ABoVE: Soil Drainage Maps from L-band SAR across Four Sites in Alaska and Canada

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.