ACCESS to Terra Data Fusion Products
Principal Investigator (PI): Larry Di Girolamo: University of Illinois at Urbana-Champaign
Co-Investigators (Co-PI): Yan Liu, John Towns, Shaowen Wang, Guangyu Zhao: UIUC; Muqun Wang: HDF Group
NASA’s Terra spacecraft has been orbiting the Earth since 1999. The satellite orbits the Earth 16 times each day, allowing its five instruments - Advanced Spaceborne Thermal Emission and Reflection (ASTER), Measurement of Pollution in the Troposphere (MOPITT), Multi-angle Imaging SpectroRadiometer (MISR), Clouds and the Earth's Radiant Energy System (CERES), and Moderate Resolution Imaging Spectroradiometer (MODIS) — to collect data about the Earth. Each of these instruments provides valuable information about the Earth and its atmosphere.
The significant added value of the Terra mission, however, comes from a combination of different Terra instrument observations of the Earth system over time. However, combining instrument data is challenging. Each instrument’s data resides at different locations in different file formats with different granularities and different grids/projections. And, there is a lot of data — about 2TB per day for nearly 20 years. These challenges often prevent scientists from taking full advantage of Terra data sets.
Led by Larry Di Girolamo, the team from the University of Illinois at Urbana-Champaign developed a system that efficiently generates and delivers mission-scale Terra data fusion products that can be used to address a wide range of Earth science questions. This project combines Terra observations from different instruments which enables scientists to derive new Terra products that better examine changes in the Earth and its atmosphere over the course of the Terra mission.
Di Girolamo’s team produced both a basic fusion product and an advanced fusion toolkit that allows users to resample and reproject radiance fields from one Terra instrument onto grids used by another Terra instrument, to a regularly spaced grid, or to a user-specified grid. These products will be available via the Earthdata Cloud in 2019.
As a use case, the team developed the Climate Marble, which will appear in the planetarium dome show “Birth of Planet Earth” produced by Thomas Lucas Productions, Spitz Creative Media, and the National Center for Supercomputing Applications's Advanced Visualization Lab. The team is also creating an interactive web interface that will make Climate Marble available to the public in early 2019. Publications on the Climate Marble, Earth’s spectral and textural trends as observed from Terra, and new global retrievals of cloud properties from Terra instruments are examples of studies currently underway by Di Girolamo’s team.
In the news:
Di Girolamo, L., et al. (2017). NASA Terra Satellite: ACCESS to Terra Data Fusion Products.
Fu, D. (2018). Examination of the behavior of MODIS-retrieved cloud droplet effective radius through MISR-MODIS data fusion (M.Sc. Thesis). University of Illinois at Urbana-Champaign.
Wang, Y., Hioki, S., Yang, P., King, M., Di Girolamo, L., Fu, D., & Baum, B. (2018). Inference of an optimal ice particle model through latitudinal analysis of MISR and MODIS data. Remote Sensing, 10(12): 1981. http://doi.org/10.3390/rs10121981
Zhan, Y., Di Girolamo, L., Davies, R., & Moroney, C. (2018). Instantaneous top-of-atmosphere albedo comparison between CERES and MISR over the Arctic. Remote Sensing, 10(12): 1882. http://doi.org/10.3390/rs10121882
Last Updated: May 3, 2019 at 1:34 PM EDT