Identification of a Threshold Minimum Area for Reflectance Retrieval from Thermokarst Lakes and Ponds Using Full-Pixel Data from Sentinel-2
Thermokarst waterbodies caused by permafrost thawing and degradation are ubiquitous in many subarctic and Arctic regions. They are globally important components of the biogeochemical carbon cycle and have potential feedback effects on climate. These northern waters are mostly small lakes and ponds,...
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ftmdpi:oai:mdpi.com:/2072-4292/11/6/657/ 2023-08-20T04:05:01+02:00 Identification of a Threshold Minimum Area for Reflectance Retrieval from Thermokarst Lakes and Ponds Using Full-Pixel Data from Sentinel-2 Pedro Freitas Gonçalo Vieira João Canário Diogo Folhas Warwick F. Vincent agris 2019-03-18 application/pdf https://doi.org/10.3390/rs11060657 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs11060657 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 11; Issue 6; Pages: 657 lakes ponds permafrost reflectance satellite Sentinel-2 subarctic Unmanned Aerial Systems Text 2019 ftmdpi https://doi.org/10.3390/rs11060657 2023-07-31T22:07:28Z Thermokarst waterbodies caused by permafrost thawing and degradation are ubiquitous in many subarctic and Arctic regions. They are globally important components of the biogeochemical carbon cycle and have potential feedback effects on climate. These northern waters are mostly small lakes and ponds, and although they may be mapped using very high-resolution satellites or aerial photography, these approaches are generally not suitable for monitoring purposes, due to the cost and limited availability of such images. In this study we evaluated the potential use of widely available high-resolution imagery from Sentinel-2 (S2) for the characterization of the spectral reflectance of thermokarst lakes and ponds. Specifically, we aimed to define the minimum lake area that could be reliably imaged, and to identify challenges and solutions for remote sensing of such waters in the future. The study was conducted in subarctic Canada, in the vicinity of Whapmagoostui-Kuujjuarapik (Nunavik, Québec), an area in the sporadic permafrost zone with numerous thermokarst waterbodies that vary greatly in size. Ground truthing lake reflectance data were collected using an Unmanned Aerial System (UAS) fitted with a multispectral camera that collected images at 13 cm resolution. The results were compared with reflectance from Sentinel-2 images, and the effect of lake area on the reflectance response was assessed. Our results show that Sentinel-2 imagery was suitable for waterbodies larger than 350 m2 once their boundaries were defined, which in the two test sites would allow monitoring from 11% to 30% of the waterbodies and 73% to 85% of the total lake area. Challenges for remote sensing of small lakes include the confounding effects of water reflection (both direct radiation and diffuse), wind and shadow. Given the small threshold area and frequent revisit time, Sentinel-2 provides a valuable approach towards the continuous monitoring of waterbodies, including ponds and small lakes such as those found in thermokarst landscapes. UASs ... Text Arctic Kuujjuarapik permafrost Subarctic Thermokarst Nunavik MDPI Open Access Publishing Arctic Nunavik Canada Kuujjuarapik ENVELOPE(-77.762,-77.762,55.276,55.276) Whapmagoostui ENVELOPE(-77.750,-77.750,55.250,55.250) Remote Sensing 11 6 657 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
lakes ponds permafrost reflectance satellite Sentinel-2 subarctic Unmanned Aerial Systems |
spellingShingle |
lakes ponds permafrost reflectance satellite Sentinel-2 subarctic Unmanned Aerial Systems Pedro Freitas Gonçalo Vieira João Canário Diogo Folhas Warwick F. Vincent Identification of a Threshold Minimum Area for Reflectance Retrieval from Thermokarst Lakes and Ponds Using Full-Pixel Data from Sentinel-2 |
topic_facet |
lakes ponds permafrost reflectance satellite Sentinel-2 subarctic Unmanned Aerial Systems |
description |
Thermokarst waterbodies caused by permafrost thawing and degradation are ubiquitous in many subarctic and Arctic regions. They are globally important components of the biogeochemical carbon cycle and have potential feedback effects on climate. These northern waters are mostly small lakes and ponds, and although they may be mapped using very high-resolution satellites or aerial photography, these approaches are generally not suitable for monitoring purposes, due to the cost and limited availability of such images. In this study we evaluated the potential use of widely available high-resolution imagery from Sentinel-2 (S2) for the characterization of the spectral reflectance of thermokarst lakes and ponds. Specifically, we aimed to define the minimum lake area that could be reliably imaged, and to identify challenges and solutions for remote sensing of such waters in the future. The study was conducted in subarctic Canada, in the vicinity of Whapmagoostui-Kuujjuarapik (Nunavik, Québec), an area in the sporadic permafrost zone with numerous thermokarst waterbodies that vary greatly in size. Ground truthing lake reflectance data were collected using an Unmanned Aerial System (UAS) fitted with a multispectral camera that collected images at 13 cm resolution. The results were compared with reflectance from Sentinel-2 images, and the effect of lake area on the reflectance response was assessed. Our results show that Sentinel-2 imagery was suitable for waterbodies larger than 350 m2 once their boundaries were defined, which in the two test sites would allow monitoring from 11% to 30% of the waterbodies and 73% to 85% of the total lake area. Challenges for remote sensing of small lakes include the confounding effects of water reflection (both direct radiation and diffuse), wind and shadow. Given the small threshold area and frequent revisit time, Sentinel-2 provides a valuable approach towards the continuous monitoring of waterbodies, including ponds and small lakes such as those found in thermokarst landscapes. UASs ... |
format |
Text |
author |
Pedro Freitas Gonçalo Vieira João Canário Diogo Folhas Warwick F. Vincent |
author_facet |
Pedro Freitas Gonçalo Vieira João Canário Diogo Folhas Warwick F. Vincent |
author_sort |
Pedro Freitas |
title |
Identification of a Threshold Minimum Area for Reflectance Retrieval from Thermokarst Lakes and Ponds Using Full-Pixel Data from Sentinel-2 |
title_short |
Identification of a Threshold Minimum Area for Reflectance Retrieval from Thermokarst Lakes and Ponds Using Full-Pixel Data from Sentinel-2 |
title_full |
Identification of a Threshold Minimum Area for Reflectance Retrieval from Thermokarst Lakes and Ponds Using Full-Pixel Data from Sentinel-2 |
title_fullStr |
Identification of a Threshold Minimum Area for Reflectance Retrieval from Thermokarst Lakes and Ponds Using Full-Pixel Data from Sentinel-2 |
title_full_unstemmed |
Identification of a Threshold Minimum Area for Reflectance Retrieval from Thermokarst Lakes and Ponds Using Full-Pixel Data from Sentinel-2 |
title_sort |
identification of a threshold minimum area for reflectance retrieval from thermokarst lakes and ponds using full-pixel data from sentinel-2 |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
url |
https://doi.org/10.3390/rs11060657 |
op_coverage |
agris |
long_lat |
ENVELOPE(-77.762,-77.762,55.276,55.276) ENVELOPE(-77.750,-77.750,55.250,55.250) |
geographic |
Arctic Nunavik Canada Kuujjuarapik Whapmagoostui |
geographic_facet |
Arctic Nunavik Canada Kuujjuarapik Whapmagoostui |
genre |
Arctic Kuujjuarapik permafrost Subarctic Thermokarst Nunavik |
genre_facet |
Arctic Kuujjuarapik permafrost Subarctic Thermokarst Nunavik |
op_source |
Remote Sensing; Volume 11; Issue 6; Pages: 657 |
op_relation |
Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs11060657 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs11060657 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
6 |
container_start_page |
657 |
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