High-Level Project Summary
We create a prototype of a technology that will save lives while also loweringthe worldwide economic catastrophe caused by landslides. landslides is now a burning issue and it happens every year, causing fatalities and untold damage, as well as disrupting the global economic system. Through our project we emphasis on Saving life is the most challenging part. That doesn't not mean that we are considering economic fact lightly. Rather we have made up effective mechanism for bringing out a revolutionary changes into saving life as well as reducing the impact on global economic system in future what we have mentioned in our outstanding project .
Link to Project "Demo"
Link to Final Project
Detailed Project Description
Introduction
Every year, many people die in landslides, which is so pathetic. Inspired by, we have created a project based on landslide, that will alleviate the damage of this disaster. Our project will not only alleviate the damages, but also it will be able to revolutionize in the future. The NASA Space Apps challenge gives us the opportunity to showcase our creativity by which we can save many lives and cost caused be the damage of landslide. We are presenting this project in a video with a short description.
Workflow
The main target of this project is to reduce the loss of lives, damage and cost caused by landslide as much as possible. At the same time, we can inform the authority before any landslide so that they can take necessary initiatives to prevent future landslides.
We think this project can be implemented very easily as it only needs some cheap but useful sensors, and a communication medium. We can easily make Rainfall detector and Soil Humidity sensor with a transistor and resistor only. These sensors will help us measure the probability of landslide in a specific area. From previous reports it is almost clear that, if medium or heavy rainfall occurs and the water flow in the soil increases at the same time, there is a huge chance of landslide. So these sensors are placed all over the area. They simultaneously measure the amount of rain and the water flow in the ground. All the data is sent to a local center, from where, with the power of AI and machine learning and previous records, the final probability of landslide in that zone is determined and sent to the ISP or Ministry of Disaster Control as a report.
here we have made a software tool to demonstrate how the system will work. As the administrator, we can see the whole map of the sensors and roadblocks that are placed in a specific area through a map. We can also see the conditions and real-time data measured by specific sensor. If we can convert those factor into a number, we can do anything with that. The system simultaneously measures the mean value of multiple rain sensor’s data and humidity sensor’s data. With the data from previous records, if that value reaches at a target level, the area is marked yellow as a risk zone. If the value crosses the limit value, the area is marked red as heavy risk zone and roads that crossed that area are instantly blocked for safety issues.
most important thing is that all the event log is sent to us or the control panel. We know if there is data, there is hope :). After some pre-processing, the system would be able to show a final probability of landslide in that area with high accuracy. This data will be sent to the ISP with a red coded message. As a result, we can inform the people of the area to leave the place or take necessary steps to prevent landslide long before.
Conclusion
As the NASA Space Apps Challenge is the greatest opportunity to express our idea in front of the world, we think this project can be successful with the help of it. Every year, a lot of people die due to this devastating disaster. Our project will be successful if the rate of death and damage due to landslide goes less than 1%. In the future, we will use weather forecast to predict any landslide, which will also help us to control landslide and save a lot of money and lives.
Space Agency Data
As the data source, we have used Global Landslide Catalog Export dataset from data.nasa.gov. The Global Landslide Catalog (GLC)was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impacts or location. The GLC considers all types of mass movements triggered by rainfall. We have used their previous dataset in the project as records in some specific areas. Those data were used to make the probability of landslide more accurate. The real-time data will also help to determine the probability of landslides in the future.
Hackathon Journey
Hi, I am Nazmul Hasan Shaon.The team leader of supercontinent Pangaea scpsc. My experience in space apps competition is Wonderful. Me and my whole team wants to thank The NASA Space Apps Challenge for giving us the opportunity to showcase our creativity for beating the challenge. Through this competition, I learn how to work friendly together, How to adapt to any environment, how to be patience in tough situation. Saving life is a noble character and every person should build up this character. This thing mostly inspired us for this challenge. The main goal of this initiative is to preserve bio variety, the global economic system, and human existence. Me and my whole team want to express the hackathon journey in a word and That is amazing.
References
The project was made mostly by our team, Supercontinent-Pangaea-SCPSC.
The software tool was made with Unity3D. All the source codes are written in C# by the team also and no external library used.
The resources in that tool, like vectors and other UI element were made by the team. The picture, named "index.jpg" and "index 1.jpg" were taken from Google Image Search.
To test this tool, we have selected a small region of Chittagong Hill District which was previously marked as risk zone of landslide.
To improve AI and accuracy, we have used the dataset of Global Landslide Catalog Export from data.nasa.gov.
Tags
#prototype #landslides #savethelife #InspiredForChanging
Global Judging
This project has been submitted for consideration during the Judging process.

