High-Level Project Summary
Our project is “ IDENTIFYING RISK WITH SCIENCE+ COMMUNITES”.As our country , BANGLADESH is a developing country, it have faced various kinds of natural disasters every year such as cyclone, floods etc. So our landslides often interfere with the economic development of rural communities . Our 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 goverment.With this app, we can easily get information about these kinds of disasters earlier . By this , we can take proper steps to minimize the after disaster effects.
Link to Project "Demo"
Link to Final Project
Detailed Project Description



The App is worked with a tool that uses data from NASA satellites and ground based sources to determine the risk of landslides in rural communities and goverment.
Space Agency Data
Landslide Tracker resolves challenges listed below, and provides users and researchers an easy to use interface to visualize landslide data. All the functions listed below were implemented during Hackathon, and can be accessed at www.landslidetracker.com
-Track historical landslides (Retrieve details with just one click)
-Track potential (future) landslides (Daily Updates)
-Landslide Reporting (Simplified and Detailed Versions) with image upload capability
-Landslide Alerts (Smart Phones)
-Landslide Analytics
-Real-time Rainfall Data (3 hours, 24 Hours, 72 Hours, 168 Hours Accumulation)
All the above features can be used globally.
Next Steps: Landslide Tracker wants to collect and use crowd-sourced landslide data along with other topographical data, historical landslide data, and landslide triggers to develop pattern recognition and machine learning algorithm which can aid to better prediction of landslides. Landslide Tracker is aware of crowd-sourced data validation, and thus aims to develop good filtering system to validate data. The database is intended to help identify areas most at risk for landslides, potentially saving thousands of lives through Landslide Tracker platform. We also want to utilize social media integration to spread any warning or important information.
Impact: According to AGU, there have been 83,275 deaths due to landslides between September 2002 and 2010. With an easy access to information, visualization, predictions, education and outreach, we can significantly reduce the damage world is currently facing due to landslides.
About Team: Team "Landslide Hackers" are a cross country (US and Japan) collaborative team which took on a serious global challenge “Track a Landslide”, and successfully developed and implemented "Landslide Tracker" in a period of two days. Team composition is diverse and possess varieties of skills: Web Developers, Mobile Developers, Back-end Engineers, Designers, a Researcher along with access to advisers who have strong background in "Aerospace".
Hackathon Journey
With the Space Apps Challenge, NASA is able to inspire collaboration, creativity, and critical thinking; foster interest in Earth and space science and exploration; raise awareness of NASA data around the world; and encourage growth and diversity of the next generation of scientists, technologists, designers, engineers, and artists.
For 2021, the event theme is “The Power of Ten,” chosen by NASA because it celebrates the fact that this year is the 10th annual event, and reminds everyone that the next 10 years have much in store, both for NASA and for Space Apps. NASA Space Apps Challenge was a great learning opportunity, this event took me out of my comfort zone and I’ll always be thankful for that. I am interested to continue innovating in this field going in the future.
References
Data Source - http://pps.gsfc.nasa.gov/
Data Source - http://www2.jpl.nasa.gov/srtm/
Data Source - http://trmm.gsfc.nasa.gov/publications_dir/potential_landslide.html
Data Source - https://www.servirglobal.net/Global/MapsData/DataCatalog.aspx
A slide presentation: https://docs.google.com/presentation/d/1KffyBfg5dR597NoI1RRKEpxIGeP5Rpei/edit#slide=id.p1
Tags
#Science_Application

