Long-term water stress and drought assessment of Mediterranean oak savanna vegetation using thermal remote sensing

González-Dugo, María P.; Chen, Xuelong; Andreu, Ana; Carpintero, Elisabet; Gómez-Giraldez, Pedro J.; Carrara, Arnaud; Su, Zhongbo

doi:https://doi.org/10.5194/hess-25-755-2021

Articles | Volume 25, issue 2

https://doi.org/10.5194/hess-25-755-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Data acquisition and modelling of hydrological, hydrogeological...

https://doi.org/10.5194/hess-25-755-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 2

Research article

|

18 Feb 2021

Research article |

| 18 Feb 2021

Long-term water stress and drought assessment of Mediterranean oak savanna vegetation using thermal remote sensing

María P. González-Dugo, Xuelong Chen, Ana Andreu, Elisabet Carpintero, Pedro J. Gómez-Giraldez, Arnaud Carrara, and Zhongbo Su

Supplement

https://doi.org/10.5194/hess-25-755-2021-supplement

Model code and software

SEBS_Spain X. Chen https://github.com/TSEBS/SEBS_Spain

Short summary

Drought is a devastating natural hazard and difficult to define, detect and quantify. Global meteorological data and remote-sensing products present new opportunities to characterize drought in an objective way. In this paper, we applied the surface energy balance model SEBS to estimate monthly evapotranspiration (ET) from 2001 to 2018 over the dehesa area of the Iberian Peninsula. ET anomalies were used to identify the main drought events and analyze their impacts on dehesa vegetation.