Donald J. Cavalieri
University of Kansas
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Donald J. Cavalieri.
international geoscience and remote sensing symposium | 1991
Mark R. Drinkwater; John P. Crawford; Donald J. Cavalieri
Microwave remotely sensed data were acquired simultaneously in March 1988 over Beaufort, Chukchi, and Bering Sea ice using the JPL multifrequency, polarimetric synthetic aperture radar (SAR), and multifrequency dual-polarization GSFC radiometer. The experiment was conducted as a series of coordinated underflights of the DMSP SSM/I satellite radiometer to validate ice products derived from its radiance values. Concurrent flights by an NRL P-3 aircraft enabled overlapping high-resolution, single-frequency images to be acquired over the same surfaces using a Ka-band scanning microwave radiometer. Precise coregistration to an accuracy of 100 m, +/- 25 m enables comparison of temporally and spatially coincident active and passive microwave datasets. Three-channel polarimetric SAR data are compared with dual-polarized radiometer data at several SSM/I frequencies, showing backscatter signatures to be highly correlated with radiometric temperatures. Further comparisons are used to evaluate ice concentration retrievals and to show how multiparameter datasets can be used to resolve ambiguities present in identifying certain sea ice forms with a single microwave instrument.
international geoscience and remote sensing symposium | 2008
Deepthi Puthalapat; Carl Leuschen; Thorsten Markus; Donald J. Cavalieri; William Krabill; John G. Sonntag; Matthew B. Sturm; James Maslanik
Sea ice is generally covered with snow. Information about snow thickness is essential to estimate sea-ice thickness from freeboard measurements and to model ocean-ice-atmosphere interactions. This paper discusses an algorithm to measure snow thickness by processing of coincident radar and the laser altimetry data. Radar return is dominated by the reflected signal from the snow-ice interface whereas laser return by the snow-air interface. Radar data are processed to obtain an accurate estimate of range to the snow-ice interface using aircraft trajectory derived from differential Global Positioning system (GPS) and Inertial Navigation System (INS). Laser data are processed to obtain range to the snow-air interface. The snow cover thickness is estimated from the difference in the radar and laser range estimates. The snow-thickness estimates obtained from radar and laser altimeter are comparing with the in situ snow thickness data collected over the Chukchi and Beufort lines.
Archive | 2010
Donald J. Cavalieri; Thorsten Markus; Allessandro Ivanoff; John A. Miller; Matthew B. Sturm; James A. Maslanik; John Heinrichs; Albin J. Gasiewski; Carl Leuschen; William B. Krabill; John G. Sonntag; Ludovic Brucker
Archive | 2009
Thorsten Markus; Christopher L. Parkinson; Donald J. Cavalieri; Josefino C. Comiso
Archive | 2008
Nathan T. Kurtz; Thorsten Markus; Lynn C. Sparling; Donald J. Cavalieri; Albin J. Gasiewski; William B. Krabill; John G. Sonntag
Archive | 2008
Deepthi Puthalapat; Thorsten Markus; Donald J. Cavalieri; William B. Krabill; Matthew B. Sturm
Archive | 2006
U. Ch. Herzfeld; James A. Maslanik; Stephen Williams; Matthew B. Sturm; Donald J. Cavalieri
Archive | 2006
Thorsten Markus; Donald J. Cavalieri; Albin J. Gasiewski; Prasad Gogineni; John Heinrichs; P. Kanagaratnam; Michel C. A. Klein; William B. Krabill; Carl Leuschen; James A. Maslanik; John G. Sonntag; Julienne Stroeve; Matthew B. Sturm
Archive | 2005
James A. Maslanik; U. Ch. Herzfeld; Matthew B. Sturm; Donald J. Cavalieri
Archive | 2001
Donald J. Cavalieri; Thorsten Markus; Alvaro Ivanoff; Chester J. Koblinsky
Collaboration
Dive into the Donald J. Cavalieri's collaboration.
Cooperative Institute for Research in Environmental Sciences
View shared research outputs