Skip to main content

Advertisement

SpringerLink
Log in

Potential use of remote sensing techniques in evapotranspiration estimations at watershed level

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

In hydrology, evapotranspiration (ET) is defined as phase conversion and rise of water in soils, plants, rivers, lakes, and seas under the atmospheric conditions. Investigation of water displacement through either ET or precipitations, runoffs and infiltrations may provide significant contributions for water resources management practices. In this study, daily, monthly, and seasonal ET maps were generated for Minöz Stream Watershed of Kavak town of Samsun province with the aid of energy balance-based METRIC model for the water-year of 2007. Resultant ET maps were assessed through vegetation covers, land use patterns, actual precipitations, and runoff parameters. In a previous study carried out over the same watershed, amount of water to be converted into ET was calculated as 517.0 mm for water-year of 2007. In present study, total ET for the relevant period of the same watershed was estimated as 610.0 mm. Estimated ET value was slightly greater than the total quantity of water to be converted into ET. Present ET maps were also well complied with the land use patterns.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Allen, R.G., Pereıra, L.S., Raes, D., & Smith, M. (1998). Crop evapotranspiration, FAO Irrigation and Drainage Paper. No. 56.

  • Allen, R., Waters, R., Tasumi, M., Trezza, R., & Bastiaanssen, W. (2002). SEBAL, surface energy balance algorithms for land, Idaho Implementation. Advanced Training and User’s manual, version 1.0.

  • 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.

    Article  Google Scholar 

  • 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 ASCE, 133(4), 380–394.

    Article  Google Scholar 

  • Anderson, M. C., Allen, R. G., Morse, A., & Kustas, W. P. (2012). Use of LANDSAT thermal imagery in monitoring evapotranspiration and managing water resources. Remote Sensing of Environment, 122, 50–65.

    Article  Google Scholar 

  • Anonymous (2018). https://landsat.usgs.gov/landsat-5-history.

  • Apan, M. (2009). Hidroloji Ders Kitabı. Ondokuz Mayıs Üni. Ziraat Fakültesi, No: 52.

  • ASCE-EWRI (2005). The ASCE Standardized Reference Evapotranspiration Equation. Technical Committee report to the Environmental and Water Resources Institute of the American Society of Civil Engineers from the Task Committee on Standardization of Reference Evapotranspiration. ASCE-EWRI, 1801 Alexander Bell Drive, Reston, VA 20191–4400.

  • Ayenew, T. (2003). Evapotranspiration estimation using thematic mapper spectral satellite data in the Ethiopian rift and adjacent highlands. Journal of Hydrology, 279, 83–93.

    Article  Google Scholar 

  • 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. Agricultural University of Wageningen. Phd Thesis.

  • Bastiaanssen, W. G. M. (2000). SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey. Journal of Hydrology, 229, 87–100.

    Article  Google Scholar 

  • Bastiaanssen, W. G. M., & Bandara, K. M. P. S. (2001). Evaporative depletion assessments for irrigated watersheds in Sri Lanka. Irrigation Science, 21, 1–15.

    Google Scholar 

  • Bastiaanssen, W. G. M., & Bos, M. G. (1999). Irrigation performance indicators based on remotely sensed data: a review of literature. Irrigation and Drainage Systems, 13, 291–311.

    Article  Google Scholar 

  • Bastiaanssen, W. G. M., Menenti, Feddes, R. A., & Holtslag, A. A. M. (1998a). The surface energy balance algorithm for land (SEBAL). Part 1 formulation. Journal of Hydrology, 213, 198–298.

    Article  Google Scholar 

  • Bastiaanssen, W. G. M., Pelgrum, H., Wang, J., Ma, Y., Moreno, J. F., Roerink, G. J., & van der Wal, T. (1998b). A remote sensing surface energy balance algorithm for land (SEBAL) 1.Formulation. Journal of Hydrology, 212-213, 213–229.

    Article  Google Scholar 

  • Beven, K., & Smith, P. (2014). Concepts of information content and likelihood in parameter calibration for hydrological simulation models. Journal of Hydrologic Engineering, 20, A4014010.

    Article  Google Scholar 

  • Caldwell, P. V., Sun, G., McNulty, S. G., Cohen, E. C., & Moore Myers, J. A. (2012). Impacts of impervious cover, water withdrawals, and climate change on river flows in the conterminous US. Hydrology and Earth System Sciences, 16, 2839–2857.

    Article  Google Scholar 

  • Çetin, S. (2013). Using remote sensing techniques estimation of evapotranspiration at watershed level. Ondokuz Mayıs University, Graduate School of Scıences. Master thesis.

  • Chen, H., Xu, C. Y., & Guo, S. (2012). Comparison and evaluation of multiple GCMs, statistical downscaling and hydrological models in the study of climate change impacts on runoff. Journal of Hydrology, 434, 36–45.

    Article  Google Scholar 

  • Chen, S., Hong, Y., Cao, Q., Gourley, J. J., Kirstetter, P. E., Yong, B., Tian, Y., Zhang, Z., Shen, Y., Hu, J., & Hardy, J. (2013). Similarity and difference of the two successive V6 and V7 TRMM multisatellite precipitation analysis performance over China. Journal of Geophysical Research-Atmospheres, 118(23), 13060–13074.

    Article  Google Scholar 

  • Crow, W. T., & Kustas, W. P. (2005). Utility of assimilating surface radiometric temperature observations for evaporative fraction and heat transfer coefficient retrieval. Boundary-Layer Meteorology, 115, 105–130.

    Article  Google Scholar 

  • Droogers, P., Immerzeel, W. W., & Lorite, I. J. (2010). Estimating actual irrigation application by remotely sensed evapotranspiration observations. Agricultural Water Management, 97, 1351–1359.

    Article  Google Scholar 

  • Erel, A. (2010). Samsun-Minöz Deresi Havzası Yağış ve İklim Karakteristikleri (Ara Rapor 1994-2008). Tarım ve Köyişleri Bakanlığı Tarımsal Araştırmalar Genel Müdürlüğü, 176, 55100.

    Google Scholar 

  • Fang, Y., Sun, G., Caldwell, P., McNulty, S. G., Noormets, A., Domec, J. C., King, J., Zhang, Z., Zhang, X., Lin, G., Zhou, G., Xiao, J., & Chen, J. (2015). Monthly land cover-specific evapotranspiration models derived from global eddy flux measurements and remote sensing data. USDA Forest Service / UNL Faculty publications. 286. Ecohydrology, 9(2, 248–266.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • French, A. N., Hunsaker, D. J., & Thorp, K. R. (2015). Remote sensing of evapotranspiration over cotton using the TSEB and METRIC energy balance models. RSEnv, 158, 281–294.

    Google Scholar 

  • Genanu, M., Alamirew, T., Senay, G., & Gebremichael, M. (2017). Remote sensing based estimation of Evapo-transpiration using selected algorithms: the case of Wonji Shoa sugar cane estate, Ethiopia. International Journal of Sensors and Sensor Networks, 5(1), 1–13.

    Article  Google Scholar 

  • Giri, S., Nejadhashemi, A. P., & Woznicki, S. A. (2016). Regulators’ and stakeholders’ perspectives in a framework for bioenergy development. Land Use Policy, 59, 143–153.

    Article  Google Scholar 

  • Gowda, P.H., Chavez, J.L., Colaizzi, P.D., Evett, S.R., Howell, T.A. & Tolk J.A. (2007). Remote Sensıng based energy balance algorithms for mapping ET: current status and future challenges. American Society of Agricultural and Biological Engineers, ISSN 0001-2351.

  • Gowda, P. H., Chávez, 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 J., 26(3), 223–237.

