Estimation of spatially distributed evapotranspiration using remote sensing and a relevance vector machine

Journal of Irrigation and Drainage Engineering

Volumn 140, Issue 8, 2014, Pages

  Bachour, Roula ^a   Walker, Wynn R ^a   Ticlavilca, Andres M ^b   McKee, Mac ^b   Maslova, Inga ^c  

^a UTAH STATE UNIVERSITY   (United States)

^b Utah State University   (United States)

^c AMERICAN UNIVERSITY   (United States)

Author keywords

Evapotranspiration; Irrigation efficiency; Mapping evapotranspiration at high resolution with internalized calibration (METRIC); Relevance vector machine; Remote sensing

Indexed keywords

EVAPOTRANSPIRATION; HYDRAULIC STRUCTURES; LEARNING SYSTEMS; MEAN SQUARE ERROR; SATELLITES; VEGETATION;

HIGH RESOLUTION; IRRIGATION EFFICIENCY; MACHINE LEARNING TECHNIQUES; NASH-SUTCLIFFE COEFFICIENT; RELEVANCE VECTOR MACHINE; ROOT MEAN SQUARED ERRORS; SPARSE BAYESIAN REGRESSION; WATER RESOURCES PLANNING AND MANAGEMENTS;

REMOTE SENSING;

ALGORITHM; ARTIFICIAL INTELLIGENCE; CALIBRATION; EVAPOTRANSPIRATION; IRRIGATION; REMOTE SENSING; SATELLITE IMAGERY;

UNITED STATES; UTAH;

EID: 84921499852     PISSN: 07339437     EISSN: 19434774     Source Type: Journal    
DOI: 10.1061/(ASCE)IR.1943-4774.0000754     Document Type: Article

References (41)

