Calibration of Landsat 5 thermal infrared channel: updated calibration history and assessment of the errors associated with the methodology

2010 ◽  
Vol 36 (5) ◽  
pp. 617-630 ◽  
Author(s):  
Francis P. Padula ◽  
John R. Schott ◽  
Julia A. Barsi ◽  
Nina G. Raqueno ◽  
Simon J. Hook
Keyword(s):  
Thermal Infrared ◽  
Infrared Channel

scholarly journals Day and Night Clouds Detection Using a Thermal-Infrared All-Sky-View Camera

2021 ◽  
Vol 13 (9) ◽  
pp. 1852
Author(s):  
Yiren Wang ◽  
Dong Liu ◽  
Wanyi Xie ◽  
Ming Yang ◽  
Zhenyu Gao ◽  
...  
Keyword(s):  
Infrared Image ◽  
Thermal Infrared ◽  
Field Of View ◽  
Detection Scheme ◽  
Detection Approach ◽  
Cloud Characteristics ◽  
Formation And Evolution ◽  
Fish Eye ◽  
Infrared Channel

The formation and evolution of clouds are associated with their thermodynamical and microphysical progress. Previous studies have been conducted to collect images using ground-based cloud observation equipment to provide important cloud characteristics information. However, most of this equipment cannot perform continuous observations during the day and night, and their field of view (FOV) is also limited. To address these issues, this work proposes a day and night clouds detection approach integrated into a self-made thermal-infrared (TIR) all-sky-view camera. The TIR camera consists of a high-resolution thermal microbolometer array and a fish-eye lens with a FOV larger than 160°. In addition, a detection scheme was designed to directly subtract the contamination of the atmospheric TIR emission from the entire infrared image of such a large FOV, which was used for cloud recognition. The performance of this scheme was validated by comparing the cloud fractions retrieved from the infrared channel with those from the visible channel and manual observation. The results indicated that the current instrument could obtain accurate cloud fraction from the observed infrared image, and the TIR all-sky-view camera developed in this work exhibits good feasibility for long-term and continuous cloud observation.

Intersatellite Calibration of Kalpana Thermal Infrared Channel Using AIRS Hyperspectral Observations

2012 ◽  
Vol 9 (4) ◽  
pp. 687-689 ◽  
Author(s):  
M. V. Shukla ◽  
P. K. Thapliyal ◽  
J. H. Bisht ◽  
K. N. Mankad ◽  
P. K. Pal ◽  
...  
Keyword(s):  
Thermal Infrared ◽  
Intersatellite Calibration ◽  
Infrared Channel

Time series of cross-calibration of HJ-1B thermal infrared channel

2011 ◽  
Author(s):  
Li Liu ◽  
Xing-Fa Gu ◽  
Tao Yu ◽  
Xiao-Ying Li ◽  
Hai-Liang Gao ◽  
...  
Keyword(s):  
Time Series ◽  
Thermal Infrared ◽  
Cross Calibration ◽  
Infrared Channel

Calibration and analysis of HJ-1B/IRS thermal infrared channel based on the historical data

2016 ◽  
Vol 45 (3) ◽  
pp. 0304004
Author(s):  
杨红艳 Yang Hongyan ◽  
李家国 Li Jiaguo ◽  
朱 利 Zhu Li ◽  
殷亚秋 Yin Yaqiu ◽  
张永红 Zhang Yonghong ◽  
...  
Keyword(s):  
Historical Data ◽  
Thermal Infrared ◽  
Infrared Channel

scholarly journals Data Validation and Case Studies using the TET-1 Thermal Infrared Satellite System

2015 ◽  
Vol XL-7/W3 ◽  
pp. 1177-1182 ◽  
Author(s):  
C. Fischer ◽  
D. Klein ◽  
G. Kerr ◽  
E. Stein ◽  
E. Lorenz ◽  
...  
Keyword(s):  
Land Surface ◽  
Spectral Characteristics ◽  
Thermal Infrared ◽  
Satellite System ◽  
Radiative Power ◽  
Spectral Algorithm ◽  
Higher Temperature ◽  
Linear Nature ◽  
Fire Radiative Power ◽  
Infrared Channel

Based on the DLR satellite system BIRD, launched and operated in the early 2000, the TET-1 satellite has been launched in 2012 as part of the FireBird satellite constellation. The constellation will consist of two satellites, the second one to be launched in the first half of 2016. Acquired imagery is processed and archived by DLR and will be publicly available. For this purpose, a processing chain has been implemented converting raw data (level 0 product) to geo-annotated at-sensor radiance (level 1b). Further data products can be derived, e.g. information on brightness temperature, fire radiative power, and surface emissivity. Other processing levels, such as atmospherically corrected reflectance, could also be produced. The sensitivity of a Thermal Infrared (TIR) sensor system depends on its spectral characteristics and its spatial resolution. Various methods for high temperature event (HTE) detection and quantification have been developed, which can be categorized into single- and multi-band algorithms. While single band methods rely on the robust demarcation of background pixels and higher temperature pixels, considered as being anomalous, the TET-1 system facilitates the application of the widely used bi-spectral algorithm approach introduced by Dozier (1981), using the mid-infrared and longwave-infrared channel. This approach takes advantage of the non-linear nature of the Planck’s curves to calculate temperatures and the HTE area on a sub-pixel basis. TIR remote sensing can make a significant contribution to the detection and, partly, the monitoring of land surface temperature (LST), HTE and of parameters describing the surface energy balance for specific areas.

Copper-Filled Through-Hole Electrode of a ZnS Window Material for Sealing a Thermal Infrared Sensor

2010 ◽  
Vol 130 (9) ◽  
pp. 437-442
Author(s):  
Takafumi Fukumoto ◽  
Naoki Okamoto ◽  
Yoshimi Ohta ◽  
Yasuhiro Fukuyama ◽  
Masaki Hirota ◽  
...  
Keyword(s):  
Thermal Infrared ◽  
Infrared Sensor ◽  
Window Material ◽  
Through Hole
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