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2. ECCOE Landsat quarterly Calibration and Validation report—Quarter 3, 2023

Author

Haque, Md Obaidul, primary, Rengarajan, Rajagopalan, additional, Lubke, Mark, additional, Hasan, Md Nahid, additional, Shrestha, Ashish, additional, Shaw, Jerad L., additional, Denevan, Alex, additional, Ruslander, Kathryn, additional, Micijevic, Esad, additional, Choate, Michael J., additional, Anderson, Cody, additional, Thome, Kurt, additional, Kaita, Ed, additional, Barsi, Julia, additional, Levy, Raviv, additional, Miller, Jeff, additional, and Ding, Leibo, additional

Published
2024
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4. ECCOE Landsat quarterly Calibration and Validation report—Quarter 1, 2023

Author

Haque, Md. Obaidul, primary, Rengarajan, Rajagopalan, additional, Lubke, Mark, additional, Hasan, Md Nahid, additional, Shrestha, Ashish, additional, Tuz Zafrin Tuli, Fatima, additional, Shaw, Jerad L., additional, Denevan, Alex, additional, Franks, Shannon, additional, Micijevic, Esad, additional, Choate, Michael, additional, Anderson, Cody, additional, Thome, Kurt, additional, Kaita, Ed, additional, Barsi, Julia, additional, Levy, Raviv, additional, and Miller, Jeff, additional

Published
2023
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5. ECCOE Landsat quarterly Calibration and Validation report—Quarter 2, 2023

Author

Haque, Md. Obaidul, primary, Rengarajan, Rajagopalan, additional, Lubke, Mark, additional, Hasan, Md Nahid, additional, Shrestha, Ashish, additional, Tuz Zafrin Tuli, Fatima, additional, Shaw, Jerad L., additional, Denevan, Alex, additional, Franks, Shannon, additional, Ruslander, Kathryn, additional, Micijevic, Esad, additional, Choate, Michael J., additional, Anderson, Cody, additional, Thome, Kurt, additional, Kaita, Ed, additional, Barsi, Julia, additional, Levy, Raviv, additional, Miller, Jeff, additional, and Ding, Leibo, additional

Published
2023
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6. ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 2022

Author

Haque, Md Obaidul, primary, Rengarajan, Rajagopalan, additional, Lubke, Mark, additional, Hasan, Md Nahid, additional, Shrestha, Ashish, additional, Tuz Zafrin Tuli, Fatima, additional, Shaw, Jerad L., additional, Denevan, Alex, additional, Franks, Shannon, additional, Micijevic, Esad, additional, Choate, Michael J., additional, Anderson, Cody, additional, Thome, Kurt, additional, Kaita, Ed, additional, Barsi, Julia, additional, Levy, Raviv, additional, and Miller, Jeff, additional

Published
2023
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10. ECCOE Landsat quarterly Calibration and Validation report—Quarter 3, 2021

Author

Micijevic, Esad, primary, Rengarajan, Rajagopalan, additional, Haque, Md Obaidul, additional, Lubke, Mark, additional, Tuz Zafrin Tuli, Fatima, additional, Shaw, Jerad L., additional, Hasan, Nahid, additional, Denevan, Alex, additional, Franks, Shannon, additional, Choate, Michael J., additional, Anderson, Cody, additional, Markham, Brian, additional, Thome, Kurt, additional, Kaita, Ed, additional, Barsi, Julia, additional, Levy, Raviv, additional, and Ong, Lawrence, additional

Published
2022
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11. ECCOE Landsat Quarterly Calibration and Validation report— Quarter 4, 2021

Author

Haque, Md Obaidul, primary, Rengarajan, Rajagopalan, additional, Lubke, Mark, additional, Tuz Zafrin Tuli, Fatima, additional, Shaw, Jerad L., additional, Hasan, Md Nahid, additional, Denevan, Alex, additional, Franks, Shannon, additional, Micijevic, Esad, additional, Choate, Michael J., additional, Anderson, Cody, additional, Markham, Brian, additional, Thome, Kurt, additional, Kaita, Ed, additional, Barsi, Julia, additional, Levy, Raviv, additional, and Ong, Lawrence, additional

Published
2022
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12. ECCOE Landsat Quarterly Calibration and Validation report—Quarter 2, 2022

