Dr. Joel T. McCorkel Profile

Dr. Joel T. McCorkel

Reserch Physical Scientist at NASA Goddard Space Flight Ctr

SPIE Involvement:

Conference Program Committee | Author

Publications (44)

Proceedings Article | 4 October 2023 Presentation + Paper

Spectral and radiometric performance of the Goddard laser for absolute measurement of radiance

Julia Barsi, Joel McCorkel, Brendan McAndrew, Timothy Shuman, Andrei Sushkov, Michael Rodriguez, Nicholas Reed

Proceedings Volume 12685, 126850A (2023) https://doi.org/10.1117/12.2678195

KEYWORDS: Radiometry, Calibration, Fluorescence, Radiometric calibration, Integrating spheres, Optical parametric oscillators, Imaging systems, Spectral response

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Proceedings Article | 4 October 2023 Presentation + Paper

GSFC Calibration Laboratory capabilities and future plans overview

Nathan Kelley, Joel McCorkel, Erich Wanzek, Georgie Georgiev, Julia Barsi, Brendan McAndrew, Boryana Efremova

Proceedings Volume 12685, 126850B (2023) https://doi.org/10.1117/12.2681380

KEYWORDS: Calibration, Optical spheres, Lamps, Radiometry, Diffusers, Radiometric calibration, Equipment, Tunable lasers, Spectral calibration, Free electron lasers

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Proceedings Article | 15 June 2023 Presentation + Paper

Dual and multi-spectral band SLS infrared camera systems

Murzy Jhabvala, Donald Jennings, Kyle Turck, Compton Tucker, Allen Lunsford, Christine Jhabvala, Analia Cillis, Joel Mccorkel, Jason Hair, Doug Morton, Dong Wu, Markus Loose, Fred Wang, Tilak Hewagama, Mani Sundaram, Jason Bundas, K. Choi, Corey Tucker

Proceedings Volume 12514, 1251404 (2023) https://doi.org/10.1117/12.2666075

KEYWORDS: Dark current, Equipment, Optical filters, Spectral response, Infrared imaging, Readout integrated circuits, Quantum efficiency

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Based on the recent success of our strained-layer superlattice (SLS)-based infrared (IR) camera that performed Earth imaging from the International Space Station (ISS) in 2019 we have built, what we consider, to be the next generation multi-band SLS imaging system. The Compact Thermal Imager (CTI) was installed on the Robotic Refueling Mission 3 (RRM3) and attached to the exterior of the ISS. From this location we were able to capture 15 million images of a multitude of fires around the globe in 2019. This unexpected trove of data initiated quite a bit of scientific interest to further utilize this imaging capability but would include features to more precisely monitor terrestrial fires and other surface phenomena. To this end, we developed a technique to install specific bandpass filters directly onto the SLS detector hybrid assembly. Utilizing this technique we have built a CTI-2 camera system with two filters, 4 and 11μm, and have made a second detector assembly with six filter bands from 4- 12μm. This second system will also be used to supplement Landsat remote imaging monitoring approximate land surface temperatures, monitor evapotranspiration, sea ice and glacier dynamics. The CTI-2 camera is based on a 1,024x1,024 (1kx1k) format SLS detector hybridized to a FLIR ISC0404 readout integrated circuit (ROIC). The six band SLS focal plane array is based on the 640x512 FLIR ISC 9803 ROIC. This camera system is based on the Landsat 8 and 9 Thermal IR Sensors (TIRS) instrument and one of its purposes is to perform ground truthing for the Landsat 8/9 data at higher spectral resolution. Both Landsat TIRS instruments are dual band thermal IR sensors centered on 11 and 12μm (each with about a 1μm bandpass). Both of our SLS systems utilize a Ricor K548 cryocooler. To streamline costs and development time we used commercial optics and both commercial and custom NASA electronic components. A primary feature of these camera systems is the incorporation of specific filters to collect fire data at ~3.9μm and thermal data at ~11μm. The CTI- 2 instrument is designed for 37 m /pixel spatial resolution from 410km orbit (ISS orbit). In this paper, we will present the design and performance of the focal plane, optics, electronics and mechanical structure of the dual-band CTI-2 and the focal plane performance of the six-band focal plane.

