Combining the Crop Coefficient of Winter Wheat and Summer Maize with a Remotely Sensed Vegetation Index for Estimating Evapotranspiration in the North China Plain
Publication: Journal of Hydrologic Engineering
Volume 19, Issue 1
Abstract
Estimates of actual evapotranspiration () in the wheat and maize fields are essential in effective planning of irrigation water use in the North China Plain. A widely used method for estimation in agriculture is crucially dependent on the determination of crop coefficient curves. Estimating the coefficient coefficients from vegetation index (VI) is useful for regional simulation because the VI can represent the actual crop conditions and capture the spatial variability. In this study, the basal crop coefficient and soil evaporation coefficient were combined with the commonly used VI obtained from satellite sensor based on the observed data from a flux tower. The basal crop coefficient had a fairly good linear relationship with the VI, and the soil evaporation coefficient was well related to the vegetation fraction, which was calculated from the VI. Using the VI-derived crop coefficient curves, can be well simulated by a widely used estimation method. Moreover, simulation of was improved by the VI-derived basal crop coefficient curves. The new relationships between the crop coefficients and VI employed in the dual crop coefficient approach have great potential in the estimation of regional in the region.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
We thank Dr. Shen Yanjun of the Chinese Academy of Sciences for providing the observed data from the Luancheng site. This research was supported by the National Natural Science Funds for Distinguished Young Scholar (Project No. 51025931) and the National Natural Science Foundation of China (Project Nos. 50939004 and 51209117).
References
Adegoke, J., and Carleton, A. (2002). “Relations between soil moisture and satellite vegetation indices in the U.S. corn belt.” J. Hydrometeorol., 3(4), 395–405.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). “Crop evapotranspiration: Guidelines for computing crop water requirements.” Irrigation and drainage Paper No. 56, Food and Agricultural Organization of the United Nations (FAO), Rome.
Allen, R. G., Pereira, L. S., Smith, M., Raes, D., and Wright, J. L. (2005). “FAO-56 dual crop coefficient method for estimating evaporation from soil and application extensions.” J. Irrig. Drain. Eng., 2–13.
Carlson, T. N., and Ripley, D. A. (1997). “On the relation between NDVI, fractional vegetation cover, and leaf area index.” Remote Sens. Environ., 62(3), 241–252.
Duchemin, B., et al. (2006). “Monitoring wheat phenology and irrigation in central Morocco: On the use of relationships between evapotranspiration, crop coefficients, leaf area index and remotely-sensed vegetation indices.” Agric. Water Manage., 79(1), 1–27.
Er-Raki, S., Chehbouni, A., Boulet, G., and Williams, D. G. (2010a). “Using the dual approach of FAO-56 for partitioning ET into soil and plant components for olive orchards in a semi-arid region.” Agric. Water Manage., 97(11), 1769–1778.
Er-Raki, S., Chehbouni, A., and Duchemin, B. (2010b). “Combining satellite remote sensing data with the FAO-56 dual approach for water use mapping in irrigated wheat fields of a semi-arid region.” Remote Sens., 2(1), 375–387.
Er-Raki, S., Chebouni, A., Guemouria, N., Duchemin, B., Ezzahar, J., and Hadria, R. (2007). “Combining FAO-56 model and ground-based remote sensing to estimate water consumptions of wheat crops in a semi-arid region.” Agric. Water Manage., 87(1), 41–54.
Falge, E., et al. (2001). “Gap filling strategies for defensible annual sums of net ecosystem exchange.” Agric. For. Meteorol., 107(1), 43–69.
Gao, Y., et al. (2009). “Crop coefficient and water-use efficiency of winter wheat/spring maize strip intercropping.” Field Crop Res., 111(1–2), 65–73.
Gontia, N. K., and Tiwari, K. N. (2010). “Estimation of crop coefficient and evapotranspiration of wheat (Triticum aestivum) in an irrigation command using remote sensing and GIS.” Water Resour. Manage., 24(7), 1399–1414.
Huete, A. (1988). “A soil-adjusted vegetation index (SAVI).” Remote Sens. Environ., 25(3), 295–309.
Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., and Ferreira, L. G. (2002). “Overview of the radiometric and biophysical performance of the MODIS vegetation indices.” Remote Sens. Environ., 83(1–2), 195–213.
Hunsaker, D. J., Pinter, P. J., Jr., and Kimball, B. A. (2005). “Wheat basal crop coefficients determined by normalized difference vegetation index.” Irrig. Sci., 24(1), 1–14.
