This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …

Retrogressive thaw slumps (RTSs) are among the most dynamic landforms in permafrost
areas, and their formation can be attributed to the thawing of ice-rich permafrost. The spatial …

Microtopography plays an important role in various ecological, hydrologic, and
biogeochemical processes. However, quantifying the characteristics of microtopography …

In a warming Arctic, permafrost-related disturbances, such as retrogressive thaw slumps
(RTS), are becoming more abundant and dynamic, with serious implications for permafrost …

State-of-the-art deep learning technology has been successfully applied to relatively small
selected areas of very high spatial resolution (0.15 and 0.25 m) optical aerial imagery …

Deep learning has been used for map** retrogressive thaw slumps and other periglacial
landforms but its application is still limited to local study areas. To understand the accuracy …

Ice wedges are a common form of massive ground ice that typically occupy 10–30% of the
volume of upper permafrost in the Arctic and are particularly vulnerable to thawing from …

The utility of sheer volumes of very high spatial resolution (VHSR) commercial imagery in
map** the Arctic region is new and actively evolving. Commercial satellite sensors …

In response to increasing Arctic temperatures, ice-rich permafrost landscapes are
undergoing rapid changes. In permafrost lowlands, polygonal ice wedges are especially …

Deep learning (DL) convolutional neural networks (CNNs) have been rapidly adapted in
very high spatial resolution (VHSR) satellite image analysis. DLCNN-based computer …