Awards & Nominations
PINDORAMA has received the following awards and nominations. Way to go!
PINDORAMA has received the following awards and nominations. Way to go!
Lapsus - Ibiry is an association of the Ibiry device, which will capture information about soil and air moisture - in addition to the terrain slope, soil type, and tremors - and the application linked to a database, Lapsus, which will use information acquired through the community itself, calculate the risk and advise the local government and users of the dangers of landslides.The association calculates in advance and accurately the danger of earthfall, seeking to mitigate the social losses and consequences caused by this disaster, by warning of the need to evacuate the region.
Lapsus is a mobile app that will store information obtained from the community - through questionnaires and challenges - and from Ibiry in a database and link it to previous studies such as NASA's Future of Earth, the Normalized Difference Vegetation Index(NDVI), and the Geographic Information System. From this connection, the application will calculate the probability of landslide in the region of each registered user. All this will take place through a “Machine Learning”, where the information captured by Ibiry will be studied by Lapsus, comparing the current data with previous data (from previous landslides), thus enabling the estimative calculations of a new landslide. After the calculation, it will inform the city and users about the imminent risks. In addition, Lapsus would also provide its users with news about the region, such as past landslides, the current climate, and the status of local vegetation. Another significant point is the articulation with local authorities, such as firefighters, who, through the data obtained by Ibiry, can alert the population through the Lapsus alert tool
Ibiry is a mini portable terrestrial-monitoring station. It is 1.37 meters long, and 60 cm of them is buried underground, so it can fix itself in addition to taking soil measurements. Ibiry contains a series of sensors (such as barometers, inclinometers, accelerometers, soil moisture sensors, thermometers, among others) that served to collect more accurate information from certain areas, sending them to a central network where the data will be interpreted and sent to the operator Ibiry (person or body in his possession). Furthermore, as it is a relatively inexpensive device, it can be used on a large scale, so that the operator could have real-time monitoring with great data accuracy. Combining this with the App, the Lapsus-Ibiry project can augment and obtain accurate data related to landslides, allowing for optimal prevention.
The global Landslide Hazard Assessment for Situational Awareness (LHASA) model present in Nasa Earth Future contributed to the project development by allowing the visualization of the areas most affected by landslides due to heavy, persistent, and recent precipitation.
“Precipitation estimates are provided by a multi-satellite product developed by NASA using the Japan Aerospace Exploration Agency (GPM) Global Precipitation Measurement (GPM) mission, which provides worldwide precipitation estimates every 30 minutes. The model considers when GPM data exceeds a critical rainfall threshold, looking at the last seven days.”
It was a challenging experience that inspired team members to think “outside the box”. Hackathon taught us to organize ideas and think strategically and practically. In addition, the chosen challenge allowed us to associate various areas of knowledge such as geography, physics, design, mathematics, English, and biology.
The setbacks were resolved with the exploration of creativity and the ability to restart the project over and over again.
We would like to thank the entire Space Apps Salvador team for allowing us to go through the incredible experience and, especially, the mentor Felipe Messias for having given us confidence and courage throughout the mentoring, in addition to practically solving most of the doubts.
NEW NASA Model Finds Landslides Threats in Near Real-Time During Heavy Rains. NASA. Available in <https://www.nasa.gov/feature/goddard/2018/new-from-nasa-tracking-landslide-hazards-new-nasa-model-finds-landslide-threats-in-near-real>. Access in: Oct 2021.
O MANUAL de Deslizamento - Um Guia para a Compreensão de Deslizamento. UGS. Available in: <https://www.gfdrr.org/sites/default/files/publication/Deslizamentos_M5DS_0.pdf>. Access in: Oct 2021.
OS OBJETIVOS de Desenvolvimento Sustentável no Brasil. ONU Brasil. Available in: <https://brasil.un.org/pt-br/sdgs>. Access in: Oct 2021.
ALERTA de Deslizamento de Terra Utilizando Sistema de Informação Geográfica. Mackenzie. Available in: <https://www.mackenzie.br/fileadmin/ARQUIVOS/Public/1-mackenzie/universidade/laboratorios/labgeo/2018/Ajustes/OAS_2013_Alerta_de_deslizamento_de_terra_usando_SIG.pdf>. Access in: Oct 2021.
MODELING and Reporting Landslides. NASA. Available in: <https://gpm.nasa.gov/applications/landslides#modelingandreportinglandslides>. Access in: Oct 2021.
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This project has been submitted for consideration during the Judging process.
Landslides often interfere with the economic development of rural communities. Your challenge is to develop a tool that uses data from NASA satellites and ground-based sources to determine the risk of landslides in rural communities and share the results with local communities and governments.

