A High-Resolution Airborne Color-Infrared Camera Water Mask for the NASA ABoVE Campaign
The airborne AirSWOT instrument suite, consisting of an interferometric Ka-band synthetic aperture radar and color-infrared (CIR) camera, was deployed to northern North America in July and August 2017 as part of the NASA Arctic-Boreal Vulnerability Experiment (ABoVE). We present validated, open (i.e...
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ftunivmassamh:oai:scholarworks.umass.edu:cee_faculty_pubs-1841 2023-05-15T14:52:01+02:00 A High-Resolution Airborne Color-Infrared Camera Water Mask for the NASA ABoVE Campaign Kyzivat, Ethan D. Smith, Laurence C. Pitcher, Lincoln H. Fayne, Jessica V. Cooley, Sarah W. Cooper, Matthew G. Topp, Simon N. Langhorst, Theodore Harlan, Merritt E. Horvat, Christopher Gleason, Colin J. Pavelsky, Tamlin M. 2019-01-01T08:00:00Z application/pdf https://scholarworks.umass.edu/cee_faculty_pubs/842 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1841&context=cee_faculty_pubs unknown ScholarWorks@UMass Amherst https://scholarworks.umass.edu/cee_faculty_pubs/842 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1841&context=cee_faculty_pubs http://creativecommons.org/licenses/by/4.0/ CC-BY Civil and Environmental Engineering Faculty Publication Series ABoVE AirSWOT surface water OBIA inland water land cover NDWI scaling lake-size distribution text 2019 ftunivmassamh 2022-01-09T21:35:43Z The airborne AirSWOT instrument suite, consisting of an interferometric Ka-band synthetic aperture radar and color-infrared (CIR) camera, was deployed to northern North America in July and August 2017 as part of the NASA Arctic-Boreal Vulnerability Experiment (ABoVE). We present validated, open (i.e., vegetation-free) surface water masks produced from high-resolution (1 m), co-registered AirSWOT CIR imagery using a semi-automated, object-based water classification. The imagery and resulting high-resolution water masks are available as open-access datasets and support interpretation of AirSWOT radar and other coincident ABoVE image products, including LVIS, UAVSAR, AIRMOSS, AVIRIS-NG, and CFIS. These synergies offer promising potential for multi-sensor analysis of Arctic-Boreal surface water bodies. In total, 3167 km2 of open surface water were mapped from 23,380 km2 of flight lines spanning 23 degrees of latitude and broad environmental gradients. Detected water body sizes range from 0.00004 km2 (40 m2) to 15 km2. Power-law extrapolations are commonly used to estimate the abundance of small lakes from coarser resolution imagery, and our mapped water bodies followed power-law distributions, but only for water bodies greater than 0.34 (±0.13) km2 in area. For water bodies exceeding this size threshold, the coefficients of power-law fits vary for different Arctic-Boreal physiographic terrains (wetland, prairie pothole, lowland river valley, thermokarst, and Canadian Shield). Thus, direct mapping using high-resolution imagery remains the most accurate way to estimate the abundance of small surface water bodies. We conclude that empirical scaling relationships, useful for estimating total trace gas exchange and aquatic habitats on Arctic-Boreal landscapes, are uniquely enabled by high-resolution AirSWOT-like mappings and automated detection methods such as those developed here. Text Arctic Thermokarst University of Massachusetts: ScholarWorks@UMass Amherst Arctic |
institution |
Open Polar |
collection |
University of Massachusetts: ScholarWorks@UMass Amherst |
op_collection_id |
ftunivmassamh |
language |
unknown |
topic |
ABoVE AirSWOT surface water OBIA inland water land cover NDWI scaling lake-size distribution |
spellingShingle |
ABoVE AirSWOT surface water OBIA inland water land cover NDWI scaling lake-size distribution Kyzivat, Ethan D. Smith, Laurence C. Pitcher, Lincoln H. Fayne, Jessica V. Cooley, Sarah W. Cooper, Matthew G. Topp, Simon N. Langhorst, Theodore Harlan, Merritt E. Horvat, Christopher Gleason, Colin J. Pavelsky, Tamlin M. A High-Resolution Airborne Color-Infrared Camera Water Mask for the NASA ABoVE Campaign |
