A Linear Regression Model for Live Fuel Moisture Content Estimation during the Fire Season in Shrub Areas of the Province of Valencia in Spain Using Sentinel-2 Remote Sensing Data
Author:
Affiliation:
1. Geo-Enviromental Cartography and Remote Sensing Group (CGAT-UPV), Universitat Politècnica de València, Camí de Vera, s/n, 46022 València, Spain
Publisher
MDPI
Link
https://www.mdpi.com/2673-4931/28/1/12/pdf
Reference4 articles.
1. Cunill Camprubí, À., González-Moreno, P., and Resco de Dios, V. (2022). Live Fuel Moisture Content Mapping in the Mediterranean Basin Using Random Forests and Combining MODIS Spectral and Thermal Data. Remote Sens., 14.
2. A fuel moisture content and flammability monitoring methodology for continental Australia based on optical remote sensing;Yebra;Remote Sens. Environ.,2018
3. Costa-Saura, J.M., Balaguer-Beser, Á., Ruiz, L.A., Pardo-Pascual, J.E., and Soriano-Sancho, J.L. (2021). Empirical Models for Spatio-Temporal Live Fuel Moisture Content Estimation in Mixed Mediterranean Vegetation Areas Using Sentinel-2 Indices and Meteorological Data. Remote Sens., 13.
4. Arcos, M.A., Balaguer-Beser, Á., and Ruiz, L.Á. (2021, January 7–8). Modelos Empíricos De Predicción Del Contenido De Humedad Del Combustible Vivo Mediante Índices Espectrales De Sentinel-2 Y Datos Meteorológicos. Proceedings of the 3rd Congress in Geomatics Engineering, Valencia, Spain.
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