By Topic

Development of an algorithm for estimating snow hydrological parameters in wet snow regions using combined C- and L-band satellite-based SAR data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Tadono, T. ; Earth Obs. Res. Center, Nat. Space Dev. Agency of Japan, Tokyo, Japan ; Fukami, K. ; Shi, J.

Develops an algorithm for estimating snow parameter distributions using synthetic aperture radar (SAR) images. The study area is a part of the Hokuriku District of Japan that is well known for having wet snow from the beginning of the winter season. We develop an algorithm to estimate snow density and roughness distributions using RADARSAT images acquired in February. Furthermore, we show the possibility of inferring snow depths from combined parameters estimated with an L-band SAR image.

Published in:

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International  (Volume:5 )

Date of Conference: