Estimation of actual evapotranspiration by using MODIS images (a case study: Tajan catchment)

Evapotranspiration (ET) is one of the most effective variables to determine water balance in a region. Accurate estimation of ET flux is vital for agricultural scheduling and water resource management. One of the ways for estimation of ET is applying energy budget methods in which parameters are determined by using remote-sensing technique. The surface energy balance algorithm for land (SEBAL) is one of the most important algorithms for estimation of ET using satellite images. This model estimates ET via estimation of all energy components in the surface such as net radiation flux, soil heat flux and sensible heat flux. This paper aims to investigate accuracy of actual ET estimation using SEBAL algorithm in comparison with calculated values by Food and Agriculture Organization (FAO) Penman–Monteith in Tajan catchment and area of Sari Dasht Naz Agricultural Corporation, Iran. In this investigation, seven images of moderate resolution imaging spectroradiometer (MODIS) were used from February to July 2011. The obtained results show that there is not a significant difference between SEBAL and FAO Penman–Monteith methods for estimation of hourly and daily ET (P-value > 0.05). In addition, hourly and daily ET can be estimated with acceptable accuracy, RMSE = 0.091 mm and RMSE = 1.49 mm, respectively.

[1]  Mohammad Valipour,et al.  Temperature analysis of reference evapotranspiration models , 2015 .

[2]  Mohammad Valipour,et al.  Study of different climatic conditions to assess the role of solar radiation in reference crop evapotranspiration equations , 2015 .

[3]  Mohammad Valipour,et al.  Retracted: Comparative Evaluation of Radiation-Based Methods for Estimation of Potential Evapotranspiration , 2015 .

[4]  M. Valipour.  Importance of solar radiation, temperature, relative humidity, and wind speed for calculation of reference evapotranspiration , 2015 .

[5]  Mohammad Valipour,et al.  Analysis of potential evapotranspiration using limited weather data , 2017, Applied Water Science.

[6]  Mohammad Valipour,et al.  Investigation of Valiantzas’ evapotranspiration equation in Iran , 2015, Theoretical and Applied Climatology.

[7]  Bingfang Wu,et al.  Regional-scale estimation of evapotranspiration for the North China Plain using MODIS data and the triangle-approach , 2014, Int. J. Appl. Earth Obs. Geoinformation.

[8]  Mohammad Valipour,et al.  Use of average data of 181 synoptic stations for estimation of reference crop evapotranspiration by temperature-based methods , 2014, Water Resources Management.

[9]  Bagher Shirmohammadi,et al.  Fractional snow cover mapping from MODIS data using wavelet-artificial intelligence hybrid models , 2014 .

[10]  Mohammad Reza Keshavarz,et al.  Drought monitoring using a Soil Wetness Deficit Index (SWDI) derived from MODIS satellite data , 2014 .

[11]  Mohammad Valipour,et al.  Application of new mass transfer formulae for computation of evapotranspiration , 2014 .

[12]  S. K. Alavipanah,et al.  Applying artificial neural networks to estimate suspended sediment concentrations along the southern coast of the Caspian Sea using MODIS images , 2015, Arabian Journal of Geosciences.

[13]  M. Momeni,et al.  Estimation and validation of atmospheric water vapor content using a MODIS NIR band ratio technique based on AIRS water vapor products , 2014, Arabian Journal of Geosciences.

[14]  Alireza Ildoromi,et al.  Integration of the MODIS Snow Cover Produced Into Snowmelt Runoff Modeling , 2014, Journal of the Indian Society of Remote Sensing.

[15]  John S. Kimball,et al.  Monitoring daily evapotranspiration in Northeast Asia using MODIS and a regional Land Data Assimilation System , 2013 .

[16]  P. van der Zaag,et al.  Mapping evapotranspiration trends using MODIS and SEBAL model in a data scarce and heterogeneous landscape in Eastern Africa , 2013 .

[17]  L. Ren,et al.  Estimation of Daily Actual Evapotranspiration from ETM+ and MODIS Data of the Headwaters of the West Liaohe Basin in the Semiarid Regions of China , 2013 .

[18]  Ronglin Tang,et al.  Temporal upscaling of instantaneous evapotranspiration: An intercomparison of four methods using eddy covariance measurements and MODIS data , 2013 .

[19]  P. Gowda,et al.  Lysimetric evaluation of SEBAL using high resolution airborne imagery from BEAREX08 , 2013 .

