Skip to main content
Record
Title
Assessing edge pixel classification and growing stock volume estimation in forest stands using a machine learning algorithm and Sentinel-2 data
Type
Student Paper
Publ. year
2018
Author/s
Zerega, Enzo
Department/s
Dept of Physical Geography and Ecosystem Science
In LUP since
2018-07-12
Downloads

Total This Year This Month
309 14 0
Downloads per country

Sweden 58 (19%)
United States of America 38 (12%)
China 26 (8%)
Poland 17 (6%)
Germany 16 (5%)
Finland 10 (3%)
France 9 (3%)
India 8 (3%)
Taiwan (China) 7 (2%)
Morocco 7 (2%)
Greece 7 (2%)
Russian Federation 7 (2%)
Italy 6 (2%)
Iran 5 (2%)
Bosnia and Herzegovina 5 (2%)
Hong Kong (China) 4 (1%)
Singapore 4 (1%)
Austria 4 (1%)
Portugal 4 (1%)
Czechia 4 (1%)
Hungary 3 (1%)
Pakistan 3 (1%)
South Korea 3 (1%)
Canada 3 (1%)
Unknown 3 (1%)
Australia 3 (1%)
Indonesia 3 (1%)
Iceland 2 (1%)
Ukraine 2 (1%)
Philippines 2 (1%)
Serbia 2 (1%)
Viet Nam 2 (1%)
Denmark 2 (1%)
Djibouti 2 (1%)
South Africa 2 (1%)
Peru 2 (1%)
Nigeria 1 (0%)
Ireland 1 (0%)
Cote d'Ivoire 1 (0%)
Netherlands (Kingdom of the) 1 (0%)
Norway 1 (0%)
Croatia 1 (0%)
Cameroon 1 (0%)
Bangladesh 1 (0%)
Mozambique 1 (0%)
Nicaragua 1 (0%)
Chile 1 (0%)
Spain 1 (0%)
Colombia 1 (0%)
United Kingdom of Great Britain and Northern Ireland 1 (0%)
Turkiye 1 (0%)
Ghana 1 (0%)
Malaysia 1 (0%)
Argentina 1 (0%)
Latvia 1 (0%)
Tunisia 1 (0%)
Mexico 1 (0%)
Thailand 1 (0%)
Bulgaria 1 (0%)
Switzerland 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.

About accessibility

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
Wed Sep 18 08:47:44 2024