{"query_echo":{"q":"","filters":{"geography":["northern permafrost"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'northern permafrost' for facet 'geography' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=northern+permafrost","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"sei-000188","url":"https://climateinsightsdirectory.org/document/sei-000188","title":"Tracking rapid permafrost thaw through time","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2022-10-20","source_url":"https://www.sei.org/publications/tracking-rapid-permafrost-thaw-through-time/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research demonstrates that site-specific CNN models can effectively detect retrogressive thaw slumps (RTS) using Sentinel-2 satellite data, achieving precision, recall, and F1 values above 0.8. While this approach enables the creation of time series data to approximate greenhouse gas emissions from rapid permafrost thaw, current results show no clear trends due to the 10 m resolution of the satellite data and a lack of diverse validated training data.","ai_generated":true,"unit":"sei-000188#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Site-specific convolutional neural network (CNN) models using Sentinel-2 satellite data can produce time series data on retrogressive thaw slump (RTS) development, which facilitates the approximation of associated greenhouse gas emissions. For the assessed sites, these models achieved precision, recall, and F1 values greater than 0.8.","ai_generated":true,"unit":"sei-000188#insight-1","date_modified":"2026-10-23"},{"text":"Current analysis of short time series does not show clear trends in RTS development, a limitation attributed to the 10 m resolution of Sentinel-2 data and the limited availability and diversity of validated training data.","ai_generated":true,"unit":"sei-000188#insight-2","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","cryosphere"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["methodological assessment"]}]}