Classification of volyn forests according to data of multispectral satellite images

Classification of volyn forests according to data of multispectral satellite images

The article deals with the issue of combining modern open geographic information systems and data from remote sensing of the Earth in the tasks of forest management. Classifiers have been developed based on the method of field uplift and the designation of landfills on the basis of existing plans fo...

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Main Authors: Oleksandr Melnyk, Pavlo Manko
Format: Article
Language:English
Published: PC Technology Center 2018-09-01
Series:ScienceRise
Online Access:http://journals.uran.ua/sciencerise/article/view/143139
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spelling doaj-4fbfd375fe9349c1bc4d76037a2b3a872020-11-24T21:36:18ZengPC Technology CenterScienceRise2313-62862313-84162018-09-0199253010.15587/2313-8416.2018.143139143139Classification of volyn forests according to data of multispectral satellite imagesOleksandr Melnyk0Pavlo Manko1Восточноевропейский национальный университет имени Леси Украинки пр. Воли, 13, м. Луцьк, Украина, 43025Восточноевропейский национальный университет имени Леси Украинки пр. Воли, 13, м. Луцьк, Украина, 43025The article deals with the issue of combining modern open geographic information systems and data from remote sensing of the Earth in the tasks of forest management. Classifiers have been developed based on the method of field uplift and the designation of landfills on the basis of existing plans for afforestation. Controlled classification of research objects is conducted and the accuracy of the results is evaluated. It is established that the accuracy of the determination of individual classes directly depends on the percentage of objects and errors of the end user in the process of their definitionhttp://journals.uran.ua/sciencerise/article/view/143139
collection DOAJ
language English
format Article
sources DOAJ
author Oleksandr Melnyk
Pavlo Manko
spellingShingle Oleksandr Melnyk
Pavlo Manko
Classification of volyn forests according to data of multispectral satellite images
ScienceRise
author_facet Oleksandr Melnyk
Pavlo Manko
author_sort Oleksandr Melnyk
title Classification of volyn forests according to data of multispectral satellite images
title_short Classification of volyn forests according to data of multispectral satellite images
title_full Classification of volyn forests according to data of multispectral satellite images
title_fullStr Classification of volyn forests according to data of multispectral satellite images
title_full_unstemmed Classification of volyn forests according to data of multispectral satellite images
title_sort classification of volyn forests according to data of multispectral satellite images
publisher PC Technology Center
series ScienceRise
issn 2313-6286
2313-8416
publishDate 2018-09-01
description The article deals with the issue of combining modern open geographic information systems and data from remote sensing of the Earth in the tasks of forest management. Classifiers have been developed based on the method of field uplift and the designation of landfills on the basis of existing plans for afforestation. Controlled classification of research objects is conducted and the accuracy of the results is evaluated. It is established that the accuracy of the determination of individual classes directly depends on the percentage of objects and errors of the end user in the process of their definition
url http://journals.uran.ua/sciencerise/article/view/143139
work_keys_str_mv AT oleksandrmelnyk classificationofvolynforestsaccordingtodataofmultispectralsatelliteimages
AT pavlomanko classificationofvolynforestsaccordingtodataofmultispectralsatelliteimages
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