Machine Learning Algorithms Assessment for Snow LWC Retrieval from SAR Data
Author:
Affiliation:
1. National Research Council – Institute of Applied Physics (CNR-IFAC),Firenze,Italy
2. University of Milano-Bicocca,Dept. of Earth and Environmental Sciences,Italy
3. ISP – CNR,Institute of Polar Sciences,Venezia,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642380.pdf?arnumber=10642380
Reference7 articles.
1. Measuring snow and glacier ice properties from satellite
2. On the Use of COSMO-SkyMed X-Band SAR for Estimating Snow Water Equivalent in Alpine Areas: A Retrieval Approach Based on Machine Learning and Snow Models
3. Combining the Strong Fluctuation Theory with Rough Soil Models for Improving the Simulation Accuracy of Alpine Snowpacks at C- and X-Bands
4. Modeling Active Microwave Remote Sensing of Snow Using Dense Media Radiative Transfer (DMRT) Theory With Multiple-Scattering Effects
5. A physical SNOWPACK model for the Swiss avalanche warning
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