Brendan M. Rogers

Orcid: 0000-0001-6711-8466

According to our database1, Brendan M. Rogers authored at least 16 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
DVMDOSTEM v0.8.3: a terrestrial ecosystem model designed to represent arctic, boreal and permafrost ecosystem dynamics.
J. Open Source Softw., July, 2025

A multi-scale vision transformer-based multimodal GeoAI model for mapping Arctic permafrost thaw.
CoRR, April, 2025

Assessing the SMAP Level-4 Carbon Product Over the Arctic and Subarctic Zones.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

A Multiscale Vision Transformer-Based Multimodal GeoAI Model for Mapping Arctic Permafrost Thaw.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Corrigendum to "L-band microwave-retrieved fuel temperature predicts million-hectare-scale destructive wildfires" [Int. J. Appl. Earth Obs. Geoinf. 129 (2024) 103776].
Int. J. Appl. Earth Obs. Geoinformation, 2025

2024
Annual and Seasonal Patterns of Burned Area Products in Arctic-Boreal North America and Russia for 2001-2020.
Remote. Sens., September, 2024

A Comparison of Satellite Imagery Sources for Automated Detection of Retrogressive Thaw Slumps.
Remote. Sens., July, 2024

Model data for "Global biomass burning fuel consumption and emissions at 500-m spatial resolution based on the Global Fire Emissions Database (GFED)".
Dataset, July, 2024

Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping.
Remote. Sens., March, 2024

L-band microwave-retrieved fuel temperature predicts million-hectare-scale destructive wildfires.
Int. J. Appl. Earth Obs. Geoinformation, 2024

2022
Model code for "Global biomass burning fuel consumption and emissions at 500-m spatial resolution based on the Global Fire Emissions Database (GFED)".
Dataset, October, 2022

Model data for "Global biomass burning fuel consumption and emissions at 500-m spatial resolution based on the Global Fire Emissions Database (GFED)".
Dataset, October, 2022

Field data synthesis accompanying "Global biomass burning fuel consumption and emissions at 500-m spatial resolution based on the Global Fire Emissions Database (GFED)".
Dataset, October, 2022

Mapping Forest Stability within Major Biomes Using Canopy Indices Derived from MODIS Time Series.
Remote. Sens., 2022

Monitoring gas flaring in Texas using time-series sentinel-2 MSI and landsat-8 OLI images.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Evaluating the Differenced Normalized Burn Ratio for Assessing Fire Severity Using Sentinel-2 Imagery in Northeast Siberian Larch Forests.
Remote. Sens., 2021


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