Monitoring, classification, and characterization of interior Alaska forests using AIRSAR and ERS-1 SAR

At the Bonanza Creek Experimental Forest (BCEF), past ecological research has been directed at forest successional processes on the floodplain of the Tanana River and adjacent uplands. Research at the Bonanza Creek site continues on the mosaic of forests, shrublands, and wetlands in a wide variety o...

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Published in:Polar Record
Main Authors: Williams, CL, Rignot, E
Format: Article in Journal/Newspaper
Language:English
Published: eScholarship, University of California 1995
Subjects:
Online Access:http://www.escholarship.org/uc/item/5r66046g
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spelling ftcdlib:qt5r66046g 2023-05-15T18:02:37+02:00 Monitoring, classification, and characterization of interior Alaska forests using AIRSAR and ERS-1 SAR Williams, CL Rignot, E 227 - 234 1995-01-01 application/pdf http://www.escholarship.org/uc/item/5r66046g english eng eScholarship, University of California qt5r66046g http://www.escholarship.org/uc/item/5r66046g Attribution (CC BY): http://creativecommons.org/licenses/by/3.0/ CC-BY Williams, CL; & Rignot, E. (1995). Monitoring, classification, and characterization of interior Alaska forests using AIRSAR and ERS-1 SAR. Polar Record, 31(177), 227 - 234. doi:10.1017/S0032247400013723. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/5r66046g article 1995 ftcdlib https://doi.org/10.1017/S0032247400013723 2017-10-13T22:50:45Z At the Bonanza Creek Experimental Forest (BCEF), past ecological research has been directed at forest successional processes on the floodplain of the Tanana River and adjacent uplands. Research at the Bonanza Creek site continues on the mosaic of forests, shrublands, and wetlands in a wide variety of successional stages on the Tanana floodplain. This paper reviews research since 1988 into the capabilities of Synthetic Aperture Radar (SAR) for monitoring, classification, and characterization of these forests using radar remote sensing and modelling techniques. Classifications of successional stages, obtained by use of different classifiers on multi-frequency and multi-polarimetric AIRSAR data, are contrasted; these classifications have been used to predict classification accuracies obtained with ERS-1 data, and to estimate the utility of an ERS-1 and RADARSAT combination for classification. Forest classifications, used in combination with ground-truth data for more than 50 forest stands, are used to summarize the distribution of biomass on the landscape. This will allow projections of future biomass. Monitoring of forest phenology, seasonality of flooding, and freeze-thaw transitions is ongoing. Also, direct monitoring of dominant tree species is demonstrating diurnal variation and interrelationships among environmental, physiological, and backscatter measurements. © 1995, Cambridge University Press. All rights reserved. Article in Journal/Newspaper Polar Record Alaska University of California: eScholarship Bonanza ENVELOPE(-119.820,-119.820,55.917,55.917) Polar Record 31 177 227 234
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
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description At the Bonanza Creek Experimental Forest (BCEF), past ecological research has been directed at forest successional processes on the floodplain of the Tanana River and adjacent uplands. Research at the Bonanza Creek site continues on the mosaic of forests, shrublands, and wetlands in a wide variety of successional stages on the Tanana floodplain. This paper reviews research since 1988 into the capabilities of Synthetic Aperture Radar (SAR) for monitoring, classification, and characterization of these forests using radar remote sensing and modelling techniques. Classifications of successional stages, obtained by use of different classifiers on multi-frequency and multi-polarimetric AIRSAR data, are contrasted; these classifications have been used to predict classification accuracies obtained with ERS-1 data, and to estimate the utility of an ERS-1 and RADARSAT combination for classification. Forest classifications, used in combination with ground-truth data for more than 50 forest stands, are used to summarize the distribution of biomass on the landscape. This will allow projections of future biomass. Monitoring of forest phenology, seasonality of flooding, and freeze-thaw transitions is ongoing. Also, direct monitoring of dominant tree species is demonstrating diurnal variation and interrelationships among environmental, physiological, and backscatter measurements. © 1995, Cambridge University Press. All rights reserved.
format Article in Journal/Newspaper
author Williams, CL
Rignot, E
spellingShingle Williams, CL
Rignot, E
Monitoring, classification, and characterization of interior Alaska forests using AIRSAR and ERS-1 SAR
author_facet Williams, CL
Rignot, E
author_sort Williams, CL
title Monitoring, classification, and characterization of interior Alaska forests using AIRSAR and ERS-1 SAR
title_short Monitoring, classification, and characterization of interior Alaska forests using AIRSAR and ERS-1 SAR
title_full Monitoring, classification, and characterization of interior Alaska forests using AIRSAR and ERS-1 SAR
title_fullStr Monitoring, classification, and characterization of interior Alaska forests using AIRSAR and ERS-1 SAR
title_full_unstemmed Monitoring, classification, and characterization of interior Alaska forests using AIRSAR and ERS-1 SAR
title_sort monitoring, classification, and characterization of interior alaska forests using airsar and ers-1 sar
publisher eScholarship, University of California
publishDate 1995
url http://www.escholarship.org/uc/item/5r66046g
op_coverage 227 - 234
long_lat ENVELOPE(-119.820,-119.820,55.917,55.917)
geographic Bonanza
geographic_facet Bonanza
genre Polar Record
Alaska
genre_facet Polar Record
Alaska
op_source Williams, CL; & Rignot, E. (1995). Monitoring, classification, and characterization of interior Alaska forests using AIRSAR and ERS-1 SAR. Polar Record, 31(177), 227 - 234. doi:10.1017/S0032247400013723. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/5r66046g
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op_rights Attribution (CC BY): http://creativecommons.org/licenses/by/3.0/
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op_doi https://doi.org/10.1017/S0032247400013723
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