Title :
Quantifying Libya-4 Surface Reflectance Heterogeneity With WorldView-1, 2 and EO-1 Hyperion
Author :
Neigh, Christopher S. R. ; McCorkel, Joel ; Middleton, Elizabeth M.
Author_Institution :
Biospheric Sci. Lab., NASA Goddard Space Flight Center, Greenbelt, MD, USA
Abstract :
The land surface imaging (LSI) virtual constellation approach promotes the concept of increasing Earth observations from multiple but disparate satellites. We evaluated this through spectral and spatial domains, by comparing surface reflectance from 30-m Hyperion and 2-m resolution WorldView-2 (WV-2) data in the Libya-4 pseudoinvariant calibration site. We convolved and resampled Hyperion to WV-2 bands using both cubic convolution and nearest neighbor (NN) interpolation. Additionally, WV-2 and WV-1 same-date imagery were processed as a cross-track stereo pair to generate a digital terrain model to evaluate the effects from large (>70 m) linear dunes. Agreement was moderate to low on dune peaks between WV-2 and Hyperion (R2 <; 0.4) but higher in areas of lower elevation and slope (R2 > 0.6). Our results provide a satellite sensor intercomparison protocol for an LSI virtual constellation at high spatial resolution, which should start with geolocation of pixels, followed by NN interpolation to avoid tall dunes that enhance surface reflectance differences across this internationally utilized site.
Keywords :
terrain mapping; EO-1 Hyperion data; Earth observations; Hyperion-to-WV-2 bands; LSI virtual constellation; Libya-4 pseudoinvariant calibration site; Libya-4 surface reflectance heterogeneity; WV-1 same-date imagery; WorldView-2 data; cross-track stereo pair; cubic convolution interpolation; digital terrain model; disparate satellites; dune peaks; high spatial resolution; land surface imaging virtual constellation approach; nearest neighbor interpolation; pixel geolocation; satellite sensor intercomparison protocol; spatial domain; spectral domain; surface reflectance; surface reflectance differences; Calibration; Earth; Land surface; Remote sensing; Satellites; Spatial resolution; Surface topography; Digital terrain model (DTM); EO-1 Hyperion; Libya-4; WorldView; land surface imaging (LSI); pseudoinvariant calibration site (PICS); surface reflectance;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2015.2468174