Object
Title: Mapping tree cover with Sentinel-2 data using the Support Vector Machine (SVM)
Alternative title:
Place of publishing:
Digitisation sponsor:
Instytut Geodezji i Kartografii
Publisher:
Instytut Geodezji i Kartografii
Date issued:
Format:
Resource Identifier:
oai:bc.igik.edu.pl:816 ; ISSN 1689-6440
Call number:
DOI:
Language:
Relation:
Is part of:
Geoinformation Issues Vol. 9 No 1(9)
Access rights:
Dla wszystkich w zakresie dozwolonego użytku
Rights holder:
Instytut Geodezji i Kartografii
Location of original object:
Biblioteka Instytutu Geodezji i Kartografii w Warszawie
Object collections:
Last modified:
Oct 5, 2020
In our library since:
Jul 31, 2018
Number of object content hits:
203
Number of object content views in PDF format
194
All available object's versions:
http://bc.igik.edu.pl/publication/1020
Show description in RDF format:
Show description in OAI-PMH format:
-
Geoinformation Issues: Problemy geoinformacji
-
Geoinformation Issues 2009
-
Geoinformation Issues 2010
-
Geoinformation Issues 2011
-
Geoinformation Issues 2012
-
Geoinformation Issues 2013
-
Geoinformation Issues 2014 Vol. 6 No 1(6)
-
Geoinformation Issues 2015 Vol. 7 No 1(7)
-
Geoinformation Issues 2016 Vol. 8 No 1(8)
-
Geoinformation Issues 2017 Vol. 9 No 1(9)
- Geoinformation Issues 2017 Vol. 9 No 1(9) - introduction
- Expanding seismic surface waves measurements towards low periods with gravity measurements
- Validation of the LAI biophysical product derived from Sentinel-2 and Proba-V images for winter wheat in western Poland
- Mapping tree cover with Sentinel-2 data using the Support Vector Machine (SVM)
- AVHRR LAC satellite cloud climatology over Central Europe derived by the Vectorized Earth Observation Retrieval (VEOR) method and PyLAC software
- Development of a satellite data based model for homogeneous polygons delimitation, for operational use for the agricultural sector in Poland
-
Geoinformation Issues 2018 Vol. 10 No 1(10)
-
Geoinformation Issues 2009
| Edition name | Date |
|---|---|
| Mapping tree cover with Sentinel-2 data using the Support Vector Machine (SVM) | Oct 5, 2020 |
