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: 3,211 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,077
1,007
127
3,211
124
165
HTML: 2,077
PDF: 1,007
XML: 127
Total: 3,211
BibTeX: 124
EndNote: 165
Views and downloads (calculated since 04 Mar 2022)
Cumulative views and downloads
(calculated since 04 Mar 2022)
Total article views: 2,168 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,404
666
98
2,168
111
150
HTML: 1,404
PDF: 666
XML: 98
Total: 2,168
BibTeX: 111
EndNote: 150
Views and downloads (calculated since 03 Aug 2022)
Cumulative views and downloads
(calculated since 03 Aug 2022)
Total article views: 1,043 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
673
341
29
1,043
13
15
HTML: 673
PDF: 341
XML: 29
Total: 1,043
BibTeX: 13
EndNote: 15
Views and downloads (calculated since 04 Mar 2022)
Cumulative views and downloads
(calculated since 04 Mar 2022)
Viewed (geographical distribution)
Total article views: 3,211 (including HTML, PDF, and XML)
Thereof 3,032 with geography defined
and 179 with unknown origin.
Total article views: 2,168 (including HTML, PDF, and XML)
Thereof 2,078 with geography defined
and 90 with unknown origin.
Total article views: 1,043 (including HTML, PDF, and XML)
Thereof 954 with geography defined
and 89 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...