Initial validation of atmospheric compensation for a Landsat land surface temperature product

Monica J. Cook; John R. Schott

doi:10.1117/12.2015320

18 May 2013 Initial validation of atmospheric compensation for a Landsat land surface temperature product

Monica J. Cook, John R. Schott

Proceedings Volume 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX; 874314 (2013) https://doi.org/10.1117/12.2015320
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

The Landsat series of satellites is the longest set of continuously acquired moderate resolution multispectral satellite imagery collected on a single maintained family of instruments. The data are very attractive because the entire archive has been radiometrically calibrated and characterized so that sensor reaching radiance values are well known. Because of the spatial and temporal coverage provided by Landsat, it is an intriguing candidate for a land surface temperature (LST) product, an important earth system data record for a number of fields including numerical weather prediction, climate research and a number of agricultural applications. Using the Landsat long-wave infrared thermal band, LST can be derived with a well-characterized atmosphere and a known surface emissivity. This work integrates the North America Regional Reanalysis dataset (atmospheric profile data) with ASTER derived emissivity data to perform LST retrievals. This paper emphasizes progress toward atmospheric compensation at each Landsat pixel. Due to differences in temporal and spatial sampling, a number of interpolations are required to compute the radiance due to temperature at each pixel. Radiosonde data and water temperatures derived from buoys are used as ground truth data to explore the error in the final predicted temperature. Preliminary results show consistent errors of less than 1 K in clear atmospheres but higher errors in hotter and more humid atmospheres. Future work will analyze results to predict error in the final retrieved temperatures using atmospheric conditions. The final goal is to report both a predicted LST and a confidence in this value.

Citation Download Citation

Monica J. Cook and John R. Schott "Initial validation of atmospheric compensation for a Landsat land surface temperature product", Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 874314 (18 May 2013); https://doi.org/10.1117/12.2015320

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