Data mining of the land cover in Ukraine on the basis of Globeland 30 data
Use of the remote sensing data for land cover classification was considered using the example of Globeland 30 product. The basic properties of the product and features of qualitative characteristics’ distribution were studied. A distribution of the main types of land use on administrative units was...
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Format: | Article |
Language: | English |
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National Aviation University
2016-10-01
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Series: | Вісник Астрономічної школи |
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Online Access: | http://astro.nau.edu.ua/issues/2016_V.12_Iss.1/Putrenko.html |
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author | V. V. Putrenko |
author_facet | V. V. Putrenko |
author_sort | V. V. Putrenko |
collection | DOAJ |
description | Use of the remote sensing data for land cover classification was considered using the example of Globeland 30 product. The basic properties of the product and features of qualitative characteristics’ distribution were studied. A distribution of the main types of land use on administrative units was determined and a diversity in the land use was calculated on the basis of the Shannon index. |
first_indexed | 2024-12-20T01:41:09Z |
format | Article |
id | doaj.art-eec1815ffc6949209f0d56c265176d5b |
institution | Directory Open Access Journal |
issn | 1607-2855 2411-6602 |
language | English |
last_indexed | 2024-12-20T01:41:09Z |
publishDate | 2016-10-01 |
publisher | National Aviation University |
record_format | Article |
series | Вісник Астрономічної школи |
spelling | doaj.art-eec1815ffc6949209f0d56c265176d5b2022-12-21T19:57:54ZengNational Aviation UniversityВісник Астрономічної школи1607-28552411-66022016-10-01121778510.18372/2411-6602.12.10772411-6602.12.1077Data mining of the land cover in Ukraine on the basis of Globeland 30 dataV. V. Putrenko0National Technical University of Ukraine "Kyiv Polytechnic Institute", UkraineUse of the remote sensing data for land cover classification was considered using the example of Globeland 30 product. The basic properties of the product and features of qualitative characteristics’ distribution were studied. A distribution of the main types of land use on administrative units was determined and a diversity in the land use was calculated on the basis of the Shannon index.http://astro.nau.edu.ua/issues/2016_V.12_Iss.1/Putrenko.htmlland coverland useremote sensingzoningShannon index |
spellingShingle | V. V. Putrenko Data mining of the land cover in Ukraine on the basis of Globeland 30 data Вісник Астрономічної школи land cover land use remote sensing zoning Shannon index |
title | Data mining of the land cover in Ukraine on the basis of Globeland 30 data |
title_full | Data mining of the land cover in Ukraine on the basis of Globeland 30 data |
title_fullStr | Data mining of the land cover in Ukraine on the basis of Globeland 30 data |
title_full_unstemmed | Data mining of the land cover in Ukraine on the basis of Globeland 30 data |
title_short | Data mining of the land cover in Ukraine on the basis of Globeland 30 data |
title_sort | data mining of the land cover in ukraine on the basis of globeland 30 data |
topic | land cover land use remote sensing zoning Shannon index |
url | http://astro.nau.edu.ua/issues/2016_V.12_Iss.1/Putrenko.html |
work_keys_str_mv | AT vvputrenko dataminingofthelandcoverinukraineonthebasisofglobeland30data |