SPIE Journal Paper | 13 September 2022

Geostationary operational environmental satellite-R advanced baseline imager reflective solar band absolute validation using Sonoran desert scenes

Aaron Pearlman, Francis Padula, Monica Cook, Boryana Efremova, Joel McCorkel, Xiaoxiong Xiong

JARS, Vol. 16, Issue 03, 034530, (September 2022) https://doi.org/10.1117/12.10.1117/1.JRS.16.034530

KEYWORDS: Satellites, Bidirectional reflectance transmission function, Reflectivity, Sensors, Satellite imaging, MODIS, Imaging systems, Clouds, Earth observing sensors, Radiative transfer

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Proceedings Article | 20 September 2020 Presentation + Paper

Mitigating the GOES-17 ABI thermal anomaly using predictive calibration

David Pogorzala, Jon Fulbright, Elizabeth Kline, Boryana Efremova, Joel McCorkel, John Van Naarden

Proceedings Volume 11530, 115300O (2020) https://doi.org/10.1117/12.2574160

KEYWORDS: Calibration, Sensors, Temperature metrology, Imaging systems, Cooling systems, Detection and tracking algorithms, Image quality

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The GOES-17 Advanced Baseline Imager (ABI) has an anomaly with its on-board cooling system that prevents it from maintaining its Focal Plane Modules (FPMs) at cold, optimal temperatures. Because of this, during certain times of the year the FPMs and their detectors warm and cool throughout the day. Changing the detectors’ temperature changes their response to incoming radiance, which leads to calibration errors over time and degrades the imagery. Numerous mitigation strategies have been implemented to reduce the solar insolation on the instrument and to mitigate image degradation, including semi-annual yaw flips and changing the integration time of the detectors twice daily. These and other mitigations all work with the baseline calibration algorithms currently in place on the GOES-R Ground System. In an attempt to reduce the image degradation even further, the ABI vendor designed a new calibration scheme that predicts key parameters forward in time to account for the drifting FPM temperatures. These parameters, the linear gain term and dark current scene, are nominally updated on orbit every 5 minutes and 30 seconds, respectively. However, even at these relatively short cadences the detectors can change temperature, thereby rendering the parameters invalid for accurate calibration. By projecting these parameters forward in time the radiometric bias is reduced and image quality improves. This Predictive Calibration modification was deployed to operations on July 25, 2019, following several months of extensive testing and optimization by the GOES-R science teams. During this time several parameters and thresholds were tuned to ensure Predictive Calibration was turning on and off at the optimal times. Since going into operations users have seen noticeable improvement to the imagery and its calibration. This paper will discuss the fundamental assumptions behind the baseline equations and highlight the changes introduced by Predictive Calibration. Results will show the improvements to the calibration of the operational L1b products and reduction in image degradation.

Proceedings Article | 14 September 2020 Presentation + Paper

Validation of GOES-17 ABI reflective channels performance: Salar de Uyuni 2018 field campaign results

Boryana Efremova, Joel McCorkel, Alexander Krimchansky, Jason Hair, Marcos Andrade

Proceedings Volume 11501, 115011B (2020) https://doi.org/10.1117/12.2568601

KEYWORDS: Reflectivity, Atmospheric modeling, Calibration, Sensors, Imaging systems, In situ metrology, Radiative transfer, Target detection

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Proceedings Article | 28 August 2020 Presentation + Paper

Landsat 9 mission update and status

Brian Markham, Del Jenstrom, Brian Sauer, Steven Pszcolka, Vicki Dulski, Jason Hair, Joel McCorkel, Geir Kvaran, Kurtis Thome, Matthew Montanaro, Jeffrey Pedelty, Cody Anderson, Michael Choate, Julia Barsi, Edward Kaita, Jeffrey Miller

