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Record #96555:

Bottom characteristics of the Antarctic ice sheet from radar / R.K. Moore, W. Xin, G. Raju.

Title: Bottom characteristics of the Antarctic ice sheet from radar / R.K. Moore, W. Xin, G. Raju.
Author(s): Moore, R. K.
Xin, W.
Raju, G.
Date: [1989]
Publisher: [Ottawa]: IGARSS'89. 12th Canadian Symposium on Remote Sensing
Abstract: Describes simple scattering model used to synthesize expected return pulses for comparison with those returned to coherent Antarctic radar depth sounder (described in later paper in this volume, by C.R. Davis and co-workera, p. 2734-2737) from bottom of ice sheet. Model has two parameters: standard deviation of height and horizontal autocorrelation length of bottom roughness. Least-squares fitting procedure allows determination of appropriate parameters from observed roughness.
Notes:

Offprint: IGARSS'89. 12th Canadian Symposium on Remote Sensing. Quantitative Remote Sensing: an Economic Tool for the Nineties. Vancouver, Canada, July 10-14, 1989. Proceedings. Vol. 4.

Keywords: 551.32 -- Glaciology.
53.087.23 -- Remote sensing.
621.396.96 -- Radar.
551.324 -- Land ice.
551.324.3 -- Land ice, depth measurements.
551.321 -- Glaciological methods and instruments.
551.321.61 -- Ice sounding, geophysical methods.
519.673 -- Modelling.
E5 -- Glaciology: land ice.
(*7) -- Antarctic regions.
Location(s): SCO: SPRI-PAM: (*7) : 551.324.3
SPRI record no.: 96555

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100 1# ‡aMoore, R. K.
245 10 ‡aBottom characteristics of the Antarctic ice sheet from radar /‡cR.K. Moore, W. Xin, G. Raju.
260 ## ‡a[Ottawa] :‡bIGARSS'89. 12th Canadian Symposium on Remote Sensing,‡c[1989]
300 ## ‡ap. 2727-2729 :‡bdiags.
500 ## ‡aOffprint: IGARSS'89. 12th Canadian Symposium on Remote Sensing. Quantitative Remote Sensing: an Economic Tool for the Nineties. Vancouver, Canada, July 10-14, 1989. Proceedings. Vol. 4.
520 3# ‡aDescribes simple scattering model used to synthesize expected return pulses for comparison with those returned to coherent Antarctic radar depth sounder (described in later paper in this volume, by C.R. Davis and co-workera, p. 2734-2737) from bottom of ice sheet. Model has two parameters: standard deviation of height and horizontal autocorrelation length of bottom roughness. Least-squares fitting procedure allows determination of appropriate parameters from observed roughness.
650 07 ‡a551.32 -- Glaciology.‡2udc
650 07 ‡a53.087.23 -- Remote sensing.‡2udc
650 07 ‡a621.396.96 -- Radar.‡2udc
650 07 ‡a551.324 -- Land ice.‡2udc
650 07 ‡a551.324.3 -- Land ice, depth measurements.‡2udc
650 07 ‡a551.321 -- Glaciological methods and instruments.‡2udc
650 07 ‡a551.321.61 -- Ice sounding, geophysical methods.‡2udc
650 07 ‡a519.673 -- Modelling.‡2udc
650 07 ‡aE5 -- Glaciology: land ice.‡2local
651 #7 ‡a(*7) -- Antarctic regions.‡2udc
700 1# ‡aXin, W.
700 1# ‡aRaju, G.
852 7# ‡2camdept‡bSCO‡cSPRI-PAM‡h(*7) : 551.324.3‡9Create 1 item record‡0Migrate
917 ## ‡aUnenhanced record from Muscat, imported 2019
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