Analysis transformation of forests of the Southern Sakhalin by remote sensing data using geoinformation technologies

Abstract The forests in the south of Sakhalin are classified as taiga zone and before the begining of large-scale use almost completely covered its territory. The reserves of spruce and fir forests often reached 600 m 3 per 1 ha. Only in south-western part of Sakhalin broad-leaved forests grows as a...

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Published in:IOP Conference Series: Earth and Environmental Science
Main Authors: Sabirov, R N, Melkiy, V A, Verkhoturov, A A
Format: Article in Journal/Newspaper
Language:unknown
Published: IOP Publishing 2021
Subjects:
Online Access:http://dx.doi.org/10.1088/1755-1315/806/1/012027
https://iopscience.iop.org/article/10.1088/1755-1315/806/1/012027
https://iopscience.iop.org/article/10.1088/1755-1315/806/1/012027/pdf
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spelling crioppubl:10.1088/1755-1315/806/1/012027 2024-06-02T08:13:54+00:00 Analysis transformation of forests of the Southern Sakhalin by remote sensing data using geoinformation technologies Sabirov, R N Melkiy, V A Verkhoturov, A A 2021 http://dx.doi.org/10.1088/1755-1315/806/1/012027 https://iopscience.iop.org/article/10.1088/1755-1315/806/1/012027 https://iopscience.iop.org/article/10.1088/1755-1315/806/1/012027/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining IOP Conference Series: Earth and Environmental Science volume 806, issue 1, page 012027 ISSN 1755-1307 1755-1315 journal-article 2021 crioppubl https://doi.org/10.1088/1755-1315/806/1/012027 2024-05-07T13:57:36Z Abstract The forests in the south of Sakhalin are classified as taiga zone and before the begining of large-scale use almost completely covered its territory. The reserves of spruce and fir forests often reached 600 m 3 per 1 ha. Only in south-western part of Sakhalin broad-leaved forests grows as an admixture in dark coniferous forests. Above the belt of dark coniferous forests were indigenous forest communities of stone birch and thickets of cedar elfin wood. In the floodplains of many rivers, willow-alder and poplar forests grew with the participation of coniferous and some broad-leaved species. The composition, structure and qualitative state of modern forests, due to long-term industrial logging, large-scale fires and other anthropogenic transformations of natural landscapes, significantly differ from their original, natural state. The article evaluates the current state and structure of the forest cover in southern part of Sakhalin according by data obtained from the Landsat-8 spacecraft, soften-up with using geoinformation technologies. Dark coniferous forests have undergone the greatest changes, reducing the occupied area more than 3 times due to their active exploitation over the past century. Currently zonal dark coniferous forests are mostly replaced to derived stone-birch forests, their share have increased significantly in the forest fund. Article in Journal/Newspaper Sakhalin taiga IOP Publishing IOP Conference Series: Earth and Environmental Science 806 1 012027
institution Open Polar
collection IOP Publishing
op_collection_id crioppubl
language unknown
description Abstract The forests in the south of Sakhalin are classified as taiga zone and before the begining of large-scale use almost completely covered its territory. The reserves of spruce and fir forests often reached 600 m 3 per 1 ha. Only in south-western part of Sakhalin broad-leaved forests grows as an admixture in dark coniferous forests. Above the belt of dark coniferous forests were indigenous forest communities of stone birch and thickets of cedar elfin wood. In the floodplains of many rivers, willow-alder and poplar forests grew with the participation of coniferous and some broad-leaved species. The composition, structure and qualitative state of modern forests, due to long-term industrial logging, large-scale fires and other anthropogenic transformations of natural landscapes, significantly differ from their original, natural state. The article evaluates the current state and structure of the forest cover in southern part of Sakhalin according by data obtained from the Landsat-8 spacecraft, soften-up with using geoinformation technologies. Dark coniferous forests have undergone the greatest changes, reducing the occupied area more than 3 times due to their active exploitation over the past century. Currently zonal dark coniferous forests are mostly replaced to derived stone-birch forests, their share have increased significantly in the forest fund.
format Article in Journal/Newspaper
author Sabirov, R N
Melkiy, V A
Verkhoturov, A A
spellingShingle Sabirov, R N
Melkiy, V A
Verkhoturov, A A
Analysis transformation of forests of the Southern Sakhalin by remote sensing data using geoinformation technologies
author_facet Sabirov, R N
Melkiy, V A
Verkhoturov, A A
author_sort Sabirov, R N
title Analysis transformation of forests of the Southern Sakhalin by remote sensing data using geoinformation technologies
title_short Analysis transformation of forests of the Southern Sakhalin by remote sensing data using geoinformation technologies
title_full Analysis transformation of forests of the Southern Sakhalin by remote sensing data using geoinformation technologies
title_fullStr Analysis transformation of forests of the Southern Sakhalin by remote sensing data using geoinformation technologies
title_full_unstemmed Analysis transformation of forests of the Southern Sakhalin by remote sensing data using geoinformation technologies
title_sort analysis transformation of forests of the southern sakhalin by remote sensing data using geoinformation technologies
publisher IOP Publishing
publishDate 2021
url http://dx.doi.org/10.1088/1755-1315/806/1/012027
https://iopscience.iop.org/article/10.1088/1755-1315/806/1/012027
https://iopscience.iop.org/article/10.1088/1755-1315/806/1/012027/pdf
genre Sakhalin
taiga
genre_facet Sakhalin
taiga
op_source IOP Conference Series: Earth and Environmental Science
volume 806, issue 1, page 012027
ISSN 1755-1307 1755-1315
op_rights http://creativecommons.org/licenses/by/3.0/
https://iopscience.iop.org/info/page/text-and-data-mining
op_doi https://doi.org/10.1088/1755-1315/806/1/012027
container_title IOP Conference Series: Earth and Environmental Science
container_volume 806
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container_start_page 012027
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