No 49 (2017)

Special issue: Avances en el análisis de la severidad y la dinámica ambiental post-fuego mediante teledetección

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Table of Contents

Research articles

Forest fire severity estimation based on the LiDAR-PNOA data and the values of the Composite Burn Index
A. L. Montealegre, M. T. Lamelas, M. A. Tanase, J. de la Riva
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1-16
Burn severity and regeneration in large forest fires: an analysis from Landsat time series
S. Martínez, E. Chuvieco, I. Aguado, J. Salas
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17-32
Study of post-fire severity in the Valencia region comparing the NBR, RdNBR and RBR indexes derived from Landsat 8 images
M. A. Botella-Martínez, A. Fernández-Manso
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33-47
Validation of the remote sensing indices dNBR and RdNBR to assess fire severity in the Oia-O Rosal (Pontevedra) wildfire in 2013
S. Arellano, J.A. Vega, F. Rodríguez y Silva, C. Fernández, D. Vega-Nieva, J.G. Álvarez-González, A.D. Ruiz-González
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49-61
Critical analysis of severity indices and affected surface by the wildland fire on Sierra de Luna (Zaragoza)
R. Guillem-Cogollos, D. Vinué-Visús, V. Caselles-Miralles, H. Espinós-Morató
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63-77
Control plot selection for studies of post-fire dynamics: performance of non-parametric and autoregressive routines
M. A. Landi, S. Ojeda, C. M. Di Bella, P. Salvatierra, J. P. Argañaraz, L. M. Bellis
PDF
79-90
Potential of UAV images as ground-truth data for burn severity classification of Landsat imagery: approaches to an useful product for post-fire management
M. Pla, A. Duane, L. Brotons
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91-102

Practical cases

Assessing fire severity in semi-arid environments: application in Donceles 2012 wildfire (SE Spain)
E. Gómez-Sánchez, J. de las Heras, M. Lucas-Borja, D. Moya
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103-113
Severity study in Albinyana (Catalunya) forest fire, using SENTINEL-2 data
A. Guerrero, L. Pineda, V. Palà, J. Corbera
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115-121


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Universitat Politècnica de València

Official Journal of the Spanish Association of Remote Sensing

e-ISSN: 1988-8740    ISSN: 1133-0953           https://doi.org/10.4995/raet