Mr. Robert E. Wolfe Profile

Robert E. Wolfe

Computer Scientist at NASA Goddard Space Flight Ctr

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Author

Publications (21)

Proceedings Article | 4 October 2023 Presentation + Paper

JPSS-2/NOAA-21 VIIRS early on-orbit geometric performance

Ping Zhang, Guoqing Lin, John Dellomo, Bin Tan, Robert Wolfe

Proceedings Volume 12685, 1268512 (2023) https://doi.org/10.1117/12.2677378

KEYWORDS: Landsat, Image registration, Bias correction, Calibration

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Proceedings Article | 1 August 2021 Presentation + Paper

JPSS-3 VIIRS prelaunch geometric calibration and characterization status

Ping Zhang, Guoqing Lin, Robert Wolfe

Proceedings Volume 11829, 118290O (2021) https://doi.org/10.1117/12.2594809

KEYWORDS: Sensors, Landsat, Earth observing sensors, Calibration, Accuracy assessment, Image registration, Error analysis

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Proceedings Article | 1 August 2021 Presentation + Paper

Ground control points refresh for MODIS and VIIRS geolocation monitoring

Ping Zhang, Guoqing Lin, Bin Tan, Robert Wolfe

Proceedings Volume 11829, 118290Y (2021) https://doi.org/10.1117/12.2594323

KEYWORDS: MODIS, Landsat, Earth observing sensors, Image registration, Sensors, Error analysis, Accuracy assessment, Digital image correlation

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Proceedings Article | 16 September 2020 Presentation + Paper

SNPP and NOAA-20 VIIRS on-orbit geolocation trending and improvements

Guoqing Gary Lin, Robert Wolfe, John Dellomo, Bin Tan, Ping Zhang

Proceedings Volume 11501, 1150112 (2020) https://doi.org/10.1117/12.2569148

KEYWORDS: Satellites, Sensors, Satellite imaging, MODIS, Visible radiation, Infrared imaging, Radiometry, Infrared sensors, Calibration, Instrument modeling

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SPIE Journal Paper | 8 April 2020 Open Access

GOES-R series image navigation and registration performance assessment tool set

Bin Tan, John Dellomo, Christopher Folley, Thomas Grycewicz, Scott Houchin, Peter Isaacson, Patrick Johnson, Brian Porter, Alan Reth, Pradeep Thiyanaratnam, Robert Wolfe

JARS, Vol. 14, Issue 03, 032405, (April 2020) https://doi.org/10.1117/12.10.1117/1.JRS.14.032405

KEYWORDS: Image registration, Image restoration, Earth observing sensors, Landsat, Long wavelength infrared, Image enhancement, Satellites, Spatial resolution, Image quality, Error analysis

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Proceedings Article | 9 September 2019 Presentation + Paper

Thirty-six combined years of MODIS geolocation trending

Guoqing (Gary) Lin, Robert Wolfe, Ping Zhang, James Tilton, John Dellomo, Bin Tan

Proceedings Volume 11127, 1112715 (2019) https://doi.org/10.1117/12.2529447

KEYWORDS: MODIS, Radiometry, Image sensors, Sensors, Calibration, Microwave radiation, Visible radiation, Infrared imaging, Satellite imaging, Satellites

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Proceedings Article | 9 September 2019 Presentation + Paper

GOES-16 and GOES-17 ABI INR assessment

Bin Tan, John Dellomo, Robert Wolfe, Alan Reth

Proceedings Volume 11127, 111271D (2019) https://doi.org/10.1117/12.2529336

KEYWORDS: Satellites, Image quality, Imaging systems, Earth's atmosphere, Atmospheric sensing, Environmental sensing, Atmospheric optics, Image restoration, Image registration, Quality measurement

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Proceedings Article | 7 September 2018 Presentation + Paper

GOES-16 ABI navigation assessment

Bin Tan, John Dellomo, Robert Wolfe, Alan Reth

Proceedings Volume 10764, 107640G (2018) https://doi.org/10.1117/12.2321170

KEYWORDS: Earth observing sensors, Landsat, Error analysis, Satellites, Image registration, Mid-IR, Long wavelength infrared, Space operations, Calibration, Image restoration

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Proceedings Article | 7 September 2018 Presentation + Paper

JPSS-1/NOAA-20 VIIRS early on-orbit geometric performance

Guoqing Lin, Robert Wolfe, James Tilton, Ping Zhang, John Dellomo, Bin Tan

Proceedings Volume 10764, 107641H (2018) https://doi.org/10.1117/12.2320767

KEYWORDS: Space operations, Satellites, Error analysis, Staring arrays, Computer programming, Earth observing sensors, Landsat, Calibration, Instrument modeling, Stars

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Proceedings Article | 5 October 2016 Paper

