METRIC based evapotranspiration mapping of pistachio orchard in the semi-arid region

Subject Areas : Vegetation

Mohammad Hossein  Mokhtari ¹ (Department of Remote Sensing, Yazd University, Yazd, Iran)
Ibrahim  Busu ² (Department of Remote Sensing, University Technology of Malaysia (UTM), Malaysia)
Sara  Parvizi ³ (Department of Watershed Management Engineering, Yazd University, Yazd, Iran)

Received: 2021-04-09 Accepted : 2021-05-29 Published : 2021-10-01

Keywords:

References:

Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. Fao, Rome, 300(9), D05109.

Allen, R. G., Tasumi, M., & Trezza, R. (2007). Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—Model. Journal of irrigation and drainage engineering, 133(4), 380-394. https://doi.org/10.1061/(ASCE)0733-9437(2007)133:4(395)

Allen, R. G., Tasumi, M., Morse, A., & Trezza, R. (2005). A Landsat-based energy balance and evapotranspiration model in Western US water rights regulation and planning. Irrigation and Drainage systems, 19(3-4), 251-268. https://doi.org/10.1007/s10795-005-5187-z

Allen, R. G., Tasumi, M., Morse, A., & Trezza, R. (2005). Satellite-based evapotranspiration by energy balance for western states water management. In Impacts of Global Climate Change (pp. 1-18). https://doi.org/10.1061/40792(173)556

Barreto, Á., Arbelo, M., Hernández-Leal, P. A., Núñez-Casillas, L., Mira, M., & Coll, C. (2010). Evaluation of surface temperature and emissivity derived from ASTER data: A case study using ground-based measurements at a volcanic site. Journal of Atmospheric and Oceanic Technology, 27(10), 1677-1688. https://doi.org/10.1175/2010JTECHA1447.1

Bastiaanssen, W. G. (2000). SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey. Journal of hydrology, 229(1-2), 87-100. https://doi.org/10.1016/S0022-1694(99)00202-4

Bastiaanssen, W. G., Menenti, M., Feddes, R. A., & Holtslag, A. A. M. (1998). A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation. Journal of hydrology, 212, 198-212. https://doi.org/10.1016/S0022-1694(98)00253-4

Bastiaanssen, W. G., Molden, D. J., & Makin, I. W. (2000). Remote sensing for irrigated agriculture: examples from research and possible applications. Agricultural water management, 46(2), 137-155. https://doi.org/10.1016/S0378-3774(00)00080-9

Brutsaert, W. (1982). Evaporation into the atmosphere: Theory. History, and Applications, 1. https://doi.org/10.1007/978-94-017-1497-6

Choi, M., Kustas, W. P., Anderson, M. C., Allen, R. G., Li, F., & Kjaersgaard, J. H. (2009). An intercomparison of three remote sensing-based surface energy balance algorithms over a corn and soybean production region (Iowa, US) during SMACEX. Agricultural and Forest Meteorology, 149(12), 2082-2097. https://doi.org/10.1016/j.agrformet.2009.07.002

Folhes, M. T., Rennó, C. D., & Soares, J. V. (2009). Remote sensing for irrigation water management in the semi-arid Northeast of Brazil. Agricultural Water Management, 96(10), 1398-1408. https://doi.org/10.1016/j.agwat.2009.04.021

Gao, Y., & Long, D. (2008). Intercomparison of remote sensing‐based models for estimation of evapotranspiration and accuracy assessment based on SWAT. Hydrological Processes: An International Journal, 22(25), 4850-4869. https://doi.org/10.1002/hyp.7104

Ghane Ezabadi, N., Azhdar, S., & Jamali, A. A. (2021). Analysis of dust changes using satellite images in Giovanni NASA and Sentinel in Google Earth Engine in western Iran. Journal of Nature and Spatial Sciences (JONASS), 1(1), 17-26.

Gowda, P. H., Chavez, J. L., Colaizzi, P. D., Evett, S. R., Howell, T. A., & Tolk, J. A. (2008). ET mapping for agricultural water management: present status and challenges. Irrigation science, 26(3), 223-237. https://doi.org/10.1007/s00271-007-0088-6

Gowda, P. H., Chavez, J. L., Colaizzi, P. D., Evett, S. R., Howell, T. A., & Tolk, J. A. (2007). Remote sensing based energy balance algorithms for mapping ET: Current status and future challenges. Transactions of the ASABE, 50(5), 1639-1644. https://doi.org/10.13031/2013.23964

Gowda, P. H., Chávez, J. L., Howell, T. A., Marek, T. H., & New, L. L. (2008). Surface energy balance based evapotranspiration mapping in the Texas high plains. Sensors, 8(8), 5186-5201. https://doi.org/10.3390/s8085186

Jain, S. K., Nayak, P. C., & Sudheer, K. P. (2008). Models for estimating evapotranspiration using artificial neural networks, and their physical interpretation. Hydrological Processes: An International Journal, 22(13), 2225-2234. https://doi.org/10.1002/hyp.6819

Jamali, A. A., & Ghorbani Kalkhajeh, R. (2020). Spatial Modeling Considering valley’s Shape and Rural Satisfaction in Check Dams Site Selection and Water Harvesting in the Watershed. Water Resources Management, 34(10), 3331-3344.