topic_facet |
ABoVE AirSWOT surface water OBIA inland water land cover NDWI scaling lake-size distribution |
description |
The airborne AirSWOT instrument suite, consisting of an interferometric Ka-band synthetic aperture radar and color-infrared (CIR) camera, was deployed to northern North America in July and August 2017 as part of the NASA Arctic-Boreal Vulnerability Experiment (ABoVE). We present validated, open (i.e., vegetation-free) surface water masks produced from high-resolution (1 m), co-registered AirSWOT CIR imagery using a semi-automated, object-based water classification. The imagery and resulting high-resolution water masks are available as open-access datasets and support interpretation of AirSWOT radar and other coincident ABoVE image products, including LVIS, UAVSAR, AIRMOSS, AVIRIS-NG, and CFIS. These synergies offer promising potential for multi-sensor analysis of Arctic-Boreal surface water bodies. In total, 3167 km2 of open surface water were mapped from 23,380 km2 of flight lines spanning 23 degrees of latitude and broad environmental gradients. Detected water body sizes range from 0.00004 km2 (40 m2) to 15 km2. Power-law extrapolations are commonly used to estimate the abundance of small lakes from coarser resolution imagery, and our mapped water bodies followed power-law distributions, but only for water bodies greater than 0.34 (±0.13) km2 in area. For water bodies exceeding this size threshold, the coefficients of power-law fits vary for different Arctic-Boreal physiographic terrains (wetland, prairie pothole, lowland river valley, thermokarst, and Canadian Shield). Thus, direct mapping using high-resolution imagery remains the most accurate way to estimate the abundance of small surface water bodies. We conclude that empirical scaling relationships, useful for estimating total trace gas exchange and aquatic habitats on Arctic-Boreal landscapes, are uniquely enabled by high-resolution AirSWOT-like mappings and automated detection methods such as those developed here. |
format |
Text |
author |
Kyzivat, Ethan D. Smith, Laurence C. Pitcher, Lincoln H. Fayne, Jessica V. Cooley, Sarah W. Cooper, Matthew G. Topp, Simon N. Langhorst, Theodore Harlan, Merritt E. Horvat, Christopher Gleason, Colin J. Pavelsky, Tamlin M. |
author_facet |
Kyzivat, Ethan D. Smith, Laurence C. Pitcher, Lincoln H. Fayne, Jessica V. Cooley, Sarah W. Cooper, Matthew G. Topp, Simon N. Langhorst, Theodore Harlan, Merritt E. Horvat, Christopher Gleason, Colin J. Pavelsky, Tamlin M. |
author_sort |
Kyzivat, Ethan D. |
title |
A High-Resolution Airborne Color-Infrared Camera Water Mask for the NASA ABoVE Campaign |
title_short |
A High-Resolution Airborne Color-Infrared Camera Water Mask for the NASA ABoVE Campaign |
title_full |
A High-Resolution Airborne Color-Infrared Camera Water Mask for the NASA ABoVE Campaign |
title_fullStr |
A High-Resolution Airborne Color-Infrared Camera Water Mask for the NASA ABoVE Campaign |
title_full_unstemmed |
A High-Resolution Airborne Color-Infrared Camera Water Mask for the NASA ABoVE Campaign |
title_sort |
high-resolution airborne color-infrared camera water mask for the nasa above campaign |
publisher |
ScholarWorks@UMass Amherst |
publishDate |
2019 |
url |
https://scholarworks.umass.edu/cee_faculty_pubs/842 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1841&context=cee_faculty_pubs |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Thermokarst |
genre_facet |
Arctic Thermokarst |
op_source |
Civil and Environmental Engineering Faculty Publication Series |
op_relation |
https://scholarworks.umass.edu/cee_faculty_pubs/842 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1841&context=cee_faculty_pubs |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
_version_ |
1766323141785681920 |