[Home ] [Archive]   [ فارسی ]  
:: About :: Main :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 32, Issue 2 (9-2017) ::
geores 2017, 32(2): 80-92 Back to browse issues page
Investigation of Spatial and Temporal Variation of Water Requirement of Ghazvin Desert, Using METRIC Algorithm and Landsat Images
Safar Marofi Dr 1, Roya Mousavi 2, Omid Nasiri-Gheidari 3
1- Professor, Department of Water Engineering Bu-Ali Sina University, Hamedan, Iran
2- Ph.D Student, Department of Water Engineering, Bu-Ali Sina University, Hamedan, Iran
3- Ph.D Student, Department of Water Engineering Bu-Ali Sina University, Hamedan, Iran
Abstract:   (255 Views)
The knowledge of spatial and temporal distribution of water requirement provides a relationship between land use, water allocation and consumption that can lead to an appropriate management of water resources. In the present study, based on mapping of spatial and temporal water requirement distribution and applicability of METRIC Algorithm was assessed for estimating daily evapotranspiration and seasonal water requirement, as well as crop coefficient in Qazvin highland desert. For this purpose, five high resolution (30m×30m) Landsat 7 ETM+ images were used during April to November 2000, as the agricultural activity period. The latent heat flux of evapotranspiration and instantaneous evapotranspiration were obtained based on the algorithm. The instantaneous evapotranspiration was extended to a daily scale and to the whole growing season through two extrapolation procedures. The accuracy of the maps was analyzed using lysimetric of alfalfa and maps of the produced crop coefficient were evaluated by using lysimetric of alfalfa and grass. Results indicated that relative error in crop coefficient estimation was between 0.053 and 0.138. Comparison of estimated and measured evapotranspiration demonstrated an appropriate consistency between results (r=0.92 and RMSE=0.60 mm/day). The amount of evapotranspiration at the pixel of the lysimeter location was estimated 1232 mm during the studied period. The findings revealed that METRIC algorithm can be applied as an effective, practical and affordable approach in accurate estimation of actual evapotranspiration at semi-arid and arid highlands area.
Keywords: Instantaneous evapotranspiration, Qazvin Desert, Landsat 7, METRIC, Regional Water Requirement.
Full-Text [PDF 1221 kb]   (136 Downloads)    
Type of Study: Research | Subject: Special
Received: 2017/09/2 | Accepted: 2017/09/2 | Published: 2017/09/2
References
1. 1.Akbari, M., Seif, Z., Zare Abyaneh, H. (2011), Estimation of evapotranspiration by remote sensing technique under different climate condition, Journal of water and soil, Vol. 25, No. 4, pp. 835-844. (in Persian).
2. 2.Aliasghar-zadeh, H., Sanaei Nejad, H. (2006). Estimation of evapotranspiration at Tang-kensht basin of Kermanshah using remote sensing data and GIS. National conference on irrigation and drainage networks management, Shahid Chamran University. (in Persian).
3. 3.Allen, R., Tasumi, M., Trezza, R. (2007a), Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)-Model. J. Irrig. Drain Eng., 133(4), pp. 380–394, DOI: 10.1061/(ASCE)0733-9437(2007)133:4(380).
4. 4.Allen, R., Tasumi, M., Morse, A., Trezza, R., Wright, J., Bastiaanssen, W., Kramber, W., Lorite, I., Robison, C. (2007b), Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)-Applications. J. Irrig. Drain Eng., 133(4), pp. 395–406.d
5. 5.Allen, R., Morse, A., Tasumi, M. (2003), Application of SEBAL for Western US water rights regulation and planning, ICID Workshop on Remote Sensing of ET for Large Regions. 17.
6. 6.Bastiaanssen, W., Pelgrum, H., Wang, J., Ma, Y., Moreno, J., Roerink, G., Van Der Wal, T. (1998), A remote sensing surface energy balance algorithm for land (SEBAL), II validation. Journal of Hydrology 212–213 (1998b), pp. 213–229.
7. 7.Bastiaanssen, W., Ahmad, M., Chemin, Y. (2002), Satellite surveillance of evaporative depletion across the Indus Basin. Water Resources Research 38 (12), pp. 91–99.
