2016
DOI: 10.1002/2016gl071334
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Semiautomatic mapping of permafrost in the Yukon Flats, Alaska

Abstract: Thawing of permafrost due to global warming can have major impacts on hydrogeological processes, climate feedback, arctic ecology, and local environments. To understand these effects and processes, it is crucial to know the distribution of permafrost. In this study we exploit the fact that airborne electromagnetic (AEM) data are sensitive to the distribution of permafrost and demonstrate how the distribution of permafrost in the Yukon Flats, Alaska, is mapped in an efficient (semiautomatic) way, using a combin… Show more

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Cited by 10 publications
(6 citation statements)
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“…This study deployed AirSWOT and a field team to eastern interior Alaska in June 2015 for testing over the Yukon Flats Basin (YFB), a protected wetland area within the Yukon Flats National Wildlife Refuge, which straddles the Arctic circle (Figure a). The YFB has complex, low‐relief topography and is underlain by discontinuous permafrost (Gulbrandsen et al, ; Minsley et al, ; Pastick et al, ). It is characterized by hydrologically connected and disconnected lakes (Cooley et al, ), remnant oxbows (Brabets et al, ), and intermittently inundated lakes and wetlands (Jepsen et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…This study deployed AirSWOT and a field team to eastern interior Alaska in June 2015 for testing over the Yukon Flats Basin (YFB), a protected wetland area within the Yukon Flats National Wildlife Refuge, which straddles the Arctic circle (Figure a). The YFB has complex, low‐relief topography and is underlain by discontinuous permafrost (Gulbrandsen et al, ; Minsley et al, ; Pastick et al, ). It is characterized by hydrologically connected and disconnected lakes (Cooley et al, ), remnant oxbows (Brabets et al, ), and intermittently inundated lakes and wetlands (Jepsen et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…Airborne and spaceborne remote sensors can easily cover broad areas (Romanovsky et al 2010, Hu et al 2021. Machine learning models can assist in predicting ALT and other related features from specific measurement locations in cold regions across a wider area (Panda et al 2012, Pastick et al 2015, Gulbrandsen et al 2016, Shi et al 2018, Whitley et al 2018, Baral and Haq 2020. To strengthen these models, inputs such as multispectral (Oldenborger et al 2022) and hyperspectral (Anderson et al 2019) remote sensing imagery, airborne geophysics (Jorgenson and Grosse 2016), terrestrial laser scanning (Anders et al 2020), light detection and ranging (LiDAR; Brown et al 2016), normalized difference vegetation index (NDVI; Beck et al 2015), and vegetation data (Heijmans et al 2022) can be utilized.…”
Section: Introductionmentioning
confidence: 99%
“…(2012) and Gulbrandsen et al. (2016) used airborne electromagnetic (AEM) surveys to delineate taliks below lakes and rivers in a discontinuous permafrost environment in the Yukon Flats, Alaska. While AEM surveys cover a large area, they provide less detail in comparison to ground ERT surveys on permafrost and unfrozen zones below water bodies.…”
Section: Introductionmentioning
confidence: 99%
“…GPR, e.g., has been used in a few studies to determine the active layer thickness beneath arctic streams (Bradford et al, 2010;Brosten et al, 2009) and to identify the features of river taliks (Steven et al, 1998). In addition, Minsley et al (2012) and Gulbrandsen et al (2016) used airborne electromagnetic (AEM) surveys to delineate taliks below lakes and rivers in a discontinuous permafrost environment in the Yukon Flats, Alaska. While AEM surveys cover a large area, they provide less detail in comparison to ground ERT surveys on permafrost and unfrozen zones below water bodies.…”
mentioning
confidence: 99%