No abstract

This article is part of the special series "Environmental Monitoring on Global and Local Scales." The series documents cases of the current state of environmental assessment and tracking using different approaches: in situ monitoring, geoinformation modeling, and risk-based assessment. The work was originally presented at the conference "Ecological Monitoring: Methods and Approaches," held September 2021 in Krasnoyarsk, Russia, and co-organized with the European and Russian-Language Branches of Society of Environmental Toxicology and Chemistry.

The objective of the study is to assess the state of agricultural seeds (level of weediness) on the territory of the Krasnoyarsk Agricultural Research Institute of Federal Research Center «Krasnoyarsk Science Center of the SB RAS» near the village Minino according to satellite data. For this purpose, an algorithm for obtaining and processing PlaneScope satellite data for calculating the NDVI vegetation index of agricultural seeds has been developed. On its basis a map of the spatial distribution of NDVI wheat seeds with different levels of weediness has been created. According to PlanetScope satellite data, an opportunity to interpret areas of wheat seeds with high and low levels of weediness has been shown. It has been found that the NDVI value of pure plantation of wheat with a low level of weediness is greater than the NDVI value of wheat seeds with a high level of weediness

The experience of implementation of GIS and web technologies for regional agriculture of the Krasnoyarsk territory is considered. The experimental agricultural enterprise “Minino”, located near the city of Krasnoyarsk, was chosen as a pilot project. For this agricultural enterprise, the comprehensive digital model using geographic information systems, remote sensing and web mapping data processing techniques and software is created. A geospatial database, which contains relevant and archival information about agricultural fields, varieties, crops, soil, particle size distribution, soil-forming rocks, terrain features, has been developed. A series of technological digital maps and cartograms have been created in which information on crop rotations and cultivated crops is concentrated. Archives of available multispectral satellite data of high spatial resolution on the considered territory are analyzed. As a result, a multi-layer electronic map of the agricultural enterprise was created, which contains all available information and can be used for modeling and forecasting crop yields, agricultural planning. The developed methods and software and technological solutions can become a methodological basis for a new generation of information and analytical systems and technologies to support management decisions in the agricultural sector.