TYPOLOGY OF MEADOW VEGETATION ON THE LEVEL OF ECONOMIC TYPES, ASSOCIATIONS AND SUBASSOCIATIONS BY MEANS OF REMOTE SENSING
Purpose
Intended for use by ecological, nature preservation, agricultural, and other organizations.
Description
A typological classification of floodplain vegetation has been developed based on economic parameters. The classification includes four types: tall-herb sedges, shrubby and herbaceous ferns, tall grasses, and small grasses. These meadow types are distinguishable by their color and structure on orthophotoplans. Decoding of vegetation types on aerial photographs is based on the results of ground surveys and the establishment of calibration areas.
Technical and economic advantages of the development
Classification of agricultural land types is conducted based on remote sensing of the terrain using unmanned aerial vehicles.
The use of remote sensing methodology allows for the differentiation of meadow vegetation not only on the level of agricultural meadow types but also at the level of associations. This method provides enhanced precision and efficiency in categorizing the varied vegetation types over large expanses of land. The economic benefits include reduced costs for ground surveys and increased productivity through the automation of the process of identifying agricultural types of meadows.
Ground calibration sites were used for the survey and delineation of agricultural types. The development significantly reduces costs compared to conventional ground surveys. Additionally, this surveying method allows for much more precise delineation of the actual contours on the terrain of meadow types, associations, and sub-associations..
The delineated vegetation contours, formed as thematic map schemes, can reflect the following layers: the distribution of phytocenoses, specific soil activity, accumulation of radionuclides in above-ground phytomass, above-ground phytomass reserves, and agrochemical soil characteristics. The identification of meadow types will enable the creation of a corresponding database to address planning and forecasting needs concerning floodplain meadows.
The current stage of the implementation of the project
The current stage of the implementation of the project involves the adaptation of a technology for the preparation and survey of floodplain meadows to differentiate vegetation cover by allocating economic types based on remote sensing.
Potential consumers
Potential consumers include environmental and nature conservation organizations, as well as agricultural enterprises.
Commercial proposal
Preparation of objects for remote sensing to differentiate between types of vegetation, paths and methods of use, as well as to forecast the dynamics of their development. Conducting research and development for specific clients.
Nikolay Daineko
HEAD OF THE DEPARTMENT OF BOTANY AND PLANT PHYSIOLOGY
Candidate of biological sciences, Docent
tel. +(375 232) 57-89-05, fax +(375 232) 51-00-77
e-mail: Dajneko@gsu.by, http://biology.gsu.by, https://nis.gsu.by
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