Dr. Philip E. Ardanuy Profile

Dr. Philip E. Ardanuy

Chief Scientist & Lead Investigator, MOS at Innovim LLC

SPIE Involvement:

Editor | Author

Proceedings Article | 19 September 2016 Paper

System engineering of the visible infrared imaging radiometer suite (VIIRS): improvements in imaging radiometry enabled by innovation driven by requirements

Jeffery Puschell, Philip Ardanuy, Carl Schueler

Proceedings Volume 9977, 997703 (2016) https://doi.org/10.1117/12.2242302

KEYWORDS: Sensors, Infrared imaging, Spatial resolution, MODIS, Calibration, Imaging systems, Infrared radiation, Infrared telescopes, Radiometry, Image resolution

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Proceedings Article | 25 August 2008 Paper

Zombie algorithms: a timesaving remote sensing systems engineering tool

Philip Ardanuy, Dylan Powell, Stephen Marley

Proceedings Volume 7087, 708709 (2008) https://doi.org/10.1117/12.800228

KEYWORDS: Remote sensing, Satellites, Algorithm development, Sensing systems, Sensors, Space operations, Computer architecture, Data archive systems, Data modeling, Decision support systems

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Proceedings Article | 27 October 2007 Paper

Back to the future: transition from operations to research

Philip Ardanuy, David Santek, Andre Tarro, Jerry Wegiel

Proceedings Volume 6684, 668406 (2007) https://doi.org/10.1117/12.736235

KEYWORDS: Computing systems, Software development, Data modeling, Analytical research, Systems modeling, Visualization, Data processing, Absorption, Chemical elements, Human-machine interfaces

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Proceedings Article | 7 September 2006 Paper

A net-centric system of services model for the Integrated Earth Observation System (IEOS) and the Integrated Ocean Observing System (IOOS)

Philip Ardanuy, Ed Bensman, Bill Bergen, Bob Chen, Frank Griffith, Cary Sutton, Carroll Hood, Adrian Ritchie, Andre Tarro

Proceedings Volume 6296, 62960U (2006) https://doi.org/10.1117/12.682888

KEYWORDS: Systems modeling, System integration, Data modeling, Climatology, Telecommunications, Decision support systems, Human-machine interfaces, Information fusion, Process modeling, Satellites

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Proceedings Article | 1 September 2006 Paper

Simultaneous overpass off Nadir (SOON): a method for unified calibration/validation across IEOS and GEOSS system of systems

Philip Ardanuy, Bill Bergen, Allen Huang, Gene Kratz, Jeff Puschell, Carl Schueler, Joe Walker

Proceedings Volume 6301, 630101 (2006) https://doi.org/10.1117/12.682890

KEYWORDS: Satellites, Calibration, Sensors, MODIS, Environmental sensing, Meteorological satellites, Reflectivity, Space operations, Clouds, Earth observing sensors

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Proceedings Article | 29 August 2005 Paper

Net-centric environmental and weather monitoring: a disruptive concept of operations

Philip Ardanuy, Stephen Marley, Thomas Flynn, David Bossert, Edward Bensman

Proceedings Volume 5890, 589002 (2005) https://doi.org/10.1117/12.619660

KEYWORDS: Sensors, Environmental monitoring, Data processing, Telecommunications, Data acquisition, Environmental sensing, Satellites, System integration, Computer architecture, Remote sensing

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Proceedings Article | 10 November 2003 Paper

Operational algorithm development and refinement approaches

Philip Ardanuy

Proceedings Volume 5151, (2003) https://doi.org/10.1117/12.509369

KEYWORDS: Algorithm development, Ozone, MODIS, Satellites, Sensors, Algorithms, Ultraviolet radiation, Calibration, Imaging systems, Environmental sensing

