Dataset.
TSEB implementation for the manuscript 'Evaluating the precise grapevine water stress detection using unmanned aerial vehicles and evapotranspiration-based metrics'
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/354889
Digital.CSIC. Repositorio Institucional del CSIC
- 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
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., The experiment was undertaken under the Digital Agriculture Technologies for Irrigation efficiency (DATI) project (2020-2024) funded by the Spanish Ministry of Science and Innovation (AEI/10.13039/501100011033) and the PRIMA EU program. It additionally received support from the EO4WUE research project (TED2021-129814B-I00) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. We also would like to thank Dr. Bill Kustas and USDA for helping with research infrastructure and scientific support., All the inputs and outputs of the two-source energy balance (TSEB) model are in the 'inputs' and 'outputs folder. Another readme file explicitely describes this data. Also described below: ## inputs ### meteo A csv file with meterological and EC measurements during UAV overpass time. ### UAV UAV imagery are stored in seperate folders for each date (in YYYYMMDD). Each input is available over the study site at 2m spatial resolution. ## outputs The model outputs are available for both TSEB-PT and TSEB-2T versions using pyTSEB (https://github.com/hectornieto/pyTSEB). In each folder, both Main ('Main') and ancillary ('Anc') output data is made available., Peer reviewed
Proyecto:
AEI//TED2021-129814B-I00
DOI: http://hdl.handle.net/10261/354889, https://doi.org/10.20350/digitalCSIC/16235
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/354889
HANDLE: http://hdl.handle.net/10261/354889, https://doi.org/10.20350/digitalCSIC/16235
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/354889
Ver en: http://hdl.handle.net/10261/354889, https://doi.org/10.20350/digitalCSIC/16235
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/354889
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1 Versiones
1 Versiones
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/354889
Dataset. 2024
TSEB IMPLEMENTATION FOR THE MANUSCRIPT 'EVALUATING THE PRECISE GRAPEVINE WATER STRESS DETECTION USING UNMANNED AERIAL VEHICLES AND EVAPOTRANSPIRATION-BASED METRICS'
Digital.CSIC. Repositorio Institucional del CSIC
- 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
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., The experiment was undertaken under the Digital Agriculture Technologies for Irrigation efficiency (DATI) project (2020-2024) funded by the Spanish Ministry of Science and Innovation (AEI/10.13039/501100011033) and the PRIMA EU program. It additionally received support from the EO4WUE research project (TED2021-129814B-I00) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. We also would like to thank Dr. Bill Kustas and USDA for helping with research infrastructure and scientific support., All the inputs and outputs of the two-source energy balance (TSEB) model are in the 'inputs' and 'outputs folder. Another readme file explicitely describes this data. Also described below: ## inputs ### meteo A csv file with meterological and EC measurements during UAV overpass time. ### UAV UAV imagery are stored in seperate folders for each date (in YYYYMMDD). Each input is available over the study site at 2m spatial resolution. ## outputs The model outputs are available for both TSEB-PT and TSEB-2T versions using pyTSEB (https://github.com/hectornieto/pyTSEB). In each folder, both Main ('Main') and ancillary ('Anc') output data is made available., Peer reviewed
Proyecto: AEI//TED2021-129814B-I00
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