Sea ice surface type classification of ICESat-2 ATL07 data by using data-driven machine learning model: Ross Sea, Antarctic as an example-Reference-Cited by-同舟云学术

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Sea ice surface type classification of ICESat-2 ATL07 data by using data-driven machine learning model: Ross Sea, Antarctic as an example

Published:2023-10 Issue: Volume:296 Page:113726
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Koo Younghyun,Xie Hongjie,Kurtz Nathan T.,Ackley Stephen F.,Wang Wei

Funder

European Space Agency

National Science Foundation

National Aeronautics and Space Administration

University of Texas at San Antonio

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference57 articles.

1. Surface flooding of Antarctic summer sea ice;Ackley;Ann. Glaciol.,2020

2. Sea-ice production and air/ice/ocean/biogeochemistry interactions in the Ross Sea during the PIPERS 2017 autumn field campaign;Ackley;Ann. Glaciol.,2020

3. The relation between sea ice thickness and freeboard in the Arctic;Alexandrov;Cryosphere,2010

4. Estimation of heat and mass fluxes over Arctic leads;Andreas;Mon. Weather Rev.,1980

5. Introduction neural networks in remote sensing;Atkinson;Int. J. Remote Sens.,1997

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