The process of developing new sensors for space flight frequently builds upon the designs and experiences of existing heritage space flight sensors. Frequently in the new sensor development, problems are encountered that pose the risk of serious impact on successful retrieval of geophysical products using the new sensor. This paper describes an approach to assess the importance of optical and electronic cross-talk on retrieval of geophysical products using new MODIS-like sensors through the use of MODIS data sets. These approaches may be extended to any sensor characteristic and any sensor where that characteristic may impact the Level 1 products and their associated higher level geophysical products. In this study, a set of electronic cross-talk coefficients are postulated. These coefficients are sender-receiver influence coefficients and represent a system signal contamination on any detector on a focal plane when another detector on that focal plane is stimulated with a geophysical signal. The approach involves using the postulated cross-talk coefficients on an actual set of MODIS data granules. The original MODIS data granules and the cross-talk impacted granules can be used with validated geophysical algorithms to create the derived products. Comparison of products affected by crosstalk with products without cross-talk will identify potential problems.
This paper presents the strategy designed by the government team, IPO and NASA, for the NPOESS Preparatory Project (NPP) instrument characterization and calibration, and product validation, in preparation for the NPOESS operational system. NPP is a risk reduction mission for NPOESS, managed by the IPO and NASA. NPP will carry three (3) instruments, VIIRS, CrIS and ATMS, and an Instrument of Opportunity to be announced soon. Responsibilities will be
shared between government and industry participants to ensure high performance at all system levels. This will include provision of the sensor pre-launch characterization and post-launch calibration procedures, definition of validation approaches for all NPP products, and identification of the resources and assets required to achieve these activities. This calibration and validation plan will benefit greatly from the validation efforts and infrastructure of several existing programs at the national and international scale. The synergy between the SSPR system integrator and the government
team, IPO and NASA, will build the foundation for interactions that will lead to better sensors, better algorithms, and better ground data systems.
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