Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Miscellanea Geographica

Regional Studies on Development

4 Issues per year

CiteScore 2016: 0.40

SCImago Journal Rank (SJR) 2016: 0.227
Source Normalized Impact per Paper (SNIP) 2016: 0.404

Covered by e.g. Web of Science Core Collection by Clarivate Analytics, and SCOPUS by Elsevier
14 points in the Ministerial journal value rating scale

Open Access
See all formats and pricing
More options …

Analysis of evapotranspiration in the catchment of the Nurzec River, Poland using MODIS data

Mateusz Ślązek
  • Corresponding author
  • Department of Hydrology Institute of Physical Geography Faculty of Geography and Regional Studies University of Warsaw
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2014-03-31 | DOI: https://doi.org/10.2478/mgrsd-2014-0008


The objective of this study is to analyse the spatial diversity and temporal variation of evapotranspiration in the catchment of the Nurzec River in the years 2001-2010. The study is based on MODIS images highlighting monthly accumulated values of evapotranspiration, Normalized Difference Vegetation Index (NDVI), and land use categories. Monthly evapotranspiration was calculated for the whole catchment as well as in different land use categories. The study focuses on assessing the relationship between the values of NDVI and evapotranspiration. The annual ET according to MODIS varied from 392 mm to 458 mm. Deciduous broadleaf forests have a higher ET than other land use categories. The analysis shows a strong correlation between monthly ET and NDVI.

Keywords: Evapotranspiration; NDVI; MODIS data; catchment of the Nurzec River


  • Calcagno, G, Mendicino, G, Monacelli, G, Senatore, A & Versace, P 2007, ‘Distributed estimation of actual evapotranspiration through remote sensing techniques’, Methods and Tools for Drought Analysis and Management, vol. 62, pp. 125-147.Google Scholar

  • Ha, W, Gowda, PH & Howell, TA 2013, ‘A review of downscaling methods for remote sensing-based irrigation management: part I, Irrigation science, vol. 31, no. 4, pp. 831-850.Web of ScienceGoogle Scholar

  • Haynes, JV & Senay, GB 2012, ‘Evaluation of the relation between evapotranspiration and normalized difference vegetation index for downscaling the simplified surface energy balance model, U.S. Geological Survey Scientific Investigations Report, vol. 8, pp. 2012-5197.Google Scholar

  • Jarvis, A, Reuter, HI, Nelson, A & Guevara, E 2008, Hole-filled seamless SRTM data V4, International Centre for Tropical Agriculture (CIAT). Available from: <http://srtm.csi.cgiar.org> [26 may 2012].Google Scholar

  • Jia, L, Xi, G, Liu, S, Huang, C, Yan, Y & Liu, G 2009, ‘Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland’, Hydrology and Earth System Sciences, vol. 13, pp. 1775-1787.Google Scholar

  • King, MD, Closs, J, Spangler, S, Greenstone, R, Wharton, S & Myers, M 2004, ‘EOS Data Products Handbook, Volume 1’, NASA Goddard Space Flight Center, Greenbelt, Maryland. Available from: <http://eospso.gsfc.nasa.gov/ftp_docs/data_ products_1.pdf> [10 April 2012].Google Scholar

  • MODIS Web, About MODIS, n.d. Available from: <http://modis.gsfc.nasa.gov/about/> [15 October 2013].Google Scholar

  • Mu, Q, Heinsch, FA, Zhao, M, & Running, SW 2007, ‘Development of a global evapotranspiration algorithm based on MODIS and global meteorology data’, Remote Sensing of Environment, vol. 111, pp. 519-536.Web of ScienceGoogle Scholar

  • Mu, Q, Jones, LA, Kimball, JS, McDonald, KC & Running, SW 2009, ‘Satellite assessment of land surface evapotranspiration for the pan-Arctic domain’, Water Resources Research, vol. 45. Available from: <http://onlinelibrary.wiley.com/ doi/10.1029/2008WR007189/full>.Web of ScienceCrossrefGoogle Scholar

  • Mu, Q, Zhao, M & Running, SW 2011, ‘Improvements to a MODIS global terrestrial evapotranspiration algorithm’, Remote Sensing of Environment, vol. 115, pp. 1781-1800.Web of ScienceGoogle Scholar

  • Somorowska, U 2011, ‘Variable Patterns of evapotranspiration in a protected wetland catchment derived from MODIS data’ in Ecohydrological methods in water management, eds JM Sawicki & W Szpakowski, Wydawnictwo Politechniki Gdańskiej, Gdańsk, pp. 120-130.Google Scholar

  • Szilagyi, J, Rundquist, DC, Gosselin, DC & Parlange, MB 1998, ‘NDVI relationship to monthly evaporation’, Geophysical Research Letters, vol. 25, pp. 1753-1756.Google Scholar

  • Szilagyi, J 2002, ‘Vegetation Indices to Aid Areal Evapotranspiration Estimations’, Journal of Hydrologic Engineering, vol. 7, pp. 368-372.Google Scholar

  • Velpuri, NM, Senay, GB, Singh, RK, Bohms, S & Verdin, JP 2013, ‘A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: Using point and gridded FLUXNET and water balance ET’, Remote Sensing of Environment, vol. 139, 35-49.Web of ScienceGoogle Scholar

About the article

Published Online: 2014-03-31

Published in Print: 2014-03-01

Citation Information: Miscellanea Geographica - Regional Studies on Development, Volume 18, Issue 1, Pages 44–51, ISSN (Online) 2084-6118, DOI: https://doi.org/10.2478/mgrsd-2014-0008.

Export Citation

© 2014 by Mateusz Ślązek. This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. BY-NC-ND 3.0

Comments (0)

Please log in or register to comment.
Log in