Výsledky vyhledávání - "L. V. Pidgorodetska"

Akademický článek

Implementation of linear regression and neural network models for local climate change assessment and forecasting based on time series data

Autor: Ya. I. Zyelyk, L. V. Pidgorodetska, S. V. Chornyy, L. M. Kolos, Yu. R. Dykach

Publikováno v: Вісник Астрономічної школи, Vol 16, Iss 2, Pp 48-57 (2020)

Climate change studies are based on the data processing of the following time series for number of Ukrainian cities: daily precipitation and air temperature from the site of the European Climate Assessment & Dataset (ECA&D) project and monthly carbon

Externí odkaz: https://doaj.org/article/455bc0a19e36460eb9acec2f4d55276e

Zobrazit plný text záznamu

Akademický článek

Estimation of the thermodynamic temperature field of the land surface using satellite data based on land cover classification

Autor: Ya. I. Zyelyk, L. V. Pidgorodetska, S. V. Chornyy

Publikováno v: Вісник Астрономічної школи, Vol 14, Iss 2, Pp 70-77 (2018)

The method for estimation of the thermodynamic temperature field of the land surface using satellite data of the long-wave infrared band based on the land cover classification in the optical wavelength range using machine learning methods has been ju

Externí odkaz: https://doaj.org/article/b237db3507e04dabb3bcacd81e66e555

Zobrazit plný text záznamu

Akademický článek

Methods of increasing the accuracy of classification of agrophytocenoses by satellite images

Autor: O. V. Semeniv, L. V. Pidgorodetska

Publikováno v: Вісник Астрономічної школи, Vol 14, Iss 1, Pp 30-34 (2018)

The article is devoted to the problem of the agrophytocenoses classification with satellite observation data and noise filtration methods. The model of agricultural crop types determination with multispectral data and the support vector machine metho

Externí odkaz: https://doaj.org/article/b88740c33f5a40fca0cef9685f4ef6e2

Zobrazit plný text záznamu

Akademický článek

Post-launch radiometric calibration of electro-optic sensors for Earth from space observation by differential method with the taking into account atmosphere transmittance coefficient

Autor: Ya. I. Zyelyk, S. V. Chornyy, L. V. Pidgorodetska

Publikováno v: Вісник Астрономічної школи, Vol 13, Iss 2, Pp 95-99 (2017)

The developed methodology of the post-launch radiometric calibration of the electro-optic sensors for Earth from space observation is considered. The novelty of this methodology consist in the implementation of the differential method for taking into

Externí odkaz: https://doaj.org/article/3f591176ef3744429d65f198a5a72825

Zobrazit plný text záznamu

Akademický článek

Detection of winter crops by satellite data on the basis of soil-adaptive perpendicular vegetation index

Autor: L. V. Pidgorodetska, Ya. I. Zyelyk

Publikováno v: Вісник Астрономічної школи, Vol 11, Iss 1, Pp 91-98 (2015)

The developed and implemented technique of winter crops detection on the basis of automatic classification of satellite raster imagery of the agricultural land in the perpendicular vegetation index PVI values according spectroradiometer MODIS MOD09 p

Externí odkaz: https://doaj.org/article/dfa4fe53bd1d42bf979a4c139f29c3ca

Zobrazit plný text záznamu

Surface soil moisture deficit assessment based on satellite data

Autor: L. M. Kolos, Ya. Zyelyk, L. V. Pidgorodetska, O. Fedorov

Publikováno v: Geoinformatics.

Summary The surface soil moisture deficit assessment method is proposed, which differs from the existing ones in that it is based not on the simplified model of the daily water balance according to meteorological data and empirical relationships, but

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b21822d93904e670e5801a48f620fa9
https://doi.org/10.3997/2214-4609.20215521114

Zobrazit plný text záznamu