Proceedings Volume 11501, 115010O (2020) https://doi.org/10.1117/12.2569748

KEYWORDS: Landsat, Earth observing sensors, Space operations, Stray light, Sensors, Signal to noise ratio, Observatories, Short wave infrared radiation, Calibration

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SPIE Journal Paper | 30 June 2020

Reflective solar band striping mitigation method for the GOES-R series advanced baseline imager using special scans

Monica Cook, Francis Padula, Dave Pogorzala, Aaron Pearlman, Joel McCorkel, Alexander Krimchansky

JARS, Vol. 14, Issue 03, 032409, (June 2020) https://doi.org/10.1117/12.10.1117/1.JRS.14.032409

KEYWORDS: Sensors, Calibration, Image quality, Reflectivity, Imaging systems, Clouds, Staring arrays, Mirrors, Target detection

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Proceedings Article | 9 September 2019 Paper

JPSS-2 VIIRS version 2 at-launch relative spectral response characterization

Chris Moeller, Tom Schwarting, Joel McCorkel, David Moyer, Jeff McIntire

Proceedings Volume 11127, 111270D (2019) https://doi.org/10.1117/12.2530022

KEYWORDS: Sensors, Calibration

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Proceedings Article | 9 September 2019 Presentation + Paper

The Operational Land Imager-2: prelaunch spectral characterization

Julia Barsi, Brian Markham, Joel McCorkel, Brendan McAndrew, Eric Donley, Eric Morland, James Pharr, Michael Rodriguez, Tim Shuman, Andrei Sushkov, Barbara Zukowski

Proceedings Volume 11127, 111270B (2019) https://doi.org/10.1117/12.2529776

KEYWORDS: Sensors, Earth observing sensors, Landsat, Calibration, Optical parametric oscillators, Optical filters, Radiometry, Near infrared

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Proceedings Article | 9 September 2019 Presentation + Paper

Time resolved irradiance of an integrating sphere illuminated by a mode-locked optical parametric oscillator

Brendan McAndrew, Joel McCorkel

Proceedings Volume 11127, 111270K (2019) https://doi.org/10.1117/12.2530295

KEYWORDS: Integrating spheres, Calibration, Mode locking, Optical spheres, Sensors, Optical parametric oscillators, Oscilloscopes, Picosecond phenomena, Reflectivity, Signal to noise ratio

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Proceedings Article | 23 October 2018 Paper

Landsat-8 on-orbit and Landsat-9 pre-launch sensor radiometric characterization

Brian Markham, Julia Barsi, Matthew Montanaro, Joel McCorkel, Aaron Gerace, Jeffrey Pedelty, Simon Hook, Nina Raqueno, Cody Anderson, Md Obaidul Haque

Proceedings Volume 10781, 1078104 (2018) https://doi.org/10.1117/12.2324715

KEYWORDS: Sensors, Earth observing sensors, Landsat, Stray light, Calibration, Lamps, Signal to noise ratio, Infrared sensors, Electronics, Diffusers

