The influence of tree transmissivity variations in winter on satellite snow parameter observations-Reference-Cited by-同舟云学术

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The influence of tree transmissivity variations in winter on satellite snow parameter observations

Published:2021-07-16 Issue:10 Volume:14 Page:1337-1353
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Li Qinghuan¹²^ORCID,Kelly Richard¹^ORCID,Lemmetyinen Juha³^ORCID,De Roo Roger D.⁴^ORCID,Pan Jinmei²^ORCID,Qiu Yubao²^ORCID

Affiliation:

1. Geography and Environmental Management, University of Waterloo, Waterloo, Canada

2. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of China

3. Finnish Meteorological Institute, Helsinki, Finland

4. Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, USA

Funder

JAXA GCOM-W funding

the National Key Research and Development Program of China

NSERC Discovery Grant

European Union H2020

International Network for Terrestrial Research and Monitoring in the Arctic

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2021.1950852

Reference43 articles.

1. EFFECTS OF FOREST ON THE SNOW PARAMETERS DERIVED FROM MICROWAVE MEASUREMENTS DURING THE BOREAS WINTER FIELD CAMPAIGN

2. The Effect of Boreal Forest Canopy in Satellite Snow Mapping—A Multisensor Analysis

3. The contribution of AMSR-E 18.7 and 10.7 GHz measurements to improved boreal forest snow water equivalent retrievals

4. Quantifying the uncertainty in passive microwave snow water equivalent observations

Cited by 3 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. Development of a Pixel-Wise Forest Transmissivity Model at Frequencies of 19 GHz and 37 GHz for Snow Depth Inversion in Northeast China;Remote Sensing;2022-10-31

2. Comparison of Machine Learning-Based Snow Depth Estimates and Development of a New Operational Retrieval Algorithm over China;Remote Sensing;2022-06-10

3. Remote sensing experiments for earth system science;International Journal of Digital Earth;2021-09-27

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