Terrestrial Information Systems

Research Page

Data Processing

The Terrestrial Information Systems Laboratory supports four data processing systems including:

PPS (Precipitation Processing System) develops and maintains GPM (Global Precipitation Measurement) mission algorithms and produces standard research products for all GPM satellite and partner sensors back to 1987. PPS also develops and maintains geolocation and orbit definition software and analysis of geolocation accuracy while developing and maintaining the GPM near real time (NRT) system and product distribution.

ACPS (Atmosphere Composition Processing System) supports the Ozone SIPS and processes OMI (Ozone Monitoring Instrument) and OMPS (Ozone Mapping and Profiler Suite) data into products archived and distributed by GES DISC (Goddard Earth Science Data and Information Science Center). Ozone, sulfur dioxide, nitrogen dioxide, formaldehyde, absorbing aerosols, and cloud pressure data products are used in climate change research and applications. Near real time data is used in applications such as numerical weather and climate prediction, air quality and disaster relief.

MODAPS (MODIS Adaptive Processing System) and VIIRS LAND SIPS processes the MODIS and VIIRS instrument data and generates all levels of standard data products for use in climate change study and research applications, and near real time products for use in near real time applications such as numerical weather and climate prediction, forecasting and monitoring natural hazards, agriculture, air quality and disaster relief.

AOS Science Data Segment (Atmosphere Observing System) missions focus on Aerosols, Clouds, Atmospheric Convection and Precipitation. The lab is leading the effort to design the Science Data Segment (SDS) that will perform the science data processing for the missions. The AOS SDS plans to operate fully within the NASA Earthdata Cloud and embrace the NASA Headquarter's Open-Source Science Initiative.

NASA Integrated Multi-satellitE Retrievals for GPM (IMERG) accumulation.
Between June 24 and October 13, 2022, monsoon rains caused floods in Pakistan. The video shows IMERG (Integrated Multi-Satellite Retrievals for GPM) data, supported by PPS. This data can be used to identify areas with agricultural impacts, and areas where waterborne diseases may increase. Image Credit: Earth Observatory (https://earthobservatory.nasa.gov/images/150470/flood-woes-continue-in-pakistan)