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Seasonal Dynamics of Fallow Land Vegetation in Krasnoyarsk Forest Steppe According to Ground and Satellite Data
 
PIIS020596140003367-4-1
DOI10.31857/S020596140003367-4
Publication type Article
Status Published
Authors
Irina Botvich 
Affiliation: Institute of Biophysics, Krasnoyarsk Scientific Center, Siberian Branch of the Russian Academy of Sciences
Address: Russian Federation
Tamara Pisman
Affiliation: Institute of Biophysics, Krasnoyarsk Scientific Center, Siberian Branch of the Russian Academy of Sciences
Address: Russian Federation
Natalia Kononova
Affiliation: Institute of Biophysics, Krasnoyarsk Scientific Center, Siberian Branch of the Russian Academy of Sciences
Address: Russian Federation
Anatoly Shevyrnogov
Affiliation: Institute of Biophysics, Krasnoyarsk Scientific Center, Siberian Branch of the Russian Academy of Sciences
Address: Russian Federation
Journal nameIssledovanie Zemli iz kosmosa
EditionIssue 6
Pages39-51
Abstract

The article presents the results obtained after studying the seasonal dynamics of productivity, status and species composition of vegetation in the fallow lands of the Krasnoyarsk forest-steppe (Middle Siberia) according to terrestrial and satellite data for 2017. The results of the study of grassy plant communities on the basis of geobotanical descriptions and terrestrial spectrometry were used to improve the decoding accuracy of satellite images having medium and low resolution. To study the fallow land vegetation, an analysis was made of the seasonal dynamics of various vegetative indices (NDVI, EVI, LSWI, LAI) and indices (NPP, FPAR and land surface temperature – LST) obtained from Modis satellite images. Based on the analysis of satellite data, it was shown that there are no traces of plowing and mowing in the study area. A positive correlation was established between the vegetation indices and the indices characterizing biomass (NDVI, EVI, LAI, NPP) and hydrothermal conditions (LSWI, FPAR and LST).

Keywordsfallow lands, vegetation indices, MODIS, geobotanical studies, Krasnoyarsk Territory
AcknowledgmentThe study was performed in the framework of the Integrated Basic Research Program of the SB RAS "Interdisciplinary Integration Research" for 2018–2020. (project number 74) and G os. tasks, state registration number: АААА-А17–117013050027–1.
Received27.12.2018
Publication date27.12.2018
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