Remote Sensing-Based Statistical Approach for Defining Drained Lake Basins in a Continuous Permafrost Region, North Slope of Alaska
Lake formation and drainage are pervasive phenomena in permafrost regions. Drained lake basins (DLBs) are often the most common landforms in lowland permafrost regions in the Arctic (50% to 75% of the landscape). However, detailed assessments of DLB distribution and abundance are limited. In this st...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/13/2539 |
| _version_ | 1827600921217990656 |
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| author | Helena Bergstedt Benjamin M. Jones Kenneth Hinkel Louise Farquharson Benjamin V. Gaglioti Andrew D. Parsekian Mikhail Kanevskiy Noriaki Ohara Amy L. Breen Rodrigo C. Rangel Guido Grosse Ingmar Nitze |
| author_facet | Helena Bergstedt Benjamin M. Jones Kenneth Hinkel Louise Farquharson Benjamin V. Gaglioti Andrew D. Parsekian Mikhail Kanevskiy Noriaki Ohara Amy L. Breen Rodrigo C. Rangel Guido Grosse Ingmar Nitze |
| author_sort | Helena Bergstedt |
| collection | DOAJ |
| description | Lake formation and drainage are pervasive phenomena in permafrost regions. Drained lake basins (DLBs) are often the most common landforms in lowland permafrost regions in the Arctic (50% to 75% of the landscape). However, detailed assessments of DLB distribution and abundance are limited. In this study, we present a novel and scalable remote sensing-based approach to identifying DLBs in lowland permafrost regions, using the North Slope of Alaska as a case study. We validated this first North Slope-wide DLB data product against several previously published sub-regional scale datasets and manually classified points. The study area covered >71,000 km<sup>2</sup>, including a >39,000 km<sup>2</sup> area not previously covered in existing DLB datasets. Our approach used Landsat-8 multispectral imagery and ArcticDEM data to derive a pixel-by-pixel statistical assessment of likelihood of DLB occurrence in sub-regions with different permafrost and periglacial landscape conditions, as well as to quantify aerial coverage of DLBs on the North Slope of Alaska. The results were consistent with previously published regional DLB datasets (up to 87% agreement) and showed high agreement with manually classified random points (64.4–95.5% for DLB and 83.2–95.4% for non-DLB areas). Validation of the remote sensing-based statistical approach on the North Slope of Alaska indicated that it may be possible to extend this methodology to conduct a comprehensive assessment of DLBs in pan-Arctic lowland permafrost regions. Better resolution of the spatial distribution of DLBs in lowland permafrost regions is important for quantitative studies on landscape diversity, wildlife habitat, permafrost, hydrology, geotechnical conditions, and high-latitude carbon cycling. |
| first_indexed | 2024-03-09T04:44:55Z |
| format | Article |
| id | doaj.art-645b4023f21b4944a88dd59cd2cc5bc7 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T04:44:55Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-645b4023f21b4944a88dd59cd2cc5bc72023-12-03T13:16:28ZengMDPI AGRemote Sensing2072-42922021-06-011313253910.3390/rs13132539Remote Sensing-Based Statistical Approach for Defining Drained Lake Basins in a Continuous Permafrost Region, North Slope of AlaskaHelena Bergstedt0Benjamin M. Jones1Kenneth Hinkel2Louise Farquharson3Benjamin V. Gaglioti4Andrew D. Parsekian5Mikhail Kanevskiy6Noriaki Ohara7Amy L. Breen8Rodrigo C. Rangel9Guido Grosse10Ingmar Nitze11Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, AK 99775, USAInstitute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, AK 99775, USADepartment of Geological and Mining Engineering and Sciences, Michigan Technological University, Houghton, MI 49931, USAGeophysical Institute, University of Alaska Fairbanks, Fairbanks, AK 99775, USAInstitute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, AK 99775, USADepartment of Geology and Geophysics, University of Wyoming, Laramie, WY 82071, USAInstitute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, AK 99775, USADepartment of Civil & Architectural Engineering, University of Wyoming, Laramie, WY 82071, USAInternational Arctic Research Centre, University of Alaska Fairbanks, Fairbanks, AK 99775, USADepartment of Geology and Geophysics, University of Wyoming, Laramie, WY 82071, USAAlfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Permafrost Research Section, 14473 Potsdam, GermanyAlfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Permafrost Research Section, 14473 Potsdam, GermanyLake formation and drainage are pervasive phenomena in permafrost regions. Drained lake basins (DLBs) are often the most common landforms in lowland permafrost regions in the Arctic (50% to 75% of the landscape). However, detailed assessments of DLB distribution and abundance are limited. In this study, we present a novel and scalable remote sensing-based approach to identifying DLBs in lowland permafrost regions, using the North Slope of Alaska as a case study. We validated this first North Slope-wide DLB data product against several previously published sub-regional scale datasets and manually classified points. The study area covered >71,000 km<sup>2</sup>, including a >39,000 km<sup>2</sup> area not previously covered in existing DLB datasets. Our approach used Landsat-8 multispectral imagery and ArcticDEM data to derive a pixel-by-pixel statistical assessment of likelihood of DLB occurrence in sub-regions with different permafrost and periglacial landscape conditions, as well as to quantify aerial coverage of DLBs on the North Slope of Alaska. The results were consistent with previously published regional DLB datasets (up to 87% agreement) and showed high agreement with manually classified random points (64.4–95.5% for DLB and 83.2–95.4% for non-DLB areas). Validation of the remote sensing-based statistical approach on the North Slope of Alaska indicated that it may be possible to extend this methodology to conduct a comprehensive assessment of DLBs in pan-Arctic lowland permafrost regions. Better resolution of the spatial distribution of DLBs in lowland permafrost regions is important for quantitative studies on landscape diversity, wildlife habitat, permafrost, hydrology, geotechnical conditions, and high-latitude carbon cycling.https://www.mdpi.com/2072-4292/13/13/2539LandsatArcticDEMTasseled CapArcticdrained lake basinslakes |
| spellingShingle | Helena Bergstedt Benjamin M. Jones Kenneth Hinkel Louise Farquharson Benjamin V. Gaglioti Andrew D. Parsekian Mikhail Kanevskiy Noriaki Ohara Amy L. Breen Rodrigo C. Rangel Guido Grosse Ingmar Nitze Remote Sensing-Based Statistical Approach for Defining Drained Lake Basins in a Continuous Permafrost Region, North Slope of Alaska Remote Sensing Landsat ArcticDEM Tasseled Cap Arctic drained lake basins lakes |
| title | Remote Sensing-Based Statistical Approach for Defining Drained Lake Basins in a Continuous Permafrost Region, North Slope of Alaska |
| title_full | Remote Sensing-Based Statistical Approach for Defining Drained Lake Basins in a Continuous Permafrost Region, North Slope of Alaska |
| title_fullStr | Remote Sensing-Based Statistical Approach for Defining Drained Lake Basins in a Continuous Permafrost Region, North Slope of Alaska |
| title_full_unstemmed | Remote Sensing-Based Statistical Approach for Defining Drained Lake Basins in a Continuous Permafrost Region, North Slope of Alaska |
| title_short | Remote Sensing-Based Statistical Approach for Defining Drained Lake Basins in a Continuous Permafrost Region, North Slope of Alaska |
| title_sort | remote sensing based statistical approach for defining drained lake basins in a continuous permafrost region north slope of alaska |
| topic | Landsat ArcticDEM Tasseled Cap Arctic drained lake basins lakes |
| url | https://www.mdpi.com/2072-4292/13/13/2539 |
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