By Topic

Monitoring of snow cover on Italian Alps using AMSR-E and Artificial Neural Networks

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

4 Author(s)
Santi, E. ; Inst. of Appl. Phys., Florence, Italy ; Fontanelli, G. ; Pettinato, S. ; Crepaz, A.

This paper describes an algorithm for retrieving the snow depth from the data acquired by the microwave radiometers operating from space. The algorithm is based on Artificial Neural Network techniques and has been developed and tested using a large dataset of AMSR-E acquisitions and corresponding direct measurements of snow depth and air temperature collected over Siberia within the framework of the GCOM/AMSR2 mission. The algorithm has been subsequently applied to the AMSR-E acquisitions collected during the winter seasons between 2002 and 2011 on Alpine regions, setting up a procedure for evaluating and correcting the effects of the orography and the forest coverage.

Published in:

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Date of Conference:

22-27 July 2012