Jamali, A. A., Tabatabaee, R., & Randhir, T. O. (2021). Ecotourism and socioeconomic strategies for Khansar River watershed of Iran. Environment, Development and Sustainability, 1-17.

Liaqat, U. W., & Choi, M. (2015). Surface energy fluxes in the Northeast Asia ecosystem: SEBS and METRIC models using Landsat satellite images. Agricultural and Forest Meteorology, 214, 60-79. https://doi.org/10.1016/j.agrformet.2015.08.245

Mokhtari, M. H., Ahmad, B., Hoveidi, H., & Busu, I. (2013). Sensitivity analysis of METRIC–based evapotranspiration algorithm. https://doi.org/10.22059/IJER.2013.620

Muukkonen, P., & Heiskanen, J. (2005). Estimating biomass for boreal forests using ASTER satellite data combined with standwise forest inventory data. Remote sensing of Environment, 99(4), 434-447. https://doi.org/10.1016/j.rse.2005.09.011

Norman, J. M., Kustas, W. P., & Humes, K. S. (1995). Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature. Agricultural and Forest Meteorology, 77(3-4), 263-293. https://doi.org/10.1016/0168-1923(95)02265-Y

Pôças, I., Paço, T. A., Cunha, M., Andrade, J. A., Silvestre, J., Sousa, A., ... & Allen, R. G. (2014). Satellite-based evapotranspiration of a super-intensive olive orchard: Application of METRIC algorithms. Biosystems Engineering, 128, 69-81. https://doi.org/10.1016/j.biosystemseng.2014.06.019

Qanbari, V., & Jamali, A. A. (2015). The relationship between elevation, soil properties and vegetation cover in the Shorb-Ol-Ain watershed of Yazd. J Biodivers Environ Sci (JBES), 49-56.

Rahimian, M. H., Shayannejad, M., Eslamian, S., Gheysari, M., &  Jafari, R. ( 2017). SEBAL application to estimate water use efficiency of Pistachio trees in saline condition (Case study: Bahadoran Plain, Iran). Journal. Bio. Env. Sci. 10(6), 248-257. https://www.innspub.net.

Ramírez-Cuesta, J. M., Allen, R. G., Intrigliolo, D. S., Kilic, A., Robison, C. W., Trezza, R., ... & Lorite, I. J. (2020). METRIC-GIS: An advanced energy balance model for computing crop evapotranspiration in a GIS environment. Environmental Modelling & Software, 131, 104770. https://doi.org/10.1016/j.envsoft.2020.104770

Ramos, J. G., Cratchley, C. R., Kay, J. A., Casterad, M. A., Martínez-Cob, A., & Dominguez, R. (2009). Evaluation of satellite evapotranspiration estimates using ground-meteorological data available for the Flumen District into the Ebro Valley of NE Spain. Agricultural water management, 96(4), 638-652. https://doi.org/10.1016/j.agwat.2008.10.001

Reyes-González, A., Kjaersgaard, J., Trooien, T., Reta-Sánchez, D. G., Sánchez-Duarte, J. I., Preciado-Rangel, P., & Fortis-Hernández, M. (2019). Comparison of leaf area index, surface temperature, and actual evapotranspiration estimated using the METRIC model and in situ measurements. Sensors, 19(8), 1857. https://doi.org/10.3390/s19081857

Roerink, G. J., Su, Z., & Menenti, M. (2000). S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance. Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere, 25(2), 147-157. https://doi.org/10.1016/S1464-1909(99)00128-8

Su, Z. (2002). The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes. Hydrology and Earth System Sciences 6(1): 85-100.  https://doi.org/10.5194/hess-6-85-2002, 2002. https://doi.org/10.5194/hess-6-85-2002

Tasumi, M. (2019). Estimating evapotranspiration using METRIC model and Landsat data for better understandings of regional hydrology in the western Urmia Lake Basin. Agricultural Water Management, 226, 105805. https://doi.org/10.1016/j.agwat.2019.105805

Tasumi, M., Trezza, R., Allen, R. G., & Wright, J. L. (2005). Operational aspects of satellite-based energy balance models for irrigated crops in the semi-arid US. Irrigation and Drainage Systems, 19(3-4), 355-376. https://doi.org/10.1007/s10795-005-8138-9

Ye, X., Zhang, Q., Liu, J., Li, X., & Xu, C. Y. (2013). Distinguishing the relative impacts of climate change and human activities on variation of streamflow in the Poyang Lake catchment, China. Journal of Hydrology, 494, 83-95. https://doi.org/10.1016/j.jhydrol.2020.124883