Vegetation shadow casts impact remotely sensed reflectance from permafrost thaw ponds in the subarctic forest-tundra zone

Thermokarst lakes and ponds are a common landscape feature resulting from permafrost thaw, but their intense greenhouse gas emissions are still poorly constrained as a feedback mechanism for global warming because of their diversity, abundance, and remoteness. Thermokarst waterbodies may be small an...

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Published in:Environmental Earth Sciences
Main Authors: Freitas, Pedro, Vieira, Gonçalo, Mora, Carla, Canário, João, Vincent, Warwick F.
Format: Article in Journal/Newspaper
Language:English
Published: Springer 2022
Subjects:
Online Access:http://hdl.handle.net/10451/55258
https://doi.org/10.1007/s12665-022-10640-1
id ftunivlisboa:oai:repositorio.ul.pt:10451/55258
record_format openpolar
spelling ftunivlisboa:oai:repositorio.ul.pt:10451/55258 2023-05-15T17:57:34+02:00 Vegetation shadow casts impact remotely sensed reflectance from permafrost thaw ponds in the subarctic forest-tundra zone Freitas, Pedro Vieira, Gonçalo Mora, Carla Canário, João Vincent, Warwick F. 2022-11-28T13:02:56Z http://hdl.handle.net/10451/55258 https://doi.org/10.1007/s12665-022-10640-1 eng eng Springer Portuguese Polar Program – PROPOLAR UIDB/00295/2020 info:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F145278%2F2019/PT https://link.springer.com/article/10.1007/s12665-022-10640-1 Freitas, P., Vieira, G., Mora, C. & Vincent, W. F. (2022). Vegetation shadow casts impact remotely sensed reflectance from permafrost thaw ponds in the subarctic forest-tundra zone. Environmental Earth Sciences, 81(22), 522. https://doi.org/10.1007/s12665-022-10640-1 1866-6280 http://hdl.handle.net/10451/55258 doi:10.1007/s12665-022-10640-1 1866-6299 openAccess http://creativecommons.org/licenses/by/4.0/ CC-BY Shadows Optical remote sensing Thermokarst Unmanned aerial systems Vegetation Lakes article 2022 ftunivlisboa https://doi.org/10.1007/s12665-022-10640-1 2022-11-30T01:05:31Z Thermokarst lakes and ponds are a common landscape feature resulting from permafrost thaw, but their intense greenhouse gas emissions are still poorly constrained as a feedback mechanism for global warming because of their diversity, abundance, and remoteness. Thermokarst waterbodies may be small and optically diverse, posing specifc challenges for optical remote sensing regarding detection, classifcation, and monitoring. This is especially relevant when accounting for external factors that afect water refectance, such as scattering and vegetation shadow casts. In this study, we evaluated the efects of shadowing across optically diverse waterbodies located in the forest–tundra zone of northern Canada. We used ultra-high spatial resolution multispectral data and digital surface models obtained from unmanned aerial systems for modeling and analyzing shadow efects on water refectance at Earth Observation satellite overpass time. Our results show that shadowing causes variations in refectance, reducing the usable area of remotely sensed pixels for waterbody analysis in small lakes and ponds. The efects were greater on brighter and turbid inorganic thermokarst lakes embedded in post-glacial silt–clay marine deposits and littoral sands, where the mean refectance decrease was from -51 to -70%, depending on the wavelength. These efects were also dependent on lake shape and vegetation height and were amplifed in the cold season due to low solar elevations. Remote sensing will increasingly play a key role in assessing thermokarst lake responses and feedbacks to global change, and this study shows the magnitude and sources of optical variations caused by shading that need to be considered in future analyses. info:eu-repo/semantics/publishedVersion Article in Journal/Newspaper permafrost Subarctic Thermokarst Tundra Universidade de Lisboa: repositório.UL Canada Environmental Earth Sciences 81 22
institution Open Polar
collection Universidade de Lisboa: repositório.UL
op_collection_id ftunivlisboa
language English
topic Shadows
Optical remote sensing
Thermokarst
Unmanned aerial systems
Vegetation
Lakes
spellingShingle Shadows
Optical remote sensing
Thermokarst
Unmanned aerial systems
Vegetation
Lakes
Freitas, Pedro
Vieira, Gonçalo
Mora, Carla
Canário, João
Vincent, Warwick F.
