TopRock

Ankara | Identifying risk with science + communities

Touch The Landslides

High-Level Project Summary

Aware of the negative impacts of landslides in rural communities, we aim to inform people in advance about a possible danger. Combining the parameters (slope, soil type, precipitation regime, earthquakes) using the data from sources like NASA satellite images (to calculate the slope and elevation of the region), the Soil Map of The World, NDVI, and the Global Earthquake Model Foundation, our algorithm-based application will create a detailed landslide risk map and compare the data with historical data to predict a landslide. To enrich the utilization of our application, we created an interface that will incorporate data capture by the community and local governments and take their feedback.

Link to Project "Demo"

https://prezi.com/view/r2MYBfm2MweFSzYIRdJz/

Link to Final Project

https://marvelapp.com/prototype/2bf1d326

Detailed Project Description

Landslides are very frequent and very common type of mass movements on the earth. They play an important role in abrasion. Large landslides also leave deep traces in the topography. Every year, as a result of landslides, many people and animals lose their lives and cause material damage to settlements. For these reasons, the awareness of the dangers caused by landslides in our country and the importance given to the concept of risk management are increasing rapidly. Knowing the landslide in advance or being predictable will minimize the loss of lives and property. Based on this, we developed a project. We chose the Eastern Black Sea Region, which receives the most precipitation throughout Turkey and has the most landslide cases, to try our project primarily in a local place. In the library of our application, there will be parameters such as precipitation amount, NVDI, fault line etc. that can give us an idea about the landslide risk. We will teach the map images of the same region to an artificial intelligence, including "Before the Landslide", "During the Landslide" and "After the Landslide". Artificial intelligence will continue to learn with the data at its disposal and simulate the possible types of landslides in the region. This data will serve as open source accessible via the mobile application and website.

People who visit these platforms will be able to see detailed data such as precipitation status, fault line, why the area they are in is dangerous for landslides by clicking on the interface and will be able to access records of landslides that have occurred in the past. In case of a possible emergency, our application will be able to easily direct you to the relevant non-governmental organizations and the local government. Also, people will be able to get involved in the platform and provide input. For example, in Kastamonu, a citizen sees a suspicious place and notices that it is gradually sliding down. They will be able to notify system about there might be a shift here and feel that they have fulfilled their duty as a citizen by using the application. If the project can be successful in local areas all the data will be given to artificial intelligence and it will calculate the associated landslide risks. As a result, there is a bright future ahead of our application, where many people's lives and property are saved, and those who are interested can access information about landslides easily.

Space Agency Data

As might be expected, one of the first things we noticed was whether the idea we were considering had a similar one before. We specially looked into NASA's Modeling Effort and Collect Landslides and Advance were NASA Science. We made the feedback part of the application inspired by the Cooperative Open Online Landslide Repository (COOLR) project, and the map part was inspired by the Landslide Susceptibility Map.

Hackathon Journey

We believe we had a great time while working on our project. We just wanted to summarize it with our sentence.

As we mentioned in the demo, the natural disasters we see around us and their consequences pushed us to choose this topic. We suddenly found ourselves in a subject that none of us had expertise in. Every step we took for this project was with new information we have learned and this made me feel much more satisfied when we finished the project.

Görkem

The competition showed us what a great thing it is to work together and create something from scratch.

Koray

Hackathlon was pretty cool. For two days we have done a beautiful project together as different disciplines in a field that we have not mastered much ourselves. I like my teammates. I wish you wouldn't disconnect us. Thanks to the mentors and everyone who organized the event.

Emre

I have met many beautiful people, I have been a partner in their ideas. I am very happy to have experienced it. I would also like to thank my teammates very much for this beautiful project.