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Mapping Arctic Lake Ice Backscatter Anomalies Using Sentinel-1 Time Series on Google Earth Engine
Content Provider | MDPI |
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Author | Pointner, Georg Bartsch, Annett |
Copyright Year | 2021 |
Abstract | Seepage of geological methane through sediments of Arctic lakes might contribute conceivably to the atmospheric methane budget. However, the abundance and precise locations of such seeps are poorly quantified. For Lake Neyto, one of the largest lakes on the Yamal Peninsula in Northwestern Siberia, temporally expanding regions of anomalously low backscatter in C-band SAR imagery acquired in late winter and spring have been suggested to be related to seepage of methane from hydrocarbon reservoirs. However, this hypothesis has not been verified using in-situ observations so far. Similar anomalies have also been identified for other lakes on Yamal, but it is still uncertain whether or how many of them are related to methane seepage. This study aimed to document similar lake ice backscatter anomalies on a regional scale over four study regions (the Yamal Peninsula and Tazovskiy Peninsulas; the Lena Delta in Russia; the National Petroleum Reserve Alaska) during different years using a time series based approach on Google Earth Engine (GEE) that quantifies changes of |
Starting Page | 1626 |
e-ISSN | 20724292 |
DOI | 10.3390/rs13091626 |
Journal | Remote Sensing |
Issue Number | 9 |
Volume Number | 13 |
Language | English |
Publisher | MDPI |
Publisher Date | 2021-04-21 |
Access Restriction | Open |
Subject Keyword | Remote Sensing Imaging Science Arctic Lake Ice Sar Change Detection Methane Yamal Permafrost Google Earth Engine |
Content Type | Text |
Resource Type | Article |