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Landsat-8 has been operating on-orbit for 5+ years. Its two sensors, the Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS), are continuing to produce high quality data. The OLI has been radiometrically stable at the better than 0.3% level on a band average basis for all but the shortest wavelength (443 nm) band, which has degraded about 1.3% since launch. All on-board calibration devices continue to perform well and consistently. No gaps in across track coverage exist as 100% operability of the detectors is maintained. The variability over time of detector responsivity within a band relative to the average is better than 0.05% (1 sigma), though there are occasional detectors that jump up to 1.5% in response in the Short-Wave InfraRed (SWIR) bands. Signal-to-Noise performance continues at 2-3x better than requirements, with a small degradation in the 443 nm band commensurate with the loss in sensitivity. Pre-launch error analysis, combined with the stability of the OLI indicates that the absolute reflectance calibration uncertainty is better than 3%; comparisons to ground measurements and comparisons to other sensors are consistent with this. The Landsat-8 TIRS is similarly radiometrically stable, showing changes of at most 0.3% over the mission. The uncertainty in the absolute calibration as well as the detector to detector variability are largely driven by the stray light response of TIRS. The current processing corrects most of the stray light effects, resulting in absolute uncertainties of ~1% and reduced striping. Efforts continue to further reduce the striping. Noise equivalent delta temperature is about 50 mK at typical temperatures and 100% detector operability is maintained. Landsat-9 is currently under development with a launch no earlier than December 2020. The nearly identical OLI-2 and upgraded TIRS-2 sensors have completed integration and are in the process of instrument level performance characterization including spectral, spatial, radiometric and geometric testing. Component and assembly level measurements of the OLI-2, which include spectral response, radiometric response and stray light indicate comparable performance to OLI. The first functional tests occurred in July 2018 and spatial performance testing in vacuum is scheduled for August 2018. Similarly, for TIRS-2, partially integrated instrument level testing indicated spectral and spatial responses comparable to TIRS, with stray light reduced by approximately an order of magnitude from TIRS.

Proceedings Article | 7 September 2018 Presentation + Paper

Landsat 9 Thermal Infrared Sensor 2 pre-launch characterization: initial imaging and spectral performance results

Aaron Pearlman, Joel McCorkel, Matthew Montanaro, Boryana Efremova, Brian Wenny, Allen Lunsford, Amy Simon, Jason Hair, Dennis Reuter

Proceedings Volume 10764, 1076406 (2018) https://doi.org/10.1117/12.2321084

KEYWORDS: Stray light, Signal detection, Sensors, Earth observing sensors, Landsat, Calibration, Infrared sensors, Spectral calibration, Spatial analysis, Image resolution

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Proceedings Article | 7 September 2018 Presentation + Paper

Spectral testing of the Landsat-9 OLI-2 instrument using the Goddard Laser Absolute Measurement of Radiance (GLAMR)

Julia Barsi, Joel McCorkel, Brendan McAndrew, Barbara Zukowski, Timothy Shuman, Shaida Johnston, Brian Markham

Proceedings Volume 10764, 1076405 (2018) https://doi.org/10.1117/12.2321192

KEYWORDS: Earth observing sensors, Landsat, Optical spheres, Sensors, Calibration, Radiometry, Optical parametric oscillators

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Proceedings Article | 18 October 2017 Presentation

Landsat 9 TIRS-2 prelaunch calibration approach (Conference Presentation)

Joel McCorkel

Proceedings Volume 10423, 104230Y (2017) https://doi.org/10.1117/12.2278871

KEYWORDS: Stray light, Earth observing sensors, Sensors, Landsat, Calibration, Performance modeling, Infrared sensors, Sensor calibration, Light scattering, Satellite imaging

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SPIE Journal Paper | 6 October 2017 Open Access

Development of a simulation environment to support intercalibration studies over the Algodones Dunes system

Rehman Eon, Aaron Gerace, Matthew Montanaro, Brittany Ambeau, Joel McCorkel

JARS, Vol. 12, Issue 01, 012008, (October 2017) https://doi.org/10.1117/12.10.1117/1.JRS.12.012008

KEYWORDS: Sensors, MODIS, Earth observing sensors, Landsat, Calibration, Satellites, Bidirectional reflectance transmission function, Atmospheric modeling, RGB color model, Environmental sensing

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SPIE Journal Paper | 18 September 2017 Open Access

Overview of the 2015 Algodones Sand Dunes field campaign to support sensor intercalibration

Joel McCorkel, Charles Bachmann, Craig Coburn, Aaron Gerace, Larry Leigh, Jeffrey Czapla-Myers, Dennis Helder, Bruce Cook

JARS, Vol. 12, Issue 01, 012003, (September 2017) https://doi.org/10.1117/12.10.1117/1.JRS.12.012003

KEYWORDS: Bidirectional reflectance transmission function, Earth observing sensors, Landsat, Zoom lenses, Sensors, Calibration, Reflectivity, Spectrometers, LIDAR, Data modeling

