Methodology for studying anthropogen-ic impact on vegetation with the use of vegetation indices as indicators of anthropogenic dynamics of the state of geosystems

by

A.A. Egorkin1,2, V.S. Krasovskaya1

1Institute of Natural and Technical Systems, Sevastopol, RF, Lenin St., 28

2FGKVOU VPO “Black Sea Higher Naval Order of the Red Star School named after P.S. Nakhimov”,

 RF, Sevastopol, Dybenko St., 1a

E-mail: egorkin1974@yandex.ru

DOI: 10.33075/2220-5861-2025-4-95-105

UDC 504.064                                                             

EDN: https://elibrary.ru/spiqnr

Abstract:

To study the Earth’s vegetation cover, in additiontoterrestrial, dataandmethods of remotesensing of the Earth(remote sensing) are increasinglyused.Thesedata,as a rule,containdigitizedandtransformedvalues of the intensitiesofreflectedelectromagneticwavesin the visibleandinfraredranges of certainareas of the Earth’s surface.Usinganarray of remote sensingdata, it is possible to studyandevaluate the state of vegetationon a plotof the Earthsurfaceby the state indicators.Oneofthese stateindicatorsis the vegetativeindices. It characterizes the volume of biomassperunit of the Earth’s surfaceareaandis a dimensionlessquantity. A characteristicfeatureof the vegetation state is the spectralreflectivity,characterized by largedifferencesin the radiation reflection of differentwavelengths.Thisfeature is the basis for thecalculation of vegetationindicesbymathematicaloperationswithdifferentspectralchannelsineachpixel of the imageobtainedfromremotesensing.Inthispaper, we studied the dynamics of changes in vegetationindicesovertimefrom2015to2024, and based ontheirvalues, we identified a relationshipbetweenzoneswithincreasedconcentrations of atmosphericpollutantsandareas of thecoastalterritorywithdamagedvegetation.Thisperiodwaschosentostudy the relationshipsandcompare the results of summarycalculations of the dispersion of pollutantswith the data of anthropogenicimpacton the studyarea. The followingvegetationindices(NDVI,GNDVI,NBR,SWVI)wereselected, the values of which are sensitivetochanges in the vegetation state.

Keywords: remote sensing, atmospheric pollution, summary calculations, vegetation indices

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