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Next-generation polar and geostationary systems, such as the National Polar-orbiting Operational Environmental Satellite System (NPOESS) and the Geostationary Operational Environmental Satellite (GOES)-R, will deploy new generations of electro-optical reflective and emissive capabilities. These will include low-radiometric-noise, improved spatial resolution multi-spectral and hyperspectral imagers and sounders. To achieve specified performances (e.g., measurement accuracy, precision, uncertainty, and stability), and best utilize the advanced space-borne sensing capabilities, a new generation of retrieval algorithms will be implemented. In most cases, these advanced algorithms benefit from ongoing testing and validation using heritage research mission algorithms and data [e.g., the Earth Observing System (EOS)] Moderate-resolution Imaging Spectroradiometer (MODIS) and Shuttle Ozone Limb Scattering Experiment (SOLSE)/Limb Ozone Retreival Experiment (LORE). In these instances, an algorithm's theoretical basis is not static, but rather improves with time. Once frozen, an operational algorithm can “lose ground” relative to research analogs. Cost/benefit analyses provide a basis for change management. The challenge is in reconciling and balancing the stability, and “comfort,” that today’s generation of operational platforms provide (well-characterized, known, sensors and algorithms) with the greatly improved quality, opportunities, and risks, that the next generation of operational sensors and algorithms offer. By using the best practices and lessons learned from heritage/groundbreaking activities, it is possible to implement an agile process that enables change, while managing change. This approach combines a “known-risk” frozen baseline with preset completion schedules with insertion opportunities for algorithm advances as ongoing validation activities identify and repair areas of weak performance. This paper describes an objective, adaptive implementation roadmap that takes into account the specific maturities of each system’s (sensor and algorithm) technology to provide for a program that contains continuous improvement while retaining its manageability.

Proceedings Article | 9 April 2003 Paper

NPOESS VIIRS: next-generation polar-orbiting atmospheric imager

Carl Schueler, John Clement, Shawn Miller, Peter Kealy, Philip Ardanuy, Stephen Cota, Frank De Luccia, John Haas, Stephen Mango, Kenneth Speidel, Hilmer Swenson

Proceedings Volume 4891, (2003) https://doi.org/10.1117/12.467564

KEYWORDS: Sensors, MODIS, Long wavelength infrared, Staring arrays, Clouds, Computer aided design, Calibration, Imaging systems, Space telescopes, Telescopes

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A new era in atmospheric remote sensing will begin with the launch of the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (NPP) spacecraft in 2006, and the multiple operational NPOESS launches in sun-synchronous orbital planes (nominally 13:30, 17:30, or 21:30 local equatorial crossing times) starting in 2009. Cloud and atmosphere polar-orbiting environmental satellite data will be profoundly improved in radiometric quality, spectral coverage, and spatial resolution relative to current operational civilian and military polar-orbiting systems. The NPOESS Visible Infrared Imaging Radiometer Suite (VIIRS) will provide Environmental Data Records (EDRs) for day and night atmosphere and cloud operational requirements, as well as sea surface temperature (SST) and many important land EDRs by ground processing of raw data records (RDRs) from the VIIRS sensor. VIIRS will replace three currently operating sensors: the Defense Meteorological Satellite Program (DMSP) Operational Line-scanning System (OLS), the NOAA Polar-orbiting Operational Environmental Satellite (POES) Advanced Very High Resolution Radiometer (AVHRR), and the NASA Earth Observing System (EOS Terra and Aqua) MODerate-resolution Imaging Spectroradiometer (MODIS). This paper describes the VIIRS all-reflective 22-band single-sensor design, following the Critical Design Review (CDR) in Spring 2002. VIIRS provides low noise (driven by ocean color for the reflective visible and near-IR spectral bands and by SST for the emissive mid and long-wave IR spectral bands), excellent calibration and stability (driven by atmospheric aerosol and cloud EDRs, as well as SST), broad spectral coverage, and fine spatial resolution driven by the cloud imagery EDR. In addition to improved radiometric, spectral, and spatial performance, VIIRS features DMSP OLS-like near-constant resolution, global twice-daily coverage in each orbit plane, and direct heritage to proven design innovations from the successful Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Earth Observing System (Terra and Aqua) MODIS.

Proceedings Article | 24 September 2002 Paper

Use of CAIV techniques to build advanced VIIRS approaches for NPOESS key EDRs

Philip Ardanuy, Carl Schueler, Shawn Miller, Ken Jensen, William Emery

Proceedings Volume 4814, (2002) https://doi.org/10.1117/12.453740

KEYWORDS: MODIS, Sensors, Soil science, Spatial resolution, Long wavelength infrared, Imaging systems, Radiometry, Mid-IR, Infrared radiation, Microwave radiation