    Article  Google Scholar 

  • Hailu, D., Hess, M. & Ayenew, T. (1996). The problem of high-rise groundwater in Amibara irrigation project, Middle Awash Basin. Ethiopian science and technology commission, unpublished report, Addis Ababa, Ethiopia.

  • Herman, M. R., Nejadhashemi, A. P., Daneshvar, F., Ross, D. M., Woznicki, S. A., Zhang, Z., & Esfahanian, A.-H. (2015). Optimization of conservation practice implementation strategies in the context of stream health. Ecological Engineering, 84, 1–12.

    Article  Google Scholar 

  • Herman, M. R., Nejadhashemi, A. P., Abouali, M., Hernandez-Suarez, J. S., Daneshvar, F., Zhang, Z., Anderson, M. C., Sadeghi, A. M., Hain, C. R., & Sharifi, A. (2018). Evaluating the role of evapotranspiration remote sensing data in improving hydrological modeling predictability. Journal of Hydrology, 556, 39–49.

    Article  Google Scholar 

  • Hoedjes, C. B., Chehbouni, A., Jacob, F., Ezzahar, J., & Boulet, G. (2008). Deriving daily evapotranspiration from remotely sensed instantaneous evaporative fraction over olive orchard in semi-arid Morocco. Journal of Hydrology, 354, 53–64.

    Article  Google Scholar 

  • Jana, C., Rawat, M., Sena, D. R., Alam, N. M., Mandal, U., Kaushal, R., & Mishra, P. K. (2016). Application of SEBAL model to estimate evapotranspiration in Doon Valley, India. Indian Journal of Soil Conservation, 44(2), 191–197.

    Google Scholar 

  • Li, Z., Yang, D. W., & Hong, Y. (2013). Multi-scale evaluation of high-resolution multi-sensor blended global precipitation products over the Yangtze River. Journal of Hydrology, 500, 157–169.

    Article  Google Scholar 

  • Losgedaragh, S. Z., & Rahimzadegan, M. (2018). Evaluation of SEBS, SEBAL, and METRIC models in estimation of the evaporation from the freshwater lakes (case study: Amirkabir dam, Iran). Journal of Hydrology, 561, 523–531.

    Article  Google Scholar 

  • Morton, C. G., Huntington, J. L., Pohll, G. M., Allen, R. G., McGwire, K. C., & Bassett, S. D. (2013). Assessing calibration uncertainty and automation for estimating evapotranspiration from agricultural areas using METRIC. JAWRA Journal of the American Water Resources Association, 49(3), 549–562.

    Article  Google Scholar 

  • National Water Commission. (2009). Assessment of Evaporation Losses from the Menindee Lakes using SEBAL Remote Sensing Technology. water watch.

  • Norman, J. M., Anderson, M. C., Kustas, W. P., French, A. N., Mecikalski, J., Torn, R., Diak, G. R., Schmugge, T. J., & Tanner, B. C. W. (2003). Remote sensing of surface energy fluxes at 101-m pixel resolutions. Water Resources Research, 39(8), 1221.

    Article  Google Scholar 

  • Oishi, A. C., Oren, R. P., & Stoy, C. (2008). Estimating components of forest evapotranspiration: a footprint approach for scaling sap flux measurements. Agricultural and Forest Meteorology, 148, 1719–1732.

    Article  Google Scholar 

  • Sabbaghian, R. J., Zarghami, M., Nejadhashemi, A. P., Sharifi, M. B., Herman, M. R., & Daneshvar, F. (2016). Application of risk-based multiple criteria decision analysis for selection of the best agricultural scenario for effective watershed management. Journal of Environmental Management, 168, 260–272.

    Article  Google Scholar 

  • Samuel, A., Girma, A., Zenebe, A. & Ghebreyohannes, T. (2018). Spatio-temporal variability of evapotranspiration and crop water requirement from space. Journal of Hydrology, (Article in press). https://doi.org/10.1016/j.jhydrol.2018.01.058.

