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A QGIS plugin for BONDS project: integrating field data with geographical, remote sensing and health information
23rd Brazilian Symposium on GeoInformatics, GEOINFO 2022 ; : 156-167, 2022.
Article in English | Scopus | ID: covidwho-2323934
ABSTRACT
Open source Geographic Information System (GIS) have been fostering spatial data research such as Earth observation and environmental monitoring for more than 30 years. More recently, globally available geospatial information combined with web technologies are providing new environments and tools for data handling. Thus, binding the mapping and processing capabilities of traditional GIS to the accessibility and reliability of web-based data providers can bring new opportunities for research. In this paper, we built a QGIS plugin to explore the integration of different public data providers in Brazil along with field data produced by the BONDS project. The biOdiversity conservatioN with Development in Amazon wetlandS project (BONDS) proposes to develop biodiversity scenarios for the Amazonian floodplains aiming to support solutions to preserve biodiversity and ecosystem services. The use of web services enabled dynamic and fast access to several products ranging from remote sensing images, land use and land cover, territorial cartography, water quality, to COVID-19 health data, and more. © 2022 National Institute for Space Research, INPE. All rights reserved.
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Collection: Databases of international organizations Database: Scopus Type of study: Observational study / Prognostic study Language: English Journal: 23rd Brazilian Symposium on GeoInformatics, GEOINFO 2022 Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: Scopus Type of study: Observational study / Prognostic study Language: English Journal: 23rd Brazilian Symposium on GeoInformatics, GEOINFO 2022 Year: 2022 Document Type: Article