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The National Polar-orbiting Operational Environmental Satellite System (NPOESS) Visible and Infrared Imager/Radiometer Suite (VIIRS) has responsibility for 23 Environmental Data Recrods (EDRs), three of them key NPOESS EDRs of highest value to opertional users: Imagery, Sea Surface Temrpature (SST), and Soil Moisture (primary EDR from the NPOESS conical microwave imager/sounder [CMIS]). The VIIRS design was guided by a set of government requirements priorities, which were topped by key EDR performance. Taking advantage of the MODerate-resolution Imaging Spectroradiometer (MODIS) and Sea-viewing Wide Field Sensor (SeaWiFs) heritage, Raytheon's challenge was to optimize VIIRS system performance using Cost As Independent Variable (CAIV) analyses. The SST key EDR solution combines the traditional long-wave infrared (LWIR) split window with a second split window in the mid-wave infrared (MWIR) 3-4 μm region to offer a globally robust "dual split-window" SST algorithm operable daytime and nighttime with a precision of 0.25 K, and an overall uncertainty of 0.35 K (intermediate objective) across the entire SST measurement range. This capability was recently validated by the heritage MODIS on NASA's Terra satellite. The imagery key EDR solution permits superb multi-spectral detection and discrimination of cloud presence and type MODIS. The soil moisture solution is a cross-sensor fusion approach that combines the finer spatial resolution of VIIRS with traditional coarse resolution microwave-derived soil moisture retrievals to achieve objectives under open and partially vegetated scenes. This paper briefly describes the VIIRS sensor design, the key EDR performance, and the CAIV design process with three specific hardware and EDR tradeoff exmaples. Finally, the paper concludes with a description of the key risk-reduction design processes that led to a relativley low-risk (for advanced space-borne hardware programs) developmental design, which is now approaching hardware realization.

Proceedings Article | 18 January 2002 Paper

NPOESS VIIRS design process

Philip Ardanuy, Carl Schueler, Shawn Miller, Peter Kealy, Stephen Cota, Mike Haas, Carol Welsch

Proceedings Volume 4483, (2002) https://doi.org/10.1117/12.453461

KEYWORDS: Sensors, Computer aided design, Clouds, Remote sensing, MODIS, Imaging systems, Data modeling, Computer simulations, Environmental sensing, RGB color model

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Proceedings Article | 18 January 2002 Paper

NPOESS VIIRS sensor design overview

Carl Schueler, John Clement, Philip Ardanuy, Carol Welsch, Frank DeLuccia, Hilmer Swenson

Proceedings Volume 4483, (2002) https://doi.org/10.1117/12.453451

KEYWORDS: Sensors, MODIS, Calibration, Long wavelength infrared, Imaging systems, Staring arrays, Space telescopes, Telescopes, Signal to noise ratio, Clouds

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A new era in remote sensing will begin with the launch of the National Polar-orbiting Operational Environment Satellite Systems (NPOESS) Preparatory Project (NPP) spacecraft in 2005, and the multiple operational NPOESS launches in sun-synchronous orbital planes (nominally 13:30, 17:30, or 21:30 local equatorial crossing times) starting in 2008. Users of polar-orbiting environmental satellite data will see a profound improvement in the radiometric quality, spectral coverage, and spatial resolution of routinely available visible and infrared data relative to current operational civilian and military polar-orbiting systems. The improved data will be provided by the NPOESS Visible Infrared Imaging Radiometer Suite (VIIRS). VIIRS will provide Environmental Data Records (EDRs) to meet civilian and national defense operational requirements, including day and night cloud imagery, sea surface temperatures (SST), and ocean color. EDRs will be produced by ground processing of raw data records (RDRS) from the VIIRS sensor. VIIRS will replace three currently operating sensors: the Defense Meteorological Satellite Program (DMSP) Operational Line- scanning System (OLS), the NOAA Polar-orbiting Operational Environmental Satellite (POES) Advanced Very High Resolution Radiometer (AVHRR), and the NASA Earth Observing System (EOS Terra and Aqua) MODerate-resolution Imaging Spectroradiometer (MODIS). This paper describes the VIIRS all-reflective 22-band single-sensor design. VIIRS provides low noise (driven by ocean color for the reflective visible and near-IR spectral bands and by SST for the emissive mid and long-wave IR spectral), excellent calibration and stability (driven by aerosol, cloud, and SST), broad spectral coverage, and fine spatial resolution driven by the imagery EDR. In addition to improved radiometric, spectral, and spatial performance, VIIRS features DMSP OLS-like near- constant resolution, global twice-daily coverage in each orbit plane, and direct heritage to proven design innovations from the successful Sea-viewing Wide Field-of- view Sensor (SeaWiFS) and Earth Observing System (Terra) MODIS.