  • Sanchez, J. M., Scavone, G., Caselles, V., Valor, E., Copertino, V. A., & Telesca, V. (2008). Monitoring daily evapotranspiration at a regional scale from LANDSAT-TM and ETM+ data: application to the Basilicata region. Journal of Hydrology, 351, 58–70.

    Article  Google Scholar 

  • Sima, S., Ahmadalipour, A., & Tajrishy, M. (2013). Mapping surface temperature in a hypersaline lake and investigating the effect of temperature distribution on the lake evaporation. RSEnv, 136, 374–385.

    Google Scholar 

  • Sun, G., Noormets, A., Chen, J., & McNulty, S. G. (2008). Evapotranspiration estimates from eddy covariance towers and hydrologic modeling in managed forests in Northern Wisconsin, USA. Agricultural and Forest Meteorology, 148(2), 257–267.

    Article  Google Scholar 

  • Sun, Z., Qinxue, W., Matsushita, B., Fukushima, T., Ouyang, Z., & Watanabe, M. (2009). Development of a simple remote sensing evapotranspiration model (Sim-ReSET): algorithm and model test. Journal of Hydrology, 376, 476–485.

    Article  Google Scholar 

  • Taghvaeian, S., & Neale, C. M. U. (2011). Water balance of İrrigated areas: a remote sensing approach. Hydrological Processes, 25, 4132–4141.

    Article  Google Scholar 

  • Thompson, J. R., Green, A. J., & Kingston, D. G. (2014). Potential evapotranspiration-related uncertainty in climate change impacts on river flow: an assessment for the Mekong River basin. Journal of Hydrology, 510, 259–279.

    Article  Google Scholar 

  • Trezza, R. (2006). Estimation of evapotranspiration from satellite-based surface energy balance models for water management in the Rio Guarico Irrigation System. Venezuela, Earth Observation for Vegetation Monitoring and Water Management, (AIP Conference Proceedings).

  • Trezza, R., Allen, R. G., & Tasumi, M. (2013). Estimation of actual evapotranspiration along the Middle Rio Grande of New Mexico using MODIS and landsat imagery with the METRIC model. Remote Sensing, 5(10), 5397–5423.

    Article  Google Scholar 

  • Ward, A.D. & Elliot, W.J. (1995). Environmental Hydrology. Boca Raton, New York. 19757.

  • Wilson, K. B., Hanson, P. J., Mulholland, P. J., Baldocchi, D. D., & Wullschleger, S. D. (2001). A comparison of methods for determining forest evapotranspiration and its components: sap-flow, soil water budget, eddy covariance and catchment water balance. Agricultural and Forest Meteorology, 106, 153–168.

    Article  Google Scholar 

  • Yang, J., Mei, X., Huo, Z., Yan, C., Ju, H., Zhao, F., & Liu, Q. (2015). Water consumption in summer maize and winter wheat cropping system based on SEBAL model in Huang-Huai-Hai Plain, China. Journal of Integrative Agriculture, 14(10), 2065–2076.

    Article  Google Scholar 

Download references

Funding

This study was supported by the Scientific Research Projects Department of Ondokuz Mayıs University (with a project number of PYO.ZRT 1904.12.004).

Author information

Authors and Affiliations

  1. Faculty of Agriculture, Department of Agricultural Structures and Irrigation, Ondokuz Mayıs University, Samsun, Turkey

    Sakine Çetin & Eyüp Selim Köksal

Authors
  1. Sakine Çetin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Eyüp Selim Köksal
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sakine Çetin.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Çetin, S., Köksal, E.S. Potential use of remote sensing techniques in evapotranspiration estimations at watershed level. Environ Monit Assess 190, 601 (2018). https://doi.org/10.1007/s10661-018-6955-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-018-6955-1

Keywords

Search

Navigation