Ukr. geogr. z. 2019, N1:15-23
Language of publication: 

I.G. Chervaniov - V. Karazin Kharkiv National University;
O.V. Zaliubovska - V. Karazin Kharkiv National University;
A.Yu. Ovcharenko - V. Karazin Kharkiv National University.


The purpose of this study is to substantiate the choice of indicative objects for landscape monitoring of the territory of the Slobozhansky National Natural Park (NPP) by studying them according to the data of remote sensing of the Sentinel-2 satellite and field landscape mapping. Considerable amount of experimental research, obtained by using primary scanning data from satellites (geodata), require the effective application of automated processing methods using GIS technologies and deep interpretation. This can significantly change the process of background monitoring of changes occurring in the territory of the NPP, which can be a test subregional object of the Forest-Steppe of Ukraine. In protected areas, landscape changes can serve as indicators of the state and changes in geo-ecological situations. There are two key issues: the selection of representative objects and the indication of changes. To solve the problem of choosing local landscape units and indicating their changes, the authors used a large environmental protection test object - the Slobozhansky national natural park. It was created less than 10 years ago in the basin of the Merla River, a second-order tributary of the Dnieper River. The study used high-resolution processing of geodata obtained by scanning the territory from the satellite Sentinel-2. The research methodology is described, various methods of geodata processing are experimentally verified and compared. Their rational complex has been selected in the context of the purpose of the study. It is determined that the interpretation of satellite images can be effectively used to recognize landscape units through the identification of plant communities (as the most informative component of the landscape). For this purpose, combinations of spectral channels that were most effective for recognizing vegetation cover were selected experimentally. Under field conditions, a correspondence between vegetation cover and certain landscape stands was established. Spectral methods for comparing multi-temporal data were selected to establish seasonal differences and to track temporary (temporal) changes. Significant amount of experimental studies using primary satellite information in combination with automated processing with the use of GIS technologies made it possible to monitor and control the entire process of highly accurate information processing. As additional information, maps of the relief, soil cover, and wetlands were digitized, and then they were subjected to overlay analysis. At the most characteristic key points, the results of the interpretation were verified by the terrestrial landscape survey. The results of the complex were processed with the use of geo-information technologies and supplemented by the use of overlay analysis of the attribute data that had been displayed earlier on the relief maps, vegetation, and water bodies (primarily of lowland marshes). Thus, a landscape map-hypothesis of the facies level – the topologically smallest natural territorial complex of the complex landscape of the territory – was compiled. Founding on the research and analysis of world and domestic experience, the authors suggested using wetlands as an object of monitoring, and contours and condition (aspect) of their surface, recognized semi-automatically using GIS technologies, as indicators.

Key words: 
indicative objects, landscape monitoring, the remote sensing data, space images Sentinel-2, the national nature park «Slobozhanskyi»

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