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Assessment of urban pine forests state using the vegetation index NDVI
Author(s) -
Konstantin Zakharov,
Yu V Somova,
M M Gladysheva,
Yu Yu Kolba,
N A Sedinkina,
А.С. Гавриленко
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/613/1/012163
Subject(s) - normalized difference vegetation index , multispectral image , vegetation index , vegetation (pathology) , enhanced vegetation index , vegetation cover , physical geography , geography , period (music) , remote sensing , forest cover , environmental science , index (typography) , forestry , satellite imagery , leaf area index , ecology , land use , medicine , physics , pathology , world wide web , computer science , acoustics , biology
The condition of the vegetation cover in Moscow was estimated using the NDVI vegetation index. To construct synthetic images, Landsat 5, 7, and 8 multispectral satellite images taken during the active vegetation period from 1999 to 2019 were used. Index indicators are calculated for pine forests located in protected areas, in urban parks among high-rise buildings and inside private low-rise building districts. The results showed differences in the NDVI values between these three types of birch forests, however, temporal trends show similar dynamics of changes in the physiological state of trees over the studied period.

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