Paper Info
Title
A Practical Approach to Landsat 8 TIRS Stray Light Correction Using Multi-Sensor Measurements.
Abstract
It has been noticed that the Landsat 8 Thermal Infrared Sensor (TIRS) had an issue with stray light since its launch in 2013. This artifact is due to out-of-field radiance that scatters onto the TIRS focal plane. Much effort has been taken to develop an algorithm to remove this artifact. One proposed approach involves using TIRS data itself (referred to as TIRS-on-TIRS) to retrieve the true sensor-reaching radiance. This approach has been proven to be operational and supports the TIRS Collection-1 product. A methodology of calibrating the TIRS sensor with information from the Geostationary Operational Environmental Satellite (GOES) instrument may optimally reduce the stray light effect for special cases where there is a large temperature contrast between the edge of the TIRS image and out-of-field radiance (referred to as GOES-on-TIRS). This paper illustrates a GOES to TIRS conversion (GTTC) algorithm with the North American Regional Reanalysis (NARR) data to support the GOES-on-TIRS method. Results show this GOESTIRS correction method performs similarly to the TIRS Collection-1 product. Additionally, a simplified methodology is proposed to improve the GOES data processing which can operationalize the GOES-on-TIRS algorithm. Results also show that, using the proposed algorithm with these special cases, the maximum difference between the Collection-1 product and the GOES-on-TIRS correction results in a temperature difference from 0.5% to 0.7%.
Year
DOI
Venue
2018
10.3390/rs10040589
REMOTE SENSING
Keywords
Field
DocType
Landsat 8,TIRS,stray light,GOES,calibration
Temperature difference,Computer vision,Geostationary Operational Environmental Satellite,Thermal infrared,Data processing,Cardinal point,Stray light,Remote sensing,Artificial intelligence,Geology,Radiance,Calibration
Journal
Volume
Issue
ISSN
10
4
2072-4292
Citations 
PageRank 
References 
2
0.46
4
Authors
2
Name
Order
Citations
PageRank
Yue Wang1960143.63
Emmett J. Ientilucci2204.02