MAPS OF ACTIVE LAYER THICKNESS ON THE NORTH SLOPE OF ALASKA BY UPSCALING P-BAND POLARIMETRIC SAR RETRIEVALS

Jane Whitcomb, Richard Chen, Daniel Clewley, Yonghong Yi, John Kimball, Mahta Moghaddam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Detailed information on the spatial and temporal distribution of active layer thickness (ALT) throughout the North Slope of Alaska, were it available, could offer valuable insights into the effects of climate change throughout the region and facilitate the estimation of greenhouse gas emissions resulting from permafrost degradation. We are, therefore, developing extensive high-resolution maps of ALT on the North Slope of Alaska. To do this, we use a machine learning algorithm to extrapolate ALT from high resolution strips of estimated ALT derived from airborne P-band synthetic aperture radar (SAR) acquired over two sets of flights in each of three different years. Our results indicate upscaling root-mean-square error (RMSE) of about 4 cm relative to thousands of randomly-selected SAR-derived ALT validation samples, and RMSE of approximately 10 cm relative to a small number of in-situ ALT measurements.

Original languageEnglish
Title of host publicationIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1460-1463
Number of pages4
ISBN (Electronic)9781665403696
DOIs
StatePublished - 2021
Event2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium
Duration: Jul 12 2021Jul 16 2021

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2021-July

Conference

Conference2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Country/TerritoryBelgium
CityBrussels
Period07/12/2107/16/21

Keywords

  • ABoVE
  • ALT
  • Random forests
  • Upscaling

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