ВИКОРИСТАННЯ ІНСТРУМЕНТІВ EOS DATA ANALYTICS ДЛЯ МОНІТОРИНГУ СІЛЬСЬКОГОСПОДАРСЬКИХ ЗЕМЕЛЬ

М.А.Федонюк, В.В.Федонюк

Abstract

The possibilities of using several online services by EOS Data Analytics for monitoring of soils and crops are considered. Features of the EOS LandViewer and EOS Crop Monitoring products are described. The main features and examples of the use of these tools in agriculture are outlined.
The algorithm of EOS Crop Monitoring is described. The main advantages (automatic classification of space images, current and archival weather data) and the disadvantages of this service (errors in the recognition of field contours, type of sowing, probable errors in meteorological data) are outlined.
The possibilities of LANDVIEWER for automatic and semi-automatic vegetation classification according to the vegetative indices NDVI, SAVI, ARVI GCI, etc. are considered. The possibility of their spatial analysis, clustering are indicated. The best available free-for-all for our region now is Sentinel-2 and Landsat-8 images, with an optical and infrared resolution of 10 to 60m.
Described is a tool for analyzing numeric rows for obtaining archival data of NDVI, NDWI, NDSI index values for any contoured area. The received output is presented in tabular and graphical formats, which allows creating an informative database for the field and conducting additional analytical operations. Examples of application of these services for monitoring on separate agricultural fields in the Volyn region are given.
Continuous land monitoring with LandViewer and EOS Crop Monitoring allows to quickly detect changes in crop conditions and take appropriate agrotechnical decisions.