Monitoring of agricultural vegetation development based on time series analysis of satellite data

Marina G. Erunova; Oleg E. Yakubailik

doi:10.1117/12.2575663

12 November 2020 Monitoring of agricultural vegetation development based on time series analysis of satellite data

Proceedings Volume 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics; 1156054 (2020) https://doi.org/10.1117/12.2575663
Event: 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 2020, Moscow, Russian Federation

Abstract

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.

Citation Download Citation

Marina G. Erunova and Oleg E. Yakubailik "Monitoring of agricultural vegetation development based on time series analysis of satellite data", Proc. SPIE 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 1156054 (12 November 2020); https://doi.org/10.1117/12.2575663

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KEYWORDS

Agriculture

Vegetation

Satellites

Geographic information systems

MODIS

Data modeling

Remote sensing

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