Temporally Adjusted Atmospheric Compensation (TAAC) for space-based multispectral imagery

Michael Gartley; Emmett Ientilucci; James Albano; Sarvani Bhamidi

doi:10.1117/12.2646380

30 September 2022 Temporally Adjusted Atmospheric Compensation (TAAC) for space-based multispectral imagery

Michael Gartley, Emmett Ientilucci, James Albano, Sarvani Bhamidi

Proceedings Volume 12232, Earth Observing Systems XXVII; 122320K (2022) https://doi.org/10.1117/12.2646380
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Abstract

In many applications, ground-leaving reflectance data is needed to fully understand the desired phenomenology in the obtained observations. Measured sensor data is altered by spectrally dependent effects due to the atmosphere and are commonly removed using an atmospheric compensation algorithm. Most existing atmospheric compensation algorithms are specifically designed to operate on single image products. We present a simple atmospheric compensation algorithm that takes advantage of multiple temporal images over a single site for an improved surface reflectance result. The algorithm identifies psuedo-invariant feature pixels common across an entire time series and adjusts the compensation for an improved result over single image compensation. Initial results show our temporal approach outperforms Sen2Cor, improves reflectance retrieval accuracy of Sentinel-2 products by 3.5% percent, and yields an overall accuracy of 5.6% percent relative to RadCalNet ground truth.

Conference Presentation

Citation Download Citation

Michael Gartley, Emmett Ientilucci, James Albano, and Sarvani Bhamidi "Temporally Adjusted Atmospheric Compensation (TAAC) for space-based multispectral imagery", Proc. SPIE 12232, Earth Observing Systems XXVII, 122320K (30 September 2022); https://doi.org/10.1117/12.2646380

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available