MO4.R19.3
Characterization and Analysis of Radio Frequency Interference in NISAR L-Band Radar Data
James Gaudreau, Mohammad Al-Khaldi, Dustin Horton, Miranda Holloway, Joel Johnson, The Ohio State University; Jeonghwan Park, Rajat Bindlish, National Aeronautics and Space Administration
Session:
MO4.R19: Radio Frequency Interference and Spectrum Management Issues in Microwave Remote Sensing Oral
Track:
Community Contributed Themes
Location:
Piscataway
Presentation Time:
Monday, 10 August, 16:45 - 17:00
Session Chair:
Beau Backus, Johns Hopkins Applied Physics Lab
Presentation
Discussion
Resources
No resources available.
Session MO4.R19
MO4.R19.1: ESSEO – BETWEEN EARTH SCIENCE AND FREQUENCY MANAGEMENT
Yan Soldo, European Space Agency; Stephen English, ECMWF; Giulia Panegrossi, Consiglio Nazionale delle Ricerche; Jesse Andries, World Meteorological Organization; Alessandro Battaglia, Politecnico di Torino; Philippe Chambon, Meteo-France; Karsten Fennig, Deutscher Wetterdienst; Chawn Harlow, Met Office; Kenneth Holmlund, independent; Yann Kerr, CNES/CESBIO; Andrea Monti Guarnieri, Politecnico di Milano; Catherine Prigent, Centre National de la Recherche Scientifique; Melody Sandells, Northumbria University; Markus Dreis, EUMETSAT; Bruno Espinosa, Juliette Challot, Josep Rosello, European Space Agency
MO4.R19.2: GLOBAL EARTH OBSERVATION IMPLICATIONS OF RECENT U.S. SPECTRUM REGULATORY ACTIONS ON SATELLITE BROADBAND
Renee Leduc, Narayan Strategy; Beau Backus, Johns Hopkins Applied Physics Lab; Paolo de Matthaeis, NASA Goddard Space Flight Center
MO4.R19.3: Characterization and Analysis of Radio Frequency Interference in NISAR L-Band Radar Data
James Gaudreau, Mohammad Al-Khaldi, Dustin Horton, Miranda Holloway, Joel Johnson, The Ohio State University; Jeonghwan Park, Rajat Bindlish, National Aeronautics and Space Administration
MO4.R19.4: INITIAL ASSESSMENT OF RADIO FREQUENCY INTERFERENCE IMPACTS AND MITIGATION EFFECTIVENESS USING NISAR DATA
Bo Huang, Heresh Fattahi, Brian Hawkins, HIrad Ghaemi, Tyler Hudson, Jet Propulsion Lab
MO4.R19.5: RFI DETECTION AND CHARACTERIZATION USING POLARIZATION STATES FOR GLOBAL ALOS/PALSAR DATA
Yu Hashimoto, The University of Tokyo; Ryu Sugimoto, National Institute of Advanced Industrial Science and Technology; Akira Hirose, Ryo Natsuaki, The University of Tokyo
Resources
No resources available.