Guoqing (Gary) Lin, Robert Wolfe, James Tilton

Proceedings Volume 9972, 99721K (2016) https://doi.org/10.1117/12.2239043

KEYWORDS: Satellites, Space operations, Sensors, Image resolution, Detector arrays, Nano opto mechanical systems, Visible radiation, Infrared imaging, Radiometry, Eye

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This paper describes trends in the Suomi National Polar‐orbiting Partnership (SNPP) spacecraft ephemeris data over the four and half years of on-orbit operations. It then discusses the implications of these trends on the geometric performance of the Visible Infrared Imaging Radiometer Suite (VIIRS), one of the instruments onboard SNPP. The SNPP ephemeris data includes time stamped spacecraft positions and velocities that are used to calculate the spacecraft altitude and sub-satellite locations. Through drag make-up maneuvers (DMUs) the orbital mean altitude (spacecraft altitude averaged over an orbit) has been maintained at 838.8 km to within +/- 0.2 km and the orbital period at 101.5 minutes to within +/- 0.2 seconds. The corresponding orbital mean velocity in the terrestrial frame of reference has been maintained at 7524 m/s to within +/- 0.5 m/s. Within an orbit, the altitude varies from 828 km near 15° N to 856 km near the South Pole. Inclination adjust maneuvers (IAMs) have maintained the orbit inclination angle at 98.67° to with +/- 0.07° and the sun-synchronous local time at ascending node (LTAN) at 13:28 to within +/- 5 minutes. Besides these trends, it is interesting to observe that the orbit’s elliptic shape has its major axis linking the perigee and apogee shorter than the line linking the ascending node and the descending node. This effect is caused by the Earth’s oblate spheroid shape and deviates from a Keplerian orbit theory in which the two orbiting bodies are point masses. VIIRS has 5 imagery resolution bands, 16 moderate resolution bands and a day-night band, with 32, 16 and 16 detectors, respectively, aligned in the spacecraft flight (aka. track) direction. For each band’s sample within a scan, the detectors sample the Earth’s surface simultaneously in the track direction in the Earth Centered Inertial frame of reference. The distance between the center of the area sensed by the trailing detectors of one scan and the leading detectors of the next includes a component caused by earth rotation. This earth rotation component is relatively small (~70 m/s) for an orbit like SNPP, but must be taken into account in the design of low-Earth orbit scanning sensors similar to VIIRS to ensure contiguous coverage at nadir.

Proceedings Article | 20 September 2016 Presentation + Paper

JPSS-1 VIIRS at-launch geometric performance

Guoqing Lin, Robert Wolfe

Proceedings Volume 9972, 99721L (2016) https://doi.org/10.1117/12.2238804

KEYWORDS: Sensors, Modulation transfer functions, Space operations, Satellites, Staring arrays, Sensor performance, Satellite imaging, Matrices, Visible radiation, Calibration

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Proceedings Article | 23 September 2013 Paper

SNPP VIIRS spectral bands co-registration and spatial response characterization

Guoqing Lin, James Tilton, Robert Wolfe, Krishna Tewari, Masahiro Nishihama

Proceedings Volume 8866, 88661G (2013) https://doi.org/10.1117/12.2023367

KEYWORDS: Sensors, Modulation transfer functions, Satellites, Image quality, Matrices, Landsat, Point spread functions, Image resolution, Quality measurement, Earth observing sensors

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The Visible Infrared Imager Radiometer Suite (VIIRS) instrument onboard the Suomi National Polar‐orbiting Partnership (SNPP) satellite was launched on 28 October 2011. The VIIRS has 5 imagery spectral bands (I-bands), 16 moderate resolution spectral bands (M-bands) and a panchromatic day/night band (DNB). Performance of the VIIRS spatial response and band-to-band co-registration (BBR) was measured through intensive pre-launch tests. These measurements were made in the non-aggregated zones near the start (or end) of scan for the I-bands and M-bands and for a limited number of aggregation modes for the DNB in order to test requirement compliance. This paper presents results based on a recently re-processed pre-launch test data. Sensor (detector) spatial impulse responses in the scan direction are parameterized in terms of ground dynamic field of view (GDFOV), horizontal spatial resolution (HSR), modulation transfer function (MTF), ensquared energy (EE) and integrated out-of-pixel (IOOP) spatial response. Results are presented for the non-aggregation, 2-sample and 3-sample aggregation zones for the I-bands and M-bands, and for a limited number of aggregation modes for the DNB. On-orbit GDFOVs measured for the 5 I-bands in the scan direction using a straight bridge are also presented. Band-to-band co-registration (BBR) is quantified using the prelaunch measured band-to-band offsets. These offsets may be expressed as fractions of horizontal sampling intervals (HSIs), detector spatial response parameters GDFOV or HSR. BBR bases on HSIs in the non-aggregation, 2-sample and 3-sample aggregation zones are presented. BBR matrices based on scan direction GDFOV and HSR are compared to the BBR matrix based on HSI in the non-aggregation zone. We demonstrate that BBR based on GDFOV is a better representation of footprint overlap and so this definition should be used in BBR requirement specifications. We propose that HSR not be used as the primary image quality indicator, since we show that it is neither an adequate representation of the size of sensor spatial response nor an adequate measure of imaging quality.

