Инд. авторы:	Chubarov D.L., Dobretsov N.N., Kikhtenko V.A.
Заглавие:	Mapping net CDF data to relational model to enable analytic processing of large collections of remote sensing data
Библ. ссылка:	Chubarov D.L., Dobretsov N.N., Kikhtenko V.A. Mapping net CDF data to relational model to enable analytic processing of large collections of remote sensing data // CEUR Workshop Proceedings. - 2017. - Vol.2033. - P.324-328. - ISSN 1613-0073.
Внешние системы:	РИНЦ: 35530851; SCOPUS: 2-s2.0-85040229166;
Реферат:	eng: We present a relational schema for the data and metadata contained in MODIS products represented as a collection of HDF files. Commonly used approach formalized in the NetCDF model is based on storing the data and metadata of one scene in a single file. However to develop tools that support research that requires the analysis of time series of remote sensing data new data models may be needed. One promising approach is based on the indexing and addressing the data at the level of individual pixels. The relational schema presented in this paper is intended towards the representation of the metadata present in NetCDF model during the transition towards indexing of individual pixels.
Ключевые слова:	Metadata; Remote sensing; Data handling; Remote sensing data; Relational schemas; Relational Model; Data and metadata; Time series analysis; Time series; Remote sensing; Pixels; Monitoring; Metadata; Indexing (of information); Database systems; Time series; Databases; Research software;
Издано:	2017
Физ. характеристика:	с.324-328
Конференция:	Название: XIV Всероссийская научная конференция «Электронные библиотеки: перспективные методы и технологии, электронные коллекции» Аббревиатура: RCDL`2012 Город: Переславль-Залесский Страна: Россия Даты проведения: 2012-10-15 - 2012-10-18 Ссылка: http://rcdl2012.pereslavl.ru