Journal of Siberian Federal University. Engineering & Technologies / Agricultural Vegetation Phenology Monitoring by Modis Data Time Series Analysis

Full text (.pdf)
Issue
Journal of Siberian Federal University. Engineering & Technologies. 2018 11 (6)
Authors
Botvich, Irina Yu.; Shevyrnogov, Anatoly P.
Contact information
Botvich, Irina Yu.: Institute of Biophysics SB RAS FRC “Krasnoyarsk Science Center SB RAS” 50/50 Akademgorodok, Krasnoyarsk, 660036, Russia; Shevyrnogov, Anatoly P.: Institute of Biophysics SB RAS FRC “Krasnoyarsk Science Center SB RAS” 50/50 Akademgorodok, Krasnoyarsk, 660036, Russia;
Keywords
NDVI; LST; Modis; crop phenology; growing season; remote sensing; Modis data; NDVI; LST
Abstract

To date, many methods have been developed for assessing the state and phenological development of crops using time series of satellite data. Most of them are effective when used ground field measurements. The article presents a new method for determining of the beginning and the end dates of the crops vegetation period. This method is based on a complex analysis of reflective – Normalized Difference Vegetation Index (NDVI) and radiative – Land Surface Temperature (LST) characteristics of vegetation. The features of agrophytocenoses phase portraits in the twodimensional space LST and NDVI are studied. An analysis of the phenological variability of agrophytocenoses during the vegetation periods of 2006, 2016-2017 in the south of the Krasnoyarsk Territory and the Republic of Khakassia has been performed. The distinctive features of phase portraits in space (LST, NDVI) of agrophytocenosis from other vegetation species are revealed. The possibility of determining the time and duration of the phenological states of agrophytocenosis, the features of the transition from one state to another, is shown

Pages
624-634
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/72113

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