Proceedings Article | 15 October 2012 Paper

NPP VIIRS early on-orbit geometric performance

Robert Wolfe, Guoqing Lin, Masahiro Nishihama, Krishna Tewari, Enrique Montano

Proceedings Volume 8510, 851013 (2012) https://doi.org/10.1117/12.929925

KEYWORDS: Sensors, Calibration, MODIS, Space operations, Satellites, Mirrors, Data modeling, Staring arrays, Long wavelength infrared, Image resolution

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Proceedings Article | 14 September 2011 Paper

NPP VIIRS geometric performance status

Guoqing Lin, Robert Wolfe, Masahiro Nishihama

Proceedings Volume 8153, 81531V (2011) https://doi.org/10.1117/12.894652

KEYWORDS: Sensors, Modulation transfer functions, Staring arrays, Calibration, Point spread functions, Satellites, Space operations, Long wavelength infrared, Spatial resolution, Image resolution

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SPIE Journal Paper | 1 April 2010

Building a consistent medium resolution satellite data set using moderate resolution imaging spectroradiometer products as reference

Feng Gao, Jeffrey Masek, Robert Wolfe, Chengquan Huang

JARS, Vol. 4, Issue 01, 043526, (April 2010) https://doi.org/10.1117/12.10.1117/1.3430002

KEYWORDS: MODIS, Reflectivity, Landsat, Sensors, Spatial resolution, Satellites, Image resolution, Aerosols, Atmospheric corrections, Earth observing sensors

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Proceedings Article | 24 August 2009 Paper

Trends in MODIS geolocation error analysis

R. Wolfe, Masahiro Nishihama

Proceedings Volume 7452, 74520L (2009) https://doi.org/10.1117/12.826598

KEYWORDS: MODIS, Error analysis, Data modeling, Space operations, Satellites, Instrument modeling, Satellite imaging, Sun, Landsat, Earth observing sensors

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SPIE Journal Paper | 1 March 2009

Automated registration and orthorectification package for Landsat and Landsat-like data processing

Feng Gao, Jeffrey Masek, Robert Wolfe

JARS, Vol. 3, Issue 01, 033515, (March 2009) https://doi.org/10.1117/12.10.1117/1.3104620

KEYWORDS: Landsat, Image registration, Image resolution, Spatial resolution, Satellites, Earth observing sensors, Image processing, Satellite imaging, Sensors, Data processing

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Proceedings Article | 29 November 2007 Paper

Monitoring vegetation phenology using improved MODIS products

Yanmin Shuai, Crystal Schaaf, Alan Strahler, Xiaowen Li, Feng Gao, Jicheng Liu, Robert Wolfe, Jindi Wang, Xiaoyang Zhang, Qijiang Zhu

Proceedings Volume 6833, 68332X (2007) https://doi.org/10.1117/12.757743

KEYWORDS: Vegetation, MODIS, Bidirectional reflectance transmission function, Reflectivity, Spatial resolution, Agriculture, Remote sensing, Climatology, Algorithm development, Satellites

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Proceedings Article | 27 September 2006 Paper

Analysis of calibration difference between MODIS and MISR

A. Lyapustin, Y. Wang, R. Kahn, J. Xiong, A. Ignatov, R. Wolfe, A. Wu, C. Bruegge

Proceedings Volume 6298, 62980X (2006) https://doi.org/10.1117/12.680896

KEYWORDS: MODIS, Calibration, Clouds, Reflectivity, Near infrared, Sensors, Radiative transfer, Atmospheric modeling, Aerosols, Cameras

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Proceedings Article | 7 September 2006 Paper

MODIS solar diffuser Earthshine modeling and analysis

R. Wolfe, W. Esaias, A. Lyapustin, X. Xiong

Proceedings Volume 6296, 629606 (2006) https://doi.org/10.1117/12.681100

KEYWORDS: Atmospheric modeling, MODIS, Calibration, Diffusers, Sun, Contamination, Earth's atmosphere, Instrument modeling, Bidirectional reflectance transmission function, Reflectivity

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Proceedings Article | 7 September 2006 Paper

Improvement of MODIS RSB calibration by minimizing the Earthshine impact on solar diffuser observations

X. Xie, X. Xiong, R. Wolfe, A. Lyapustin

Proceedings Volume 6296, 629608 (2006) https://doi.org/10.1117/12.679081

KEYWORDS: Calibration, MODIS, Reflectivity, Contamination, Diffusers, Sensors, Earth's atmosphere, Atmospheric modeling, Sun, Spectral calibration

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Showing 5 of 21 publications

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