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Dive into the research topics where Pat L. Scaramuzza is active.

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Featured researches published by Pat L. Scaramuzza.


Remote Sensing | 2015

Landsat-8 Operational Land Imager (OLI) Radiometric Performance On-Orbit

Ron Morfitt; Julia A. Barsi; Raviv Levy; Brian L. Markham; Esad Micijevic; Lawrence Ong; Pat L. Scaramuzza; Kelly Vanderwerff

Expectations of the Operational Land Imager (OLI) radiometric performance onboard Landsat-8 have been met or exceeded. The calibration activities that occurred prior to launch provided calibration parameters that enabled ground processing to produce imagery that met most requirements when data were transmitted to the ground. Since launch, calibration updates have improved the image quality even more, so that all requirements are met. These updates range from detector gain coefficients to reduce striping and banding to alignment parameters to improve the geometric accuracy. This paper concentrates on the on-orbit radiometric performance of the OLI, excepting the radiometric calibration performance. Topics discussed in this paper include: signal-to-noise ratios that are an order of magnitude higher than previous Landsat missions; radiometric uniformity that shows little residual banding and striping, and continues to improve; a dynamic range that limits saturation to extremely high radiance levels; extremely stable detectors; slight nonlinearity that is corrected in ground processing; detectors that are stable and 100% operable; and few image artifacts.


Photogrammetric Engineering and Remote Sensing | 2006

Landsat-7 Long-Term Acquisition Plan Radiometry - Evolution Over Time

Brian L. Markham; Samuel N. Goward; Terry Arvidson; Julia A. Barsi; Pat L. Scaramuzza

The Landsat-7 Enhanced Thematic Mapper Plus instrument has two selectable gains for each spectral band. In the acquisition plan, the gains were initially set to maximize the entropy in each scene. One unintended consequence of this strategy was that, at times, dense vegetation saturated band 4 and deserts saturated all bands. A revised strategy, based on a land-cover classification and sun angle thresholds, reduced saturation, but resulted in gain changes occurring within the same scene on multiple overpasses. As the gain changes cause some loss of data and difficulties for some ground processing systems, a procedure was devised to shift the gain changes to the nearest predicted cloudy scenes. The results are still not totally satisfactory as gain changes still impact some scenes and saturation still occurs, particularly in ephemerally snow-covered regions. A primary conclusion of our experience with variable gain on Landsat-7 is that such an approach should not be employed on future global monitoring missions.


Proceedings 2003 Sensors, Systems, and Next-Generation Satellites VI | 2003

Landsat-7 ETM+ radiometric stability and absolute calibration

Brian L. Markham; John L. Barker; Julia A. Barsi; Ed Kaita; Kurtis J. Thome; Dennis L. Helder; Frank D. Palluconi; John R. Schott; Pat L. Scaramuzza

Launched in April 1999, the Landsat-7 ETM+ instrument is in its fourth year of operation. The quality of the acquired calibrated imagery continues to be high, especially with respect to its three most important radiometric performance parameters: reflective band instrument stability to better than ±1%, reflective band absolute calibration to better than ±5%, and thermal band absolute calibration to better than ± 0.6 K. The ETM+ instrument has been the most stable of any of the Landsat instruments, in both the reflective and thermal channels. To date, the best on-board calibration source for the reflective bands has been the Full Aperture Solar Calibrator, which has indicated changes of at most -1.8% to -2.0% (95% C.I.) change per year in the ETM+ gain (band 4). However, this change is believed to be caused by changes in the solar diffuser panel, as opposed to a change in the instruments gain. This belief is based partially on ground observations, which bound the changes in gain in band 4 at -0.7% to +1.5%. Also, ETM+ stability is indicated by the monitoring of desert targets. These image-based results for four Saharan and Arabian sites, for a collection of 35 scenes over the three years since launch, bound the gain change at -0.7% to +0.5% in band 4. Thermal calibration from ground observations revealed an offset error of +0.31 W/m2 sr um soon after launch. This offset was corrected within the U. S. ground processing system at EROS Data Center on 21-Dec-00, and since then, the band 6 on-board calibration has indicated changes of at most +0.02% to +0.04% (95% C.I.) per year. The latest ground observations have detected no remaining offset error with an RMS error of ± 0.6 K. The stability and absolute calibration of the Landsat-7 ETM+ sensor make it an ideal candidate to be used as a reference source for radiometric cross-calibrating to other land remote sensing satellite systems.


Proceedings of SPIE, the International Society for Optical Engineering | 2006

Cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM with the ResourceSat-1 (IRS-P6) AWiFS and LISS-III sensors

Gyanesh Chander; Pat L. Scaramuzza

Increasingly, data from multiple sensors are used to gain a more complete understanding of land surface processes at a variety of scales. The Landsat suite of satellites has collected the longest continuous archive of multispectral data. The ResourceSat-1 Satellite (also called as IRS-P6) was launched into the polar sun-synchronous orbit on Oct 17, 2003. It carries three remote sensing sensors: the High Resolution Linear Imaging Self-Scanner (LISS-IV), Medium Resolution Linear Imaging Self-Scanner (LISS-III), and the Advanced Wide Field Sensor (AWiFS). These three sensors are used together to provide images with different resolution and coverage. To understand the absolute radiometric calibration accuracy of IRS-P6 AWiFS and LISS-III sensors, image pairs from these sensors were compared to the Landsat-5 TM and Landsat-7 ETM+ sensors. The approach involved the calibration of nearly simultaneous surface observations based on image statistics from areas observed simultaneously by the two sensors.


