Snow depth retrieval from passive microwave imagery using different artificial neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-020-05642-x.pdf
Reference39 articles.
1. Abrahart RJ, Kneale PE, See LM (2004) Neural networks for hydrological modeling. Taylor & Francis Group plc, London
2. ASCE Task Committee on Application of Artificial Neural Networks in Hydrology (2000a) Artificial neural networks in hydrology. I: Preliminary concepts. J Hydrol Eng 5(2):115–123. https://doi.org/10.1061/(ASCE)1084-0699(2000)5:2(115)
3. ASCE Task Committee on Application of Artificial Neural Networks in Hydrology (2000b) Artificial neural networks in hydrology. II: Hydrologic applications. J Hydrol Eng 5(2):124–137. https://doi.org/10.1061/(ASCE)1084-0699(2000)5:2(124)
4. Chang ATC, Foster JL, Hall DK, Rango A, Hartline BK (1982) Snow water equivalent estimation by microwave radiometry. Cold Reg Sci Technol 5(3):259–267. https://doi.org/10.1016/0165-232X(82)90019-2
5. Chang ATC, Foster JL, Hall DK (1987) Nimbus-7 SMMR derived global snow cover parameters. Ann Glaciol 9:39–44. https://doi.org/10.3189/S0260305500200736
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. Snow depth retrieval from microwave remote sensing by combining wavelet transform and machine learning models in Northern Xinjiang, China;Journal of Applied Remote Sensing;2024-06-19
2. A multi-model approach based on CARIMA-SARIMA-GPM for assessing the impacts of climate change on concentrated photovoltaic (CPV) potential;Physics and Chemistry of the Earth, Parts A/B/C;2024-06
3. Moderate-resolution snow depth product retrieval from passive microwave brightness data over Xinjiang using machine learning approach;International Journal of Digital Earth;2024-01
4. Snow identification from unattended automatic weather stations images using DANet;Frontiers in Earth Science;2023-07-06
5. Passive Microwave Remote Sensing of Snow Depth: Techniques, Challenges and Future Directions;Remote Sensing;2023-02-15
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