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Announcements
This paper presents the novel use of convolutional neural network (CNN)-based machine learning models for remotely detecting and monitoring retrogressive thaw slumps (RTS) in high latitude northern permafrost using open-source Sentinel-2 satellite data.
RTS are indicative of rapid permafrost thaw (RPT), the accelerated release of greenhouse gases (GHG) and potentially runaway changes in the cryosphere. Attempts to quantify GHG emissions from RTS are inhibited by a lack of information on RTS incidence and area affected.
The authors show that site-specific CNN models can be used to produce time series data on rapid RTS development that allow for the approximation of associated GHG emissions. For the sites assessed they achieve good model precision, recall and F1 values of > 0.8. The short time series studied so far do not reveal clear trends in RTS development. These limitations arise from the low resolution of Sentinel-2 data (10 m) and limited availability and diversity of validated training data.
The capability shown here is the first step towards achieving automated monitoring of rapid environmental change in permafrost using satellite data. This work highlights the need for ready access to open-source high resolution satellite data and permafrost field data if the potential of such approaches is to be fully realized.
A permafrost “thaw slump” on Herschel Island, Canada. Photo Credit: GRID-Arendal / Flickr
Project / Using innovative technologies we are investigating new methods to measure and monitor soil organic carbon stocks quickly and at scale.
Past event / SEI researchers will present their project and initial findings on the potential for satellite data to support the use of traditional ecological knowledge.
Project / This project develops a tool for AI-powered text analysis to be tested in systematic evidence synthesis reviews of research and policy papers.
Project / The Resilient Coasts Caribbean Sea project will develop Living Labs for coastal ecosystem management using nature-based solutions.
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