Using Artificial Neural Networks to Couple Satellite C-Band Synthetic Aperture Radar Interferometry and Alpine3D Numerical Model for the Estimation of Snow Cover Extent, Height, and Density-Reference-Cited by-同舟云学术

Using Artificial Neural Networks to Couple Satellite C-Band Synthetic Aperture Radar Interferometry and Alpine3D Numerical Model for the Estimation of Snow Cover Extent, Height, and Density

Published:2023 Issue: Volume:16 Page:2868-2888
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Palermo Gianluca¹^ORCID,Raparelli Edoardo¹,Tuccella Paolo²^ORCID,Orlandi Massimo³^ORCID,Marzano Frank Silvio¹^ORCID

Affiliation:

1. Dipartimento di Ingegneria dell'Informazione, Elettronica e Telecomunicazioni, Sapienza Università di Roma, Rome, Italy

2. Department DSFC and the Center of Excellence CETEMPS, Università dell'Aquila, L'Aquila, Italy

3. Progressive Systems for ESA, Frascati, Italy

Funder

Sapienza University of Rome and CETEMPS

Agenzia Spaziale Italiana

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10065591.pdf?arnumber=10065591

Reference64 articles.

1. Extension of the Microwave Emission Model of Layered Snowpacks to Coarse-Grained Snow

2. Microwave Radar and Radiometric Remote Sensing

3. Microwave Emission Model of Layered Snowpacks

4. Seasonal Snow Cover Mapping in Alpine Areas Through Time Series of COSMO-SkyMed Images

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