<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>Heterogeneity in ice-wedge permafrost degradation revealed across spatial scales</dc:title><dc:creator>Braun, Katherine N; Andresen, Christian G</dc:creator><dc:corporate_author/><dc:editor/><dc:description>Permafrost thaw exhibits an array of spatially heterogenous patterns. As the Arctic continues to warm, those
spatial patterns of permafrost thaw, or degradation, are becoming increasingly intricate and dynamic. In
particular, ice-wedge permafrost degradation contains a high degree of spatial heterogeneity as ice wedges
transition through undegraded, degraded, and stabilized stages. Developing accurate remote sensing methods for
characterizing degradation will better allow us to monitor and forecast Arctic landscape evolution and associated
land-atmosphere carbon-climate interactions. In this study, we (i) characterized ice-wedge degradation stages
across a regional scale using a novel hydrogeomorphic approach. Then, we (ii) assessed the heterogeneity of
degradation from meter- to kilometer-scales, and (iii) identified landscape properties associated with degradation
patterns.
We leveraged the unique spectral and geometric properties of ice-wedge degradation stages to map those
stages across 366 km2 of the Arctic Coastal Plain near Prudhoe Bay, Alaska in sub-meter resolution Worldview-2
satellite imagery. Then, we validated the maps with in-situ observations, airborne LIDAR, and drone multispectral
surveys. We evaluated spatial heterogeneity in ice-wedge degradation through a clustering approach.
Specifically, we grouped regions into hydrogeomorphic clusters defined by similarities in trough widths and
flooding, which reflect distinct degradation stages. This analysis revealed that ice-wedge degradation is heterogeneous
across both meter and kilometer scales. At the meter scale, a single ice-wedge polygon is generally
bounded by varied degradation stages. In addition, the most advanced stages of degradation occur in areas of low
trough relative elevation and at the junctions between troughs. At the kilometer-scale, distinct clustering of
degradation stages was identified across the region and linked to spatial patterns in topography: regional clusters
of advanced degradation occurred in higher elevation areas. The millennial-scale evolution of the landscape has
resulted in heterogeneous topographic, hydrologic, and cryogenic characteristics; these varied features exhibit
diverse responses to warming events, which reflect the dynamic interplay that occurs between permafrost
landscapes and climate change.</dc:description><dc:publisher>ELSEVIER</dc:publisher><dc:date>2024-09-01</dc:date><dc:nsf_par_id>10549989</dc:nsf_par_id><dc:journal_name>Remote Sensing of Environment</dc:journal_name><dc:journal_volume>311</dc:journal_volume><dc:journal_issue>C</dc:journal_issue><dc:page_range_or_elocation>114299</dc:page_range_or_elocation><dc:issn>0034-4257</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.1016/j.rse.2024.114299</dc:doi><dcq:identifierAwardId>2311075</dcq:identifierAwardId><dc:subject>Permafrost</dc:subject><dc:subject>Ice-wedge</dc:subject><dc:subject>Heterogeneity</dc:subject><dc:subject>Degradation</dc:subject><dc:subject>Mapping</dc:subject><dc:subject>Climate change</dc:subject><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>