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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Published in:Remote Sensing
Main Authors: Pedro Freitas, Gonçalo Vieira, João Canário, Diogo Folhas, Warwick F. Vincent
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2019
Subjects:
Online Access:https://doi.org/10.3390/rs11060657
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spelling 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
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