Implementation and validation of atmospheric compensation algorithms for Multispectral Thermal Imager (MTI) pipeline processing

Lee K. Balick; Karen Lewis Hirsch; Peter M. McLachlan; Christoph C. Borel; William B. Clodius; Pierre V. Villeneuve

doi:10.1117/12.409296

17 November 2000 Implementation and validation of atmospheric compensation algorithms for Multispectral Thermal Imager (MTI) pipeline processing

Lee K. Balick, Karen Lewis Hirsch, Peter M. McLachlan, Christoph C. Borel, William B. Clodius, Pierre V. Villeneuve

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Proceedings Volume 4125, Propagation and Imaging through the Atmosphere IV; (2000) https://doi.org/10.1117/12.409296
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

The Multispectral Thermal Imager (MTI) is a satellite system developed by the DoE. It has 10 spectral bands in the reflectance domain and 5 in the thermal IR. It is pointable and, at nadir, provides 5m IFOV in four visible and short near IR bands and 20m IFOV at longer wavelengths. Several of the bands in the reflectance domain were designed to enable quantitative compensation for aerosol effects and water vapor (daytime). These include 3 bands in and adjacent to the 940nm water vapor feature, a band at 1380nm for cirrus cloud detection and a SWIR band with small atmospheric effects. The concepts and development of these techniques have been described in detail at previous SPIE conferences and in journals. This paper describes the adaptation of these algorithms to the MTI automated processing pipeline (standardized level 2 products) for retrieval of aerosol optical depth (and subsequent compensation of reflectance bands for calibration to reflectance) and the atmospheric water vapor content (thermal IR compensation). Input data sources and flow are described. Validation results are presented. Pre-launch validation was performed using images from the NASA AVIRIS hyperspectral imaging sensor flown in the stratosphere on NASA ER-2 aircraft compared to ground based sun photometer and radiosonde measurements from different sources. These data sets span a range of environmental conditions.

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Lee K. Balick, Karen Lewis Hirsch, Peter M. McLachlan, Christoph C. Borel, William B. Clodius, and Pierre V. Villeneuve "Implementation and validation of atmospheric compensation algorithms for Multispectral Thermal Imager (MTI) pipeline processing", Proc. SPIE 4125, Propagation and Imaging through the Atmosphere IV, (17 November 2000); https://doi.org/10.1117/12.409296

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KEYWORDS

Reflectivity

Vegetation

Aerosols

Atmospheric modeling

Thermography

Algorithm development

Atmospheric particles

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