1. Allen, R. G., et al. (2013). "Automated calibration of the METRIC-landsat evapotranspiration process". J. Am. Water Resour. Assoc., 49(3), 563-576.
2. Allen, R. G., Irmak, A., Trezza, R., Hendrickx, J. M. H., Bastiaanssen, W. G. M., and Kjaersgaard, J. (2011). "Satellite-based ET estimation in agriculture using SEBAL and METRIC". Hydrol. Process., 25(26), 4011-4027.
3. Allen, R. G., Morse, A., and Tasumi, M. (2003). "Application of SEBAL for western US water rights regulation and planning". Int. Workshop on Remote Sensing of Evapotranspiration for Large Regions, IEC Meeting of Int. Commission on Irrigation and Drainage (ICID) Proc., International Commission on Irrigation and Drainage (ICID), New Delhi, India.
4. Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). "Crop evapotranspiration: Guidelines for computing crop water requirements". FAO Irrigation and Drainage Paper No. 56, Food and Agricultural Organization of the United Nations, Rome.
5. Allen, R. G., Tasumi, M., Morse, A., and Trezza, R. (2005). "A Landsat-based energy balance and evapotranspiration model in Western US water rights regulation and planning". Irrig. Drain. Syst., 19(3-4), 251-268.
6. Allen, R. G., Tasumi, M., and Trezza, R. (2007). "Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-model". J. Irrig. Drain. Eng. 380-394. 10.1061/(ASCE)0733-9437(2007)133:4(380).
7. Allen, R. G., Trezza, R., Tasumi, M., and Kjaersgaard, J. (2012). "Mapping evapotranspiration at high resolution using internalized calibration: Application manual for Landsat satellite imagery". Version 2.0.8, Univ. of Idaho, Kimberly, ID.
8. Anderson, M. C., Allen, R. G., Morse, A., and Kustas, W. P. (2012). "Use of Lansdat thermal imagery in monitoring evapotranspiration and managing water resources". Remote Sens. Environ., 122, 50-65.
9. Anderson, M. C., Norman, J. M., Mecikalski, J. R., Otkin, J. P., and Kustas, W. P. (2007). "A climatological study of evapotranspiration and moisture stress across the continental U.S. based on thermal remote sensing: I. Model formulation". J. Geophys. Res., 112(D10), D10117.
10. ASCE Task Committee on Definition of Criteria for Evaluation of Watershed Models of the Watershed Management, Irrigation, Drainage Division. (1993). "Criteria for evaluation of watershed models". J. Irrig. Drain. Eng. 429-442. 10.1061/(ASCE)0733-9437(1993)119:3(429).
11. Bachour, R. (2013). "Modeling and forecasting evapotranspiration for better management of irrigation command areas". Ph.D. thesis, Utah State Univ., Logan, UT.
12. Bastiaanssen, W. G. M. (1995). "Regionalization of surface flux densities and moisture indicators in composite terrain: A remote sensing approach under clear skies in Mediterranean climates". Ph.D. thesis, Univ. of Wageningen, Wageningen, Netherlands.
13. Bastiaanssen, W. G. M., Allen, R. G., Pelgrum, H., Texeira, A. H., Soppe, R. W. O., and Thoreson, B. P. (2008). "Thermal-infrared technology for local and regional scale irrigation analyses in horticultural systems". 5th Int. Symp. on Irrigation of Horticultural Crops, I. Goodwin and M. G. O'Connell, 33-46.
14. Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., and Holtslag, A. A. M. (1998). "A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation". J. Hydrol., 212, 198-212.
15. Chavez, P. S., Jr. (1996). "Image-based atmospheric corrections-Revised and improved". Photogramm. Eng. Remote Sens., 62(9), 1025-1036.
16. Community Environmental Monitoring Program (CEMP). (2012). "Data collection program of the community environmental monitoring program (CEMP)". (Dec. 1, 2012).
17. ERDAS Imagine [Computer software]. Erdas, Norcross, GA.
18. Fischer, A. (1994). "A simple model for the temporal variations of NDVI at a regional scale over agricultural countries. Validation with ground radiometric measurements". Int. J. Remote Sens., 15(7), 1421-1446.
19. Folhes, M. T., Renno, C. D., and Soares, J. V. (2009). "Remore sensing for irrigation water management in the semi-arid northeast of Brazil". Agric. Water Manage., 96(10), 1398-1408.
20. Gowda, P. H., Chavez, J. L., Colaizzi, P. D., Evett, S. R., Howell, T. A., and Tolk, J. A. (2008). "ET mapping for agricultural water management: Present status and challenges". Irrig. Sci., 26(3), 223-237.
21. Huete, A. R. (1988). "A soil-adjusted vegetation index (SAVI)". Remote Sens. Environ., 25(3), 53-70.
22. Irmak, A., et al. (2011). "Estimation of land surface evapotranspiration with a satellite remote sensing procedure". Great Plains Res., 21, 73-88.
23. Kaheil, Y. H., Rosero, E., Gill, M. K., McKee, M., and Bastidas, L. A. (2008). "Downscaling and forecasting of evapotranspiration using a synthetic model of wavelets and support vector machines". IEEE Trans. Geosci. Remote Sens., 46(9), 2692-2707.
24. Khalil, A., McKee, M., Kemblowski, M. W., Asefa, T., and Bastidas, L. (2006). "Multiobjective analysis of chaotic dynamic systems with sparse learning machines". Adv. Water Resour., 29(1), 72-88.
25. Legates, D. R., and McCabe, G. J. (1999). "Evaluating the use of 'goodness-of-fit' measures in hydrological and hydroclimatic model validation". Water Resour. Res., 35(1), 233-241.
26. Mauser, W., and Schädlich, S. (1998). "Modelling the spatial distribution of evapotranspiration on different scales using remote sensing data". J. Hydrol., 212, 250-267.
27. Nash, J. E., and Shutcliffe, J. V. (1970). "River flow forecasting through conceptual models". Int. J. Hydrol., 10(3), 282-290.
28. National Land Cover Database (NLCD). (2006). "National Land Cover Database 2006". (Nov. 11, 2011).
29. Neale, C. M. U., et al. (2012). "Soil water content estimation using a remote sensing based hybrid evapotranspiration modeling approach". Adv. Water Resour., 50, 152-161.
30. Singh, R. K., Liu, S., Tieszen, L. L., Suyker, A. E., and Verma, S. B. (2012). "Estimating seasonal evapotranspiration from temporal satellite images". Irrig. Sci., 30(4), 303-313.
31. Tasumi, M., Trezza, R., Allen, R. G., and Wright, J. L. (2005). "Operational aspects of satellite-based energy balance models for irrigated crops in the semi-arid U.S". Irrig. Drain. Syst., 19(3-4), 355-376.
32. Thenkabail, P. S., et al. (2009). "Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium". Int. J. Remote Sens., 30(14), 3679-3733.
33. Ticlavilca, A. M., and McKee, M. (2011). "Multivariate Bayesian regression approach to forecast releases from a system of multiple reservoirs". Water Resour. Manage., 25(2), 523-543.
34. Ticlavilca, A. M., McKee, M., and Walker, W. R. (2013). "Real-time forecasting of short-term irrigation canal demands using a robust multivariate Bayesian learning model". Irrig. Sci., 31(2), 151-167.
35. Tipping, M. E. (2001). "Sparse Bayesian learning and the relevance vector machine". J. Mach. Learn., 1, 211-244.
36. Tipping, M. E. (2004). "Bayesian inference: An introduction to principles and practice in machine learning". Advanced lectures on machine learning, O. Bousquet, U. von Luxburg, and G. Ratsch, eds., Springer, Berlin, 41-62.
37. Tipping, M. E., and Faul, A. C. (2003). "Fast marginal likelihood maximisation for sparse Bayesian models". Proc., Ninth Int. Workshop on Artificial Intelligence and Statistics, C. M. Bishop and B. J. Frey, eds., Society for Artificial Intelligence and Statistics, NJ, 596-608.
38. Torres, A. F., Walker, W. R., and McKee, M. (2011). "Forecasting daily potential evapotranspiration using machine learning and limited climatic data". Agric. Water Manage., 98(4), 553-562.
39. Walker, W. R., and Stringam, B. L. (2000). "Canal automation for water conservation and improved flexibility". Proc., 4th Decennial National Irrigation Symp, American Society of Agricultural Engineers (ASAE), MI.
40. Yang, F., et al. (2006). "Prediction of continental-scale evapotranspiration by combining MODIS and AmeriFlux data through support vector machine". IEEE Trans. Geosci. Remote Sens., 44(11), 3452-3461.
41. Zhan, H., Shi, P., and Chen, C. (2003). "Retrieval of oceanic chlorophyll concentration using support vector machine". IEEE Trans. Geosci. Remote Sens., 41(12), 2947-2951.