Proceedings Article | 1 September 1990 Paper

Accuracy of ERB measurements from the Clouds and the Earth's Radiant Energy System Instrument

Larry Stowe, Peter Abel, Herbert Jacobowitz, Philip Ardanuy, R. Hucek, R. Joyce

Proceedings Volume 1299, (1990) https://doi.org/10.1117/12.21370

KEYWORDS: Error analysis, Satellites, Clouds, Scanners, Shortwaves, Earth observing sensors, Computer simulations, Meteorology, Diamond, Radiometry

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Showing 5 of 12 publications

SPIE Conference Volume | 14 November 2016

Remote Sensing System Engineering VI

SPIE Conference Volume | 3 October 2014

Remote Sensing System Engineering V

SPIE Conference Volume | 16 October 2012

Remote Sensing System Engineering IV

SPIE Conference Volume | 12 August 2010

Atmospheric and Environmental Remote Sensing Data Processing and Utilization VI: Readiness for GEOSS IV

SPIE Conference Volume | 12 August 2010

Remote Sensing System Engineering III

Showing 5 of 10 publications

Conference Committee Involvement (41)

Earth Observing Systems XXVI

3 August 2021 | San Diego, California, United States

Earth Observing Systems XXV

24 August 2020 | Online Only, California, United States

Earth Observing Systems XXIV

11 August 2019 | San Diego, California, United States

Earth Observing Systems XXIII

21 August 2018 | San Diego, California, United States

Earth Observing Systems XXII

6 August 2017 | San Diego, California, United States

Remote Sensing System Engineering VI

1 September 2016 | San Diego, California, United States

Earth Observing Systems XXI

30 August 2016 | San Diego, California, United States

Earth Observing Systems XX

10 August 2015 | San Diego, California, United States

High-Performance Computing in Remote Sensing

22 September 2014 | Amsterdam, Netherlands

Earth Observing Systems XIX

18 August 2014 | San Diego, California, United States

Remote Sensing System Engineering V

18 August 2014 | San Diego, California, United States

Satellite Data Compression, Communications, and Processing X

8 May 2014 | Baltimore, MD, United States

High-Performance Computing in Remote Sensing III

25 September 2013 | Dresden, Germany

Earth Observing Systems XVIII

27 August 2013 | San Diego, California, United States

Satellite Data Compression, Communications, and Processing IX

26 August 2013 | San Diego, California, United States

High-Performance Computing in Remote Sensing

26 September 2012 | Edinburgh, United Kingdom

Earth Observing Systems XVII

13 August 2012 | San Diego, California, United States

Satellite Data Compression, Communications, and Processing VIII

12 August 2012 | San Diego, California, United States

Remote Sensing System Engineering IV

12 August 2012 | San Diego, California, United States

High-Performance Computing in Remote Sensing

19 September 2011 | Prague, Czech Republic

Earth Observing Systems XVI

23 August 2011 | San Diego, California, United States

Satellite Data Compression, Communications, and Processing VII

23 August 2011 | San Diego, California, United States

Satellite Data Compression, Communications, and Processing VI

3 August 2010 | San Diego, California, United States

Remote Sensing System Engineering III

2 August 2010 | San Diego, California, United States

Earth Observing Systems XV

2 August 2010 | San Diego, California, United States

Atmospheric and Environmental Remote Sensing Data Processing and Utilization VI: Readiness for GEOSS IV

1 August 2010 | San Diego, California, United States

Atmospheric and Environmental Remote Sensing Data Processing and Utilization V: Readiness for GEOSS III

5 August 2009 | San Diego, California, United States

Remote Sensing System Engineering II

4 August 2009 | San Diego, California, United States

Earth Observing Systems XIV

3 August 2009 | San Diego, California, United States

Atmospheric and Environmental Remote Sensing Data Processing and Utilization IV: Readiness for GEOSS II

12 August 2008 | San Diego, California, United States

Remote Sensing System Engineering

11 August 2008 | San Diego, California, United States

Earth Observing Systems XIII

11 August 2008 | San Diego, California, United States

Atmospheric and Environmental Remote Sensing Data Processing and Utilization III: Readiness for GEOSS

27 August 2007 | San Diego, California, United States

Earth Observing Systems XII

26 August 2007 | San Diego, California, United States

Atmospheric and Environmental Remote Sensing Data Processing and Utilization II: Perspective on Calibration/Validation Initiatives and Strategies

16 August 2006 | San Diego, California, United States

Earth Observing Systems XI

14 August 2006 | San Diego, California, United States

Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring

1 August 2005 | San Diego, California, United States

Earth Observing Systems X

31 July 2005 | San Diego, California, United States

Earth Observing Systems IX

4 August 2004 | Denver, Colorado, United States

Atmospheric and Environmental Remote Sensing Data Processing and Utilization: an End-to-End System Perspective

4 August 2004 | Denver, Colorado, United States

Earth Observing Systems VIII

3 August 2003 | San Diego, California, United States

Showing 5 of 41 Conference Committees

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