|
Extending the Terrestrial Observation and Prediction System (TOPS) to Suomi - NPP Applications
Sangram
Ganguly, NASA ARC BAERI, sangramganguly@gmail.com
(Presenter)
Forrest
Melton, NASA ARC/CSUMB, forrest.s.melton@nasa.gov
Ramakrishna
R.
Nemani, NASA ARC, rama.nemani@nasa.gov
Jennifer
Dungan, NASA Ames Research Center, jennifer.l.dungan@nasa.gov
Tomoaki
Miura, University of Hawaii, tomoakim@hawaii.edu
Devadiga
Sadashiva, NASA GSFC, sadashiva.devadiga-1@nasa.gov
Continuity of satellite observations is a primary concern for many NASA Applied Science Program (ASP) projects and their partners. Many of the ASP projects currently rely on MODIS data as inputs to ecosystem models or Decision Support Systems. In order to provide the transition to using VIIRS derived products for the Terrestrial Observation and Prediction System (TOPS), it is necessary to characterize the uncertainties associated with the transition from MODIS to VIIRS. The exercise involves testing consistency between VIIRS Surface Reflectance (SR) and Vegetation Index (VI) Products as obtained from the VIIRS Land Peate Team and MODIS-derived SR/VI products. The VIIRS data products are screened for pixels with atmospheric effects and composited over a 16-day time window to match the MODIS 1km SR/VI 16-day products. Intercomparison results from available tiles over the Continental U.S. suggest that Quality Assurance (QA) consistency is mandatory to establish similar contaminated pixels from MODIS and VIIRS, which would otherwise lead to a bias in SR/VI values. This exercise will further guide the development of reliable and consistent QA layers with the standard distribution of VIIRS SR product from the Land Peate Team. Establishing a correction scheme to generate consistent SR/VI products from VIIRS is a key step towards implementing TOPS to produce consistent ecosystem assessments.
Presentation Type: Poster
Session: Poster Session 1-B
(Tue 4:30 PM)
Associated Project(s):
- Related Activity or Previously Funded TE Activity
Poster Location ID: 37
|