Agricultural vegetation phenology monitoring by Modis data time series analysis
Автор: Botvich Irina Yu., Shevyrnogov Anatoly P.
Журнал: Журнал Сибирского федерального университета. Серия: Техника и технологии @technologies-sfu
Статья в выпуске: 6 т.11, 2018 года.
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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 two-dimensional 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.
Crop phenology, growing season, remote sensing, modis data, ndvi, lst, modis
Короткий адрес: https://sciup.org/146279379
IDR: 146279379 | DOI: 10.17516/1999-494X-0080