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System for automated environmental monitoring using remote sensing data of the Earth from open data sources

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Заглавие System for automated environmental monitoring using remote sensing data of the Earth from open data sources
 
Автор Maslov, Konstantin
Tokareva, Olga Sergeevna
 
Тематика remote sensing
Siberian pine forests
land-cover change
automation
geographic information system
environmental monitoring
NDVI
NDWI
дистанционное зондирование
сосновые леса
Сибирь
почвенный покров
автоматизация
геоинформационные системы
мониторинг
окружающая среда
 
Описание Environmental monitoring using remote sensing data requires an analyst to perform a large amount of routine work related to downloading, processing and analyzing data, especially in cases when the study area is covered with a large number of satellite imagery. The paper presents the results of the design and software implementation of the system that automates downloading and processing of remotely sensed data according to developed scenarios and, thus, greatly simplifies the processing of satellite imagery. It provides the description of tools for accessing data from the archive of the United States Geological Survey (USGS) and describes the data flow in the system. The paper gives an analysis of results obtained using the developed system on the example of monitoring the state of Siberian pine forests of the Tomsk region.
 
Дата 2020-01-23T09:13:04Z
2020-01-23T09:13:04Z
2019
 
Тип Conference Paper
Published version (info:eu-repo/semantics/publishedVersion)
Conference paper (info:eu-repo/semantics/conferencePaper)
 
Идентификатор Maslov K. System for automated environmental monitoring using remote sensing data of the Earth from open data sources / K. Maslov, O. S. Tokareva // 14th International Forum on Strategic Technology (IFOST-2019), October 14-17, 2019, Tomsk, Russia : [proceedings]. — Tomsk : TPU Publishing House, 2019. — [С. 294-297].
http://earchive.tpu.ru/handle/11683/57469
 
Язык en
 
Связанные ресурсы 14th International Forum on Strategic Technology (IFOST-2019), October 14-17, 2019, Tomsk, Russia : [proceedings]. — Tomsk, 2019.
 
Права Open access (info:eu-repo/semantics/openAccess)