40 citations as recorded by crossref.

1. The climatology of extreme wildfires in Portugal, 1980–2018: Contributions to forecasting and preparedness M. Carmo et al. 10.1002/joc.7411
2. Assessment of the indirect impact of wildfire (severity) on actual evapotranspiration in eucalyptus forest based on the surface energy balance estimated from remote-sensing techniques M. Häusler et al. 10.1080/01431161.2018.1460508
3. Radiative transfer modeling to measure fire impact and forest engineering resilience at short-term J. Fernández-Guisuraga et al. 10.1016/j.isprsjprs.2021.04.002
4. Pre-fire aboveground biomass, estimated from LiDAR, spectral and field inventory data, as a major driver of burn severity in maritime pine (Pinus pinaster) ecosystems J. Fernández-Guisuraga et al. 10.1016/j.fecs.2022.100022
5. Post-fire resilience in the Alpine region estimated from MODIS satellite multispectral data B. Di Mauro et al. 10.1016/j.jag.2014.04.010
6. Relationship Between Post-Fire Vegetation Recovery and Soil Temperature in the Mediterranean Forest G. Calderisi et al. 10.3390/fire8030091
7. Long-Term Satellite Detection of Post-Fire Vegetation Trends in Boreal Forests of China K. Yi et al. 10.3390/rs5126938
8. Post-Fire Recovery of Eucalypt-Dominated Vegetation Communities in the Sydney Basin, Australia J. Heath et al. 10.4996/fireecology.1203053
9. Indicator-based assessment of post-fire recovery dynamics using satellite NDVI time-series T. João et al. 10.1016/j.ecolind.2018.02.008
10. A Framework for Multi-Dimensional Assessment of Wildfire Disturbance Severity from Remotely Sensed Ecosystem Functioning Attributes B. Marcos et al. 10.3390/rs13040780
11. Vegetation recovery drivers at short-term after fire are plant community-dependent in mediterranean burned landscapes J. Fernández-Guisuraga et al. 10.1016/j.foreco.2023.121034
12. Can Landsat-Derived Variables Related to Energy Balance Improve Understanding of Burn Severity From Current Operational Techniques? A. Fernández-Manso et al. 10.3390/rs12050890
13. Drought impacts on vegetation in the pre- and post-fire events over Iberian Peninsula C. Gouveia et al. 10.5194/nhess-12-3123-2012
14. Hydrological Impacts of Large Fires and Future Climate: Modeling Approach Supported by Satellite Data C. Carvalho-Santos et al. 10.3390/rs11232832
15. A Simple Method to Identify Potential Groundwater-Dependent Vegetation Using NDVI MODIS P. Páscoa et al. 10.3390/f11020147
16. Satellite measurement of forest disturbance, recovery and deposit distribution following explosive volcanic eruptions M. Udy et al. 10.1016/j.jvolgeores.2024.108204
17. Early natural tree regeneration after wildfire in a Central European Scots pine forest: Forest management, fire severity and distance matters M. Schüle et al. 10.1016/j.foreco.2023.120999
18. Birds and the Fire Cycle in a Resilient Mediterranean Forest: Is There Any Baseline? R. Prodon 10.3390/f12121644
19. Recovery Following Recurrent Fires Across Mediterranean Ecosystems T. Ermitão et al. 10.1111/gcb.70013
20. Quantifying Spatiotemporal Post‐Disturbance Recovery Using Field Inventory, Tree Growth, and Remote Sensing S. Huang et al. 10.1029/2018EA000489
21. The Signature of Climate in Annual Burned Area in Portugal C. DaCamara 10.3390/cli12090143
22. Vegetation Recovery Patterns in Burned Areas Assessed with Landsat 8 OLI Imagery and Environmental Biophysical Data B. Meneses 10.3390/fire4040076
23. Burn severity influence on post-fire vegetation cover resilience from Landsat MESMA fraction images time series in Mediterranean forest ecosystems A. Fernandez-Manso et al. 10.1016/j.rse.2016.06.015
24. How to map potential mesovoid shallow substratum (MSS) habitats? A case study in colluvial MSS R. Eusébio et al. 10.3897/subtbiol.45.96332
25. Evaluation of fire severity in fire prone-ecosystems of Spain under two different environmental conditions P. García-Llamas et al. 10.1016/j.jenvman.2020.110706
26. Ecosystem Resilience Monitoring and Early Warning Using Earth Observation Data: Challenges and Outlook S. Bathiany et al. 10.1007/s10712-024-09833-z
27. Investigation of factors that affect post-fire recovery of photosynthetic activity at global scale Y. Shen et al. 10.1016/j.ecolind.2025.113206
28. Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques R. Meng et al. 10.1016/j.rse.2018.03.019
29. The choices of the fire — Debating socioeconomic determinants of the fires observed at Portuguese municipalities P. Mourão & V. Martinho 10.1016/j.forpol.2014.01.007
30. An empirical assessment of the potential of post-fire recovery of tree-forest communities in Mediterranean environments M. Rodrigues et al. 10.1016/j.foreco.2023.121587
31. Dynamics of mediterranean pine forests reforested after fires Á. Enríquez-de-Salamanca 10.1007/s11676-022-01503-3
32. Combining remote sensing and field data to assess recovery of the Chilean Mediterranean vegetation after fire: Effect of time elapsed and burn severity C. Smith-Ramírez et al. 10.1016/j.foreco.2021.119800
33. COSMO-SkyMed potential to detect and monitor Mediterranean maquis fires and regrowth: a pilot study in Capo Figari, Sardinia, Italy G. Vaglio Laurin et al. 10.3832/ifor2623-011
34. Biogeographic variability in wildfire severity and post-fire vegetation recovery across the European forests via remote sensing-derived spectral metrics A. Nolè et al. 10.1016/j.scitotenv.2022.153807
35. Assessing the resilience of ecosystem functioning to wildfires using satellite-derived metrics of post-fire trajectories B. Marcos et al. 10.1016/j.rse.2022.113441
36. Assessing the role of drought events on wildfires in the Iberian Peninsula A. Russo et al. 10.1016/j.agrformet.2017.01.021
37. Remote Sensing of Forest Burnt Area, Burn Severity, and Post-Fire Recovery: A Review E. Kurbanov et al. 10.3390/rs14194714
38. Lightning-induced fire regime in Portugal based on satellite-derived and in situ data L. Menezes et al. 10.1016/j.agrformet.2024.110108
39. The outstanding synergy between drought, heatwaves and fuel on the 2007 Southern Greece exceptional fire season C. Gouveia et al. 10.1016/j.agrformet.2015.11.023
40. Neural-Network Time-Series Analysis of MODIS EVI for Post-Fire Vegetation Regrowth C. Vasilakos et al. 10.3390/ijgi7110420