Integration of satellite remote sensing data in ecosystem modelling at local scales: Practices and trends

Pasetto, D, Arenas-Castro, S, Bustamante, J et al. (17 more authors) (2018) Integration of satellite remote sensing data in ecosystem modelling at local scales: Practices and trends. Methods in Ecology and Evolution, 9 (8). pp. 1810-1821. ISSN 2041-210X

Abstract

Metadata

Authors/Creators:
  • Pasetto, D
  • Arenas-Castro, S
  • Bustamante, J
  • Casagrandi, R
  • Chrysoulakis, N
  • Cord, AF
  • Dittrich, A
  • Domingo-Marimon, C
  • El Serafy, G
  • Karnieli, A
  • Kordelas, GA
  • Manakos, I
  • Mari, L
  • Monteiro, A
  • Palazzi, E
  • Poursanidis, D
  • Rinaldo, A
  • Terzago, S
  • Ziemba, A
  • Ziv, G https://orcid.org/0000-0002-6776-0763
Copyright, Publisher and Additional Information: © 2018 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: data assimilation; ecohydrological models; satellite remote sensing; stochastic downscaling
Dates:
  • Published: 6 August 2018
  • Accepted: 31 March 2018
  • Published (online): 6 August 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Ecology & Global Change (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 10 Apr 2019 11:00
Last Modified: 11 Jun 2019 14:47
Status: Published
Publisher: Wiley
Identification Number: https://doi.org/10.1111/2041-210X.13018
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