A tool for analysis of the influence of the Earth surface soil layer temperature on the inhomogeneity of grain crops development by the Earth remote sensing data | Научно-инновационный портал СФУ

A tool for analysis of the influence of the Earth surface soil layer temperature on the inhomogeneity of grain crops development by the Earth remote sensing data

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: All-Russian Conference with International Participation "Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes", SDM 2021

Год издания: 2021

Ключевые слова: agricultural crops, dynamic model of spatial object, earth remote sensing, earth surface temperature, inhomogeneity, inhomogeneity structure of spatial object, spatial object monitoring

Аннотация: The work is devoted to the analysis of the influence of the earth surface temperature on the inhomogeneity of the agricultural crops development. The aim of the work is to expand the object-relational model for describing the inhomogeneous spatial structure of a spatial object by including surface temperature as one of the key features that allow determining the cause of vegetation heterogeneity, along with relief features, differences in the soil chemical composition and other significant characteristics. Experimental studies are carried out at sites located in Sukhobuzimsky district of Krasnoyarsk Territory, for which agricultural crops (grains) and the their sowing dates are known a priori, which allows stating any facts of the vegetation development deviation from the normative trajectory with reference to the sequence and timing norms of phenological phase changing. Landsat-8 OLI (Operational Land Imager) TIRS (Thermal Infrared Sensor) data are used as initial data for temperature measurements. Objects of research are presented in the form of a polygon map in SHP format. The temperature values are calculated using the algorithm for estimating the earth temperature developed by Weng Q., Lu D. and Schubring J. The surface reflectance values are the NDVI vegetation index values also obtained from the Landsat-8 OLI data that underwent atmospheric correction by the DOS method. The research results are implemented in the form of a software module and integrated into the Earth remote monitoring (ERM) system of SFU Space and Information Technologies Institute (SITI). The results are used within the concept of object-oriented monitoring of spatial objects developed by the team of authors, and represent index images of the surface temperature of objects, as well as vector schematic maps. © 2021 Copyright for this paper by its authors.

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Издание

Журнал: CEUR Workshop Proceedings

Выпуск журнала: Vol. 3006

Номера страниц: 414-420

ISSN журнала: 16130073

Издатель: CEUR-WS

Персоны

  • Brezhnev R.V. (Institute of Space and Information Technology of Siberian Federal University, Krasnoyarsk, Russian Federation)
  • Maglinets Y.A. (Institute of Space and Information Technology of Siberian Federal University, Krasnoyarsk, Russian Federation)
  • Raevich K.V. (Institute of Space and Information Technology of Siberian Federal University, Krasnoyarsk, Russian Federation)
  • Margaryan V.G. (Yerevan State University, Yerevan, Armenia)

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