Jayanthi, H., Neale, C. M. U., and Wright, J. L. (2007). “Development and validation of canopy reflectance-based crop coefficient for potato.” Agric. Water Manage., 88(1–3), 235–246.
Jönsson, P., and Eklundh, L. (2004). “TIMESAT—A program for analysing time-series of satellite sensor data.” Comput. Geosci., 30(8), 833–845.
Kalvelage, T., and Willems, J. (2005). “Supporting users through integrated retrieval, processing, and distribution systems at the Land Processes Distributed Active Archive Center.” Acta Astronaut, 56(7), 681–687.
Lei, H. M., and Yang, D. W. (2010). “Interannual and seasonal variability in evapotranspiration and energy partitioning over an irrigated cropland in the North China Plain.” Agric. For. Meteorol., 150(4), 581–589.
Lei, H. M., Yang, D. W., Shen, Y., Liu, Y., and Zhang, Y. (2011). “Simulation of evapotranspiration and carbon dioxide flux in the wheat-maize rotation croplands of the North China Plain using the simple biosphere model.” Hydrol Process. 25(20), 3107–3120.
Liu, C., Zhang, X., and Zhang, Y. (2002). “Determination of daily evaporation and evapotranspiration of winter wheat and maize by large-scale weighing lysimeter and micro-lysimeter.” Agric. For. Meteorol., 111(2), 109–120.
Liu, Y., and Luo, Y. (2010). “A consolidated evaluation of the FAO-56 dual crop coefficient approach using the lysimeter data in the North China Plain.” Agric. Water Manage., 97(1), 31–40.
Neale, C. U. U., Bausch, W. C., and Heermann, D. F. (1989). “Development of reflectance-based crop coefficients for corn.” Trans. ASAE, 32(6), 1891–1899.
Qi, J., Chehbouni, A., Huete, A. R., Derr, Y. H., and Sorooshian, S. (1994). “A modified soil adjusted vegetation index.” Remote Sens. Environ., 48(2), 119–126.
Ray, S. S., and Dadhwal, V. K. (2001). “Estimation of crop evapotranspiration of irrigation command area using remote sensing and GIS.” Agric. Water Manage., 49(3), 239–249.
Rouse, J. W., Haas, R. H., Schell, J. A., Deering, D. W., and Harlan, J. C. (1974). “Monitoring the vernal advancement and retrogradation (greenwave effect) of natural vegetation.” NASA/GSFC, Type III, Final Rep., National Aeronautics and Space Administration, Greenbelt, MD.
Steven, M. D., Malthus, T. J., Baret, F., Xu, H., and Chopping, M. J. (2003). “Intercalibration of vegetation indices from different sensor systems.” Remote Sens. Environ., 88(4), 412–422.
Sun, H., et al. (2010). “Effect of precipitation change on water balance and WUE of the winter wheat–summer maize rotation in the North China Plain.” Agric. Water Manage., 97(8), 1139–1145.
Sun, H., Liu, C., Zhang, Y., and Zhang, X. (2004). “Study on soil evaporation by using mirco-lysimeter.” J. Hydraul. Eng., 8(8), 114–118 (in Chinese).
Tarnavsky, E., Garrigues, S., and Brown, M. E. (2008). “Multiscale geostatistical analysis of AVHRR, SPOT-VGT, and MODIS global NDVI products.” Remote Sens. Environ., 112(2), 535–549.
TIMESAT 3.0 [Computer software]. Lund University, Lund, Sweden.
Twine, T. E., et al. (2000). “Correcting eddy-covariance flux underestimates over a grassland.” Agric. For. Meteorol., 103(3), 279–300.
Yi, Y., Yang, D. W., Chen, D., and Huang, J. (2007). “Retrieving crop physiological parameters and assessing water deficiency using MODIS data during the winter wheat growing period.” Can. J. Remote Sens., 33(3), 189–202.
Zhao, N. N., Liu, Y., and Cai, J. B. (2010). “Calculation of crop coefficient and water consumption of summer maize.” J. Hydraul. Eng., 41(8), 953–969 (in Chinese).
Information & Authors
Information
Published In
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Jun 22, 2012
Accepted: Dec 11, 2012
Published online: Dec 13, 2012
Discussion open until: May 13, 2013
Published in print: Jan 1, 2014
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.