Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, Key Laboratory for Land Satellite Remote Sensing
Applications of Ministry of Natural Resources, School of Geography and Ocean
Science, Nanjing University, Nanjing, Jiangsu 210023, China
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, Key Laboratory for Land Satellite Remote Sensing
Applications of Ministry of Natural Resources, School of Geography and Ocean
Science, Nanjing University, Nanjing, Jiangsu 210023, China
Pengfeng Xiao
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, Key Laboratory for Land Satellite Remote Sensing
Applications of Ministry of Natural Resources, School of Geography and Ocean
Science, Nanjing University, Nanjing, Jiangsu 210023, China
Jiangsu Center for Collaborative Innovation in Geographical
Information Resource Development and Application, Nanjing University, Nanjing, Jiangsu 210023,
China
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote
Sensing Experimental Research Station, Cold and Arid Regions Environmental
and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou
730000, China
Zhaojun Zheng
The National Satellite Meteorological Center, Beijing
100081, China
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote
Sensing Experimental Research Station, Cold and Arid Regions Environmental
and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou
730000, China
Wenbo Luan
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, Key Laboratory for Land Satellite Remote Sensing
Applications of Ministry of Natural Resources, School of Geography and Ocean
Science, Nanjing University, Nanjing, Jiangsu 210023, China
Viewed
Total article views: 3,193 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,185
908
100
3,193
118
169
HTML: 2,185
PDF: 908
XML: 100
Total: 3,193
BibTeX: 118
EndNote: 169
Views and downloads (calculated since 24 Mar 2022)
Cumulative views and downloads
(calculated since 24 Mar 2022)
Total article views: 2,112 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,548
492
72
2,112
100
154
HTML: 1,548
PDF: 492
XML: 72
Total: 2,112
BibTeX: 100
EndNote: 154
Views and downloads (calculated since 09 Jan 2023)
Cumulative views and downloads
(calculated since 09 Jan 2023)
Total article views: 1,081 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
637
416
28
1,081
18
15
HTML: 637
PDF: 416
XML: 28
Total: 1,081
BibTeX: 18
EndNote: 15
Views and downloads (calculated since 24 Mar 2022)
Cumulative views and downloads
(calculated since 24 Mar 2022)
Viewed (geographical distribution)
Total article views: 3,193 (including HTML, PDF, and XML)
Thereof 3,108 with geography defined
and 85 with unknown origin.
Total article views: 2,112 (including HTML, PDF, and XML)
Thereof 2,066 with geography defined
and 46 with unknown origin.
Total article views: 1,081 (including HTML, PDF, and XML)
Thereof 1,042 with geography defined
and 39 with unknown origin.
The geographically and temporally weighted neural network (GTWNN) model is constructed for estimating large-scale daily snow density by integrating satellite, ground, and reanalysis data, which addresses the importance of spatiotemporal heterogeneity and a nonlinear relationship between snow density and impact variables, as well as allows us to understand the spatiotemporal pattern and heterogeneity of snow density in different snow periods and snow cover regions in China from 2013 to 2020.
The geographically and temporally weighted neural network (GTWNN) model is constructed for...
