%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.16.20.57
%2 sid.inpe.br/marte2/2017/10.27.16.20.58
%@isbn 978-85-17-00088-1
%F 59517
%T Sar backscatter model inversion for estimation of snow properties along the union glacier ? antarctica
%D 2017
%A Espinoza, Jean Marcel de Almeida,
%A Ortiz, Mauricio Soares,
%@electronicmailaddress jean.espinoza@riogrande.ifrs.edu.br
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 7390-7392
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X This paper presents an inverse model for SAR backscatter X - band designed to snow and ice surfaces. The model inversionenables estimating the morphological characteristics of snow cover from SAR data. X Cosmo-Skymed sensor data was usedin the experiment tested here for the region of Union Glacier - Antarctica. We observed a precision in determining theestimated size of snow grains about 94%. This result depicts the applicability of the analyzed model as an alternative way forextracting information from X-SAR data.
%9 Geomorfologia
%@language en
%3 59517.pdf