Vegetation shadow casts impact remotely sensed reflectance from permafrost thaw ponds in the subarctic forest-tundra zone
topic_facet Shadows
Optical remote sensing
Thermokarst
Unmanned aerial systems
Vegetation
Lakes
description Thermokarst lakes and ponds are a common landscape feature resulting from permafrost thaw, but their intense greenhouse gas emissions are still poorly constrained as a feedback mechanism for global warming because of their diversity, abundance, and remoteness. Thermokarst waterbodies may be small and optically diverse, posing specifc challenges for optical remote sensing regarding detection, classifcation, and monitoring. This is especially relevant when accounting for external factors that afect water refectance, such as scattering and vegetation shadow casts. In this study, we evaluated the efects of shadowing across optically diverse waterbodies located in the forest–tundra zone of northern Canada. We used ultra-high spatial resolution multispectral data and digital surface models obtained from unmanned aerial systems for modeling and analyzing shadow efects on water refectance at Earth Observation satellite overpass time. Our results show that shadowing causes variations in refectance, reducing the usable area of remotely sensed pixels for waterbody analysis in small lakes and ponds. The efects were greater on brighter and turbid inorganic thermokarst lakes embedded in post-glacial silt–clay marine deposits and littoral sands, where the mean refectance decrease was from -51 to -70%, depending on the wavelength. These efects were also dependent on lake shape and vegetation height and were amplifed in the cold season due to low solar elevations. Remote sensing will increasingly play a key role in assessing thermokarst lake responses and feedbacks to global change, and this study shows the magnitude and sources of optical variations caused by shading that need to be considered in future analyses. info:eu-repo/semantics/publishedVersion
format Article in Journal/Newspaper
author Freitas, Pedro
Vieira, Gonçalo
Mora, Carla
Canário, João
Vincent, Warwick F.
author_facet Freitas, Pedro
Vieira, Gonçalo
Mora, Carla
Canário, João
Vincent, Warwick F.
author_sort Freitas, Pedro
title Vegetation shadow casts impact remotely sensed reflectance from permafrost thaw ponds in the subarctic forest-tundra zone
title_short Vegetation shadow casts impact remotely sensed reflectance from permafrost thaw ponds in the subarctic forest-tundra zone
title_full Vegetation shadow casts impact remotely sensed reflectance from permafrost thaw ponds in the subarctic forest-tundra zone
title_fullStr Vegetation shadow casts impact remotely sensed reflectance from permafrost thaw ponds in the subarctic forest-tundra zone
title_full_unstemmed Vegetation shadow casts impact remotely sensed reflectance from permafrost thaw ponds in the subarctic forest-tundra zone
title_sort vegetation shadow casts impact remotely sensed reflectance from permafrost thaw ponds in the subarctic forest-tundra zone
publisher Springer
publishDate 2022
url http://hdl.handle.net/10451/55258
https://doi.org/10.1007/s12665-022-10640-1
geographic Canada
geographic_facet Canada
genre permafrost
Subarctic
Thermokarst
Tundra
genre_facet permafrost
Subarctic
Thermokarst
Tundra
op_relation Portuguese Polar Program – PROPOLAR
UIDB/00295/2020
info:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F145278%2F2019/PT
https://link.springer.com/article/10.1007/s12665-022-10640-1
Freitas, P., Vieira, G., Mora, C. & Vincent, W. F. (2022). Vegetation shadow casts impact remotely sensed reflectance from permafrost thaw ponds in the subarctic forest-tundra zone. Environmental Earth Sciences, 81(22), 522. https://doi.org/10.1007/s12665-022-10640-1
1866-6280
http://hdl.handle.net/10451/55258
doi:10.1007/s12665-022-10640-1
1866-6299
op_rights openAccess
http://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.1007/s12665-022-10640-1
container_title Environmental Earth Sciences
container_volume 81
container_issue 22
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