170952 20260430151735.0 doi 10.3390/rs18091352 sideral 149071 ART-2026-149071 eng Martín-Ortiz, Pedro Universidad de Zaragoza (orcid)0009-0008-6156-3110 Effect of Baseline Definition on Post-Fire Resilience Metrics Derived from Landsat Time Series in Pinus halepensis 2026 Wildfires have historically shaped Mediterranean ecosystems, fostering the adaptation of fire-resilient species such as Pinus halepensis Mill. Assessing post-fire resilience is essential to understand landscape recovery and guide forest management. This requires evaluating the speed, intensity, and trajectory of vegetation recovery relative to a defined baseline, although the influence of control point selection and baseline configuration remains unclear, despite its critical role in shaping the interpretation of recovery dynamics. This study proposes a methodological framework to assess the resilience of P. halepensis using 14-year Landsat time series following wildfire events, combined with image segmentation algorithms and Object-Based Image Analysis (GEOBIA). The analysis integrates two complementary vectors: (i) temporal evolution of NDVI and (ii) spectral probability of assignment to P. halepensis. Results indicate that NDVI suggests an average vegetation recovery time of seven years; however, spectral probability remains below 40% during this period, indicating slower tree cover recovery. Field inventories confirm that full recovery requires more than 15 years, with early stages dominated by shrublands, mainly Quercus coccifera. These findings show that NDVI alone overestimates resilience and that control selection and baseline configuration strongly influence assessments. GEOBIA enhances the ecological precision of resilience evaluation. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/ES/MCIN-AEI/PID2020-118886RB-I00-AEI-10.13039-501100011033 info:eu-repo/grantAgreement/ES/MCIN-AEI/PID2024-160889OA-I00-AEI-10.13039-501100011033 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Iranzo, Cristian Universidad de Zaragoza (orcid)0000-0002-3359-6213 Alves, Daniel Borini Montorio, Raquel Universidad de Zaragoza (orcid)0000-0001-7403-1764 Pérez-Cabello, Fernando Universidad de Zaragoza (orcid)0000-0003-4831-4060 3006 010 Universidad de Zaragoza Dpto. Geograf. Ordenac.Territ. Área Análisis Geográfico Regi. 18, 9 (2026), 1352 [31 pp.] Remote sens. (Basel) Remote Sensing 2072-4292 15466844 http://zaguan.unizar.es/record/170952/files/texto_completo.pdf Versión publicada 2332945 http://zaguan.unizar.es/record/170952/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:170952 articulos driver 2026-04-30-13:57:46 ARTICLE