Author

Haque, Md Obaidul, primary, Rengarajan, Rajagopalan, additional, Lubke, Mark, additional, Hasan, Md Nahid, additional, Shrestha, Ashish, additional, Tuz Zafrin Tuli, Fatima, additional, Shaw, Jerad L., additional, Denevan, Alex, additional, Franks, Shannon, additional, Micijevic, Esad, additional, Choate, Michael J., additional, Anderson, Cody, additional, Thome, Kurt, additional, Kaita, Ed, additional, Barsi, Julia, additional, Levy, Raviv, additional, and Ong, Lawrence, additional

Published
2022
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13. Landsat Program

Author

Markham, Brian L, Arvidson, Terry, Barsi, Julia A, Choate, Michael, Kaita, Edward, Levy, Raviv, Lubke, Mark, and Masek, Jeffrey G

Subjects
Earth Resources And Remote Sensing
Abstract

Landsat initiated the revolution in moderate resolution Earth remote sensing in the 1970s. With seven successful missions over 40+ years, Landsat has documented - and continues to document - the global Earth land surface and its evolution. The Landsat missions and sensors have evolved along with the technology from a demonstration project in the analog world of visual interpretation to an operational mission in the digital world, with incremental improvements along the way in terms of spectral, spatial, radiometric and geometric performance as well as acquisition strategy, data availability, and products.

Published
2016

15. Decoupling Flat-fielding and Non-linearity Correction of a Pushbroom Radiometer – Analysis of Landsat 9 Operational Land Imager-2 Prelaunch Test Data

Author

Levy, Raviv and Markham, Brian

Abstract

One of the goals in any calibration effort for pushbroom imaging radiometers is to flat field the instrument data across the full dynamic range. A challenge when approaching levels of 1% and lower in a 14 bit system is that the non-uniformity and non-linearity become a coupled variable set. The Landsat-9 Operational Land Imager-2 (OLI2) prelaunch radiometric calibrations conducted at Ball Aerospace utilized spectral sources, large integrating spheres and rotation stages. These tools, combined with unique collects such as the integration time sweeps and yaw collects at multiple illumination levels provided the basis for improvements in the calibration of both the full field of view and the full dynamic range for all of spectral bands. In an integration time sweep, a constant source level is observed while varying the detectors’ integration time; in a yaw collect the instrument is rotated so that each detector views the same part of the illumination source. While previously we reported on the characterization of the calibration source used, this presentation will focus on how the multiple datasets were utilized to arrive at flat fielding and the non-linearity corrections. The method used enables a reduction in the uncertainty of the uniformity correction throughout the dynamic range. The uncertainty in the source non-uniformity, the source stability and the instrument under test stability are the three limiting factors. The data sources, the types of non-linearities, the differences between integration time sweeps and radiance collects, the representations of the non-linearity and the validation of the relative gain corrections throughout the dynamic range will be presented.

Published
2020

19. Radiometric Source Uniformity Characterization with Angular Scans: Landsat-9 OLI-2 Experience

Author

Levy, Raviv, Kvaran, Geir, and Markham, Brian

Subjects
Astrophysics::Instrumentation and Methods for Astrophysics
Abstract

Recent imaging pushbroom radiometers with up to 30000 detectors per band in multiple modules and with dynamic ranges of up to 14 bits are a significant challenge to flat field. While there are various methods both pre-launch and on-orbit by which uniformity correction can be estimated, pre-launch calibration collects offer some of the lowest uncertainties. The Landsat-9 Operational Land Imager-2 (OLI2) prelaunch radiometric calibrations conducted at Ball Aerospace utilized spectral sources, large integrating spheres and rotation stages. The combination of these tools enables the calibration of the instrument’s radiometric response for the full field of view and dynamic range for each of its spectral bands. The uniformity characterization data for OLI2 were obtained by continuous motion yaw scans at multiple elevation angles, multiple source signal levels and wider angular range while the instrument is in the thermal vacuum chamber. The source used for the collects was a well-controlled tungsten halogen lamp illuminated integrating sphere. The yaw scans enables a creation of a sphere uniformity map for every band. The the uniformity map is 1° by 2.1° zone centered on the integrating sphere port. This extent is larger than the field of view of a single focal plan module (FPM). Effectively these data collects are mimicking the on-orbit side slither collects that are done on-orbit only now the target is a well-controlled stable calibration source with traceable absolute radiometric accuracy, and minimal atmospheric transmission error. The results of the radiometric uniformity characterization of OLI2 will be presented. The report will demonstrate that with the new collect method more information can be obtained in shorter amount of time and it ultimately resulted in better characterization dataset for OLI2. Description of the processing method used and the detailed information extracted from the data about quality of OLI2 and the sphere source will be provided. The uniformity corrections parameters and associated uncertainties for these uniformity correction factors will be discussed.

