Kim, J.S. Lee, S.R. Kim, and W.H. Kim. 2011. RDA Interrobang, Rural Development Administration, 20:10-11.
- Becker-Reshef, I., E. Vermote, M. Lineman, and C. Justice. 2010. A Generalized Regression-based Model for Forecasting Winter Wheat Yields in Kansas and Ukraine using MODIS Data, Remote Sens. Environ., 114:1312-1323. https://doi.org/10.1016/j.rse.2010.01.010
- Doraiswamy, P.C., T.R. Sinclair, S. Hollinger, B. Akhmedov, A. Stern, and J. Prueger. 2005. Application of MODIS derived parameters for regional crop yield assessment, Remote Sens. Environ., 97:192-202. https://doi.org/10.1016/j.rse.2005.03.015
- Hong, S.Y., S.K. Rim, S.J. Hwang, and S.O. Kim. 1998. Characteristics of Spectral Reflectance for Corns and Legumes at OSMI (Ocean Scanning Multi-spectral Imager) Bands, Remote Sens. Environ., 14(4):343-352.
- Hong, S.Y., E.Y. Choe, G.Y. Kim, S.K. Kang, Y.H. Kim, and Y.S. Zhang. 2009. A Study on Estimating Rice Yield of North Korea using MODIS NDVI, Proc. of 2009 Korea Remote Sensing Symposium, Seoul, Korea, Mar. 25, 116-120.
- Hong, S.Y., J.N. Hur, J.B. Ahn, J.M. Lee, B.K. Min, C.K. Lee, Y.H. Kim, K.D. Lee, S.H. Kim, G.Y. Kim, and K.M. Shim. 2012. Estimating Rice Yield Using MODIS NDVI and Meteorological Data in Korea, Remote Sens. Environ., 28(5):509-520.
- Kim, Y.H. and S.Y. Hong. 2011. Estimation of Soybean Growth Using Polarimetic Discrimination Ratio by Radar Scatterometer, Korean J. Soil Sci. Fert. 44(5):878-886. https://doi.org/10.7745/KJSSF.2011.44.5.878
- Ko, J.M., H.T. Kim, H.T. Yoon, T.J. Ha, and I.Y. Back. 2011. RDA Interrobang, Rural Development Administration, 35:7-9.
- Lin W. et al. 2007. Vegetation NPP distribution based on MODIS data and CASA model-A case study in Haihe River basin, China, Proc. of SPIE, Vol. 6625.
- Na, S.I., J.H. Park, and J.K. Park. 2012. Development of Korean Paddy Rice Yield Prediction Model (KRPM) using Meteorological Element and MODIS NDVI, Journal of the Korean Society of Agricultural Engineers, 54(3):141-148. https://doi.org/10.5389/KSAE.2012.54.3.141
- Na, S.I., S.Y. Hong, Y.H. Kim, K.D. Lee, and S.Y. Jang. 2013. Prediction of Rice Yield in Korea using Paddy Rice NPP index: Application of MODIS data and CASA Model, Remote Sens. Environ., 29(5):461-476.
- Noemi G. 2010. Estimating Maize Grain Yield from Crop Biophysical Parameters Using Remote Sensing, Digital Commons@University of Nebraska-Lincoln.
- Potter, C., S. Klooster, R. Myneni, and V. Genovese. 2003. Terrestrial Carbon Sinks Predicted from MODIS Satellite Data and Ecosystem Modeling, Geophysical Research Letters.
- Raich, J.W., E.B. Rastetter, J.M. Melillo, D.W. Kicklighter, P.A. Steudler, B.J. Peterson, A. Grace, B. Moore, and C.J. Vorosmarty. 1991. Potential net primary productivity in South-America-application of a global-model, Ecological Applications, 1:399-429. https://doi.org/10.2307/1941899
- Ren J.Q., Z.X. Chen, Q.B. Zhou, and H.J. Tang. 2008. Regional Yield Estimation for Winter Wheat with MODIS-NDVI Data in Shandong, China, International Journal of Applied Earth Observation and Geoinformation, 10:403-413. https://doi.org/10.1016/j.jag.2007.11.003
- Rojas, O. 2007. Operational Maize Yield Model Development and Validation Based on Remote Sensing and Agro-meteorological Data in Kenya, Int, J. Remote Sens., 28(17):3775-3793. https://doi.org/10.1080/01431160601075608
- Tao, F., M. Yokozawa, Z. Zhang, Y. Xu, and Y. Hayashi. 2005. Remote Sensing of Crop Production in China by Production Efficiency Models:Models Comparisons, Estimates and Uncertainties, Ecological Modelling, 183:385-396. https://doi.org/10.1016/j.ecolmodel.2004.08.023
- Xiao X. M., D. Hollinger, J.D. Aber, M. Goltz, E. A. Davidson, and Q. Y. Zhang. 2004. Satellite-based Modeling of Gross Primary Production in an Evergreen Needleleaf Forest, Remote Sens. Environ., 89:519-534. https://doi.org/10.1016/j.rse.2003.11.008
피인용 문헌
- Machine Learning Approaches to Corn Yield Estimation Using Satellite Images and Climate Data: A Case of Iowa State vol.34, pp.4, 2016, https://doi.org/10.7848/ksgpc.2016.34.4.383
- Estimation of Chinese Cabbage Growth by RapidEye Imagery and Field Investigation Data vol.48, pp.5, 2015, https://doi.org/10.7745/KJSSF.2015.48.5.556