Recognition of indicative landscape objects in protected areas by means of different remote sensing data

Igor Chervanyov* and Alina Ovcharenko

The article presents the results of the study of indicative landscape objects of protected areas through the example of the National Natural Park “Slobozhansky” in Kharkiv region, Ukraine. The authors justified the choice of various types of satellite images and optical scanning windows for getting relevant information. The authors also used the original landscape map with more than 200 elementary units (facies). It was compiled at the previous stage of work by means of automated processing of space information (with the training according to standards) and large-scale ground survey of test objects. 

The method for identifying indicative objects and their characteristics by means of a large-scale landscape photography on the ground with the creation of the database of attributive information has been developed and applied. Indicative local objects were established being appropriate for various components of monitoring; landforms, boundaries of landscape facies; the state of the vegetation cover. 

It is proposed to use the research results for the design of landscape restoration in the contours of previous years, to maintain the conditions of animal habitats (including 20 animal species from the Red Book of Ukraine). The results obtained are already a small contribution to the establishment and assessment of ambiguous manifestations at the local level of the global climate change. 

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Published on: Jan 12, 2021 Pages: 1-2

Full Text PDF Full Text HTML DOI: 10.17352/gje.000036
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