Improving Sea Ice Characterization in Dry Ice Winter Conditions Using Polarimetric Parameters from C- and L-Band SAR Data-Reference-Cited by-同舟云学术

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Improving Sea Ice Characterization in Dry Ice Winter Conditions Using Polarimetric Parameters from C- and L-Band SAR Data

Published:2017-12-07 Issue:12 Volume:9 Page:1270
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Dabboor Mohammed,Montpetit Benoit,Howell Stephen^ORCID,Haas Christian

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/9/12/1270/pdf

Reference40 articles.

1. Sea Ice: Physics and Remote Sensing;Shokr,2015

2. Sea Ice Characteristics and Seasonal Variability of Ers-1 SAR Backscatter in the Bellingshausen Sea;Morris,1998

3. Comparisons of Sea-Ice Velocity Fields from ERS-1 SAR and a dynamic model

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1. Optimizing Soil Moisture Retrieval: Utilizing Compact Polarimetric Features with Advanced Machine Learning Techniques;Land;2023-09-29

2. Melt Season Arctic Sea Ice Type Separability Using Fully and Compact Polarimetric C- and L-Band Synthetic Aperture Radar;Canadian Journal of Remote Sensing;2023-07-12

3. Retrieval of Sea Ice Geophysical Parameters;Sea Ice;2023-04-21

4. Polarimetric SAR Applications of Sea Ice: A Review;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

5. Deep-Learning-Based Sea Ice Classification With Sentinel-1 and AMSR-2 Data;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

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