Awards & Nominations

CloudHack 4.0 has received the following awards and nominations. Way to go!

Global Nominee

DISDEP (Disaster Detection , Prevention and Monitoring)

High-Level Project Summary

DISDEP is a platform that allows showing the risk of landslides in the province of Córdoba based on certain indicators such as deforestation and the risk of fires obtained from sensors and satellite data. It also contains the possibility for the user to report that a landslide occurred at certain coordinates, adding a marker on the page.These data obtained would help to be able to predict and control these events, to avoid damages and accidents. In addition, the results presented in the form of percentages and with a colored traffic light, allow any interested person to understand the information and collaborate by generating reports.

Detailed Project Description

Landslides occur when large amounts of rock, soil, or debris (decomposed solid mass) run down a slope. Mud avalanches, also known as mudflows or mudslides, are a common type of high-speed landslide that tends to move in channels.

Landslides are caused by disturbances in the natural balance of a slope. They can occur during heavy rains or occur after droughts, earthquakes, or volcanic eruptions.

Córdoba is a province with a long history of landslides. Our solution seeks to establish the possibility of occurrence of these events in order to control them.

We implement a system to calculate the possibility of occurrence based on certain indicators:

  • Mining and mountain transformations
  • Terrain elevation
  • Heavy rains / Floods
  • Fires
  • Deforestation
  • Earthquakes
  • Hurricanes and Typhoons
  • Volcanoes

Each of these events is assigned a weight and the possibility of a landslide is calculated.

The risk of fires, earthquakes, hurricanes and typhoons and floods is also calculated and displayed on the platform for information purposes. The volcanoes were omitted because Córdoba is not an area with volcanic activity.

The data is shown with 3 colors that indicate the probability of occurrence of these events. red, yellow and green.

In the map you can see the risks also with colors.

Finally, there is the possibility of reporting a landslide and that this report is displayed on the map.

Space Agency Data

Climatic, afforestation and geological data are obtained from the MODIS satellite. The Moderate Resolution Imaging Spectroradiometer Sensor, or MODIS, is located aboard the Terra and Aqua platforms, and provides a view of the Earth's surface every 1-2 days. The MODIS sensor collects data within 36 spectral bands, ranging in wavelengths from 0.4 µm to 14.4 µm and provides images with a nominal resolution of 250 m at nadir for two bands, a resolution of 500 m for 5 bands and the remaining 29 bands in 1 km

The seismological data are obtained from the historical record of each area. The use of sensors can also be implemented in the future.

In relation to fires, they can be monitored with the Sentinel-2 satellite.

Hackathon Journey

The members of the team live in a mountainous area, in which fires, heavy rains that cause the flooding of the river and landslides occur very often.

Therefore, our main motivation was to investigate these events and try to communicate all the data obtained in order to prevent risks.

We wanted that this data could be read by anyone and that in turn the users could collaborate with the collection of information by generating the reports.

References

MODIS https://modis.gsfc.nasa.gov/sci_team/

Atmosphere Discipline Team Imager Products https://atmosphere-imager.gsfc.nasa.gov/

Sentinels https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-1-sar/product-overview/interferometry

CDC https://www.cdc.gov/es/disasters/landslides.html

Tags

#landslides, #software, #Modis, #Sentinel

Global Judging

This project has been submitted for consideration during the Judging process.