No. 49 (2017): Special issue: Avances en el análisis de la severidad y la dinámica ambiental post-fuego mediante teledetección

Published: 2017-12-05

Full Issue

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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

  1-16

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• Burn severity and regeneration in large forest fires: an analysis from Landsat time series

  S. Martínez, E. Chuvieco, I. Aguado, J. Salas

  17-32

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• 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

  33-47

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• Validation of the remote sensing indices dNBR and RdNBR to assess fire severity in the Oia-O Rosal (Pontevedra) wildfire in 2013

  S. Arellano Pérez, J.A. Vega, F. Rodríguez y Silva, C. Fernández, D. Vega-Nieva, J.G. Álvarez-González, A.D. Ruiz-González

  49-61

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• 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

  63-77

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• 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

  79-90

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• 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

  91-102

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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

  103-113

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• Severity study in Albinyana (Catalunya) forest fire, using SENTINEL-2 data

  A. Guerrero, L. Pineda, V. Palà, J. Corbera

  115-121

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