000164131 001__ 164131
000164131 005__ 20251121161352.0
000164131 0247_ $$2doi$$a10.3390/rs17203422
000164131 0248_ $$2sideral$$a146293
000164131 037__ $$aART-2025-146293
000164131 041__ $$aeng
000164131 100__ $$0(orcid)0000-0003-4831-4060$$aPérez-Cabello, Fernando$$uUniversidad de Zaragoza
000164131 245__ $$aEvaluation of Post-Fire Treatments (Erosion Barriers) on Vegetation Recovery Using RPAS and Sentinel-2 Time-Series Imagery
000164131 260__ $$c2025
000164131 5060_ $$aAccess copy available to the general public$$fUnrestricted
000164131 5203_ $$aPost-fire soil and vegetation changes can intensify erosion and sediment yield by altering the factors controlling the runoff–infiltration balance. Erosion barriers (EBs) are widely used in hydrological and forest restoration to mitigate erosion, reduce sediment transport, and promote vegetation recovery. However, precise spatial assessments of their effectiveness remain scarce, requiring validation through operational methodologies. This study evaluates the impact of EB on post-fire vegetation recovery at two temporal and spatial scales: (1) Remotely Piloted Aircraft System (RPAS) imagery, acquired at high spatial resolution but limited to a single acquisition date coinciding with the field flight. These data were captured using a MicaSense RedEdge-MX multispectral camera and an RGB optical sensor (SODA), from which NDVI and vegetation height were derived through aerial photogrammetry and digital surface models (DSMs). (2) Sentinel-2 satellite imagery, offering coarser spatial resolution but enabling multi-temporal analysis, through NDVI time series spanning four consecutive years. The study was conducted in the area of the Luna Fire (northern Spain), which burned in July 2015. A paired sampling design compared upstream and downstream areas of burned wood stacks and control sites using NDVI values and vegetation height. Results showed slightly higher NDVI values (0.45) upstream of the EB (p < 0.05), while vegetation height was, on average, ~8 cm lower than in control sites (p > 0.05). Sentinel-2 analysis revealed significant differences in NDVI distributions between treatments (p < 0.05), although mean values were similar (~0.32), both showing positive trends over four years. This study offers indirect insight into the functioning and effectiveness of EB in post-fire recovery. The findings highlight the need for continued monitoring of treated areas to better understand environmental responses over time and to inform more effective land management strategies.
000164131 536__ $$9info:eu-repo/grantAgreement/ES/MCIN-AEI/PID2020-118886RB-I00-AEI-10.13039-501100011033$$9info:eu-repo/grantAgreement/ES/MCIN-AEI/PID2024-160889OA-I00-AEI-10.13039-501100011033
000164131 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000164131 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000164131 700__ $$aBaroja-Saenz, Carlos
000164131 700__ $$0(orcid)0000-0001-7403-1764$$aMontorio, Raquel$$uUniversidad de Zaragoza
000164131 700__ $$0(orcid)0000-0003-3854-2158$$aAngás-Pajas, Jorge
000164131 7102_ $$13006$$2010$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Análisis Geográfico Regi.
000164131 773__ $$g17, 20 (2025), 3422 [23 pp.]$$pRemote sens. (Basel)$$tRemote Sensing$$x2072-4292
000164131 8564_ $$s11095184$$uhttps://zaguan.unizar.es/record/164131/files/texto_completo.pdf$$yVersión publicada
000164131 8564_ $$s2477039$$uhttps://zaguan.unizar.es/record/164131/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000164131 909CO $$ooai:zaguan.unizar.es:164131$$particulos$$pdriver
000164131 951__ $$a2025-11-21-14:27:08
000164131 980__ $$aARTICLE