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Record
Title
Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
Type
Student Paper
Publ. year
2024
Author/s
Sarelli, Anastasia
Department/s
Dept of Physical Geography and Ecosystem Science
In LUP since
2024-01-30
Downloads

Total This Year This Month
675 51 16
Downloads per country

United States of America 140 (22%)
Sweden 83 (13%)
Greece 38 (6%)
India 35 (6%)
Unknown 21 (3%)
Viet Nam 17 (3%)
China 16 (3%)
Ethiopia 16 (3%)
Thailand 15 (2%)
Germany 15 (2%)
Nigeria 11 (2%)
Belgium 10 (2%)
Hungary 10 (2%)
Turkiye 9 (1%)
United Kingdom of Great Britain and Northern Ireland 9 (1%)
Netherlands (Kingdom of the) 9 (1%)
Bangladesh 8 (1%)
Indonesia 8 (1%)
Norway 8 (1%)
Canada 8 (1%)
Spain 7 (1%)
Denmark 7 (1%)
Hong Kong (China) 6 (1%)
Russian Federation 6 (1%)
Italy 6 (1%)
Japan 5 (1%)
South Africa 5 (1%)
Pakistan 5 (1%)
Tunisia 4 (1%)
Romania 4 (1%)
France 4 (1%)
Iraq 4 (1%)
Nepal 3 (0%)
Cyprus 3 (0%)
Switzerland 3 (0%)
Ukraine 3 (0%)
Egypt 3 (0%)
Ireland 3 (0%)
Ghana 3 (0%)
Australia 2 (0%)
Argentina 2 (0%)
Saudi Arabia 2 (0%)
Austria 2 (0%)
Tanzania, the United Republic of 2 (0%)
Moldova, The Republic of 2 (0%)
Macao 2 (0%)
Brazil 2 (0%)
Czechia 2 (0%)
Algeria 2 (0%)
Iran 2 (0%)
Portugal 2 (0%)
Israel 2 (0%)
Kenya 2 (0%)
Zambia 2 (0%)
Peru 2 (0%)
Finland 2 (0%)
Myanmar 2 (0%)
Croatia 2 (0%)
South Korea 1 (0%)
Malta 1 (0%)
Colombia 1 (0%)
Jordan 1 (0%)
Madagascar 1 (0%)
Malaysia 1 (0%)
Philippines 1 (0%)
Mexico 1 (0%)
Namibia 1 (0%)
Senegal 1 (0%)
Sri Lanka 1 (0%)
Iceland 1 (0%)
Lao People's Democratic Republic 1 (0%)
Djibouti 1 (0%)
Singapore 1 (0%)
Armenia 1 (0%)
Cameroon 1 (0%)
Seychelles 1 (0%)
Serbia 1 (0%)
Rwanda 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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Disclaimer
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
Sat Feb 14 08:51:39 2026