Tracking changes in inundation extent of a boreal wetland in Alaska using L-band SAR

The NASA Arctic Boreal Vulnerability Experiment (ABoVE) [1] has been collecting extensive spaceborne, airborne, and field-based measurements in the boreal regions of western North America to develop a better understanding of the vulnerability and resilience of these ecosystems. Now half-way through...

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Published in:IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
Main Authors: Chapman, Bruce, Kasischke, Eric S., French, Nancy, Rupp, Danielle, Kane, Evan
Format: Text
Language:unknown
Published: Digital Commons @ Michigan Tech 2020
Subjects:
Online Access:https://digitalcommons.mtu.edu/michigantech-p/16695
https://doi.org/10.1109/IGARSS39084.2020.9324168
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spelling ftmichigantuniv:oai:digitalcommons.mtu.edu:michigantech-p-35996 2023-05-15T15:08:38+02:00 Tracking changes in inundation extent of a boreal wetland in Alaska using L-band SAR Chapman, Bruce Kasischke, Eric S. French, Nancy Rupp, Danielle Kane, Evan 2020-09-26T07:00:00Z https://digitalcommons.mtu.edu/michigantech-p/16695 https://doi.org/10.1109/IGARSS39084.2020.9324168 unknown Digital Commons @ Michigan Tech https://digitalcommons.mtu.edu/michigantech-p/16695 https://doi.org/10.1109/IGARSS39084.2020.9324168 Michigan Tech Publications ABoVE NISAR wetlands text 2020 ftmichigantuniv https://doi.org/10.1109/IGARSS39084.2020.9324168 2023-01-05T18:49:03Z The NASA Arctic Boreal Vulnerability Experiment (ABoVE) [1] has been collecting extensive spaceborne, airborne, and field-based measurements in the boreal regions of western North America to develop a better understanding of the vulnerability and resilience of these ecosystems. Now half-way through this ambitious 10-year experiment, unique time series measurements of various kinds (airborne sensor, in situ field measurements) are now available. The NASA-ISRO Synthetic Aperture Radar (NISAR) mission [3] has a requirement to measure inundation extent in wetland areas from the L-band SAR data that it will be collecting worldwide at 12-day intervals, after it is launched in 2022. The NISAR project is evaluating Cal/Val sites for validating its science requirements, including the wetlands in the Tanana River floodplain in the Bonanza Creek Experimental Forest (BCEF), 20 km southwest of Fairbanks [2]. This area includes a long-term research project funded by NSF and USGS (the Alaska Peatland Experiment - APEX) where measurements have been collected since 2004 to study processes controlling carbon storage in this moderately rich fen. In this paper, we examine the L-band UAVSAR airborne SAR data that has been acquired over wetlands in this region since 2017, compare these data against in situ estimates of inundation extent for this area, and classify the UAVSAR data into inundation-related classes. Text Arctic Alaska Michigan Technological University: Digital Commons @ Michigan Tech Arctic Bonanza ENVELOPE(-119.820,-119.820,55.917,55.917) Fairbanks IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium 5073 5076
institution Open Polar
collection Michigan Technological University: Digital Commons @ Michigan Tech
op_collection_id ftmichigantuniv
language unknown
topic ABoVE
NISAR
wetlands
spellingShingle ABoVE
NISAR
wetlands
Chapman, Bruce
Kasischke, Eric S.
French, Nancy
Rupp, Danielle
Kane, Evan
Tracking changes in inundation extent of a boreal wetland in Alaska using L-band SAR
topic_facet ABoVE
NISAR
wetlands
description The NASA Arctic Boreal Vulnerability Experiment (ABoVE) [1] has been collecting extensive spaceborne, airborne, and field-based measurements in the boreal regions of western North America to develop a better understanding of the vulnerability and resilience of these ecosystems. Now half-way through this ambitious 10-year experiment, unique time series measurements of various kinds (airborne sensor, in situ field measurements) are now available. The NASA-ISRO Synthetic Aperture Radar (NISAR) mission [3] has a requirement to measure inundation extent in wetland areas from the L-band SAR data that it will be collecting worldwide at 12-day intervals, after it is launched in 2022. The NISAR project is evaluating Cal/Val sites for validating its science requirements, including the wetlands in the Tanana River floodplain in the Bonanza Creek Experimental Forest (BCEF), 20 km southwest of Fairbanks [2]. This area includes a long-term research project funded by NSF and USGS (the Alaska Peatland Experiment - APEX) where measurements have been collected since 2004 to study processes controlling carbon storage in this moderately rich fen. In this paper, we examine the L-band UAVSAR airborne SAR data that has been acquired over wetlands in this region since 2017, compare these data against in situ estimates of inundation extent for this area, and classify the UAVSAR data into inundation-related classes.
format Text
author Chapman, Bruce
Kasischke, Eric S.
French, Nancy
Rupp, Danielle
Kane, Evan
author_facet Chapman, Bruce
Kasischke, Eric S.
French, Nancy
Rupp, Danielle
Kane, Evan
author_sort Chapman, Bruce
title Tracking changes in inundation extent of a boreal wetland in Alaska using L-band SAR
title_short Tracking changes in inundation extent of a boreal wetland in Alaska using L-band SAR
title_full Tracking changes in inundation extent of a boreal wetland in Alaska using L-band SAR
title_fullStr Tracking changes in inundation extent of a boreal wetland in Alaska using L-band SAR
title_full_unstemmed Tracking changes in inundation extent of a boreal wetland in Alaska using L-band SAR
title_sort tracking changes in inundation extent of a boreal wetland in alaska using l-band sar
publisher Digital Commons @ Michigan Tech
publishDate 2020
url https://digitalcommons.mtu.edu/michigantech-p/16695
https://doi.org/10.1109/IGARSS39084.2020.9324168
long_lat ENVELOPE(-119.820,-119.820,55.917,55.917)
geographic Arctic
Bonanza
Fairbanks
geographic_facet Arctic
Bonanza
Fairbanks
genre Arctic
Alaska
genre_facet Arctic
Alaska
op_source Michigan Tech Publications
op_relation https://digitalcommons.mtu.edu/michigantech-p/16695
https://doi.org/10.1109/IGARSS39084.2020.9324168
op_doi https://doi.org/10.1109/IGARSS39084.2020.9324168
container_title IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
container_start_page 5073
op_container_end_page 5076
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