TSEB implementation for the manuscript 'Evaluating the precise grapevine water stress detection using unmanned aerial vehicles and evapotranspiration-based metrics'

This dataset was used to run the remote sensing-based two-source energy balance (TSEB) model to estimate evapotranspiration and related crop stress indicators using high-resolution imagery from unmanned aerial vehicles (UAVs) over a a vineyard experimental site in Madrid, Spain ('El Socorro', Belmonte de Tajo, Madrid, Spain). The dataset includes an example script to run the python implementation of TSEB (pyTSEB, https://github.com/hectornieto/pyTSEB) forced with UAV imagery and meteorological data acquired over the study site. The model outputs are also provided for the different TSEB version (TSEB-PT and TSEB-2T). These results are associated with the manuscript titled 'Evaluating the precise grapevine water stress detection using unmanned aerial vehicles and evapotranspiration-based metrics' published in Irrigation Science.

Bibliographic Details

Main Authors:	Burchard-Levine, Vicente, Borra-Serrano, Irene, Peña Barragán, José Manuel, Kustas, William P., Guerra, José G., Dorado, José, Mesías-Ruiz, Gustavo A., Herrezuelo, Miguel, Mary, Benjamin, McKee, Lynn M., Castro, Ana Isabel de, Sanchez-Élez, Sara, Nieto, Héctor
Other Authors:	Ministerio de Ciencia e Innovación (España)
Format:	dataset biblioteca
Language:	English
Published:	DIGITAL.CSIC 2024-04-24
Subjects:	UAV, Water stress, TSEB, evapotranspiration, energy balance, unmanned aerial vehicles, remote sensing, vineyards, irrigation,
Online Access:	http://hdl.handle.net/10261/354889 https://doi.org/10.20350/digitalCSIC/16235 http://dx.doi.org/10.13039/501100004837 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100000780
Tags:	Add Tag No Tags, Be the first to tag this record!