Open AccessSoftware to compare images of the vegetation index obtained by satellite devices and unmanned aircraft
Author(s) -
Mikhail Yu. Kataev,
Maxim Krylov,
Pavel P. Geiko
Publication year - 2020
Publication title -
doklady tomskogo gosudarstvennogo universiteta sistem upravleniâ i radioèlektroniki
Language(s) - English
Resource type - Journals
ISSN - 1818-0442
DOI - 10.21293/1818-0442-2020-23-4-63-70
Subject(s) - computer science , software , a priori and a posteriori , spatial analysis , satellite , multispectral image , geographic information system , data processing , information system , visualization , software architecture , data mining , real time computing , remote sensing , geography , artificial intelligence , database , engineering , philosophy , epistemology , aerospace engineering , programming language , electrical engineering
At present, the practice of supporting many types of human activities requires the use of the spatial data infrastructure. Such an infrastructure integrates spatio-temporal sets from many sources of information within itself, providing the user with various types of processing, analysis and visualization methods. This article describes the architecture of the software system and the processes for managing sets of spatio-temporal data to solve agricultural problems. Measurement data using multispectral satellite systems, unmanned aerial vehicles (UAVs), as well as a priori information (meteorology, agrochemical information, etc.) are taken as input information. The User of the Software System is provided with the opportunity to control the spatial information of the territory of agricultural fields, sets of temporal data from various spatial data. An important achievement of the work is the combination of the results of satellite and UAV images according to the controlled parameters, that makes possible to expand the area of use of UAVs and verify them. The results of real data processing are presented.