Abstract/Details

Multisensor microwave remote sensing in the cryosphere


2000 2000

Other formats: Order a copy

Abstract (summary)

Because the earth's cryosphere influences global weather patterns and climate, the scientific community has had great interest in monitoring this important region. Microwave remote sensing has proven to be a useful tool in estimating sea and glacial ice surface characteristics with both scatterometers and radiometers exhibiting high sensitivity to important ice properties. This dissertation presents an array of studies focused on extracting key surface features from multisensor microwave data sets. First, several enhanced resolution image reconstruction issues are addressed. Among these are the optimization of the scatterometer image reconstruction (SIR) algorithm for NASA scatterometer (NSCAT) data, an analysis of Ku-band azimuthal modulation in Antarctica, and inter-sensor European Remote Sensing Satellite (ERS) calibration. Next, various methods for the removal of atmospheric distortions in image reconstruction of passive radiometer observations are considered. An automated algorithm is proposed which determines the spatial extent of sea ice in the Arctic and Antarctic regions from NSCAT data. A multisensor iterative sea ice statistical classification method which adapts to the temporally varying signatures of ice types is developed. The sea ice extent and classification algorithms are adopted for current SeaWinds scatterometer data sets. Finally, the automated inversion of large-scale forward electromagnetic scattering models is considered and used to study the temporal evolution of the scattering properties of polar sea ice.

Indexing (details)


Subject
Electrical engineering;
Remote sensing;
Atmosphere
Classification
0544: Electrical engineering
0799: Remote sensing
0608: Atmosphere
Identifier / keyword
Applied sciences; Pure sciences; Cryosphere; Image reconstruction; Microwave remote sensing; Sea ice
Title
Multisensor microwave remote sensing in the cryosphere
Author
Remund, Quinn Pendleton
Number of pages
265
Publication year
2000
Degree date
2000
School code
0022
Source
DAI-B 61/04, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9780599754898, 0599754893
Advisor
Long, David G.
University/institution
Brigham Young University
University location
United States -- Utah
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
9970469
ProQuest document ID
304580620
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/304580620
Access the complete full text

You can get the full text of this document if it is part of your institution's ProQuest subscription.

Try one of the following:

  • Connect to ProQuest through your library network and search for the document from there.
  • Request the document from your library.
  • Go to the ProQuest login page and enter a ProQuest or My Research username / password.