Библиографическое описание:Monitoring of agricultural vegetation development based on time series analysis of satellite data : доклад, тезисы доклада / M. G. Erunova, O. E. Yakubailik. - [S. l. : s. n.], 2020. - Текст : непосредственный // Proceedings of SPIE - The International Society for Optical Engineering : 26 / 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics 2020 (2020 ; 06.07 - 10.07 ; Moscow) : SPIE, 2020. - 11560. - P. 1156054. - DOI 10.1117/12.2575663.
Аннотация:Methods for analyzing the dynamics of the NDVI vegetation index using satellite data of Terra MODIS and Planet Scope of various spatial resolutions are considered. The combination of geospatial modeling methods and remote sensing data processing technologies allows us to identify the features and patterns of spatiotemporal development of crops. The studies were carried out on the example of the experimental agricultural enterprise "Minino" of the Krasnoyarsk Scientific Center of the SB RAS. The data on selected crops: wheat, barley. A digital model was developed that contains up-to-date information on agricultural fields, varieties, crops, soil, particle size distribution, parent rocks and terrain conditions. All this data is necessary for joint analysis with satellite images.
