A neural network-based method for satellite-based mapping of sediment-laden sea ice in the Arctic-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A neural network-based method for satellite-based mapping of sediment-laden sea ice in the Arctic

Published:2022-03 Issue: Volume:270 Page:112861
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Waga Hisatomo,Eicken Hajo,Light Bonnie,Fukamachi Yasushi

Funder

Office of Polar Programs

Government of Japan Ministry of Education Culture Sports Science and Technology

Office of Science

National Science Foundation

Biological and Environmental Research

Achievement Rewards for College Scientists Foundation

US Department of Energy

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference60 articles.

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

2. Sediment-laden sea ice in southern Hudson Bay: entrainment, transport, and biogeochemical implications;Barber;Elem. Sci. Anth.,2021

3. Arctic tidal current atlas;Baumann;Sci. Data,2020

4. Classification of sea ice types in Sentinel-1 SAR data using convolutional neural networks;Boulze;Remote Sens.,2020

5. Mesozooplankton prey preference and grazing impact in the western Arctic Ocean;Campbell;Deep-Sea Res. II,2009

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Characteristics of late summer Arctic brash sea ice and its melting effect on the surface-water biogeochemistry of the Chukchi Shelf and Canada Basin;Elem Sci Anth;2024

2. Simulating daily PM2.5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data;Chemosphere;2023-11

3. A blind convolutional deep autoencoder for spectral unmixing of hyperspectral images over waterbodies;Frontiers in Earth Science;2023-10-13

4. Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems;Ships and Offshore Structures;2022-11-01

5. Pan-Arctic melt pond fraction trend, variability, and contribution to sea ice changes;Global and Planetary Change;2022-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3