Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Jian Wang
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Wenzheng Ji
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
University of Chinese Academy of Sciences, Beijing 100049, China
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2,819
1,044
130
3,993
132
180
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PDF: 1,044
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Total: 3,993
BibTeX: 132
EndNote: 180
Views and downloads (calculated since 08 Nov 2021)
Cumulative views and downloads
(calculated since 08 Nov 2021)
Total article views: 2,998 (including HTML, PDF, and XML)
HTML
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Total
BibTeX
EndNote
2,219
671
108
2,998
114
164
HTML: 2,219
PDF: 671
XML: 108
Total: 2,998
BibTeX: 114
EndNote: 164
Views and downloads (calculated since 21 Feb 2022)
Cumulative views and downloads
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Total article views: 995 (including HTML, PDF, and XML)
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600
373
22
995
18
16
HTML: 600
PDF: 373
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Total: 995
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EndNote: 16
Views and downloads (calculated since 08 Nov 2021)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 3,993 (including HTML, PDF, and XML)
Thereof 3,850 with geography defined
and 143 with unknown origin.
Total article views: 2,998 (including HTML, PDF, and XML)
Thereof 2,895 with geography defined
and 103 with unknown origin.
Total article views: 995 (including HTML, PDF, and XML)
Thereof 955 with geography defined
and 40 with unknown origin.
The temporal series and spatial distribution discontinuity of the existing snow water equivalent (SWE) products in the pan-Arctic region severely restricts the use of SWE data in cryosphere change and climate change studies. Using a ridge regression machine learning algorithm, this study developed a set of spatiotemporally seamless and high-precision SWE products. This product could contribute to the study of cryosphere change and climate change at large spatial scales.
The temporal series and spatial distribution discontinuity of the existing snow water equivalent...
