The development of a DIRSIG simulation environment to support instrument trade studies for the SOLARIS sensor

Aaron D. Gerace; Adam A. Goodenough; Matthew Montanaro; Jie Yang; Joel T. McCorkel

doi:10.1117/12.2177507

21 May 2015 The development of a DIRSIG simulation environment to support instrument trade studies for the SOLARIS sensor

Aaron D. Gerace, Adam A. Goodenough, Matthew Montanaro, Jie Yang, Joel T. McCorkel

Author Affiliations +

Proceedings Volume 9472, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI; 947214 (2015) https://doi.org/10.1117/12.2177507
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

NASA Goddard’s SOLARIS (Solar, Lunar for Absolute Reflectance Imaging Spectroradiometer) sensor is the calibration demonstration system for CLARREO (Climate Absolute Radiance and Refractivity Observatory), a mission that addresses the need to make highly accurate observations of long-term climate change trends. The SOLARIS instrument will be designed to support a primary objective of CLARREO, which is to advance the accuracy of absolute calibration for space-borne instruments in the reflected solar wavelengths. This work focuses on the development of a simulated environment to facilitate sensor trade studies to support instrument design and build for the SOLARIS sensor. Openly available data are used to generate geometrically and radiometrically realistic synthetic landscapes to serve as input to an image generation model, specifically the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model. Recent enhancements to DIRSIG’s sensor model capabilities have made it an attractive option for performing sensor trade studies. This research takes advantage of these enhancements to model key sensor characteristics (e.g., sensor noise, relative spectral response, spectral coverage, etc.) and evaluate their impact on SOLARIS’s stringent 0.3% error budget for absolute calibration. A SOLARIS sensor model is developed directly from measurements provided by NASA Goddard and various synthetic landscapes generated to identify potential calibration sites once the instrument achieves orbit. The results of these experiments are presented and potential sources of error for sensor inter-calibration are identified.

Citation Download Citation

Aaron D. Gerace, Adam A. Goodenough, Matthew Montanaro, Jie Yang, and Joel T. McCorkel "The development of a DIRSIG simulation environment to support instrument trade studies for the SOLARIS sensor", Proc. SPIE 9472, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, 947214 (21 May 2015); https://doi.org/10.1117/12.2177507

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