ANTONIO ALFONSO
FERNÁNDEZ MANSO
Catedrático de Universidad
Universidad de Valladolid
Valladolid, EspañaPublications in collaboration with researchers from Universidad de Valladolid (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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Fire severity as a determinant of the socioeconomic impact of wildfires
Fire Hazards: Socio-economic and Regional Issues (Springer International Publishing), pp. 153-166
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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
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Linking crown fire likelihood with post-fire spectral variability in Mediterranean fire-prone ecosystems
International Journal of Wildland Fire , Vol. 33, Núm. 4
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Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces
Science of the Total Environment, Vol. 940
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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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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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
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
2019
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Assessment of the influence of biophysical properties related to fuel conditions on fire severity using remote sensing techniques: A case study on a large fire in NW Spain
International Journal of Wildland Fire, Vol. 28, Núm. 7, pp. 512-520