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David Brodylo

Biographic Data

ID7992447
NAMEDavid Brodylo
GIVEN NAMESDavid
FAMILY NAMEBrodylo
SIGNATUREBRODYLO D
AFFILIATIONSCold Regions Research and Engineering Laboratory
ORCID0000-0002-0331-2398
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Quantification of active layer depth at multiple scales in Interior Alaska permafrost

    Open Access•David Brodylo, Thomas A Douglas et al.•ARTICLE•Environmental Research Letters•2024

    Much of Interior Alaska is underlain by permafrost that has been thawing at an unprecedented rate. Top-down expansion of the seasonally thawed ‘active layer’ and development of thermokarst features are increasing across the landscape. This can be attributed primarily due to a warming climate and disturbances like wildfires which have accelerated summer season permafrost thaw. Quantification of active-layer thickness (ALT) is critical to understan…

  • Combining a climate-permafrost model with fine resolution remote sensor products to quantify active-layer thickness at local scales

    Open Access•Caiyun Zhang, Thomas A Douglas et al.•ARTICLE•Environmental Research Letters•2024

    Quantification of active-layer thickness (ALT) over seasonally frozen terrains is critical to understand the impacts of climate warming on permafrost ecosystems in cold regions. Current large-scale process-based models cannot characterize the heterogeneous response of local landscapes to homogeneous climatic forcing. Here we linked a climate-permafrost model with a machine learning solution to indirectly quantify soil conditions reflected in the …

  • Linking repeat lidar with Landsat products for large scale quantification of fire-induced permafrost thaw settlement in interior Alaska

    Open Access•Caiyun Zhang, Thomas A Douglas et al.•ARTICLE•Environmental Research Letters•2022

    The permafrost–fire–climate system has been a hotspot in research for decades under a warming climate scenario. Surface vegetation plays a dominant role in protecting permafrost from summer warmth, thus, any alteration of vegetation structure, particularly following severe wildfires, can cause dramatic top–down thaw. A challenge in understanding this is to quantify fire-induced thaw settlement at large scales (>1000 km 2 ). In this study, we expl…

No prominent works on this page.

  • Linking repeat lidar with Landsat products for large scale quantification of fire-induced permafrost thaw settlement in interior Alaska

    Open Access•Caiyun Zhang, Thomas A Douglas et al.•ARTICLE•Environmental Research Letters•2022

    The permafrost–fire–climate system has been a hotspot in research for decades under a warming climate scenario. Surface vegetation plays a dominant role in protecting permafrost from summer warmth, thus, any alteration of vegetation structure, particularly following severe wildfires, can cause dramatic top–down thaw. A challenge in understanding this is to quantify fire-induced thaw settlement at large scales (>1000 km 2 ). In this study, we expl…

  • Quantification of active layer depth at multiple scales in Interior Alaska permafrost

    Open Access•David Brodylo, Thomas A Douglas et al.•ARTICLE•Environmental Research Letters•2024

    Much of Interior Alaska is underlain by permafrost that has been thawing at an unprecedented rate. Top-down expansion of the seasonally thawed ‘active layer’ and development of thermokarst features are increasing across the landscape. This can be attributed primarily due to a warming climate and disturbances like wildfires which have accelerated summer season permafrost thaw. Quantification of active-layer thickness (ALT) is critical to understan…

  • Combining a climate-permafrost model with fine resolution remote sensor products to quantify active-layer thickness at local scales

    Open Access•Caiyun Zhang, Thomas A Douglas et al.•ARTICLE•Environmental Research Letters•2024

    Quantification of active-layer thickness (ALT) over seasonally frozen terrains is critical to understand the impacts of climate warming on permafrost ecosystems in cold regions. Current large-scale process-based models cannot characterize the heterogeneous response of local landscapes to homogeneous climatic forcing. Here we linked a climate-permafrost model with a machine learning solution to indirectly quantify soil conditions reflected in the …

Climate change and permafrost (3 works) · Cryospheric studies and observations (3 works) · Environmental Science (3 works) · Geography (3 works) · Geology (3 works) · Oceanography (3 works) · Permafrost (3 works) · Physical geography (3 works) · Remote sensing (3 works) · Active layer (2 works)

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