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SPIE Journal Paper | 16 September 2017 Open Access

Earth-observing satellite intercomparison using the Radiometric Calibration Test Site at Railroad Valley

Jeffrey Czapla-Myers, Joel McCorkel, Nikolaus Anderson, Stuart Biggar

JARS, Vol. 12, Issue 01, 012004, (September 2017) https://doi.org/10.1117/12.10.1117/1.JRS.12.012004

KEYWORDS: Calibration, Sensors, Satellites, Earth observing sensors, Landsat, MODIS, Multispectral imaging, Reflectivity, Radiometry, Atmospheric particles

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Proceedings Article | 19 November 2016 Presentation

Algodones Dunes characterization in support of model parametrization for sensor harmonization (Conference Presentation)

Joel McCorkel

Proceedings Volume 9972, 99720H (2016) https://doi.org/10.1117/12.2238601

KEYWORDS: Earth observing sensors, Systems modeling, Sensors, Landsat, MODIS, Satellites, Model-based design, Environmental sensing, Climatology, Reflectivity

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Proceedings Article | 19 November 2016 Presentation

Demonstrating the error budget for the climate absolute radiance and refractivity observatory through solar irradiance measurements (Conference Presentation)

Kurtis Thome, Joel McCorkel, Amit Angal

Proceedings Volume 9972, 997217 (2016) https://doi.org/10.1117/12.2238302

KEYWORDS: Calibration, Environmental sensing, Climatology, Observatories, Climate change, Reflectivity, Imaging systems, Sensors, Cadmium sulfide, Data conversion

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Proceedings Article | 19 September 2016 Paper

Results from source-based and detector-based calibrations of a CLARREO calibration demonstration system

Amit Angal, Joel McCorkel, Kurt Thome

Proceedings Volume 9972, 997206 (2016) https://doi.org/10.1117/12.2238634

KEYWORDS: Calibration, Sensors, Tunable lasers, Environmental sensing, Remote sensing, Reflectivity, Imaging systems, Radiometry, Lamps, Free electron lasers

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Proceedings Article | 19 September 2016 Paper

Evaluation of GLAMR-based calibration for SI-traceable field reflectance retrievals

Amit Angal, Joel McCorkel, Kurt Thome

Proceedings Volume 9972, 99721U (2016) https://doi.org/10.1117/12.2238630

KEYWORDS: Earth observing sensors, Calibration, Reflectivity, Sensors, Environmental sensing, Spectroscopy, LIDAR, Landsat, Thermography, Imaging systems

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Proceedings Article | 19 September 2016 Presentation + Paper

The characterization of a DIRSIG simulation environment to support the inter-calibration of spaceborne sensors

Brittany Ambeau, Aaron Gerace, Matthew Montanaro, Joel McCorkel

Proceedings Volume 9972, 99720M (2016) https://doi.org/10.1117/12.2238317

KEYWORDS: Remote sensing, Landsat, Digital imaging, MODIS, Bidirectional reflectance transmission function, Sensors, Earth observing sensors, Backscatter, Data modeling, Image sensors

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Proceedings Article | 8 September 2015 Paper

Radiometric cross-calibration of Terra ASTER and MODIS

Karen Yuan, Kurt Thome, Joel McCorkel

Proceedings Volume 9607, 960724 (2015) https://doi.org/10.1117/12.2185539

KEYWORDS: MODIS, Sensors, Calibration, Near infrared, Spatial resolution, Reflectivity, Satellites, Radiometry, Earth observing sensors, Thermography

