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Modeling the Radial Stem Growth of the Pine (Pinus sylvestris L.) Forests Using the Satellite-Derived NDVI and LST (MODIS/AQUA) Data

by Ivanova, Yulia , Soukhovolsky, Vlad , Kovalev, Anton

in Approximation / Biomass / boreal forests / Carbon / Climate change / Coniferous forests / Data / field measurements / Forest growth / Forests / Growing season / Land surface temperature / modeling studies of forest / Modelling / MODIS / Normalized difference vegetative index / Photosynthesis / Physiology / Pine / Pine trees / Principal components analysis / Remote sensing / remote sensing data analysis / Satellite data / Satellites / Time series / tree and forest functioning / tree ring width / Tree rings / Trees / Vegetation / Vegetation index

2021

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Modeling the Radial Stem Growth of the Pine (Pinus sylvestris L.) Forests Using the Satellite-Derived NDVI and LST (MODIS/AQUA) Data

by Ivanova, Yulia , Soukhovolsky, Vlad , Kovalev, Anton

2021

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Modeling the Radial Stem Growth of the Pine (Pinus sylvestris L.) Forests Using the Satellite-Derived NDVI and LST (MODIS/AQUA) Data

by Ivanova, Yulia , Soukhovolsky, Vlad , Kovalev, Anton

2021

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Journal Article

Modeling the Radial Stem Growth of the Pine (Pinus sylvestris L.) Forests Using the Satellite-Derived NDVI and LST (MODIS/AQUA) Data

Ivanova, Yulia,

Soukhovolsky, Vlad,

Kovalev, Anton

2021

Overview

The paper considers a new approach to modeling the relationship between the increase in woody phytomass in the pine forest and satellite-derived Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) (MODIS/AQUA) data. The developed model combines the phenological and forest growth processes. For the analysis, NDVI and LST (MODIS) satellite data were used together with the measurements of tree-ring widths (TRW). NDVI data contain features of each growing season. The models include parameters of parabolic approximation of NDVI and LST time series transformed using principal component analysis. The study shows that the current rate of TRW is determined by the total values of principal components of the satellite indices over the season and the rate of tree increment in the preceding year.

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Publisher

MDPI AG

Subject

/ Biomass

/ Carbon

/ Data