Articles | Volume 14, issue 5
Geosci. Model Dev., 14, 2603–2633, 2021
https://doi.org/10.5194/gmd-14-2603-2021
Geosci. Model Dev., 14, 2603–2633, 2021
https://doi.org/10.5194/gmd-14-2603-2021
Methods for assessment of models
12 May 2021
Methods for assessment of models | 12 May 2021

Cutting out the middleman: calibrating and validating a dynamic vegetation model (ED2-PROSPECT5) using remotely sensed surface reflectance

Alexey N. Shiklomanov et al.

Viewed

Total article views: 2,219 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,609 582 28 2,219 20 26
  • HTML: 1,609
  • PDF: 582
  • XML: 28
  • Total: 2,219
  • BibTeX: 20
  • EndNote: 26
Views and downloads (calculated since 12 Oct 2020)
Cumulative views and downloads (calculated since 12 Oct 2020)

Viewed (geographical distribution)

Total article views: 2,005 (including HTML, PDF, and XML) Thereof 2,004 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Sep 2022
Download
Short summary
Airborne and satellite images are a great resource for calibrating and evaluating computer models of ecosystems. Typically, researchers derive ecosystem properties from these images and then compare models against these derived properties. Here, we present an alternative approach where we modify a model to predict what the satellite would see more directly. We then show how this approach can be used to calibrate model parameters using airborne data from forest sites in the northeastern US.