Works matching AU Fernández‐Guisuraga, José Manuel
Results: 19
Estimating Grassland Biophysical Parameters in the Cantabrian Mountains Using Radiative Transfer Models in Combination with Multiple Endmember Spectral Mixture Analysis.
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- Remote Sensing, 2024, v. 16, n. 23, p. 4547, doi. 10.3390/rs16234547
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- Article
Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration Models.
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- Remote Sensing, 2024, v. 16, n. 2, p. 361, doi. 10.3390/rs16020361
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- Article
Using Pre-Fire High Point Cloud Density LiDAR Data to Predict Fire Severity in Central Portugal.
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- Remote Sensing, 2023, v. 15, n. 3, p. 768, doi. 10.3390/rs15030768
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- Article
Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity.
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- Remote Sensing, 2022, v. 14, n. 20, p. 5138, doi. 10.3390/rs14205138
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- Article
Multiple Endmember Spectral Mixture Analysis (MESMA) Applied to the Study of Habitat Diversity in the Fine-Grained Landscapes of the Cantabrian Mountains.
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- Remote Sensing, 2021, v. 13, n. 5, p. 979, doi. 10.3390/rs13050979
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- Article
The Effects of Fire Severity on Vegetation Structural Complexity Assessed Using SAR Data Are Modulated by Plant Community Types in Mediterranean Fire-Prone Ecosystems.
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- Fire (2571-6255), 2023, v. 6, n. 12, p. 450, doi. 10.3390/fire6120450
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- Article
Transferability of vegetation recovery models based on remote sensing across different fire regimes.
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- Applied Vegetation Science, 2020, v. 23, n. 3, p. 441, doi. 10.1111/avsc.12500
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- Article
Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in Spain.
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- Fire Ecology, 2024, v. 20, n. 1, p. 1, doi. 10.1186/s42408-024-00276-w
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- Article
Prescribed burning mitigates the severity of subsequent wildfres in Mediterranean shrublands.
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- Fire Ecology, 2024, p. 1, doi. 10.1186/s42408-023-00233-z
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- Article
Fuel build-up promotes an increase in fire severity of reburned areas in fire-prone ecosystems of the western Mediterranean Basin.
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- Fire Ecology, 2023, v. 19, n. 1, p. 1, doi. 10.1186/s42408-023-00232-0
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- Article
The footprint of large wildfires on the multifunctionality of fire-prone pine ecosystems is driven by the interaction of fire regime attributes.
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- Fire Ecology, 2023, v. 19, n. 1, p. 1, doi. 10.1186/s42408-023-00193-4
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- Article
Estimating vegetation and litter biomass fractions in rangelands using structure-from-motion and LiDAR datasets from unmanned aerial vehicles.
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- Landscape Ecology, 2024, v. 39, n. 10, p. 1, doi. 10.1007/s10980-024-01979-w
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- Article
Integrating Physical-Based Models and Structure-from-Motion Photogrammetry to Retrieve Fire Severity by Ecosystem Strata from Very High Resolution UAV Imagery.
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- Fire (2571-6255), 2024, v. 7, n. 9, p. 304, doi. 10.3390/fire7090304
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- Article
Radar and multispectral remote sensing data accurately estimate vegetation vertical structure diversity as a fire resilience indicator.
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- Remote Sensing in Ecology & Conservation, 2023, v. 9, n. 1, p. 117, doi. 10.1002/rse2.299
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- Article
Using Unmanned Aerial Vehicles in Postfire Vegetation Survey Campaigns through Large and Heterogeneous Areas: Opportunities and Challenges.
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- Sensors (14248220), 2018, v. 18, n. 2, p. 586, doi. 10.3390/s18020586
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- Article
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.
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- Forest Ecosystems (KeAi Communications Co.), 2022, v. 9, n. 1, p. 1, doi. 10.1016/j.fecs.2022.100022
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- Article
Drivers and Trends in the Size and Severity of Forest Fires Endangering WUI Areas: A Regional Case Study.
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- Forests (19994907), 2023, v. 14, n. 12, p. 2366, doi. 10.3390/f14122366
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- Article
Short-Term Recovery of the Aboveground Carbon Stock in Iberian Shrublands at the Extremes of an Environmental Gradient and as a Function of Burn Severity.
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- Forests (19994907), 2022, v. 13, n. 2, p. 145, doi. 10.3390/f13020145
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- Article
Mapping Soil Burn Severity at Very High Spatial Resolution from Unmanned Aerial Vehicles.
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- Forests (19994907), 2021, v. 12, n. 2, p. 179, doi. 10.3390/f12020179
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- Article