ANTONIO ALFONSO FERNÁNDEZ MANSO-rekin lankidetzan egindako argitalpenak (37)

2024

  1. FIREMAP: Cloud-based software to automate the estimation of wildfire-induced ecological impacts and recovery processes using remote sensing techniques

    Ecological Informatics, Vol. 81

  2. Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration Models

    Remote Sensing, Vol. 16, Núm. 2

  3. Linking crown fire likelihood with post-fire spectral variability in Mediterranean fire-prone ecosystems

    International Journal of Wildland Fire , Vol. 33, Núm. 4

  4. Manual de usuario FIREMAP: software para el análisis y toma de decisiones en la gestiónpost-incendio

    Universidad de León

  5. 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

  6. Post-fire Recovery of Pinus Halepensis, P. Pinaster, and P. Brutia Forests: Identifying Key Drivers from a Biophysical Approach

    Advances in Science, Technology and Innovation

2023

  1. Consejos de Gestión Forestal en el marco de los incendios forestales

    Universidad de León

  2. First evaluation of fire severity retrieval from PRISMA hyperspectral data

    Remote Sensing of Environment, Vol. 295

  3. 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

  4. 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

  1. Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity

    Remote Sensing, Vol. 14, Núm. 20

  2. Optimizing Spectral Libraries from Landsat Imagery for the Analysis of Habitat Richness Using MESMA

    Forests, Vol. 13, Núm. 11

  3. 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

  1. 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

  2. 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

  1. Evaluation of fire severity in fire prone-ecosystems of Spain under two different environmental conditions

    Journal of Environmental Management, Vol. 271

  2. Evaluation of prescribed fires from unmanned aerial vehicles (UAVs) imagery and machine learning algorithms

    Remote Sensing, Vol. 12, Núm. 8

  3. 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

  1. 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

  2. Burn severity and post-fire land surface albedo relationship in Mediterranean forest ecosystems

    Remote Sensing