2008
DOI: 10.1117/1.2902319
|View full text |Cite
|
Sign up to set email alerts
|

Investigation of the spatial variations in synthetic aperture radar backscatter in western Dronning Maud Land, Antarctica

Abstract: C-band SAR observations show that backscatter varies significantly across small scales (tens of kilometers) in western Dronning Maud Land. Generally, backscatter was found to diminish with altitude reflecting lower accumulation and reduced ice inclusions in the firn of the percolation zone at higher elevations. Reference to (incomplete) mass balance data suggests an anticorrelation between backscatter and net balance, although more data are needed to confirm the trend. Even within the percolation zone, areas o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2012
2012
2021
2021

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 23 publications
(41 reference statements)
0
1
0
Order By: Relevance
“…Many models developed over the last 15 years have been validated in various environments, including mountainous terrain and glaciers [2][3][4], sea ice and ice sheets [5][6][7][8], agricultural fields [9,10], boreal forest [11][12][13][14][15][16], and forest-tundra ecotones [17]. The ability of SAR to discriminate snow-free from wet or dry snow-covered surfaces has been investigated substantially more than its potential for estimating the snow mass of dry snow cover; this is particularly true near the Arctic treeline.…”
Section: Introductionmentioning
confidence: 99%
“…Many models developed over the last 15 years have been validated in various environments, including mountainous terrain and glaciers [2][3][4], sea ice and ice sheets [5][6][7][8], agricultural fields [9,10], boreal forest [11][12][13][14][15][16], and forest-tundra ecotones [17]. The ability of SAR to discriminate snow-free from wet or dry snow-covered surfaces has been investigated substantially more than its potential for estimating the snow mass of dry snow cover; this is particularly true near the Arctic treeline.…”
Section: Introductionmentioning
confidence: 99%