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CLEAR research assistant Anna Chabaeva conducted research to develop
an impervious surface estimation model for use with National Land
Cover Data (NLCD) and Census Tract population density data. High-resolution
planimetric data for buildings and transportation features provided
the footprints for impervious features from towns in Connecticut,
Massachusetts, and New York and were used to calibrate the model.
Regression analyses were done to investigate the relationship of
population density, impervious cover and remotely-sensed land cover
data. A regression model was developed from this study and applied
to the entire state, with the data averaged by local watershed (map,
below). Testing for accuracy using 236 watersheds for which CLEAR
has detailed impervious coverage data showed a very strong correlation
between actual percent imperviousness and that predicted by the
model (R2 = 0.89). Please see our reference paper for the complete
study. |
