STUDY OF INFLUENCE OF THE FAULT ZONES ON VEGETATION COVER OF STATE TERRITORY OF THE NATURE SANCTUARY "DOLINSKY" (SAKHALIN ISLAND) USING EARTH’S REMOTE SENSING DATA

O. Kuptsova, Inna I. Lobishcheva, A. A. Verhoturov, V. Melkiy
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Abstract

Fault zones on the territory of Nature Sanctuary “Dolinsky” (Sakhalin Island), which are characterized by high geodynamic activity, are generally well distinguished when analyzing satellite imagery materials. In any territory, it is not difficult to identify the various plant communities that occupy it, as well as to determine their state by the content of phytomass determined by the vegetation index NDVI. The aim of the study is to test the validity of the hypothesis about the formation of abundant vegetation cover within the fault zones by analyzing the state of various plant communities by the volume of phytomass. Methods: decryption and analysis of Earth remote sensing data from Sentinel, Landsat and SRTM generation, geoinformation mapping on the ArcGIS platform. Results. In the course of the study, the state of the Nature Sanctuary “Dolinsky” analyzed by Landsat-8, Sentinel-2A satellite sur-veys, as well as SRTM data. Fault zones identified using the software systems ArcGIS, QGIS, and PyLEFA by lineament analysis, vegetation was classified by the maximum likelihood method, and its condition was determined by the values of the NDVI index, which reflects the content of phytomass in the study area. As result of the work carried out, an increase in phytomass revealed, and, consequently, good conditions for the growth of plant communities confined to the zones of distribution of faults of the earth's crust, and the reliability of the working hypothesis confirmed.
利用地球遥感数据研究自然保护区" dolinsky "(库页岛)国家领土上断裂带对植被覆盖的影响
自然保护区“多林斯基”(库页岛)境内的断裂带以高地球动力学活动为特征,在分析卫星图像材料时通常可以很好地区分。在任何一块土地上,通过植被指数NDVI所确定的植物生物量的含量来识别其所占据的各种植物群落,以及确定其状态都是不难的。本研究的目的是通过分析不同植物群落的生物量状况来检验断裂带内形成丰富植被覆盖的假设的有效性。方法:对Sentinel、Landsat、SRTM等地球遥感数据进行解密分析,在ArcGIS平台上进行地理信息制图。结果。在研究过程中,通过Landsat-8, Sentinel-2A卫星调查以及SRTM数据分析了自然保护区“多林斯基”的状态。利用ArcGIS、QGIS和PyLEFA等软件系统对研究区进行地貌分析,确定断裂带,采用极大似然法对植被进行分类,植被状况由反映研究区植物质量含量的NDVI指数确定。由于所进行的工作,植物质量的增加揭示了,因此,在地壳断层分布区内植物群落生长的良好条件,并证实了工作假设的可靠性。
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