Estimation of the GEO belt debris population by two independent remote sensing techniques

Jeremy Murray-Krezan; Kevin Meng; Patrick Seitzer

doi:10.1117/1.OE.58.4.041608

24 January 2019 Estimation of the GEO belt debris population by two independent remote sensing techniques

Jeremy Murray-Krezan, Kevin Meng, Patrick Seitzer

Author Affiliations +

Optical Engineering, Vol. 58, Issue 4, 041608 (January 2019). https://doi.org/10.1117/1.OE.58.4.041608

Abstract

Models that characterize the number of GEO belt debris objects using a distribution function to describe debris with data and rigorous analytical methods, quantified as a function of size, have been developed using measurements taken in both the infrared and visible wavebands. The specific datasets used, all GEO belt debris data, were gathered from the 2009 to 2011 NASA-WISE infrared observational campaigns and 2013-2014 MODEST visible waveband campaigns. Our paper reconciles the two independent remote sensing techniques, resulting in a comprehensive description of the total number of GEO belt debris. Although a few thousand objects are cataloged at GEO, surprisingly the total number of GEO belt debris is an unknown physical quantity. The two independent estimation methods discussed in this paper result in a characteristic description of the GEO belt debris population that agrees to within 30%, by which the total number of GEO belt debris may be estimated. Additionally, the uncertainties in the two methods are discussed along with the outlook for future, more accurate measurements.

Citation Download Citation

Jeremy Murray-Krezan, Kevin Meng, and Patrick Seitzer "Estimation of the GEO belt debris population by two independent remote sensing techniques," Optical Engineering 58(4), 041608 (24 January 2019). https://doi.org/10.1117/1.OE.58.4.041608

Received: 2 October 2018; Accepted: 18 December 2018; Published: 24 January 2019

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KEYWORDS

Mathematical modeling

Remote sensing

Data modeling

Sensors

Infrared radiation

Error analysis

Telescopes

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