IMPROVING MONITORING MODELS OF LANDS AFFECTED BY NATURAL HAZARDS ON INSPIRE BASIS

Author:

Romanko Roma, Yuriy Fedkovych Chernivtsi National University, Chernivtsi, Ukraine

Language: ukrainian

Annotation:

Urgency of the research. In the context of globalization and the wide use of modern methods and models of spatial analysis of information about the environment, national monitoring system should be developed on unified approaches like INSPIRE.

Target setting. Types of spatial objects and data types shall comply with the definitions and limitations, and include the attributes and association roles set out in the recommendations of INSPIRE.

Actual scientific researches and issues analysis. Attempts to study the problem of land monitoring in Ukraine, mainly concerned that part of lands that have lost their economic and ecological value due to violation of soil as a result of human activity. The question of land monitoring of naturally degraded lands found no meaningful scientific solution.

Uninvestigated parts of general matters defining. To exchange and classification of spatial objects Member States should use the types of spatial objects and associated data types, lists of codes that belong to same themes.

The research objective. Aim of the paper is justification of use INSPIRE recommendations to improve the monitoring system of land exposed to exogenous geological processes (EGP) and determining major classes and subclasses of spatial objects according TWG-NZ.

The statement of basic materials. The application scheme covers the use of elements that are necessary to describe the risk of natural areas according to INSPIRE. This approach will ensure the creation of a network for sharing these data types that can be simulated from any of these four basic spatial objects: 1) area of hazardous processes, 2) individual examined cases, 3) objects (social, economic, environmental, cultural) belonging to danger zones, 4) zones of different levels of risk. Each of them offers 3 types of spatial objects that are divided into classes and subclasses.

Conclusions. This approach of improving land monitoring models under EGP enhances the quality of the integration of data coming from different sources, contributes to the rational distribution of the databases, and solves the problem of unification, describe the structure and composition of the set of geospatial data “Natural risk zones".

Key words:

geospatial data, exogenous geological processes (EGP), land monitoring

References:

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4. Drafting Team “Data Specifications” – deliverable D2.3: Definition of Annex Themes and Scope. Retrieved from http://inspire.ec.europa.eu/reports/ImplementingRules/DataSpecifications/D2.3_Definition _of_Annex_Themes_and_scope_v3.0.pdf.

5. D2.8.III.12 INSPIRE Data Specification on Natural Risk Zones – Technical Guidelines. Retrieved from http://inspire.ec.europa.eu/documents/Data_Specifications/INSPIRE_DataSpecification_NZ_v3.0.pdf.

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