Key Laboratory of Remote Sensing of Gansu Province, 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, Heihe Remote
Sensing Experimental Research Station, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000,
China
National Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
Yang Zhang
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote
Sensing Experimental Research Station, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000,
China
Zhiguo Ren
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote
Sensing Experimental Research Station, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000,
China
College of resources and environment, University of Chinese Academy of Sciences, Beijing, 1000101, China
Junlei Tan
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote
Sensing Experimental Research Station, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000,
China
Meerzhan Akynbekkyzy
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote
Sensing Experimental Research Station, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000,
China
Lin Xiao
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote
Sensing Experimental Research Station, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000,
China
Shengnan Zhou
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote
Sensing Experimental Research Station, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000,
China
Yuna Yan
College of resources and environment, University of Chinese Academy of Sciences, Beijing, 1000101, China
Institute of Desert Meteorology, China Meteorological Administration,
Urumqi, 830002, China
Hongyi Li
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote
Sensing Experimental Research Station, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000,
China
Lifu Wang
Altay National Reference Meteorological station, China Meteorological
Administration, Altay, 836500, China
Viewed
Total article views: 3,950 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,326
1,482
142
3,950
143
215
HTML: 2,326
PDF: 1,482
XML: 142
Total: 3,950
BibTeX: 143
EndNote: 215
Views and downloads (calculated since 04 Mar 2022)
Cumulative views and downloads
(calculated since 04 Mar 2022)
Total article views: 2,821 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,592
1,117
112
2,821
123
192
HTML: 1,592
PDF: 1,117
XML: 112
Total: 2,821
BibTeX: 123
EndNote: 192
Views and downloads (calculated since 03 Aug 2022)
Cumulative views and downloads
(calculated since 03 Aug 2022)
Total article views: 1,129 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
734
365
30
1,129
20
23
HTML: 734
PDF: 365
XML: 30
Total: 1,129
BibTeX: 20
EndNote: 23
Views and downloads (calculated since 04 Mar 2022)
Cumulative views and downloads
(calculated since 04 Mar 2022)
Viewed (geographical distribution)
Total article views: 3,950 (including HTML, PDF, and XML)
Thereof 3,769 with geography defined
and 181 with unknown origin.
Total article views: 2,821 (including HTML, PDF, and XML)
Thereof 2,728 with geography defined
and 93 with unknown origin.
Total article views: 1,129 (including HTML, PDF, and XML)
Thereof 1,041 with geography defined
and 88 with unknown origin.
An Integrated Microwave Radiometry Campaign for Snow (IMCS) was conducted to collect ground-based passive microwave and optical remote-sensing data, snow pit and underlying soil data, and meteorological parameters. The dataset is unique in continuously providing electromagnetic and physical features of snowpack and environment. The dataset is expected to serve the evaluation and development of microwave radiative transfer models and snow process models, along with land surface process models.
An Integrated Microwave Radiometry Campaign for Snow (IMCS) was conducted to collect...