ANTONIO ALFONSO
FERNANDEZ MANSO
Investigador en el periodo 1997-1999
Universidad de León
León, EspañaPublicaciones en colaboración con investigadores/as de Universidad de León (57)
2024
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FIREMAP: Cloud-based software to automate the estimation of wildfire-induced ecological impacts and recovery processes using remote sensing techniques
Ecological Informatics, Vol. 81
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Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration Models
Remote Sensing, Vol. 16, Núm. 2
2023
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First evaluation of fire severity retrieval from PRISMA hyperspectral data
Remote Sensing of Environment, Vol. 295
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Fractional vegetation cover ratio estimated from radiative transfer modeling outperforms spectral indices to assess fire severity in several Mediterranean plant communities
Remote Sensing of Environment, Vol. 290
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Unmixing PRISMA hyperspectral images by Multiple Endmember Spectral Mixture Analysis (MESMA) to assess fire severity in Mediterranean forest ecosystems
Proceedings of SPIE - The International Society for Optical Engineering
2022
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Castañares: fichas de impactos, vulnerabilidad y oportunidades de adaptación al cambio climático para ecosistemas arbolados
Adaptación al cambio climático: directrices para la adaptación de la gestión del patrimonio natural y la política forestal al cambio climático en Castilla y León (Instituto Universitario de Investigación en Gestión Forestal Sostenible), pp. 389-399
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Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity
Remote Sensing, Vol. 14, Núm. 20
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Optimizing Spectral Libraries from Landsat Imagery for the Analysis of Habitat Richness Using MESMA
Forests, Vol. 13, Núm. 11
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Otros bosques: fichas de impactos, vulnerabilidad y oportunidades de adaptación al cambio climático para ecosistemas arbolados
Adaptación al cambio climático: directrices para la adaptación de la gestión del patrimonio natural y la política forestal al cambio climático en Castilla y León (Instituto Universitario de Investigación en Gestión Forestal Sostenible), pp. 429-440
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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
Forest Ecosystems, Vol. 9
2021
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Forest damage monitoring in South-Western Europe based on data from Unmanned Aerial Vehicles (UAV)
Proceedings of SPIE - The International Society for Optical Engineering
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Multiple endmember spectral mixture analysis (Mesma) applied to the study of habitat diversity in the fine-grained landscapes of the cantabrian mountains
Remote Sensing, Vol. 13, Núm. 5, pp. 1-19
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Remote Sensing Techniques for Monitoring Fire Damage and Recovery of Mediterranean Pine Forests: Pinus pinaster and Pinus halepensis as Case Studies
Pines and Their Mixed Forest Ecosystems in the Mediterranean Basin, pp. 585-599
2020
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A synergetic approach to burned area mapping using maximum entropy modeling trained with hyperspectral data and VIIRS hotspots
Remote Sensing, Vol. 12, Núm. 5
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Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques?
Remote Sensing, Vol. 12, Núm. 5
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Cross-diffusion based filtering as pre-processing step for remote sensing procedures
Advances in Engineering Software, Vol. 140
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Enhanced burn severity estimation using fine resolution ET and MESMA fraction images with machine learning algorithm
Remote Sensing of Environment, Vol. 244
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Evaluation of fire severity in fire prone-ecosystems of Spain under two different environmental conditions
Journal of Environmental Management, Vol. 271
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Evaluation of prescribed fires from unmanned aerial vehicles (UAVs) imagery and machine learning algorithms
Remote Sensing, Vol. 12, Núm. 8
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Sentinel-2 red-edge spectral indexes best suited to discriminate burned from unburned areas in Mediterranean forest ecosystems
Proceedings of SPIE - The International Society for Optical Engineering