Proceedings of SPIE | 2005

SLC-off Landsat-7 ETM+ reflective band radiometric calibration

Brian L. Markham; Julia A. Barsi; Kurtis J. Thome; John L. Barker; Pat L. Scaramuzza; Dennis L. Helder

Since May 31, 2003, when the scan line corrector (SLC) on the Landsat-7 ETM+ failed, the primary foci of Landsat-7 ETM+ analyses have been on understanding and attempting to fix the problem and later on developing composited products to mitigate the problem. In the meantime, the Image Assessment System personnel and vicarious calibration teams have continued to monitor the radiometric performance of the ETM+ reflective bands. The SLC failure produced no measurable change in the radiometric calibration of the ETM+ bands. No trends in the calibration are definitively present over the mission lifetime, and, if present, are less than 0.5% per year. Detector 12 in Band 7 dropped about 0.5% in response relative to the rest of the detectors in the band in May 2004 and recovered back to within 0.1% of its initial relative gain in October 2004.


international geoscience and remote sensing symposium | 2001

Landsat-7 ETM+ radiometric calibration: two years on-orbit

Brian L. Markham; John L. Barker; Ed Kaita; Julia A. Barsi; Dennis L. Helder; Frank D. Palluconi; John R. Schott; Kurtis J. Thome; Ron Morfitt; Pat L. Scaramuzza

Landsat-7 has been in orbit for 2 years as of April 15, 2001 and operationally providing calibrated data products for 2 years as of June 28, 2001. A radiometric calibration team consisting of scientists and analysts from the Landsat Project Science Office, the Landsat-7 Image Assessment System and four universities evaluates the calibration based on on-board and ground-look (vicarious) calibration methodologies. The results are assembled and compared semi-annually and the calibration parameter files are adjusted as necessary. To date the combined results for the reflective bands have not shown any change from pre-launch values. The pre-launch values continue to be used for data processing, with the uncertainty estimated at less than 5%. In the thermal band, the vicarious calibration results indicated a 0.31 W/m/sup 2/ sr /spl mu/m bias in the calibration. This bias results in the ETM+ derived temperatures being about 3K high. The calibration parameter file was updated October 1, 2000 to remove this bias, however the U.S. Landsat Product Generation System (LPGS) software required modification that was not incorporated until December 20, 2000. All LPGS data products generated since this date have the correct thermal band calibration, regardless of image acquisition date, with uncertainties at approximately the 1% level.


Proceedings of SPIE | 2014

Landsat 8 Operational Land Imager (OLI) detector-to-detector uniformity challenge and performance

Raviv Levy; Julia A. Barsi; Brian L. Markham; Philip W. Dabney; Pat L. Scaramuzza; Esad Micijevic; Frank Pesta

The Operational Land Imager (OLI) aboard the LDCM satellite was rigorously radiometrically characterized prior to launch to assure absolute calibration that is NIST traceable. On orbit additional dedicated calibration collects are being made to continue monitoring and characterizing the OLI radiometric performance. In this paper we report on the OLI on-orbit uniformity performance, which is a natural extension of the absolute radiometric accuracy. Such performance characteristic in remote sensing instruments is assuring that the radiometric accuracy in low contrast images is preserved while avoiding non-uniformity artifacts in the produced radiometric product. The LDCM project science team working with the instrument teams developed a performance metric to monitor the uniformity performance. We will describe the uniformity performance metric and discuss associated error sources in obtaining the radiometric calibration parameters that impact the uniformity correction. We will compare the uniformity performance between solar diffuser observation and earth data.


Proceedings of SPIE | 2014

On-orbit performance of the Landsat 8 Operational Land Imager

Esad Micijevic; Kelly Vanderwerff; Pat L. Scaramuzza; Ron Morfitt; Julia A. Barsi; Raviv Levy

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 resolution Earth images. There are two imaging instruments onboard the satellite: the Operational Land Imager (OLI) and the Thermal InfraRed Sensor (TIRS). This paper summarizes radiometric performance of the OLI including the bias stability, the system noise, saturation and other artifacts observed in its data during the first 1.5 years on orbit. Detector noise levels remain low and Signal-To-Noise Ratio high, largely exceeding the requirements. Impulse noise and saturation are present in imagery, but have negligible effect on Landsat 8 products. Oversaturation happens occasionally, but the affected detectors quickly restore their nominal responsivity. Overall, the OLI performs very well on orbit and provides high quality products to the user community.


IEEE Transactions on Geoscience and Remote Sensing | 2004

Landsat-7 ETM+ on-orbit reflective-band radiometric stability and absolute calibration

Brian L. Markham; Kurtis J. Thome; Julia A. Barsi; Ed Kaita; Dennis L. Helder; John L. Barker; Pat L. Scaramuzza


Remote Sensing of Environment | 2013

Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data☆

Tom Maiersperger; Pat L. Scaramuzza; Larry Leigh; S. Shrestha; Kevin P. Gallo; Calli B. Jenkerson; John L. Dwyer

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Julia A. Barsi

Goddard Space Flight Center

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Brian L. Markham

Goddard Space Flight Center

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Dennis L. Helder

South Dakota State University

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Ed Kaita

Goddard Space Flight Center

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John L. Barker

Goddard Space Flight Center

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Esad Micijevic

United States Geological Survey

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John L. Dwyer

United States Geological Survey

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Raviv Levy

Goddard Space Flight Center

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Ron Morfitt

United States Geological Survey

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