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dc.contributor.author | Arcos-Villacís, María Alicia | es_ES |
dc.contributor.author | Edo-Botella, Roberto | es_ES |
dc.contributor.author | Balaguer-Beser, Ángel | es_ES |
dc.contributor.author | Ruiz Fernández, Luis Ángel | es_ES |
dc.date.accessioned | 2024-01-04T19:01:09Z | |
dc.date.available | 2024-01-04T19:01:09Z | |
dc.date.issued | 2023-07 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/201516 | |
dc.description.abstract | [EN] This paper presents empirical models developed through stepwise multiple linear regression to estimate the live fuel moisture content (LFMC) in a Mediterranean area. The models are based on LFMC data measured in 50 field plots, considering four groups with similar bioclimatic characteristics and vegetation types (trees and shrubs). We also applied a species-specific LFMC model for Rosmarinus officinalis in plots with this dominant species. Spectral indices extracted from Sentinel-2 images and their averages over the study time period in each plot with a spatial resolution of 10 m were used as predictors, together with interpolated meteorological, topographic, and seasonal variables. The models achieved adjusted R2 values ranging between 52.1% and 74.4%. Spatial and temporal variations of LFMC in shrub areas were represented on a map. The results highlight the feasibility of developing satellite-derived LFMC operational empirical models in areas with various vegetation types and taking into account bioclimatic zones. The adjustment of data through GAM (generalized additive models) is also addressed in this study. The different error metrics obtained reflect that these models provided a better fit (most adjusted R2 values ranged between 65% and 74.1%) than the linear models, due to GAMs being more versatile and suitable for addressing complex problems such as LFMC behavior. | es_ES |
dc.description.sponsorship | Ma Alicia Arcos gives thanks for the help received by the Universitat Politecnica de Valencia through a pre-doctoral contract financed in the call, PAID-01-19, subprogram 1. This research was funded by through a collaboration agreement between the company Red Electrica de Espana S.A.U. and the Universitat Politecnica de Valencia (2020-2023), as well as the research project PID2020-117808RB-C21 funded by MCIN/AEI/10.13039/501100011033 and by ESF Investing in your future. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Forests | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Sentinel-2 | es_ES |
dc.subject | Live fuel moisture | es_ES |
dc.subject | Spectral indices | es_ES |
dc.subject | Mediterranean forests | es_ES |
dc.subject | Meteorological data | es_ES |
dc.subject | Topographic data | es_ES |
dc.subject | Google Earth Engine | es_ES |
dc.subject | GAMs | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.subject.classification | INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA | es_ES |
dc.title | Analyzing Independent LFMC Empirical Models in the Mid-Mediterranean Region of Spain Attending to Vegetation Types and Bioclimatic Zones | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/f14071299 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117808RB-C21/ES/CARTOGRAFIADO ESPECTRAL Y ESTRUCTURAL 3D DE COMBUSTIBLE MEDITERRANEO PARA LA MODELIZACION DEL COMPORTAMIENTO DEL FUEGO/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/UPV-VIN//PAID-01-19-20//Modelos para estimar el contenido de la humedad del combustible vivo y su aplicación en la evaluación del riesgo de incendios en parcelas forestales de la Comunitat Valenciana./ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica - Escola Tècnica Superior d'Enginyeria Geodèsica, Cartogràfica i Topogràfica | es_ES |
dc.description.bibliographicCitation | Arcos-Villacís, MA.; Edo-Botella, R.; Balaguer-Beser, Á.; Ruiz Fernández, LÁ. (2023). Analyzing Independent LFMC Empirical Models in the Mid-Mediterranean Region of Spain Attending to Vegetation Types and Bioclimatic Zones. Forests. 14(7):1-26. https://doi.org/10.3390/f14071299 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/f14071299 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 26 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 14 | es_ES |
dc.description.issue | 7 | es_ES |
dc.identifier.eissn | 1999-4907 | es_ES |
dc.relation.pasarela | S\496030 | es_ES |
dc.contributor.funder | European Social Fund | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | RED ELECTRICA DE ESPAÑA, S.A.U. | es_ES |
dc.contributor.funder | UNIVERSIDAD POLITECNICA DE VALENCIA | es_ES |
dc.subject.ods | 15.- Proteger, restaurar y promover la utilización sostenible de los ecosistemas terrestres, gestionar de manera sostenible los bosques, combatir la desertificación y detener y revertir la degradación de la tierra, y frenar la pérdida de diversidad biológica | es_ES |