Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6235-2017
https://doi.org/10.5194/hess-21-6235-2017
Research article
 | 
08 Dec 2017
Research article |  | 08 Dec 2017

Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI

Guiomar Ruiz-Pérez, Julian Koch, Salvatore Manfreda, Kelly Caylor, and Félix Francés

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Latest update: 24 Dec 2024
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Short summary
Plants are shaping the landscape and controlling the hydrological cycle, particularly in arid and semi-arid ecosystems. Remote sensing data appears as an appealing source of information for vegetation monitoring, in particular in areas with a limited amount of available field data. Here, we present an example of how remote sensing data can be exploited in a data-scarce basin. We propose a mathematical methodology that can be used as a springboard for future applications.