Detrending Crop Yield Data for Improving MODIS NDVI and Meteorological Data Based Rice Yield Estimation Model |
Na, Sang-il
(Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration)
Hong, Suk-young (Rural Environment & Resources Division, National Institute of Agricultural Sciences, Rural Development Administration) Ahn, Ho-yong (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration) Park, Chan-won (Research Policy Bureau, Rural Development Administration) So, Kyu-ho (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration) Lee, Kyung-do (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration) |
1 | Mishra, V. and K. Cherkauer, 2010. Retrospective droughts in the crop growing season: Implications to corn and soybean yield in the Midwestern United States, Agricultural and Forest Meteorology, 150: 1030-1045. DOI |
2 | 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 (in Korean with English abstract). DOI |
3 | Na, S.I., S.Y. Hong, Y.H. Kim, and K.D. Lee, 2013. Prediction of rice yield in Korea using paddy rice NPP index - Application of MODIS data and CASA model, Korean Journal of Remote Sensing, 29(5): 461-476 (in Korean with English abstract). DOI |
4 | Rojas, O., 2007. Operational maize yield model development and validation based on remote sensing and agro-meteorological data in Kenya, International Journal of Remote Sensing, 28(17): 3775-3793. DOI |
5 | Sadras V.O., K.G. Cassman, P. Grassini, A.J. Hall, W.G.M. Bastiaanssen, A.G. Laborte, A.E. Milne, G. Sileshi, and P. Steduto, 2015. Yield Gap Analysis of Field Crops: Methods and Case Studies, Food and Agriculture Organization of the United Nations, Rome, IT. |
6 | Wu, Z., N.E. Huang, S.R. Long, and C.K. Peng, 2007. On the trend, detrending, and variability of nonlinear and nonstationary time series, Proceeded of National Academy of Sciences, 104(38): 14889-14894. DOI |
7 | Cressman, G.P., 1959. An operational objective analysis system, Monthly Weather Review, 87: 367-374. DOI |
8 | Ahn, J.B., J. 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 Journal of Agricultural and Forest Meteorology, 12(1): 1-10 (in Korean with English abstract). DOI |
9 | Campbell, J.B., 1996. Introduction to Remote Sensing 2nd ed, The Gilford Press, 4(5): 550-551. |
10 | Cockm J.H. and S. Yoshida, 1972. Accumulation of 14C-labelled carbohydrate before flowering and its subsequent redistribution and respiration in the rice plant, Proceeded of the Crop Science Society of Japan, 41: 226-234. |
11 | Data Portal Homepage, http://www.data.go.kr/, Accessed on Sep. 25, 2020. |
12 | Goldblum, D., 2009. Sensitivity of corn and soybean yield in Illinois to air temperature and precipitation: the potential impact of future climate change, Physical Geography, 30(1): 27-42. DOI |
13 | Hong, S.Y., 1999. Analysis on rice growth information and estimation of paddy field area by using remotely sensed data, Dissertation, Kyungpook National University, Daegu, KOR (in Korean with English abstract). |
14 | Lee, K.D., S.Y. Hong, S.G. Kim, C.W. Park, H.Y. Ahn, S.I. Na, and K.H. So, 2020. Estimation of rice cultivation area using Sentinel-1 imagery in South Korea, Korean Journal of Soil Science and Fertilizer, 53(3): 345-354. (in Korean with English abstract). DOI |
15 | Hong, S.Y., J.T. Lee, S.K. Rim, and J.S. Shin, 1997. Radiometric estimates of grain yields related to crop aboveground net production(ANP) in paddy rice, Proc. of 1997 International Geoscience and Remote Sensing Symposium, SG, Aug. 3-8, Vol. 4, pp. 1793-1795. |
16 | Hong, S.Y., J. Hur, J.B. Ahn, J.M. Lee, B.K. Min, C.K. Lee, Y. 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, Korean Journal of Remote Sensing, 28(5): 509-520 (in Korean with English abstract). DOI |
17 | Hong, S.Y., S.I. Na, K.D. Lee, Y.S. Kim, and S.C. Baek, 2015. A study on estimating rice yield in DPRK using MODIS NDVI and rainfall data, Korean Journal of Remote Sensing, 31(5): 441-448 (in Korean with English abstract). DOI |
18 | Korean Statistical Information Service Homepage, http://www.kosis.kr/, Accessed on Sep. 12, 2020. |
19 | Kim, Y.H. and, S.Y. Hong, 2008. Estimation of rice grain protein content using optical ground sensor, Korean Journal of Remote Sensing, 24(6): 551-558 (in Korean with English abstract). DOI |
20 | Lizumi, T., M. Kotoku, W. Kim, P.C. West, J.S. Gerber, and M.E. Brown, 2018. Uncertainties of potentials and recent changes in global yields of major crops resulting from census- and satellite-based yield datasets at multiple resolutions, PLoS ONE, 13(9): 1-15. |
21 | Lu, J., G.J. Carbone, and P. Gao, 2017. Detrending crop yield data for spatial visualization of drought impacts in the United States, 1895-2014, Agricultural and Forest Meteorology, 237-238: 196-208. DOI |