Publications
Peer-Reviewed Publications:
2021
Pearlman, A., Montanaro, M., Efremova, B., McCorkel, J., Wenny, B., Lunsford, A. Reuter, D. Prelaunch Radiometric Calibration and Uncertainty Analysis of Landsat Thermal Infrared Sensor 2, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2715-2726, April 2021, doi: 10.1109/TGRS.2020.3008655.
2015
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)
2010
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)
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:
2016
SPIE Optics + Photonics 2016:
Pearlman, A. J., Padula, F., Shao, X., Cao, C., Goodman, S. J., Initial Design and Performance of the Near Surface Unmanned Aircraft System Sensor Suite in Support of the GOES-R Field Campaign. Proc. SPIE 9972, Earth Observing Systems XXI, 99720U, (19 September 2016)
2018
American Meteorological Annual Meeting 2018:
Pearlman, A., Padula, F. P., Liu, T. C., Shao, X., Cao, C., Goodman, S. J., New Frontiers in GOES-R ABI Validation: A Feasibility Study for Using Near-Surface Unmanned Aircraft Systems. Austin Texas, (8 January 2018)
2019
IGARSS IEEE International Geoscience and Remote Sensing Symposium:
Pearlman, A. J., Efremova, B., Lunsford, A., McCorkel, J., Simon, A., and Reuter, D. Landsat 9 Thermal Infrared Sensor 2 Spectral Response Test: Updates and Perspective, pp. 8534-8537, doi: 10.1109/ IGARSS.2019.8899118.
2018
2018 SPIE:
Pearlman, A. McCorkel, J., Montanaro, M., Efremova, B. Wenny, B., Lunsford, A., Simon, A., Hair, J., Reuter, D. Landsat 9 Thermal Infrared Sensor 2 pre-launch characterization: initial imaging and spectral performance results, Proc. SPIE 10764, Earth Observing Systems XXIII, 1076406 (7 September 2018).
2018
Conference on Characterization and Radiometric Calibration for Remote Sensing (CALCON) 2018:
Pearlman, A., McCorkel, J., Montanaro, M., Efremova, B., Wenny, B., Lunsford, A., Simon, A., Hair, J., Reuter, D., Initial pre-launch imaging and spectral characterization of Landsat 9 Thermal Infrared Sensor-2, Calcon: Meeting on characterization and radiometric calibration for remote sensing, Logan Utah, (18 June 2018)
2010
2009 31st Review of Atmospheric Transmission Models Meeting:
Padula, F. and Schott, J. 2009. Atmospheric Error Propagation: Validating the Landsat 5 Thermal Calibration Process.
2008
American Geophysical Union Fall 2008 Meeting:
Padula, F. and Schott, J. 2008. Thermal Calibration of Landsat 5 TM from 1985 to the Present.
2016
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]
2015
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
2015
IEEE International Geoscience & Remote Sensing Symposium (IGARSS):
Padula, F. & Cao, C. July 2015. GOES-R ABI Detector-Level Spectral Response Function Performance Characterization
2015
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
2015
SPIE Optics + Photonics 2015:
Pearlman, A. J., Padula, F. P., Wu, X., Cao, C., The Geostationary Operational Environmental Satellite R-series Advanced Baseline Imager: Detector Spectral Response Effects on Thermal Emissive Band Calibration, Proc. SPIE 9639, Sensors, Systems, and Next-Generation Satellites XIX, 963917 Toulouse, France, (12 October, 2015)
2014
SPIE Optics + Photonics 2014:
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
2011
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.
2010
17th Conference on Satellite Meteorology and Oceanography:
Padula, F., Cao, C. September 2010. GOES-R ABI spectral sensitivity analysis using hyperspectral observations.
2010
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.
2010
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
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.
2010
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.
2008
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
2008 American Meteorological Society Northeast Storm Calibration Conference:
Padula, F. and Schott, J. 2008. Landsat 5 Thermal Calibration Approach.
2018
2018 SPIE Remote Sensing:
Pearlman, A., McCorkel, J., Montanaro, M., Efremova, B., Wenny, B, Lunsford, A. Simon, A., Hair, J., Reuter, D.Landsat 9 Thermal Infrared Sensor 2 performance results based on subsystem-level testing. Berlin