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Record
Title
Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data
Type
Journal Article
Publ. year
2020
Author/s
Abdi, Abdulhakim
Department/s
Dept of Physical Geography and Ecosystem Science; Centre for Environmental and Climate Science (CEC)
In LUP since
2019-08-25
Downloads

Total This Year This Month
369 61 1
Downloads per country

United States of America 94 (25%)
Sweden 43 (12%)
Germany 41 (11%)
China 27 (7%)
India 23 (6%)
Russian Federation 15 (4%)
Czechia 15 (4%)
Ethiopia 13 (4%)
Turkey 7 (2%)
France 7 (2%)
South Korea 5 (1%)
Indonesia 5 (1%)
South Africa 5 (1%)
United Kingdom of Great Britain and Northern Ireland 5 (1%)
Croatia 4 (1%)
Netherlands 4 (1%)
Nigeria 4 (1%)
Brazil 3 (1%)
Finland 3 (1%)
Austria 3 (1%)
Morocco 2 (1%)
Pakistan 2 (1%)
Israel 2 (1%)
Senegal 2 (1%)
Cote d'Ivoire 2 (1%)
Viet Nam 2 (1%)
Spain 2 (1%)
Italy 2 (1%)
Unknown 2 (1%)
Canada 2 (1%)
Iran 2 (1%)
Singapore 1 (0%)
Thailand 1 (0%)
Ireland 1 (0%)
Egypt 1 (0%)
Eswatini 1 (0%)
Poland 1 (0%)
Romania 1 (0%)
Denmark 1 (0%)
Hungary 1 (0%)
Japan 1 (0%)
Uganda 1 (0%)
Djibouti 1 (0%)
Malaysia 1 (0%)
Ghana 1 (0%)
Kenya 1 (0%)
Serbia 1 (0%)
Chile 1 (0%)
Nauru 1 (0%)
Lesotho 1 (0%)
Iraq 1 (0%)
Estonia 1 (0%)
Hong Kong (China) 1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access fulltexts. Efforts have been made to exclude downloads by robots and track irregular download activities.

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The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
2022-08-14 23:59:48