8. 8.Bastiaanssen, W. (2000), SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey, J. Hydrol., 229, pp. 87–100.
9. 9.Bastiaanssen, W., Bos, M. (1999), Irrigation performance indicators based on remotely sensed data A review of literature, Irrigation and Drainage Systems 13, pp. 291–311.
10. 10.Chandrapala, L., Wimalasuriya, M. (2003), Satellite measurements supplemented with meteorological data to operationally estimate actual evapotranspiration over Sri Lanka, Agri. Water Management.
11. 11.French, A. N., Hunsaker, D. J., Thorp, K. R. (2015), Remote sensing of evapotranspiration over cotton using the TSEB and METRIC energy balance models. Remote Sensing of Environment, 158, pp. 281–294.
12. 12.Hafeez, M., Andreini, M., Liebe, J., Friesen, J., Marx, A., van de Giesen, N. (2007), Hydrological parameterization ‌through‌ remote sensing in Volta Basin West Africa. Intl. J. River Basin Manage. 5(1)
13. 13.Jackson, R. (1984), Remote sensing of vegetation characteristics for farm management, SPIE, 475 81-96.
14. 14.Jensen, M., Burman, R., Allen, R. (1990), Evapotranspiration and Irrigation Water Requirements, ASCE Manuals and Reports on Engineering Practice. No. 70, New York, NY. pp. 332
15. 15.Li, F., Lyons, T. (2002), Remote estimation of regional evapotranspiration, Environmental Modelling and Software, 17, pp. 61-75.
16. 16.Ma, Y., Mneneti, M., Tsukamoto, O., Ishikawa, H., Wang, J., Gao, Q. (2004), Remote sensing parameterization of regional land surface heat fluxes over arid area in northwest China. Journal of Arid Environments, 57 (2), pp. 257–273.
17. 17.Numata, I., Khand, K., Kjaersgaard, J., Cochrane, M. A., Silva, S. S. (2017), Evaluation of Landsat-Based METRIC Modeling to Provide High-Spatial Resolution Evapotranspiration Estimates for Amazonian Forests. Remote Sens. 9(1), 46; DOI: 10.3390/rs9010046
18. 18.Singh, R., Irmak, A., Irmak, S., Martin, D. (2008), Application of SEBAL Model for Mapping Evapotranspiration and Estimating Surface Energy Fluxes in South-Central Nebraska, J. Irrig, Drain Eng., 134(3). 273–285. DOI:10.1061/(ASCE)0733-9437(2008)134:3(273)
19. 19.Sanaei Nejad, H., Noori, S., Hasheminia, M. (2011), Estimation of evapotranspiration using satellite image data in Mashhad area, Journal of water and soil. Vol. 25, No. 3, pp. 540-547. (in Persian).
20. 20.Tasumi, M., Trezza, R., Allen, R., Wright, J. (2003), Validation tests on the SEBAL model for evapotranspiration via satellite, Proceedings of 54th IEC Meeting of the International Commission on Irrigation and Drainage. ICID, France, 17 September 2003.
21. 21.Tasumi, M., Bastiaanssen, W., Allen, R. (2000), Application of the SEBAL methodology for estimating consumptive use of water and stream flow depletion in the River Basin of Idaho through Remote Sensing, Appendix C,A step-by-step guide to running SEBAL. EOSDIS Project Final Report. The Raytheon Systems Company and the University of Idaho.
22. 22.Yaghoubi-Feshaki, M. (2010), Application of SEBAL method for computing evapotranspiration using satellite images. M.Sc. thesis, Faculty of agriculture, Razi University. (in Persian).
23. 23.Trezza, R. (2006), Evapotranspiration from a remote sensing model for water management in an irrigation system in Venezuela. Association Interciencia Caracas, Venezuela, pp. 417-423.
Send email to the article author

Add your comments about this article
Your username or Email:

Write the security code in the box >



DOI: 10.18869/acadpub.geores.32.2.80


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Marofi S, Mousavi R, Nasiri-Gheidari O. Investigation of Spatial and Temporal Variation of Water Requirement of Ghazvin Desert, Using METRIC Algorithm and Landsat Images. geores. 2017; 32 (2) :80-92
URL: http://georesearch.ir/article-1-216-en.html
Volume 32, Issue 2 (9-2017) Back to browse issues page
فصلنامه تحقیقات جغرافیایی Geographical Researches Quarterly Journal
Persian site map - English site map - Created in 0.05 seconds with 819 queries by yektaweb 3535