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

Dades bibliogràfiques
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 1019 : 14th International Forum on Strategic Technology (IFOST 2019).— 2021.— [012100, 7 p.]
Autor principal: Maslov K. A.
Autor corporatiu: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение информационных технологий
Altres autors: Tokareva O. S. Olga Sergeevna
Sumari:Title screen
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.
Idioma:anglès
Publicat: 2021
Matèries:
Accés en línia:http://earchive.tpu.ru/handle/11683/64588
https://doi.org/10.1088/1757-899X/1019/1/012100
Format: Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663612
Descripció
Sumari:Title screen
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.
DOI:10.1088/1757-899X/1019/1/012100