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Richard H Chen

Dados Biográficos

ID7996692
NOMERichard H Chen
PRENOMESRichard H
SOBRENOMEChen
ASSINATURACHEN R H
AFILIAÇÕESJet Propulsion Laboratory
ORCID0000-0001-8571-689X
VERIFICADOSim
TOTAL DE OBRAS4
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2024
ÍNDICE H0
  • Integrating multi-source remote sensing data for mapping boreal forest canopy height and species in interior Alaska in support of radar modeling

    Open Access•Yuhuan Zhao, Yu-Huan Zhao et al.•ARTICLE•Environmental Research Letters•2024

    Vegetation information is essential for analyzing aboveground biomass and understanding subsurface characteristics, such as root biomass, soil organic matter, and soil moisture conditions. In this study, we mapped boreal forest canopy height (FCH) and forest species (FS) distributions in the Delta Junction region of interior Alaska, by integrating multi-source remote sensing observations within a machine learning framework based on the extreme gr…

  • Maps of active layer thickness in northern Alaska by upscaling P-band polarimetric synthetic aperture radar retrievals

    Open Access•J Whitcomb, Richard Chen et al.•ARTICLE•Environmental Research Letters•2023

    Extensive, detailed information on the spatial distribution of active layer thickness (ALT) in northern Alaska and how it evolves over time could greatly aid efforts to assess the effects of climate change on the region and also help to quantify greenhouse gas emissions generated due to permafrost thaw. For this reason, we have been developing high-resolution maps of ALT throughout northern Alaska. The maps are produced by upscaling from high-res…

  • A model to characterize soil moisture and organic matter profiles in the permafrost active layer in support of radar remote sensing in Alaskan Arctic tundra

    Open Access•Kazem Bakian-Dogaheh, Richard H Chen et al.•ARTICLE•Environmental Research Letters•2022

    Organic matter (OM) content and a shallow water table are two key variables that govern the physical properties of the subsurface within the active layer of arctic soils underlain by permafrost, where the majority of biogeochemical activities take place. A detailed understanding of the soil moisture and OM profile behavior over short vertical distances through the active layer is needed to adequately model the subsurface physical processes. To ob…

  • Active layer thickness as a function of soil water content

    Open Access•Leah K Clayton, Kevin Schaefer et al.•ARTICLE•Environmental Research Letters•2021

    Active layer thickness (ALT) is a critical metric for monitoring permafrost. How soil moisture influences ALT depends on two competing hypotheses: (a) increased soil moisture increases the latent heat of fusion for thaw, resulting in shallower active layers, and (b) increased soil moisture increases soil thermal conductivity, resulting in deeper active layers. To investigate their relative influence on thaw depth, we analyzed the Field Measuremen…

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  • Active layer thickness as a function of soil water content

    Open Access•Leah K Clayton, Kevin Schaefer et al.•ARTICLE•Environmental Research Letters•2021

    Active layer thickness (ALT) is a critical metric for monitoring permafrost. How soil moisture influences ALT depends on two competing hypotheses: (a) increased soil moisture increases the latent heat of fusion for thaw, resulting in shallower active layers, and (b) increased soil moisture increases soil thermal conductivity, resulting in deeper active layers. To investigate their relative influence on thaw depth, we analyzed the Field Measuremen…

  • A model to characterize soil moisture and organic matter profiles in the permafrost active layer in support of radar remote sensing in Alaskan Arctic tundra

    Open Access•Kazem Bakian-Dogaheh, Richard H Chen et al.•ARTICLE•Environmental Research Letters•2022

    Organic matter (OM) content and a shallow water table are two key variables that govern the physical properties of the subsurface within the active layer of arctic soils underlain by permafrost, where the majority of biogeochemical activities take place. A detailed understanding of the soil moisture and OM profile behavior over short vertical distances through the active layer is needed to adequately model the subsurface physical processes. To ob…

  • Maps of active layer thickness in northern Alaska by upscaling P-band polarimetric synthetic aperture radar retrievals

    Open Access•J Whitcomb, Richard Chen et al.•ARTICLE•Environmental Research Letters•2023

    Extensive, detailed information on the spatial distribution of active layer thickness (ALT) in northern Alaska and how it evolves over time could greatly aid efforts to assess the effects of climate change on the region and also help to quantify greenhouse gas emissions generated due to permafrost thaw. For this reason, we have been developing high-resolution maps of ALT throughout northern Alaska. The maps are produced by upscaling from high-res…

  • Integrating multi-source remote sensing data for mapping boreal forest canopy height and species in interior Alaska in support of radar modeling

    Open Access•Yuhuan Zhao, Yu-Huan Zhao et al.•ARTICLE•Environmental Research Letters•2024

    Vegetation information is essential for analyzing aboveground biomass and understanding subsurface characteristics, such as root biomass, soil organic matter, and soil moisture conditions. In this study, we mapped boreal forest canopy height (FCH) and forest species (FS) distributions in the Delta Junction region of interior Alaska, by integrating multi-source remote sensing observations within a machine learning framework based on the extreme gr…

Climate change and permafrost (4 obras) · Cryospheric studies and observations (4 obras) · Environmental Science (4 obras) · Geology (4 obras) · Permafrost (3 obras) · Remote sensing (3 obras) · Active layer (2 obras) · Arctic (2 obras) · Arctic and Antarctic ice dynamics (2 obras) · Computer Science (2 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae