Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 28, issue 21
Articles | Volume 28, issue 21
https://doi.org/10.5194/hess-28-4797-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-4797-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 21
Research article
 | 
30 Oct 2024
Research article |  | 30 Oct 2024

Assessment of upscaling methodologies for daily crop transpiration using sap flows and two-source energy balance models in almonds under different water statuses and production systems

Manuel Quintanilla-Albornoz, Xavier Miarnau, Ana Pelechá, Héctor Nieto, and Joaquim Bellvert

Viewed

Total article views: 1,955 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,312 368 275 1,955 82 94
  • HTML: 1,312
  • PDF: 368
  • XML: 275
  • Total: 1,955
  • BibTeX: 82
  • EndNote: 94
Views and downloads (calculated since 13 Mar 2024)
Cumulative views and downloads (calculated since 13 Mar 2024)

Viewed (geographical distribution)

Total article views: 1,955 (including HTML, PDF, and XML) Thereof 1,915 with geography defined and 40 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Nov 2025
Download
Short summary
Remote sensing can be a helpful tool for monitoring crop transpiration (T) for agricultural water management. Since remote sensing provides instantaneous data, upscaling techniques are required to estimate T on a daily scale. This study assesses optimal image acquisition times and four upscaling approaches to estimate daily T. The results indicate that the main errors derive from measurement time and water stress levels, which can be mitigated by choosing a proper upscaling approach.
Read more
Share