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Calibration and validation play an essential role during the acquisition and processing of satellite data for Earth Observing System satellites in addition to being an integral part of maintaining scientific values of archived satellite data. The Advanced Spaceborne Thermal Emission and Reflection and Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS) are two of five sensors onboard the Terra platform. ASTER has a swath width of 60 km with 8 spectral bands in the visible and near infrared (VNIR) and thermal infrared (TIR) spectral range with a spatial resolution of 15-m (bands 1-3) and 90-m (bands 10-14), respectively while MODIS has a swath width of 2300 km with 36 spectral bands from visible to infrared spectral range with a spatial resolution of 250 m (bands 1-2), 500 m (bands 3-7), and 1 km (bands 8-36). ASTER is the ‘zoom’ lens and MODIS is the ‘keystone’ instrument for Terra; they provide quantitative measurements of various earth system variables to the scientific and to the broader community. The simultaneous view of the sensors simplifies the intercomparison between them and the current work relies on the use of the Railroad Valley Playa test site to reduce uncertainties caused by spatial heterogeneity and spectral differences in the sensors. The fact that Railroad Valley is a calibration test site for ASTER ensures that ASTER was tasked at a higher rate over this area providing more scenes for an intercomparison. The study compares ASTER L1B data for the three VNIR bands reprocessed with recent calibration updates and MODIS 02 Collection 6 data products for the similar bands. No correction for geometry angle is needed and coincident 3-km by 3-km regions are used to reduce the impact of spatial heterogeneity. A correction for spectral differences between the sensors is applied based on seasonal averages of EO-1 Hyperion spectral range. Results indicate that the calibrated radiance products from the two sensors agree to within the combined absolute uncertainties. There is no statistically significant temporal trend between the two and this should allow the correction between the two to within 0.5% over the 10 years studied here.

Proceedings Article | 8 September 2015 Paper

VIIRS/J1 polarization narrative

Eugene Waluschka, Joel McCorkel, Jeff McIntire, David Moyer, Brendan McAndrew, Steven Brown, Keith Lykke, James Young, Eric Fest, James Butler, Tung Wang, Eslim Monroy, Kevin Turpie, Gerhard Meister, Kurtis Thome

Proceedings Volume 9607, 960712 (2015) https://doi.org/10.1117/12.2190138

KEYWORDS: Polarization, Sensors, Polarizers, Optical filters, Calibration, Bandpass filters, Mirrors, Stray light, Radiometry, Integrating spheres

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Proceedings Article | 8 September 2015 Paper

Online resource for Earth-observing satellite sensor calibration

J. McCorkel, J. Czapla-Myers, K. Thome, B. Wenny

Proceedings Volume 9607, 96070B (2015) https://doi.org/10.1117/12.2188741

KEYWORDS: Calibration, Reflectivity, Sensors, Sensor calibration, Satellites, Databases, Radiometry, Clouds, Sun, Earth observing sensors

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Proceedings Article | 8 September 2015 Paper

Radiometric calibration of G-LiHT's imaging spectrometer using GLAMR for satellite sensor intercalibration

Amit Angal, Joel McCorkel, Bruce Cook, Lawrence Corp, Kurt Thome

Proceedings Volume 9607, 96070C (2015) https://doi.org/10.1117/12.2188763

KEYWORDS: Calibration, Sensors, Spectroscopy, Radiometry, Landsat, Satellites, Integrating spheres, Tunable lasers, Reflectivity, Earth observing sensors

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Proceedings Article | 8 September 2015 Paper

Demonstrating the error budget for the Climate Absolute Radiance and Refractivity Observatory through solar irradiance measurements

Kurtis Thome, Joel McCorkel, Brendan McAndrew

Proceedings Volume 9607, 96071C (2015) https://doi.org/10.1117/12.2188849

KEYWORDS: Sensors, Calibration, Reflectivity, Spectroscopy, Climate change, Imaging systems, Signal to noise ratio, Polarization, Climatology, Environmental sensing

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Proceedings Article | 3 June 2015 Paper

Data products of NASA Goddard’s LiDAR, hyperspectral, and thermal airborne imager (G-LiHT)

Lawrence Corp, Bruce Cook, Joel McCorkel, Elizabeth Middleton

Proceedings Volume 9482, 94821D (2015) https://doi.org/10.1117/12.2177083

KEYWORDS: LIDAR, Spectroscopy, Calibration, RGB color model, Sensors, Imaging systems, Thermography, Reflectivity, Data modeling, Vegetation

