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: 3,436 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,184
1,118
134
3,436
135
178
HTML: 2,184
PDF: 1,118
XML: 134
Total: 3,436
BibTeX: 135
EndNote: 178
Views and downloads (calculated since 04 Mar 2022)
Cumulative views and downloads
(calculated since 04 Mar 2022)
Total article views: 2,367 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,497
766
104
2,367
118
157
HTML: 1,497
PDF: 766
XML: 104
Total: 2,367
BibTeX: 118
EndNote: 157
Views and downloads (calculated since 03 Aug 2022)
Cumulative views and downloads
(calculated since 03 Aug 2022)
Total article views: 1,069 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
687
352
30
1,069
17
21
HTML: 687
PDF: 352
XML: 30
Total: 1,069
BibTeX: 17
EndNote: 21
Views and downloads (calculated since 04 Mar 2022)
Cumulative views and downloads
(calculated since 04 Mar 2022)
Viewed (geographical distribution)
Total article views: 3,436 (including HTML, PDF, and XML)
Thereof 3,246 with geography defined
and 190 with unknown origin.
Total article views: 2,367 (including HTML, PDF, and XML)
Thereof 2,269 with geography defined
and 98 with unknown origin.
Total article views: 1,069 (including HTML, PDF, and XML)
Thereof 977 with geography defined
and 92 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...
