Contribution of Remote Sensing on Crop Models: A Review

Kasampalis, DA, Alexandridis, TK, Deva, C et al. (3 more authors) (2018) Contribution of Remote Sensing on Crop Models: A Review. Journal of Imaging, 4 (4). 52. ISSN 2313-433X



Copyright, Publisher and Additional Information: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
Keywords: crop models; earth observation; fusion; yield production; crop yield; vegetarian indices; spatio-temporal scale
  • Published: 23 March 2018
  • Accepted: 20 March 2018
  • Published (online): 23 March 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds)
Funding Information:
FunderGrant number
EU - European Union774652
Depositing User: Symplectic Publications
Date Deposited: 13 Apr 2018 09:26
Last Modified: 16 Apr 2018 07:32
Status: Published
Publisher: MDPI
Identification Number:

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