About Us: GeoThinkTank LLC is a small technology company located in the heart of Washington, DC. We specialize in imagery science and geospatial technical consulting services with extensive experience in spectral and radiometric sciences, system characterization, calibration, and validation, system performance monitoring, target phenomonology characterization, algorithm development, data analysis and mission optimization support. With a legacy of innovation in Science & Technology and broad applied experience, GeoThinkTank offers a creative edge and bold imagination to advance the capabilities and opportunities of its customers. Contact us if you are interested in finding out more about the exciting work we do.

Peer-Reviewed Publications:

• Padula, F. & Cao, C., Detector-level spectral characterization of the Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite long-wave infrared bands M15 and M16, Appl. Opt. 54, 5109-5116 (2015)
• Padula, F.P., Schott, J.R., Historic Calibration of the Thermal Infrared Band of Landsat-5 TM, Photogrammetric Engineering and Remote Sensing, 76, 11, pp. 1225-1238 (2010)
• Padula, F., Schott, J., Barsi, J., Raqueno N. and Simon, H. Calibration of Landsat 5 Thermal Infrared Channel: updated calibration history and assessment of the errors associated with the methodology, Can. J. Remote Sensing, Vol. 36, No. 5, pp. 617-630, 2010

Technical Presentations/Publications:

• 21st Annual New York Maple Producer's Winter Conference 2016:
  Padula, F. January 2016. Assessing the Value of Remote Sensing Capabilities for Maple Producers: From Satellites to Small Unmanned Aircraft Systems (UAS) [presentation]
• Conference on Characterization and Radiometric Calibration for Remote Sensing (CALCON) 2015:
  Padula, F., Goodman, S., Cao, C., & Wu, X. August 2015. GOES-R Field Campaign: Addressing the Validation Challenges of Geostationary Satellite Observations
• IEEE International Geoscience & Remote Sensing Symposium (IGARSS):
  Padula, F. & Cao, C. July 2015. GOES-R ABI Detector-Level Spectral Response Function Performance Characterization
• 2015 NOAA Satellite Conference:
  Padula, F., Cao, C., Laszlo, I., Yu Y., & Goodman S. April 2015. Evaluation of Near Surface UAV Capabilities for the GOES-R Field Campaign
• SPIE Optics + Photonics:
  Padula, F. and Cao, C. September 2014. Preliminary study of the Suomi NPP VIIRS detector-level spectral response function effects for the long-wave infrared bands M15 and M16. Proc. SPIE 9219, Infrared Remote Sensing and Instrumentation XXII
• SPIE Defense, Security and Sensing:
  Padula, F., Gross, H., Pogorzala, D. April 2011. A scalable hierarchical approach for leveraging low resolution imagery for image classification.
• 17th Conference on Satellite Meteorology and Oceanography:
  Padula, F., Cao, C. September 2010. GOES-R ABI spectral sensitivity analysis using hyperspectral observations.
• CALCON 2010:
  Padula, F., Cao, C., August 2010. Hyperspectral Lunar Surface Characterization using NASA EO/1 Hyperion Data in Support of GOES-R ABI Calibration/Verification.
• IEEE International Geoscience & Remote Sensing Symposium (IGARSS):
  Padula, F., MacDonough, J., Bondy, D., Cook, M. July 2010. Automated Supervised Landuse Classification and Change Detection: an Image Fusion Based Approach.
• 2010 GOES-R Algorithm Working Group and GOES-R Risk Reduction Review Conference:
  Padula, F., Cao, C. June 2010. GOES-R Calibration Working Group Update.
• Optical Society of America (OSA) Remote Sensing of the Environment:
  Padula, F., MacDonough, J., Bondy, D., Cook, M. June 2010. An Automated Hybrid Approach to Large Area Land Use Classification and Change Detection.
• 2009 31st Review of Atmospheric Transmission Models Meeting:
  Padula, F. and Schott, J. 2009. Atmospheric Error Propagation: Validating the Landsat 5 Thermal Calibration Process.
• American Geophysical Union Fall 2008 Meeting:
  Padula, F. and Schott, J. 2008. Thermal Calibration of Landsat 5 TM from 1985 to the Present.
• 2008 IEEE International Geoscience & Remote Sensing Symposium:
  Padula, F. and Schott, J. 2008. New Methodology for an Improved Thermal Calibration of Landsat 5 Through Fusion of Environmental Data Sources.
• 2008 American Meteorological Society Northeast Storm Conference: Padula, F. and Schott, J. 2008. Landsat 5 Thermal Calibration Approach.

Awards:

• American Society for Photogrammetry and Remote Sensing (ASPRS), First Place 2011 John I. Davidson President's Award for Practical Papers
• ASPRS, First Place 2011 ERDAS (Earth Resources Data Analysis System) Award for Best Scientific Paper in Remote Sensing

Career Opportunities:

• Provide imaging system and remote sensing subject matter expertise in support of post-launch validation efforts
• Work as part of a dynamic team to ensure data quality of all remote sensing systems
• Demonstrated ability to work independently as well as part of a team
• Willingness to learn, solve problems and perform in a dynamic work environment

Desired Qualifications:

• Graduate Degree in a physical science or engineering discipline (Phd preferred) with relevant experience in the calibration and validation of remote sensing systems
• Minimum of 10 years experience
• Expert and functional understanding of EO/IR image chain analysis
• Demonstrated proficiency in a scientific program language (Ex. IDL or Matlab)