Published
2019

20. Advanced Land Imager Assessment System

Author

Chander, Gyanesh, Choate, Mike, Christopherson, Jon, Hollaren, Doug, Morfitt, Ron, Nelson, Jim, Nelson, Shar, Storey, James, Helder, Dennis, Ruggles, Tim, Kaita, Ed, Levy, Raviv, Ong, Lawrence, Markham, Brian, and Schweiss, Robert

Subjects
Geophysics
Abstract

The Advanced Land Imager Assessment System (ALIAS) supports radiometric and geometric image processing for the Advanced Land Imager (ALI) instrument onboard NASA s Earth Observing-1 (EO-1) satellite. ALIAS consists of two processing subsystems for radiometric and geometric processing of the ALI s multispectral imagery. The radiometric processing subsystem characterizes and corrects, where possible, radiometric qualities including: coherent, impulse; and random noise; signal-to-noise ratios (SNRs); detector operability; gain; bias; saturation levels; striping and banding; and the stability of detector performance. The geometric processing subsystem and analysis capabilities support sensor alignment calibrations, sensor chip assembly (SCA)-to-SCA alignments and band-to-band alignment; and perform geodetic accuracy assessments, modulation transfer function (MTF) characterizations, and image-to-image characterizations. ALIAS also characterizes and corrects band-toband registration, and performs systematic precision and terrain correction of ALI images. This system can geometrically correct, and automatically mosaic, the SCA image strips into a seamless, map-projected image. This system provides a large database, which enables bulk trending for all ALI image data and significant instrument telemetry. Bulk trending consists of two functions: Housekeeping Processing and Bulk Radiometric Processing. The Housekeeping function pulls telemetry and temperature information from the instrument housekeeping files and writes this information to a database for trending. The Bulk Radiometric Processing function writes statistical information from the dark data acquired before and after the Earth imagery and the lamp data to the database for trending. This allows for multi-scene statistical analyses.

Published
2008

23. Landsat 8 OLI and TIRS Calibration Updates and Trends for the Period of 4 Years of Operation

Author

Levy, Raviv, Barsi, Julia, and Markham, Brian

Abstract

Landsat 8 had been in orbit and operational for more than 4 years which brings it to the milestone of passing 80% of the official design lifetime for its Operational Land Imager (OLI) payload and past the full lifetime for the Thermal Infrared Sensor (TIRS) payload. This paper will report about the status of the operational payloads, highlighting trends and stability of the absolute and relative radiometric response. It will also describe the status of other core performance parameters such as SNR, NEdT, uniformity, highlighting how calibration updates made in the USGS data processing system to maintain and enhance the quality of the data helped in reducing uncertainties, overcoming hardware anomalies. For OLI we will present the trends for its on-board calibration components and for TIRS we will demonstrate how application of stray light correction implemented since the new Collection 1 release can assist in tightening the TIRS band 10 radiometric products accuracy.

Published
2017

31. ECCOE Landsat Quarterly Calibration and Validation Report—Quarter 1, 2022.

Author

Haque, Md Obaidul, Rengarajan, Rajagopalan, Lubke, Mark, Hasan, Md Nahid, Zafrin Tuli, Fatima Tuz, Shaw, Jerad L., Denevan, Alex, Franks, Shannon, Micijevic, Esad, Choate, Michael J., Anderson, Cody, Markham, Brian, Thome, Kurt, Kaita, Ed, Barsi, Julia, Levy, Raviv, and Ong, Lawrence

Subjects
CALIBRATION, CLIMATE change, GEOLOGICAL mapping, WATERSHEDS
Published
2022

39. ECCOE Landsat Quarterly Calibration and Validation Report—Quarter 2, 2021.

Author

Micijevic, Esad, Rengarajan, Rajagopalan, Haque, Md Obaidul, Lubke, Mark, Zafrin Tuli, Fatima Tuz, Shaw, Jerad L., Hasan, Nahid, Denevan, Alex, Franks, Shannon, Choate, Michael J., Anderson, Cody, Markham, Brian, Thome, Kurt, Kaita, Ed, Barsi, Julia, Levy, Raviv, and Ong, Lawrence

Subjects
LANDSAT satellites, REMOTE sensing, RADIOMETRY, DATA quality
Published
2021
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