Caiyun Zhang , Thomas A. Douglas , David Brodylo , M. Torre Jorgenson , Lauren V. Bosche
{"title":"绘制阿拉斯加内陆永久冻土融化阶段图","authors":"Caiyun Zhang , Thomas A. Douglas , David Brodylo , M. Torre Jorgenson , Lauren V. Bosche","doi":"10.1016/j.rse.2025.114941","DOIUrl":null,"url":null,"abstract":"<div><div>Permafrost degradation has been recognized for decades due to climate warming, wildfire, and infrastructure development. However, a large-scale characterization of permafrost thaw status has not been attempted before due to difficulties in ground data collection, inherent complications and heterogeneity of thaw in ecosystem-protected permafrost, and constraints of remote sensor observations and process-based modeling techniques. Here we made a first effort to map the status of permafrost thaw across a large ice-rich lowland fire-influenced landscape (2500 km<sup>2</sup>) in interior Alaska by developing a new protocol and combining decades of field measurements, repeat airborne lidar, spaceborne WorldView-2, Sentinel-2, Landsat time series products, and a terrain elevation dataset. The repeat lidar and fine-resolution imagery offered a key to solving the bottleneck issue of thaw reference data collection, which further provided an opportunity to track post-fire thaw caused by six large fires in the past 25 years in four stages over time: old thaw, lateral thaw, vertical shallow thaw and vertical deep thaw. The developed protocol achieved an overall accuracy of 79 % in classifying these thaw stages and generated a reasonable thaw pattern mainly controlled by fires and locally modified by other drivers. Identifying degradation patterns can help understand the permafrost-fire-climate system. The protocol is a valuable alternative to current thermokarst mapping techniques.</div></div>","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":"329 ","pages":"Article 114941"},"PeriodicalIF":11.1000,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mapping permafrost thaw stages in interior Alaska\",\"authors\":\"Caiyun Zhang , Thomas A. Douglas , David Brodylo , M. Torre Jorgenson , Lauren V. Bosche\",\"doi\":\"10.1016/j.rse.2025.114941\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Permafrost degradation has been recognized for decades due to climate warming, wildfire, and infrastructure development. However, a large-scale characterization of permafrost thaw status has not been attempted before due to difficulties in ground data collection, inherent complications and heterogeneity of thaw in ecosystem-protected permafrost, and constraints of remote sensor observations and process-based modeling techniques. Here we made a first effort to map the status of permafrost thaw across a large ice-rich lowland fire-influenced landscape (2500 km<sup>2</sup>) in interior Alaska by developing a new protocol and combining decades of field measurements, repeat airborne lidar, spaceborne WorldView-2, Sentinel-2, Landsat time series products, and a terrain elevation dataset. The repeat lidar and fine-resolution imagery offered a key to solving the bottleneck issue of thaw reference data collection, which further provided an opportunity to track post-fire thaw caused by six large fires in the past 25 years in four stages over time: old thaw, lateral thaw, vertical shallow thaw and vertical deep thaw. The developed protocol achieved an overall accuracy of 79 % in classifying these thaw stages and generated a reasonable thaw pattern mainly controlled by fires and locally modified by other drivers. Identifying degradation patterns can help understand the permafrost-fire-climate system. The protocol is a valuable alternative to current thermokarst mapping techniques.</div></div>\",\"PeriodicalId\":417,\"journal\":{\"name\":\"Remote Sensing of Environment\",\"volume\":\"329 \",\"pages\":\"Article 114941\"},\"PeriodicalIF\":11.1000,\"publicationDate\":\"2025-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Remote Sensing of Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0034425725003451\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing of Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0034425725003451","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Permafrost degradation has been recognized for decades due to climate warming, wildfire, and infrastructure development. However, a large-scale characterization of permafrost thaw status has not been attempted before due to difficulties in ground data collection, inherent complications and heterogeneity of thaw in ecosystem-protected permafrost, and constraints of remote sensor observations and process-based modeling techniques. Here we made a first effort to map the status of permafrost thaw across a large ice-rich lowland fire-influenced landscape (2500 km2) in interior Alaska by developing a new protocol and combining decades of field measurements, repeat airborne lidar, spaceborne WorldView-2, Sentinel-2, Landsat time series products, and a terrain elevation dataset. The repeat lidar and fine-resolution imagery offered a key to solving the bottleneck issue of thaw reference data collection, which further provided an opportunity to track post-fire thaw caused by six large fires in the past 25 years in four stages over time: old thaw, lateral thaw, vertical shallow thaw and vertical deep thaw. The developed protocol achieved an overall accuracy of 79 % in classifying these thaw stages and generated a reasonable thaw pattern mainly controlled by fires and locally modified by other drivers. Identifying degradation patterns can help understand the permafrost-fire-climate system. The protocol is a valuable alternative to current thermokarst mapping techniques.
期刊介绍:
Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing.
The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques.
RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.