Results 271 to 280 of about 5,227,350 (303)

Landsat-8 TIRS thermal radiometric calibration status

Earth Observing Systems XXII, 2017
The Thermal Infrared Sensor (TIRS) instrument is the thermal-band imager on the Landsat-8 platform. The initial onorbit calibration estimates of the two TIRS spectral bands indicated large average radiometric calibration errors, -0.29 and -0.51 W/m2 sr μm or -2.1K and -4.4K at 300K in Bands 10 and 11, respectively, as well as high variability in the ...
Julia A. Barsi, Brian L. Markham, Matthew Montanaro, Aaron Gerace, Simon J. Hook, John R. Schott, Nina G. Raqueno, Ron Morfitt   +7 more
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Crop Classification Using Multitemporal Landsat 8 Images

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
The objective of this study is to investigate the potential of multitemporal remote sensing images for crop classification. Multi-temporal Landsat 8 OLI/TIRS C1 Level-1 images were acquired. The surface reflectance of visible and near infrared bands was used to represent the characteristics of crops.
Jingduo Song, Minfeng Xing, Yichuan Ma, Long Wang 0017, Kaiwei Luo, Xingwen Quan   +5 more
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On-orbit performance of the Landsat 8 Operational Land Imager

SPIE Proceedings, 2014
The Landsat 8 satellite was launched on February 11, 2013, to systematically collect multispectral images for detection and quantitative analysis of changes on the Earth’s surface. The collected data are stored at the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center and continue the longest archive of medium ...
Esad Micijevic, Kelly Vanderwerff, Pat L. Scaramuzza, Ron A. Morfitt, Julia A. Barsi, Raviv Levy   +5 more
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Landsat-8 TIRS radiometric calibration status

Earth Observing Systems XXV, 2020
The Landsat-8 Thermal Infrared Sensor (TIRS) has been acquiring two-band thermal infrared images of the Earth’s surface since 2013. The calibration of the two-band system has been monitored using the on-board calibrator and validated with vicarious calibration performed by NASA/Jet Propulsion Laboratory and Rochester Institute of Technology since ...
Julia A. Barsi, Brian L. Markham, Matthew Montanaro, Simon J. Hook, Nina G. Raqueno, Esad Micijevic, Kerry Cawse-Nicholson   +6 more
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Landsat 8 on-orbit characterization and calibration system

SPIE Proceedings, 2011
The Landsat Data Continuity Mission (LDCM) is planning to launch the Landsat 8 satellite in December 2012, which continues an uninterrupted record of consistently calibrated globally acquired multispectral images of the Earth started in 1972. The satellite will carry two imaging sensors: the Operational Land Imager (OLI) and the Thermal Infrared ...
Esad Micijevic, Ron Morfitt, Michael Choate   +2 more
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Recognition of Oil Contaminated Wastewater using Landsat 8 imagery

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
In this paper, an approach for oil contaminated wastewater recognition is presented. By analyzing the relationship between thermal and multispectral characteristics of clean water and oil contaminated wastewater. The Oil Contaminated Wastewater Index (OCWI) was then developed to extract the oil contaminated wastewater.
Yang Liu, Nannan Zhang, Liqun Zou, Shanhong Huang, Hongyan Guo, Wentong Dong   +5 more
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Surface object recognition with CNN and SVM in Landsat 8 images

2015 14th IAPR International Conference on Machine Vision Applications (MVA), 2015
There is a series of earth observation satellites called Landsat, which send a very large amount of image data every day such that it is hard to analyze manually. Thus an effective application of machine learning techniques to automatically analyze such data is called for.
Tomohiro Ishii, Ryosuke Nakamura, Hidemoto Nakada, Yoshihiko Mochizuki, Hiroshi Ishikawa 0002   +4 more
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Land surface temperature retrieval from Landsat-8 data

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
This work presents Land Surface Temperature (LST) retrieval from Landsat-8 data using the Generalized Split-Window (GSW) algorithm. First, radiative transfer modeling experiments were conducted using the moderate spectral resolution atmospheric transmittance algorithm and computer model (MODTRAN) 4.0 fed with SeeBor V5.0 atmospheric profile database to
Shanshan Li, Geng-Ming Jiang
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Chasing the TIRS ghosts: calibrating the Landsat 8 thermal bands

SPIE Proceedings, 2014
The Thermal Infrared Sensor (TIRS) on board Landsat 8 has exhibited a number of anomalous characteristics that have made it difficult to calibrate. These anomalies include differences in the radiometric appearance across the blackbody pre- and post-launch, variations in the cross calibration ratios between detectors that overlap on adjacent arrays ...
John R. Schott, Aaron Gerace, Nina G. Raqueno, Emmett J. Ientilucci, Rolando Raqueño, Allen W. Lunsford   +5 more
openaire   +1 more source

Landsat-8 Image Restoration Based on Kernel Density Regression

2019
A multi-temporal kernel density regression (KDR) method is proposed in this paper for reflectance restoration. Kernel density regression perform optimization to search the best regression coefficients. The proposed method is applied on the Landsat-8 dataset, and shows a better estimation of the true pixel value from the contaminated images.
Yuchen Li, Jiang Qian, Yong Wang 0011, Xiaobo Yang, Bin Duo   +4 more
openaire   +1 more source