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Sensor performance requirements for the retrieval of atmospheric aerosols by airborne optical remote sensing

Seidel, F; Schläpfer, D; Nieke, J; Itten, K I (2008). Sensor performance requirements for the retrieval of atmospheric aerosols by airborne optical remote sensing. Sensors, 8(3):1902-1914.

Abstract

This study explores performance requirements for the retrieval of the atmospheric aerosol optical depth (AOD) by airborne optical remote sensing instruments. Independent of any retrieval techniques, the calculated AOD retrieval requirements are compared with the expected performance parameters of the upcoming hyperspectral sensor APEX at the reference wavelength of 550nm. The AOD accuracy requirements are defined to be capable of resolving transmittance differences of 0.01 to 0.04 according to the demands of atmospheric corrections for remote sensing applications. For the purposes of this analysis, the signal at the sensor level is simulated by radiation transfer equations. The resulting radiances are translated into the AOD retrieval sensitivity (Δτ aer λ ) and compared to the available measuring sensitivity of the sensor (NE ΔLsensor λ ). This is done for multiple signal-to-noise ratios (SNR) and surface reflectance values. It is shown that an SNR of 100 is adequate for AOD retrieval at 550nm under typical remote sensing conditions and a surface reflectance of 10% or less. Such dark surfaces require the lowest SNR values and therefore offer the best sensitivity for measuring AOD. Brighter surfaces with up to 30% reflectance require an SNR of around 300. It is shown that AOD retrieval for targets above 50% surface reflectance is more problematic with the current sensor performance as it may require an SNR larger than 1000. In general, feasibility is proven for the analyzed cases under simulated conditions.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Physical Sciences > Analytical Chemistry
Life Sciences > Biochemistry
Physical Sciences > Atomic and Molecular Physics, and Optics
Physical Sciences > Instrumentation
Physical Sciences > Electrical and Electronic Engineering
Language:English
Date:2008
Deposited On:08 Sep 2008 08:35
Last Modified:01 Nov 2024 02:38
Publisher:MDPI Publishing
ISSN:1424-8220
Additional Information:This article belongs to the Special Issue Remote Sensing of Natural Resources and the Environment.
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.3390/s8031901
Official URL:http://www.mdpi.com/1424-8220/8/3/1901/pdf
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