The International MODIS/AIRS Processing Package (IMAPP) allows ground stations capable of receiving direct broadcast data from the NASA Terra and Aqua spacecraft to create a suite of products from MODIS, AIRS, AMSU, and AMSR-E. The IMAPP software is freely available, and is supported on Intel Linux host platforms.
IMAPP is also available as a Virtual Appliance for Windows, OS X, and Linux, offering a complete processing system for direct broadcast atmosphere, land, and ocean products from Terra and Aqua.
MODIS products (Terra and Aqua)
Atmosphere and Polar Products
AIRS and AMSU Products (Aqua)
The Direct Broadcast CIMSS Regional Assimilation System (DBCRAS) is a regional numerical weather prediction model that assimilates MODIS products in real time and creates forecasts up to 72 hours at 48 km and 16 km resolution.
Aviation/Severe Weather Forecast Products
The IMAPP Overshooting Tops (OT) software package identifies regions of MODIS data that contain convective cloud tops that have broken through the tropopause into the lower stratosphere because of a strong updraft. Convective storms with OTs have the potential to produce severe weather at the ground (heavy rain, damaging winds, hail and tornadoes) as well as aviation hazards including lightning and turbulence.
Air Quality Forecast Products
The Infusing Satellite Data Into Environmental Applications - International (IDEA-I) software utilizes the MODIS Aerosol Product (MOD04) to identify regions of elevated air pollution, then runs a trajectory model to forecast the vertical and horizontal movement of the aerosols in the next 48 hours.
The IMAPP Virtual Appliance is an automated processing system for MODIS, AIRS, and AMSR-E data acquired by direct broadcast. It is easy to install and run on platforms including:
HYDRA2 Multispectral Data Analysis Toolkit
HYDRA2 is a visualization and analysis toolkit for interrogating NASA EOS Aqua and Terra and JPSS S-NPP instrument data. This toolkit was developed to assist research and development of remote sensing applications as well as education and training of remote sensing scientists. Supported platforms include: