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Estimation of snow pack characteristics by means of polarimetric SAR data

Author
Reppucci, A.; Banque, X.; Lopez, C.; Zhan, Y.; Alonso, A.
Type of activity
Presentation of work at congresses
Name of edition
Remote Sensing of Clouds and the Atmosphere XVII; and Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing VIII
Date of publication
2012
Presentation's date
2012-10
Book of congress proceedings
Proceedings of the XIV SPIE Remote Sensing Remote Sensing for Agriculture, Ecosystems, and Hydrology
First page
85310Z-1
Last page
85310Z-10
Publisher
SPIE
DOI
https://doi.org/10.1117/12.974598 Open in new window
Repository
http://hdl.handle.net/2117/17820 Open in new window
URL
http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1386145 Open in new window
Abstract
Characterization of the snow-pack is fundamental for several applications in hydrology, such as modelling and forecasting of snow melt runoff, water resource management and risk analysis. Thanks to its night/day capabilities and weather conditions independence, Synthetic Aperture Radar (SAR) represents a valuable tool for snow monitoring, especially in mountain areas often covered by clouds. The goal of the research project presented in this communication is to investigate the sensitivity of ful...
Citation
Reppucci, A. [et al.]. Estimation of snow pack characteristics by means of polarimetric SAR data. A: SPIE. "Proceedings SPIE Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV 24–26 September 2012 Edinburgh, United Kingdom. Volume 8531". Edimburg: SPIE, 2012, p. 85310Z-1-85310Z-10.
Keywords
Polarimetry, SAR, Snow
Group of research
RSLAB - Remote Sensing Lab

Participants

  • Reppucci, Antonio  (author and speaker )
  • Banque, Xavier  (author and speaker )
  • López Martínez, Carlos  (author and speaker )
  • Zhan, Yu  (author and speaker )
  • Alonso Gonzalez, Alberto  (author and speaker )