LUP Statistics

Record

Title

Development of a deep learning method for soil moisture estimation at high spatial and temporal resolution using satellite data

Type

Student Paper

Publ. year

2021

Author/s

Simonsen, Nicklas

Department/s

Dept of Physical Geography and Ecosystem Science

In LUP since

2021-06-29

Total	This Year	This Month
684	7	2

Downloads per country

United States of America	91 (13%)
India	80 (11%)
Sweden	75 (11%)
China	32 (5%)
France	30 (4%)
Canada	28 (4%)
Germany	28 (4%)
Italy	22 (3%)
Hong Kong (China)	16 (2%)
Ethiopia	16 (2%)
Russian Federation	16 (2%)
Iran	15 (2%)
Zimbabwe	13 (2%)
Netherlands (Kingdom of the)	11 (2%)
Morocco	11 (2%)
Singapore	10 (1%)
Brazil	10 (1%)
Viet Nam	9 (1%)
South Africa	9 (1%)
Australia	8 (1%)
Czechia	8 (1%)
Kazakhstan	7 (1%)
Thailand	7 (1%)
United Kingdom of Great Britain and Northern Ireland	7 (1%)
Tunisia	7 (1%)
Japan	7 (1%)
Poland	6 (1%)
South Korea	6 (1%)
Iraq	6 (1%)
Egypt	5 (1%)
Colombia	5 (1%)
Malaysia	4 (1%)
Austria	4 (1%)
Greece	4 (1%)
Uganda	4 (1%)
Rwanda	4 (1%)
Norway	4 (1%)
Indonesia	4 (1%)
Turkiye	4 (1%)
Unknown	4 (1%)
Bangladesh	4 (1%)
Pakistan	3 (0%)
Cameroon	3 (0%)
Chile	3 (0%)
Jordan	3 (0%)
Spain	3 (0%)
Nepal	3 (0%)
Nigeria	3 (0%)
United Arab Emirates	3 (0%)
Kenya	2 (0%)
Belgium	2 (0%)
Philippines	2 (0%)
New Zealand	2 (0%)
Ireland	2 (0%)
Ecuador	2 (0%)
Uzbekistan	2 (0%)
Finland	2 (0%)
Ghana	2 (0%)
Taiwan (China)	2 (0%)
Ukraine	1 (0%)
Saudi Arabia	1 (0%)
Mongolia	1 (0%)
Switzerland	1 (0%)
Burkina Faso	1 (0%)
Georgia	1 (0%)
Portugal	1 (0%)
Denmark	1 (0%)
Peru	1 (0%)
Macao	1 (0%)
Romania	1 (0%)
Mexico	1 (0%)
Bolivia	1 (0%)
Madagascar	1 (0%)
Puerto Rico	1 (0%)
Slovenia	1 (0%)
Latvia	1 (0%)