[20]  Yujiu Xiong,et al.  Estimation of evapotranspiration and its partition based on an extended three-temperature model and MODIS products , 2013 .

[21]  Bunkei Matsushita,et al.  Further evaluation of the Sim-ReSET model for ET estimation driven by only satellite inputs , 2013 .

[22]  Zongming Wang,et al.  Evapotranspiration estimation based on MODIS products and surface energy balance algorithms for land (SEBAL) model in Sanjiang Plain, Northeast China , 2013, Chinese Geographical Science.

[23]  P. Souza,et al.  Estimate of evapotranspiration in the eastern Amazon using SEBAL. , 2013 .

[24]  Dara Entekhabi,et al.  Estimates of evapotranspiration from MODIS and AMSR-E land surface temperature and moisture over the Southern Great Plains , 2012 .

[25]  S. Shang,et al.  Remote sensing temporal and spatial patterns of evapotranspiration and the responses to water management in a large irrigation district of North China , 2012 .

[26]  Jonas Ardö,et al.  Estimation of daily evapotranspiration over Africa using MODIS/Terra and SEVIRI/MSG data , 2012 .

[27]  Antonino Maltese,et al.  Daily evapotranspiration assessment by means of residual surface energy balance modeling: A critical analysis under a wide range of water availability , 2012 .

[28]  Jun Wen,et al.  Effect of pixel scale on evapotranspiration estimation by remote sensing over oasis areas in north-western China , 2012, Environmental Earth Sciences.

[29]  Mohammad Valipour.  HYDRO-MODULE DETERMINATION FOR VANAEI VILLAGE IN ESLAM ABAD GHARB, IRAN , 2012 .

[30]  Mohammad Valipour.  Number of Required Observation Data for Rainfall Forecasting According to the Climate Conditions , 2012 .

[31]  Mohammad Valipour.  Ability of Box-Jenkins Models to Estimate of Reference Potential Evapotranspiration (A Case Study: Mehrabad Synoptic Station, Tehran, Iran) , 2012 .

[32]  Mehdi Hosseini,et al.  Multi-index-based soil moisture estimation using MODIS images , 2011 .

[33]  Zheng Liu,et al.  Evapotranspiration estimation based on the SEBAL model in the Nansi Lake Wetland of China , 2011, Math. Comput. Model..

[34]  Mohammad Firuz Ramli,et al.  Accuracy assessment of moderate resolution image spectroradiometer products for dust storms in semiarid environment , 2011 .

[35]  An Introduction to MODISI and SCMOD Methods for Correction of the MODIS Snow Assessment Algorithm , 2010 .

[36]  Wim G.M. Bastiaanssen,et al.  Reviewing SEBAL input parameters for assessing evapotranspiration and water productivity for the Low-Middle São Francisco River basin, Brazil: Part B: Application to the regional scale , 2009 .

[37]  Wim G.M. Bastiaanssen,et al.  Reviewing SEBAL input parameters for assessing evapotranspiration and water productivity for the Low - Middle Sao Francisco River basin, Brazil : part A : calibration and validation , 2009 .

[38]  J. A. Tolk,et al.  ET mapping for agricultural water management: present status and challenges , 2008, Irrigation Science.

[39]  M. Reza,et al.  EVAPO- TRANSPIRATION ASSESSMENT USING TERRA/MODIS IMAGES IN THE GORGAN GENERAL DISTRICT , 2007 .

[40]  Gautam Bisht,et al.  Estimation and comparison of evapotranspiration from MODIS and AVHRR sensors for clear sky days over the Southern Great Plains , 2006 .

[41]  Pamela L. Nagler,et al.  Evapotranspiration on western U.S. rivers estimated using the Enhanced Vegetation Index from MODIS and data from eddy covariance and Bowen ratio flux towers , 2005 .

[42]  S. Liang.  Narrowband to broadband conversions of land surface albedo I Algorithms , 2001 .

[43]  W. Bastiaanssen,et al.  A remote sensing surface energy balance algorithm for land (SEBAL). , 1998 .

[44]  A. Holtslag,et al.  A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation , 1998 .

[45]  V. Caselles,et al.  A split‐window algorithm for land surface temperature from advanced very high resolution radiometer data: Validation and algorithm comparison , 1997 .

[46]  William P. Kustas,et al.  Use of remote sensing for evapotranspiration monitoring over land surfaces , 1996 .

[47]  M. Menenti,et al.  Estimation of surface resistance and Priestley & Taylor alpha-parameter at different scales. , 1996 .