INES – National Institute of Science and Technology for Software Engineering

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  • HEALTHDRONES – Evaluating drones as a software platform for development of applications for monitoring epidemiological and crowd phenomena

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    Publicado em August 11th, 2014Projects

    The use of satellite data can be complemented by collected one by devices in flight (unmanned aerial vehicles called here “drones”). This provides a platform of data very close to reality and can be programmable by IOT (Internet Of Things) applications. These data can be used for monitoring environments at risk or under specific control (epidemiological or any crowd phenomena). This project will provide an overview of the software platforms available today for development of algorithms for unmanned aerial vehicles (UAVs) in autonomous flight to be used in IOT applications. We are primarily interested in their use for epidemiological monitoring of areas under risk, but these platforms can be used to monitor any kind of crowd event. In particular, in this project, images are captured and processed using NOAA and Meteosat 8 Satellites. They are operated by GOESERE-UFRPE (Laboratory of GIS and Remote Sensing of the Federal Rural University of Pernambuco) – http://www.dtr.ufrpe.br/geosere/ – and are used to compose the monitoring scenarios.  Images and other data are also captured and processed by the drones platforms and its sensors. This information will compound automatic surveillance scenarios of the phenomena.

    The development of a prototype for Schistosomiasis will provide an evaluation of the platforms used for this project. In this way, as the main outcome, this project will provide an overview of technologies available today, their ability to integrate with legacy systems and their programming capabilities. It is expected to evaluate at least five different air platforms and this project enables the acquisition of such platforms. The importance of this project for the industry takes on the aspect of evaluation of commercial platforms for UAVs to be a possible IDE for software applications in industry.

    This project is a coordinate action by researchers from GOESERE-UFRPE, CIN-UFPE, CESAR, LIKA, EPITRACK and ISI-TICs.

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  • DESERT-MAP – A plataform for desertification mapping by spectral images from satellites.

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    Publicado em August 5th, 2014Projects

    The use of satellite images in the study of desertification has increased in recent years. In Pernambuco, there is a station for capturing and processing images using Meteosat-8 and NOAA satellites operated by GEOSERE-UFRPE (Laboratory of GIS and Remote Sensing of the Federal Rural University of Pernambuco) http://www.dtr.ufrpe.br/geosere/. The primary products to be generated at the Station from NOAA are Thematic Maps like Normalized Difference Vegetation Index (NDVI), Sea Surface Temperature (SST) and Thematic Maps Earth Surface Temperature (LSTday and LSTnight). Such products are inputs to generate detailed information on desertification, climate changes and natural disaster monitoring for application in various fields of knowledge.

    This project aims to define a software platform to provide a continuous and integrable (as a service) service of navigable maps on the web for monitoring and risk assessment of desertification in the semiarid region of northeastern in Brazil. This will be done over the images produced by satellites of GEOSERE Station and based on mathematical-computational analysis. Such maps are composed by series images data taken by GEOSERE´s satellites. They will be analyzed and computed by mathematical models for inference in real-time and also as predictive scenarios of the risk of desertification in the semiarid region of northeastern Brazil.

    The importance for the industry is on assessing environmental impact parameters and predictive analysis of use of natural resources as inputs in their respective industry sectors.

    This project is a coordinate action by researchers from GOESERE-UFRPE, CIN-UFPE, CESAR and ISI-TICs.

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