Name
Title | ||
|---|---|---|
Using the Random Forest Classification for Land Cover Interpretation of Landsat Images in the Prykarpattya Region of Ukraine |
Abstract | ||
|---|---|---|
The Random Forest classification which has a range substantial advantages was used for land cover investigations. Such a classification algorithm was applied in R software. Main land cover areas (coniferous, deciduous, water, urban territory and grasslands) were interpreted on Landsat image and accuracy of classification was estimated using different indexes, including OOB (Out-of-Bag) and Kappa index. According to research results a thematic map of land cover was formed. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/STC-CSIT.2018.8526646 | 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT) |
Keywords | DocType | Volume |
land cover,Landsat image,Random Forest classification,image interpretation,thematic map | Conference | 1 |
ISBN | Citations | PageRank |
978-1-5386-6465-0 | 0 | 0.34 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olha Tokar | 1 | 0 | 0.34 |
| Olena Vovk | 2 | 1 | 1.07 |
| Lubov Kolyasa | 3 | 0 | 0.34 |
| Serhii Havryliuk | 4 | 0 | 0.34 |
| Mykola Korol | 5 | 0 | 0.34 |