Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Artificial Satellites
Volume 55 (2020): Issue 4 (December 2020)
Open Access
Automatic Detection of Dominant Crop Types in Poland Based on Satellite Images
Joanna Pluto-Kossakowska
Joanna Pluto-Kossakowska
,
Magdalena Pilarska
Magdalena Pilarska
and
Paulina Bartkowiak
Paulina Bartkowiak
| Dec 31, 2020
Artificial Satellites
Volume 55 (2020): Issue 4 (December 2020)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Dec 31, 2020
Page range:
185 - 208
Received:
May 21, 2020
Accepted:
Dec 18, 2020
DOI:
https://doi.org/10.2478/arsa-2020-0013
Keywords
Crop identification
,
multitemporal classification
,
Random Forests
,
Sentinel-2
,
Landsat-8
,
greening practices
© 2020 Joanna Pluto-Kossakowska et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.