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Proceedings Article | 21 May 2015 Paper

The development of a DIRSIG simulation environment to support instrument trade studies for the SOLARIS sensor

Aaron Gerace, Adam Goodenough, Matthew Montanaro, Jie Yang, Joel McCorkel

Proceedings Volume 9472, 947214 (2015) https://doi.org/10.1117/12.2177507

KEYWORDS: Sensors, Bidirectional reflectance transmission function, RGB color model, Data modeling, Calibration, Atmospheric modeling, MODIS, Device simulation, Environmental sensing, Image sensors

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Proceedings Article | 26 September 2014 Paper

Cross-calibration of Earth Observing System Terra satellite sensors MODIS and ASTER

J. McCorkel

Proceedings Volume 9218, 92180X (2014) https://doi.org/10.1117/12.2062498

KEYWORDS: MODIS, Sensors, Apodization, Satellites, Calibration, Clouds, Near infrared, Imaging systems, Earth observing sensors, Satellite imaging

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Proceedings Article | 23 September 2013 Paper

Error budget for a calibration demonstration system for the reflected solar instrument for the climate absolute radiance and refractivity observatory

Kurtis Thome, Joel McCorkel, Brendan McAndrew

Proceedings Volume 8870, 887008 (2013) https://doi.org/10.1117/12.2024562

KEYWORDS: Calibration, Sensors, Reflectivity, Remote sensing, Climate change, Spectroscopy, Climatology, Attenuators, Stray light, Interference (communication)

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Proceedings Article | 23 October 2012 Paper

Test plan for a calibration demonstration system for the reflected solar instrument for the climate absolute radiance and refractivity observatory

Kurtis Thome, Joel McCorkel, Jason Hair, Brendan McAndrew, Adrian Daw, Donald Jennings, Douglas Rabin

Proceedings Volume 8516, 851602 (2012) https://doi.org/10.1117/12.930337

KEYWORDS: Calibration, Sensors, Reflectivity, Radiometry, Climate change, Remote sensing, Spectroscopy, Signal to noise ratio, Cadmium sulfide, Instrument modeling

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Proceedings Article | 15 October 2012 Paper

Cross-calibration of imaging sensors using model-based, SI-traceable predictions of AT-sensor radiance

Kurtis Thome, Joel McCorkel

Proceedings Volume 8510, 85100N (2012) https://doi.org/10.1117/12.930309

KEYWORDS: Sensors, Calibration, Reflectivity, Atmospheric modeling, Sensor calibration, Error analysis, MODIS, Optical sensors, Model-based design, Spatial resolution

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Proceedings Article | 15 October 2012 Paper

Instrumentation and first results of the reflected solar demonstration system for the Climate Absolute Radiance and Refractivity Observatory

J. McCorkel, K. Thome, J. Hair, B. McAndrew, D. Jennings, D. Rabin, A. Daw, A. Lunsford

Proceedings Volume 8510, 85100B (2012) https://doi.org/10.1117/12.930950

KEYWORDS: Sensors, Calibration, Radiometry, Remote sensing, Reflectivity, Climatology, Spectroscopy, Silicon, Environmental sensing, Climate change

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Proceedings Article | 16 September 2011 Paper

Progress in the development of airborne remote sensing instrumentation for the National Ecological Observatory Network

Thomas Kampe, Joel McCorkel, Louise Hamlin, Robert Green, Keith Krause, Brian Johnson

Proceedings Volume 8156, 81560A (2011) https://doi.org/10.1117/12.892572

KEYWORDS: Neon, Spectroscopy, LIDAR, Signal to noise ratio, Observatories, Sensors, Vegetation, Ecosystems, Remote sensing, Airborne remote sensing

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Proceedings Article | 14 September 2011 Paper

