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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.contributor.author | Ruiz-Álvarez, Marcos | - |
| dc.contributor.author | Gomariz-Castillo, Francisco | - |
| dc.contributor.author | Alonso-Sarria, Francisco | - |
| dc.contributor.author | López Ballesteros, Ana | - |
| dc.date.accessioned | 2024-02-27T09:43:16Z | - |
| dc.date.available | 2024-02-27T09:43:16Z | - |
| dc.date.issued | 2022-01-10 | - |
| dc.identifier.citation | Geocarto International, 37(25), 2022 Pages 9242-9260 | es |
| dc.identifier.issn | Print: 1010-6049 | - |
| dc.identifier.issn | Electronic: 1752-0762 | - |
| dc.identifier.uri | http://hdl.handle.net/10201/139681 | - |
| dc.description | © 2021. The authors. This document is made available under the CC-BY-NC 4.0 license http://creativecommons.org/licenses/by-nc /4.0/ This document is the accepted version of a published work that appeared in final form in Geocarto International. To access the final edited and published work see https://doi.org/10.1080/10106049.2021.2017011 | es |
| dc.description.abstract | Abstract: The objective of this paper is to contribute to improve ETa estimation in semiarid environments by proposing two variations to the TDMT model. These variations are based on the use of MODIS products from TERRA or AQUA satellites and on the use of NDVI instead of EVI, to estimate the fraction of vegetation cover. The proposed changes were validated with the original methodology for the 2012-2014 period with data obtained from two flux towers (ES-LJu and ES-Amo). The best results were obtained when using the alternative methodology (RMSE of 0.64-0.67 mm in ES-Lju and of 0.97-1.02 mm in ES-Amo). Additionally, a correction of the temporal systematic errors of the model based on Random Forest is proposed. With this correction, RMSE of 0.31-0.35 mm in ES-Lju and 0.30-0.34 mm in ES-Amo were obtained. The spatial distribution obtained with this corrected model is the most consistent with the characteristics of the study area | es |
| dc.format | application/pdf | es |
| dc.format.extent | 34 | es |
| dc.language | eng | es |
| dc.publisher | Taylor & Francis LTD | es |
| dc.relation | This work was supported by the Spanish Ministry of Economy, Industry and Competitiveness/Agencia Estatal de Investigación/FEDER [grant number CGL2017-84625-C2-2-R]. | es |
| dc.rights | info:eu-repo/semantics/openAccess | es |
| dc.rights | Atribución-NoComercial 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
| dc.subject | Actual evapotranspiration | es |
| dc.subject | MODIS | es |
| dc.subject | TDTM | es |
| dc.subject | Flux towers | es |
| dc.subject | Random Forest | es |
| dc.subject.other | CDU::9 - Geografía e historia | es |
| dc.title | Estimation of Actual Evapotranspiration using TDTM model and MODIS derived variables | es |
| dc.type | info:eu-repo/semantics/article | es |
| dc.relation.publisherversion | https://www.tandfonline.com/doi/full/10.1080/10106049.2021.2017011 | es |
| dc.identifier.doi | https://doi.org/10.1080/10106049.2021.2017011 | - |
| dc.contributor.department | Departamento de Geografía | - |
| Aparece en las colecciones: | Artículos | |
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| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| 2022_GeocartoInternational_Accepted.pdf | Accepted version | 2,57 MB | Adobe PDF |  Visualizar/Abrir |
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