TY - GEN
T1 - MAPS OF ACTIVE LAYER THICKNESS ON THE NORTH SLOPE OF ALASKA BY UPSCALING P-BAND POLARIMETRIC SAR RETRIEVALS
AU - Whitcomb, Jane
AU - Chen, Richard
AU - Clewley, Daniel
AU - Yi, Yonghong
AU - Kimball, John
AU - Moghaddam, Mahta
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - ABoVE
KW - ALT
KW - Random forests
KW - Upscaling
UR - http://www.scopus.com/inward/record.url?scp=85126022821&partnerID=8YFLogxK
U2 - 10.1109/IGARSS47720.2021.9553628
DO - 10.1109/IGARSS47720.2021.9553628
M3 - Conference contribution
AN - SCOPUS:85126022821
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1460
EP - 1463
BT - IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Y2 - 12 July 2021 through 16 July 2021
ER -