NEON ground validation capabilities for airborne and space-based imagers

Joel McCorkel, Michele Kuester, Brian Johnson, Thomas Kampe

Proceedings Volume 8153, 81530Z (2011) https://doi.org/10.1117/12.894370

KEYWORDS: Sensors, Neon, Reflectivity, Calibration, Spectroscopy, Imaging systems, Atmospheric modeling, Aerosols, Vegetation, Earth observing sensors

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Proceedings Article | 7 September 2011 Paper

Early algorithm development efforts for the National Ecological Observatory Network Airborne Observation Platform imaging spectrometer and waveform lidar instruments

Keith Krause, Michele Kuester, Brian Johnson, Joel McCorkel, Thomas Kampe

Proceedings Volume 8158, 81580D (2011) https://doi.org/10.1117/12.894178

KEYWORDS: Neon, LIDAR, Algorithm development, Spectroscopy, Vegetation, Prototyping, Reflectivity, Observatories, Spatial resolution, Satellites

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Proceedings Article | 21 August 2009 Paper

Transmittance measurement of a heliostat facility used in the preflight radiometric calibration of Earth-observing sensors

J. Czapla-Myers, K. Thome, N. Anderson, J. McCorkel, N. Leisso, W. Good, S. Collins

Proceedings Volume 7452, 74520P (2009) https://doi.org/10.1117/12.828873

KEYWORDS: Transmittance, Calibration, Radiometry, Mirrors, Sun, Aerospace engineering, Sensor calibration, Earth observing sensors, Sensors, Solar energy

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Proceedings Article | 21 August 2009 Paper

Radiometric characterization of hyperspectral imagers using multispectral sensors

Joel McCorkel, Kurt Thome, Nathan Leisso, Nikolaus Anderson, Jeff Czapla-Myers

Proceedings Volume 7452, 745210 (2009) https://doi.org/10.1117/12.828608

KEYWORDS: Sensors, MODIS, Calibration, Image sensors, Hyperspectral imaging, Sensor calibration, Reflectivity, Imaging systems, Solids, Image acquisition

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Proceedings Article | 20 August 2008 Paper

Temporal, spectral, and spatial study of the automated vicarious calibration test site at Railroad Valley, Nevada

Jeffrey Czapla-Myers, Kurtis Thome, Byron Cocilovo, Joel McCorkel, John Buchanan

Proceedings Volume 7081, 70810I (2008) https://doi.org/10.1117/12.795551

KEYWORDS: Calibration, Earth observing sensors, Radiometry, Sensors, High resolution satellite images, Reflectivity, Light emitting diodes, Satellites, Remote sensing, Landsat

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Proceedings Article | 5 October 2007 Paper

Retrieval of surface BRDF for reflectance-based calibration

K. Thome, J. Czapla-Myers, J. McCorkel

Proceedings Volume 6677, 66770T (2007) https://doi.org/10.1117/12.734847

KEYWORDS: Radiometry, Bidirectional reflectance transmission function, Sensors, Reflectivity, Calibration, MODIS, Aerosols, Cameras, Sun, Atmospheric modeling

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Proceedings Article | 7 September 2006 Paper

Radiometric calibration of Advanced Land Imager using reflectance-based results between 2001 and 2005

J. McCorkel, K. Thome, S. Biggar, M. Kuester

Proceedings Volume 6296, 62960G (2006) https://doi.org/10.1117/12.679892

KEYWORDS: Alternate lighting of surfaces, Sensors, Calibration, Landsat, Reflectivity, Remote sensing, Satellites, Imaging systems, Atmospheric sensing, Earth observing sensors

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Proceedings Article | 22 August 2005 Paper

Vicarious calibration of the ASTER SWIR sensor including crosstalk correction

Stuart Biggar, Kurtis Thome, Joel McCorkel, Jessica D'Amico

Proceedings Volume 5882, 588217 (2005) https://doi.org/10.1117/12.620090

KEYWORDS: Calibration, Short wave infrared radiation, Sensors, Reflectivity, Radiometry, Radio optics, Space telescopes, Telescopes, Spectroscopy, Space operations

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