Temporal-spatial variation in crop evapotranspiration in Hebei Plain, China

Journal of Food, Agriculture and Environment

Volumn 8, Issue 2, 2010, Pages 672-677

  Zhang, Shengwei ^a,b   Lei, Yuping ^a   Li, Hongjun ^a   Wang, Zhen ^a,b  

^a INSTITUTE OF GENETICS AND DEVELOPMENTAL BIOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Crop; Evapotranspiration; Hebei Plain; MODIS; Remote sensing; Temporal spatial variation

Indexed keywords

ARTICLE; CHINA; COMPARATIVE STUDY; CONTROLLED STUDY; CROP PRODUCTION; EVAPOTRANSPIRATION; IRRIGATION (AGRICULTURE); NONHUMAN; PLANT GROWTH; SUMMER; WATER AVAILABILITY; WHEAT; WINTER;

TRITICUM AESTIVUM;

EID: 77952789571     PISSN: 14590255     EISSN: 14590263     Source Type: Journal    
DOI: None     Document Type: Article

References (30)

1. Hornberger, G., Raffensperger, J., Wiberg, P. and Eshleman, K. 1998. Elements of Physical Hydrology. Johns Hopkins University Press, Baltimore, MD.
2. Rosegrant, M. and Cline, S. 2002. The politics and economics of water pricing in developing countries. Water Resources Impact 4:6-8.
3. Rosen, C. and Roberts, L. 2000. World Resources 2000-2001: People and Ecosystems: Fraying Web of Life. World Resources Institute.
4. Chehbouni, A., Escadafal, R., Duchemin, B., Boulet, G., Simonneaux, V., Dedieu, G., Mougenot, B., Khabba, S., Kharrou, H. and Maisongrande, P. 2008. An integrated modelling and remote sensing approach for hydrological study in arid and semi-arid regions: The SUDMED Programme. International Journal of Remote Sensing 29:5161-5181.
5. Doll, P. and Siebert, S. 2002. Global modeling of irrigation water requirements. Water Resources Research 38(4):1037. (Pubitemid 34979069)
6. Seguin, B. and Itier, B. 1983. Using midday surface temperature to estimate daily evaporation from satellite thermal IR data. International Journal of Remote Sensing 4:371-383. (Pubitemid 13523611)
7. Bastiaanssen, W., Menenti, M., Feddes, R. and Holtslag, A. 1998. A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation. Journal of Hydrology 212:198-212. (Pubitemid 29020066)
8. Su, Z. 2002. The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes. Hydrology and Earth System Sciences 6:85-99. (Pubitemid 34235549)
9. Nishida, K., Nemani, R., Glassy, J. and Running, S. 2003. Development of an evapotranspiration index from Aqua/MODIS for monitoring surface moisture status. IEEE Transactions on Geoscience and Remote Sensing 41:493-501. (Pubitemid 350178149)
10. Allen, R., Tasumi, M. and Trezza, R. 2007. Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)-Model. Journal of irrigation and drainage engineering 133:380-394. (Pubitemid 47102986)
11. Li, H., Zheng, L., Lei, Y., Li, C., Liu, Z. and Zhang, S. 2008. Estimation of water consumption and crop water productivity of winter wheat in North China Plain using remote sensing technology. Agricultural Water Management 95:1271-1278.
12. Timmermans, W.J. and Meijerink, A.M.J. 1999. Remotely sensed actual evapotranspiration: implications for groundwater management in Botswana. International Journal of Applied Earth Observation and Geoinformation 1:222-233.
13. Mu, Q., Heinsch, F., Zhao, M. and Running, S. 2007. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment 111:519-536. (Pubitemid 350016146)
14. Venturini, V., Islam, S. and Rodriguez, L. 2008. Estimation of evaporative fraction and evapotranspiration from MODIS products using a complementary based model. Remote Sensing of Environment 112:132-141. (Pubitemid 350138004)
15. Lei, Y., Shu, Y., Zheng, L. and Li, H. 2005. Estimating regional agricultural water use based on remote sensing data: A case study at Luancheng County of North China Plain. In Gao, W. and Shaw, D. R. (eds). Proc. SPIE Remote Sensing and Modeling of Ecosystems for Sustainability II. Vol. 5884, pp. 119-126.
16. McCabe, M.F. and Wood, E.F. 2006. Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors. Remote Sensing of Environment 105:271-285.
17. Wardlow, B., Egbert, S. and Kastens, J. 2007. Analysis of time-series MODIS 250 m vegetation index data for crop classification in the US Central Great Plains. Remote Sensing of Environment 108:290-310.
18. Zhang, M., Zhou, Q., Chen, Z., Liu, J., Zhou, Y. and Cai, C. 2008. Crop discrimination in Northern China with double cropping systems using Fourier analysis of time-series MODIS data. International Journal of Applied Earth Observations and Geoinformation 10:476-485.
19. Zhang, Y. and Wegehenkel, M. 2006. Integration of MODIS data into a simple model for the spatial distributed simulation of soil water content and evapotranspiration. Remote Sensing of Environment 104:393-408.
20. Liu, C., Yu, J. and Eloise, K. 2001. Groundwater exploitation and its impact on the environment in the North China Plain. Water International 26:265-272.
21. Vermote, E.F. and Kotchenova, S.Y. 2008. MOD09 (Surface Reflectance) User' Guide Version 1.1, MODIS Land Surface Reflectance Science Computing Facility.
22. Wan, Z. and Dozier, J. 1996. A generalized split-window algorithm for retrieving land-surfacetemperature from space. IEEE Transactions on Geoscience and Remote Sensing 34:892-905.
23. Schaaf, C., Gao, F., Strahler, A., Lucht, W., Li, X., Tsang, T., Strugnell, N., Zhang, X., Jin, Y. and Muller, J. 2002. First operational BRDF, albedo nadir reflectance products from MODIS. Remote Sensing of Environment 83:135-148. (Pubitemid 35307465)
24. Strahler, A., Muller, J., Lucht, C., Tsang, T., Gao, F., Li, X., Lewis, P. and Barnsley, M. 1999. MODIS BRDF/albedo Product: Algorithm Theoretical Basis Document Version 5.0. Boston University.
25. 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. Agricultural and Forest Meteorology 111:109-120.
26. Xiao, X., Braswell, B., Zhang, Q., Boles, S., Frolking, S. and Moore III, B. 2003. Sensitivity of vegetation indices to atmospheric aerosols: Continental-scale observations in Northern Asia. Remote Sensing of Environment 84:385-392.
27. Lu, X., Liu, R., Liu, J. and Liang, S. 2007. Removal of noise by wavelet method to generate high quality temporal data of terrestrial MODIS products. Photogrammetric Engineering and Remote Sensing 73: 1129-1139. (Pubitemid 47548268)
28. Liu, R., Liang, S., He, H., Liu, J. and Zheng, T. 2008. Mapping incident photosynthetically active radiation from MODIS data over China. Remote Sensing of Environment 112:998-1009.
29. Xiong, J., Wu, B., Yan, N., Hu, M. and Sun, M. 2008. Research on temporal reconstruction of evapotranspiration by using remote sensing. Progress in Geography 27:53-59.
30. Wang, H., Zhang, L., Dawes, W.R. and Liu, C. 2001. Improving water use efficiency of irrigated crops in the North China Plain - Measurements and modelling. Agricultural Water Management 48:151-167. (Pubitemid 32434630)