Shunlin Liang, Crystal Schaaf, Alan Strahler, Mark
Friedl and Feng Gao (BU)
This study has
been selected for the NPOESS Preparatory Project (NPP) Science Team membership
by assessing a connected suite of atmospheric and land surface Environmental
Data Records (EDRs) from VIIRS for their suitability for long-term climate
studies. The principal investigator for this project is Dr. Crystal Schaaf at
Boston University.
The land aerosol algorithm is the first building block of most of the land
EDRs. Utilizing a dark target approach, it retrieves aerosol properties that
are, in turn, used to produce the surface reflectances that are the primary
input for higher-level products in the land product chain. The land albedo
EDR relies on two approaches to obtain daily albedo values for the globe.
The heritage algorithm is the MODIS BRDF/Albedo algorithm, which depends on
these atmospherically-corrected cloud-free directional surface reflectances
for inputs and is used for most land surfaces. An innovative direct estimation
approach is utilized for bright backgrounds, such as snow or bright desert,
where the atmospheric correction of aerosols can be problematic. The land
cover classification algorithm also relies on an annual phenological cycle
of high quality surface reflectances to map the world's land cover types.
The
investigators on this project are uniquely qualified to evaluate this key land
product chain, as they include the authors of both albedo approaches as well as
the authors of the heritage MODIS Land Cover algorithm. We have also
participated in the international evaluation of the AVHRR-based IGBP DISCover
Land Cover product and are currently involved internationally in both albedo
and land cover validation under the auspices of the CEOS-LPV activity.
Moreover, one investigator has served as the MODIS validation scientist for
both the MODIS surface reflectance and the MODIS albedo algorithms, in addition
to his role as validation scientist for the NOAA/NASA Pathfinder AVHRR Land
Project and the NASA Earth Observer-1 (EO1) Project Team. Thus, our research
team is well situated to assess the suitability of the NPP VIIRS implementation
of heritage algorithms and the stability of the resulting EDRs for the long
term climate data record.