Geoforest: PUBLICACIONES

Publicaciones de los miembros del grupo

 

278Publicaciones encontradas
14 Páginas - [1[2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14

Scientific articles: international journals (SCI)
:: Montealegre, A.L.; Lamelas, M.T.; García-Martín, A.; de la Riva, J.; Escribano, F., (2017). Using low-density discrete ALS data to assess the potential carbon dioxide emission in case of a fire event in a Mediterranean pine forest. GIScience & Remote Sensing 54(5), 721-740 (doi: 10.1080/15481603.2017.1320863).

:: Domingo, D.; Lamelas, M.T.; Montealegre, A.L.; de la Riva, J., (2017). Comparison of regression models to estimate biomass losses and CO2 emissions using low density airborne laser scanning data in a burnt Aleppo pine forest. European Journal of Remote Sensing 50 (1), 384-396 (doi: 10.1080/22797254.2017.1336067).

:: Jiménez-Ruano, A.; Rodrigues Mimbrero, M.; de la Riva Fernández, J., (2017). Understanding wildfires in mainland Spain. A comprehensive analysis of fire regime features in a climate-human context. Applied Geography.

:: Jiménez-Ruano, A.; Rodrigues Mimbrero, M.; de la Riva Fernández, J., (2017). Exploring spatial-temporal dynamics of fire regime features at mainland Spain. Natural Hazards and Earth System Sciences 17, 1697-1711 (doi: 10.5194/nhess-17-1697-2017).

:: Montealegre, A.L.; Lamelas, M.T.; de la Riva, J.; García-Martín, A.; Escribano, F., (2016). Use of low point density ALS data to estimate stand-level structural variables in Mediterranean Aleppo pine forest. Forestry 89(4), 373-382 (doi: 10.1093/forestry/cpw008).

:: Rodrigues Mimbrero, M.; Jiménez Ruano, A.; de la Riva Fernández, J., (2016). Analysis of recent spatial-temporal evolution of human driving factors of wildfires in Spain. Natural Hazards 84(3), 2049-2070 (doi: 10.1007/s11069-016-2533-4).

:: Montealegre, A.L.; Lamelas, M.T.; de la Riva, J., (2015). A Comparison of Open Source LiDAR Filtering Algorithms in a Mediterranean Forest Environment. J-STARS “IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing” 8(8), 4072-4085 (doi: 10.1109/JSTARS.2015.2436974).

:: Uribe, P.; Angás, J.; Pérez-Cabello, F.; de la Riva, J.; Bea, M.; Serreta, A.; Magallón, M.A.; Sáenz, C.; Martín-Bueno, M., (2015). Aerial mapping and multi-sensors approaches from remote sensing applied to the roman archaeological heritage. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XL-5/W4, 469-479 (doi: 10.5194/isprsarchives-XL-5-W4-469-2015) .

:: Montealegre, A.L.; Lamelas, M.T.; de la Riva, J., (2015). Interpolation Routines Assessment in ALS-Derived Digital Elevation Models for Forestry Applications. Remote Sensing 7, 8631-8654 (doi:10.3390/rs70708631).

:: Chuvieco, E., Aguado, I., Jurdao, S., Pettinari, M.L., Salas, J., de la Riva, J., Ibarra, P., Rodrigues, M., Echeverría, M.T., Azqueta, D., Román, M.V., Bastarrika, A., Martínez, S., Recondo, C., Zapico, E., Martínez-Vega, F.J., (2014). Integrating geospatial information into fire risk assessment. International Journal of Wildland Fire 23(5), 606-619 (doi: 10.1071/WF12052).

:: Tanase, M.A.; Santoro, M.; Aponte, C.; de la Riva, J., (2014). Polarimetric properties of burned forest areas at C- and L-band. J-STARS “IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing” 7(1), 267-276 (doi: 10.1109/JSTARS.2013.2261053).

:: Rodrigues, M.; de la Riva, J.; Fotheringham, S., (2014). Modeling the spatial variation of the explanatory factors of human-caused wildfires in Spain using geographically weighted logistic regression. Applied Geography 48, 52-63 (doi: j.apgeog.2014.01.011).

:: Rodrigues, M.; de la Riva, J., (2014). An insight into machine-learning algorithms to model human-caused wildfire occurrence in Spain. Environmental Modelling & Software 57, 192-201 (doi: dx.doi.org/10.1016/j.envsoft.2014.03.003).

:: Sangüesa-Barreda, G.; Camarero, J.J.; García-Martín, A.; Hernández, R.; de la Riva, J., (2014). Remote-sensing and tree-ring based characterization of forest defoliation and growth loss due to the Mediterranean pine processionary moth. Forest Ecology and Management 320, 171-181 (doi: dx.doi.org/10.1016/j.foreco.2014.03.008).

:: Rodrigues, M.; Ibarra, P.; Echeverría, M.T.; Pérez-Cabello, F.; de la Riva, J., (2014). A method for regional scale assessment of vegetation recovery time after high severity wildfires: Case study of Spain. Progress in Physical Geography 38, 556-575 (doi: 10.1177/0309133314542956).

:: Vlassova, L.; Perez-Cabello, F.; Nieto, H.; Martín, P.; Riaño, D.; de la Riva, J., (2014). Assessment of Methods for Land Surface Temperature Retrieval from Landsat-5 TM Images Applicable to Multiscale Tree-grass Ecosystem Modeling. Remote Sensing 6, 4345-4368 (doi: 10.3390/rs6054345).

:: Montealegre, A.L.; Lamelas, M.T.; Tanase, M.; de la Riva, J., (2014). Forest fire severity assessment using LiDAR data in a Mediterranean environment. Remote Sensing 6, 4240-4265 (doi: 10.3390/rs6054240).

:: Costafreda-Aumedes, S., García-Martín, A. y Vega-García, C., (2013). The relationship between landscape patterns and human-caused fire occurrence in Spain. Forest Systems, Vol. 22, pp. 71-81.

:: Pérez-Cabello, F., Cerdà, A., de la Riva, J., Echeverría, M.T., García-Martín, A., Ibarra, P., Lasanta, T., Montorio, R., Palacios, V., (2012). Micro-scale post-fire surface cover changes monitored using high spatial resolution photography in a semiarid environment: a useful tool in the study of post-fire soil erosion processes. Journal of Arid Environments 76, 88-96 (doi: 10.1016/j.jaridenv.2011.08.007).

:: Duguy, B., Alloza, J.A., Baeza, J., de la Riva, J., Echeverría, M., Ibarra, P., Llovet, J., Pérez-Cabello, F., Rovira, P., Vallejo, V.R., (2012). Modelling the ecological vulnerability to forest fires in Mediterranean ecosystems using geographic information technologies. Environmental Management 50(6), 1012-1026 (doi: 10.1007/s00267-012-9933-3).