Bourgeau-Chavez, L. L., Kozel, N., Brandt, M., Battaglia, M. J., Graham, J. A., Chavez, A. J., & Vander Bilt, D. J. L. (2026). ABoVE: Soil Drainage Maps from L-band SAR across Four Sites in Alaska and Canada (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2516 Date Accessed: 2026-09-03

@article{bourgeau-chavez_kozel_brandt_battaglia_graham_chavez_vander bilt_2026, title={ABoVE: Soil Drainage Maps from L-band SAR across Four Sites in Alaska and Canada}, url={https://www.earthdata.nasa.gov/data/catalog/ornl-cloud-above-soil-drainage-maps-sar-2516-1}, DOI={10.3334/ORNLDAAC/2516}, abstractNote={This dataset provides four prototype soil drainage maps (relative soil drainage classes) across four study sites in Alaska and Canada including Bonanza Creek, AK; Hay River, Northwest Territories; Delta Junction, AK; and the Red Earth Creek, Alberta. The relative soil drainage classes were produced from an input time series of L-band HH-polarization SAR imagery from the ALOS-PALSAR or ALOS-2 PALSAR-2 (acquired via a JAXA data grant used for the Red Earth Creek Alberta site). The study sites had at least five ALOS-1/2 PALSAR growing season images and coincident in situ moisture data for multiple locations the scenes. Each map is relative based on different input months/years (dates and number of dates). The input data were acquired from repeat orbit/frames, radiometrically terrain corrected and stacked by site before applying a functional principal component analysis (FPCA). The scikit-FDA package in Python was used to apply FPCA to each time series of L-band SAR data. The outputs were coefficients and scores for the FPCA. Field data were used to test the coefficients and scores against in situ soil moisture. The second coefficient, was found to be significantly related to the coefficient of variation (CoV) of in situ soil moisture and was used to produce the maps. Once the relationships were established between the CoV of field plot data and the FPCA coefficient, the designated FPCA coefficient layers were used with a quantile classification of seven classes to output relative soil drainage. The data are provided in GeoTIFF format.}, publisher={ORNL Distributed Active Archive Center}, author={Bourgeau-Chavez, L.L. and Kozel, N. and Brandt, M. and Battaglia, M.J. and Graham, J.A. and Chavez, A.J. and Vander Bilt, D.J.L.}, year={2026}, language={en}, }

Bourgeau-Chavez, L. L., Kozel, N., Brandt, M., Battaglia, M. J., Graham, J. A., Chavez, A. J., & Vander Bilt, D. J. L. (2026). ABoVE: Soil Drainage Maps from L-band SAR across Four Sites in Alaska and Canada (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2516 Date Accessed: 2026-09-03

Bourgeau-Chavez, L.L., et al. “ABoVE: Soil Drainage Maps from L-Band SAR across Four Sites in Alaska and Canada.” With ORNL DAAC, Version 1, ORNL Distributed Active Archive Center, 1 Jan. 2026, https://doi.org/10.3334/ORNLDAAC/2516. Date Accessed: 2026-09-03