Articles | Volume 24, issue 7
https://doi.org/10.5194/hess-24-3643-2020
https://doi.org/10.5194/hess-24-3643-2020
Research article
 | 
22 Jul 2020
Research article |  | 22 Jul 2020

Temporal interpolation of land surface fluxes derived from remote sensing – results with an unmanned aerial system

Sheng Wang, Monica Garcia, Andreas Ibrom, and Peter Bauer-Gottwein

Viewed

Total article views: 3,627 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,458 1,105 64 3,627 276 77 71
  • HTML: 2,458
  • PDF: 1,105
  • XML: 64
  • Total: 3,627
  • Supplement: 276
  • BibTeX: 77
  • EndNote: 71
Views and downloads (calculated since 14 Oct 2019)
Cumulative views and downloads (calculated since 14 Oct 2019)

Viewed (geographical distribution)

Total article views: 3,627 (including HTML, PDF, and XML) Thereof 3,137 with geography defined and 490 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Jan 2025
Download
Short summary
Remote sensing only provides snapshots of rapidly changing land surface variables; this limits its application for water resources and ecosystem management. To obtain continuous estimates of surface temperature, soil moisture, evapotranspiration, and ecosystem productivity, a simple and operational modelling scheme is presented. We demonstrate it with temporally sparse optical and thermal remote sensing data from an unmanned aerial system at a Danish bioenergy plantation eddy covariance site.