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ANALYSIS OF THE STATE OF PLANT COMMUNITIES IN THE DOLINSKY NATURE SANCTUARY (SAKHALIN) ACCORDING TO SATELLITE SURVEYS
Author(s) -
Inna I. Lobishcheva,
Alexey A. Verkhoturov,
Vyacheslav A. Melkiy
Publication year - 2021
Publication title -
interèkspo geo-sibirʹ
Language(s) - English
Resource type - Journals
ISSN - 2618-981X
DOI - 10.33764/2618-981x-2021-4-1-17-24
Subject(s) - larch , vegetation (pathology) , willow , geography , remote sensing , plant community , physical geography , forestry , environmental science , ecology , ecological succession , medicine , pathology , biology
The determination ratio of timber tree in the composition of stands makes it possible to judge about geoecological state of the vegetation cover. It be noted heterogeneous studying of forests in different regions of the country, in connection with which the research of specially protected natural areas (SPNA), which includes the Dolinsky Nature Sanctuary, with an insufficient number of employees in the forest industry, becomes especially relevant. Automated decoding of remote sensing data serves as an aid to ground-based observations. Work to identify the species composition of forests according to aerospace surveys on the territory of Sakhalin Island previously carried out in small volumes. The Sentinel-2 satellite images of the territory of the Dolinsky Nature Sanctuary, obtained in 2018-2021, analyzed in order to identify the classification features of various plant communities characteristic of the southern part of Sakhalin. On basis of visual interpretation, reference sites for geobotanical studies were identified, which with a high degree of confidence attributed to specific plant formations: fir-spruce, stone-birch, willow-alder river valleys, bamboo, deforested areas and plantings of pine and larch crops. Further work carried out using the methods of geoinformation analysis in ArcGIS. The optimal combinations of channels in the formation of synthesized image composites for the selection of training samples for each plant formation were determined when performing vegetation classification. In case of difficulties with the separation of some formations (larch - pine) in the images, the work carried out based on the materials of multi-season surveys. The obtained characteristics of the training samples can be used for further research in the Dolinsky Nature Sanctuary and beyond.

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