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Airborne Measurements of Snow Thickness: Using ultrawide-band frequency-modulated-continuous-wave radars
- Source :
- IEEE Geoscience and Remote Sensing Magazine. 5:57-76
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- Frequency-modulated-continuous-wave (FM-CW) radar has been used extensively for the airborne measurement of snow thickness over sea ice and the mapping of annual accumulation over land ice. In contrast to conventional in situ measurements, FM-CW radar, when operated onboard an airborne platform, can be a useful tool for widearea surveys of snow deposition. Since the early 2000s, the Center for Remote Sensing of Ice Sheets (CReSIS) at the University of Kansas (KU) has designed, developed, and deployed airborne ultrawide-band (UWB) FM-CW radars, called Snow Radars, on National Science Foundation (NSF)-, NASA-, Naval Research Laboratory (NRL)-, and Alfred Wegener Institute (AWI)-provided aircraft in both Arctic and Antarctic regions and generated a large amount of snow data products. In addition to the significant standalone value of the snow-thickness measurements, these data are being used in estimating Arctic sea ice thickness, which is a key variable in the study of atmosphere-ocean-ice interactions. This article provides a review of snow remote sensing techniques with airborne FM-CW radars to document the operating principle, design, and evolution of CReSIS' UWB FM-CW radars and discuss and promote understanding of the advantages and limitations associated with these systems.
- Subjects :
- geography
geography.geographical_feature_category
010504 meteorology & atmospheric sciences
General Computer Science
Meteorology
0211 other engineering and technologies
02 engineering and technology
Snow
01 natural sciences
Arctic ice pack
law.invention
Arctic
law
Sea ice thickness
Sea ice
General Earth and Planetary Sciences
Environmental science
Electrical and Electronic Engineering
Radar
Ice sheet
Instrumentation
Sea ice concentration
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 21686831 and 24732397
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- IEEE Geoscience and Remote Sensing Magazine
- Accession number :
- edsair.doi...........953058b3217e792df0e8e2f9df7fdb8e
- Full Text :
- https://doi.org/10.1109/mgrs.2017.2663325