| 1. Description of sources J San-Miguel-Ayanz, R Steinbrecher, A Ferreiro, M Woodfield, D Simpson Forest 110301, 110302, 0 | | |
| 12.1 Context of Risk Assessment. Introduction D Oom, D de Rigo, J San-Miguel-Ayanz, T Artes-Vivancos, R Boca, ... | | 2021 |
| 21 The Global Early Warning System for Wildland Fire WJ de Groot, JG Goldammer Vegetation Fires and Global Change, 277, 2013 | 3 | 2013 |
| 4.2 Forests and forestry A CAMIA, J SAN-MIGUEL-AYANZ, BA BASTRUP, HM FÜSSEL | | |
| A 1980–2018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices C Vitolo, F Di Giuseppe, B Krzeminski, J San-Miguel-Ayanz Scientific data 6 (1), 1-10, 2019 | 55 | 2019 |
| A cloud mask methodology for high resolution remote sensing data combining information from high and medium resolution optical sensors F Sedano, P Kempeneers, P Strobl, J Kucera, P Vogt, L Seebach, ... ISPRS Journal of Photogrammetry and Remote Sensing 66 (5), 588-596, 2011 | 54 | 2011 |
| A comparative analysis of the use of NOAA‐AVHRR NDVI and FWI data for forest fire risk assessment A Gabban, J San‐Miguel‐Ayanz, DX Viegas International Journal of Remote Sensing 29 (19), 5677-5687, 2008 | 25 | 2008 |
| A comparison of remote sensing products and forest fire statistics for improving fire information in mediterranean Europe L Vilar del Hoyo, A Camia, J San Miguel Ayanz Taylor & Francis, 2015 | | 2015 |
| A comparison of remote sensing products and forest fire statistics for improving fire information in Mediterranean Europe L Vilar, A Camia, J San-Miguel-Ayanz European Journal of Remote Sensing 48 (1), 345-364, 2015 | 37 | 2015 |
| A data-driven model for large wildfire behaviour prediction in Europe D Rodriguez-Aseretto, D de Rigo, M Di Leo, A Cortés, ... Procedia Computer Science 18, 1861-1870, 2013 | 45 | 2013 |
| A decade of the Copernicus Emergency Management Service JF PEKEL, P SPRUYT, M BROGLIA, A TORETI, J SAN-MIGUEL-AYANZ, ... | | |
| A European map of living forest biomass and carbon stock JI Barredo, J San-Miguel-Ayanz, G Caudullo, L Busetto Reference Report by the Joint Research Centre of the European Commission …, 2012 | 28 | 2012 |
| A European map of living forest biomass and carbon stock-Executive report C BARREDO, J SAN-MIGUEL-AYANZ, G CAUDULLO, L BUSETTO | 8 | 2012 |
| A fast and unbiased procedure to randomize ecological binary matrices with fixed row and column totals G Strona, D Nappo, F Boccacci, S Fattorini, J San-Miguel-Ayanz Nature communications 5 (1), 4114, 2014 | 251 | 2014 |
| A global wildfire dataset for the analysis of fire regimes and fire behaviour T Artés, D Oom, D De Rigo, TH Durrant, P Maianti, G Libertà, ... Scientific data 6 (1), 296, 2019 | 193 | 2019 |
| A methodology to generate a synergetic land-cover map by fusion of different land-cover products A Pérez-Hoyos, FJ García-Haro, J San-Miguel-Ayanz International Journal of Applied Earth Observation and Geoinformation 19, 72-87, 2012 | 83 | 2012 |
| A model weighting scheme for fire weather projections simulated by CMIP6 climate model ensembles C Gallo, J Eden, B Dieppois, I Drobyshev, P Fulé, J San-Miguel-Ayanz, ... EGU General Assembly Conference Abstracts, EGU-15341, 2023 | 1 | 2023 |
| A model weighting scheme for fire weather projections simulated by CMIP6 climate model ensembles-Abstract EGU23-15341 C Gallo, J Eden, B Dieppois, I Drobyshev, P Fulé, J San-Miguel-Ayanz, ... EGU General Assembly 2023, 2023 | | 2023 |
| A review of the main driving factors of forest fire ignition over Europe A Ganteaume, A Camia, M Jappiot, J San-Miguel-Ayanz, M Long-Fournel, ... Environmental management 51, 651-662, 2013 | 585 | 2013 |
| Accuracy Assessment of a Remote Sensing-Based, Pan-European Forest Cover Map Using Multi-Country National Forest P Kempeneers, D McInerney, F Sedano, J Gallego, P Strobl, S Kay, ... | | |
Daniele de Rigo¹ European Commission, Joint Research Centre (external consultant) | ² Maieutike Research InitiativeVerified email at maieutike.org
