J. de la Riva
University of Zaragoza
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Publication
Featured researches published by J. de la Riva.
International Journal of Wildland Fire | 2014
Emilio Chuvieco; Inmaculada Aguado; Sara Jurdao; M. Pettinari; Marta Yebra; Javier Salas; Stijn Hantson; J. de la Riva; Paloma Ibarra; Marcos Rodrigues; M.T. Echeverría; Diego Azqueta; M. V. Román; Aitor Bastarrika; Susana Martínez; C. Recondo; E. Zapico; F. J. Martínez-Vega
Fire risk assessment should take into account the most relevant components associated to fire occurrence. To estimate when and where the fire will produce undesired effects, we need to model both (a) fire ignition and propagation potential and (b) fire vulnerability. Following these ideas, a comprehensive fire risk assessment system is proposed in this paper,whichmakesextensiveuseofgeographicinformationtechnologiestoofferaspatiallyexplicitevaluationoffirerisk conditions. The paper first describes the conceptual model, then the methods to generate the different input variables, the approachestomergethosevariablesintosyntheticriskindicesandfinallythevalidationoftheoutputs.Themodelhasbeen applied at a national level for the whole Spanish Iberian territory at 1-km 2 spatial resolution. Fire danger included human factors, lightning probability, fuel moisture content of both dead and live fuels and propagation potential. Fire vulnerability was assessed by analysing values-at-risk and landscape resilience. Each input variable included a particular accuracy assessment, whereas the synthetic indices were validated using the most recent fire statistics available. Significant relations (P,0.001) with fire occurrence were found for the main synthetic danger indices, particularly for those associated to fuel moisture content conditions.
IEEE Transactions on Geoscience and Remote Sensing | 2010
Mihai A. Tanase; Fernando Pérez-Cabello; J. de la Riva; Maurizio Santoro
TerraSAR-X (TSX) dual-polarized synthetic aperture radar (SAR) data from a test site in Spain have been investigated to determine the relationship between forest burn severity and SAR backscatter. The role of the local incidence angle on the backscatter coefficient has been also studied. Burn severity was estimated by means of composition burn index plots and the remotely sensed differenced normalized burn ratio index. To infer the potential of the TSX data for burn severity assessment, the determination coefficients obtained from linear regression analysis have been used. At horizontal transmit horizontal receive (HH) polarization, backscatter increased for slopes oriented toward the sensor and areas affected by high burn severity, whereas, at horizontal transmit vertical receive (HV) polarization, higher backscatter occurred for slopes oriented away from the sensor in areas of low burn severity. The dependence of the backscatter coefficient on topography for areas affected by forest fire has been confirmed. The HH backscatter presented a clear descending trend with the increase in local incidence angle, whereas the HV backscatter presented an ascending trend. The determination coefficients showed that, at HH polarization, better estimates of burn severity are obtained at low local incidence angles, whereas, for HV polarization, the best estimates are obtained at high local incidence angles. The dual-polarized X-band SAR data showed potential for burn severity estimation in the Mediterranean environment if local incidence angle is accounted for.
Archive | 2012
M. T. Lamelas; Oswald Marinoni; J. de la Riva; Andreas Hoppe
European legislation calls for a well-planned sustainable development. As such, it has to in‐ clude a social, economic as well as an environmental dimension. According to Agenda 21 (http://www.un.org/esa/dsd/agenda21/), countries should undertake efforts to build up a comprehensive national inventory of their land resources in order to establish land informa‐ tion systems. The overall objective is to provide information for the improvement or the re‐ structuring of land-use decision processes including the consideration of socio-economic and environmental issues.
Cuadernos de Investigación Geográfica | 2013
Fernando Pérez-Cabello; Paloma Ibarra; J. de la Riva; M.T. Echeverría; R. Montorio; Alberto García-Martín
Se analiza el impacto y la evolucion de la estructura del paisaje en un incendio del Prepirineo aragones utilizando 6 imagenes Landsat 5 TM, identificando relaciones entre valores de heterogeneidad espacial y comunidades vegetales. Se extraen los NDVI (Normalized Difference Vegetation Index), se calcula el indice de Shannon y se cartografia para cada ano. Se definen tres componentes representativos de los valores de diversidad (preincendio, a corto plazo y a medio plazo). Se concluye que a nivel de comunidad vegetal el incendio ha supuesto un incremento de la diversidad interna en algunas comunidades. No obstante, a medio plazo y a escala global el fuego provoca la homogeneizacion del paisaje, tal y como describen otros autores utilizando fuentes de informacion similar.
Environmental Earth Sciences | 2008
M. T. Lamelas; Oswald Marinoni; Andreas Hoppe; J. de la Riva
Applied Geography | 2014
Marcos Rodrigues; J. de la Riva; S. Fotheringham
Journal of Arid Environments | 2012
Fernando Pérez-Cabello; Artemi Cerdà; J. de la Riva; M.T. Echeverría; Alberto García-Martín; Paloma Ibarra; Teodoro Lasanta; R. Montorio; V. Palacios
Land Degradation & Development | 2010
Fernando Pérez-Cabello; P. Ibarra; M. T. Echeverría; J. de la Riva
Environmental Earth Sciences | 2008
M. T. Lamelas; Oswald Marinoni; Andreas Hoppe; J. de la Riva
Geomorphology | 2009
M.T. Lamelas; Andreas Hoppe; J. de la Riva; O. Marinoni