High-Level Project Summary
This project investigates the capability of remote sensing to simulate land surface temperature (LST) on a large scale over different areas, by using NASA data, Kigali City for example. and provide the analyzed data to the responsible bodies for example in Rwanda such as, MINISTRY OF INFRASTRUCTURE, MINISTRY OF EMERGENCY MANAGEMENT , RWANDA SPACE AGENCY, MINISTRY OF DEFENSE, MINISTRY OF AGRICULTURE, …The project is going to use ENV I, the relevance of our project comes to s provide accurate information that can used to predict the disasters such as fire burning of forests, and other remote areas that are difficult to reach and provide warnings to prone areas.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
This project aims to solve the challenges that are associated with fire burning, 186000 square kilometers, summer in 2020 Australia and Flooding and Drought, $43 million per year are lost in Rwanda .
The project uses satellites data, and through mathematical modeling , the used software, in this case ENVI, analyzes them and give a pictorial information and graphical representation of temperature rise and fall in specific areas over a period of time. The information can then be shared to responsible bodies.
Benefits of our project include but not limited to provision of accurate and timely information, warning for the potential disasters and forecasted data so that responsible bodies can take mitigation and prevention measures.
Space Agency Data
- https://data.giss.nasa.gov/gistemp/
- https://www.giss.nasa.gov/projects/impacts/uccrn/
- Moderate Resolution Imaging Spectroradiometer (MODIS) LC08_L1TP_172061_20200810_20200821_01_T1.tar.gz
- The links above contains zipped data that are extracted and opened in ENVI where they are displayed in form of image.
- The image is refined
- Estimate spatial emissivity of ground surface in selected area
- Apply mathematical model to predict earth’s surface temperature
Therefore the predicted temperature can be shared to responsible bodies and in the future we will integrate both web and mobile applications as means of ease information transfer.
Hackathon Journey
The organizers have done an incredible work, especially in the team formation and provision of timely feedback to our concerns. As a team we have learnt that the solving community problems relies more on team work rather than individual work or brilliant.
NSHURU Space innovators, has been inspired by our desire to solve community problems by using our skills in Physics and Mechanical engineering, we are developing our solution by using mathematical modeling for satellite data analysis through ENVI.
The team has tried to overcome some of the challenges by asking questions to our mentors, organizers, and colleagues. Therefore, we would like the team of organizers for their endless supports.
References
- https://data.giss.nasa.gov/gistemp/
- https://earthobservatory.nasa.gov/images/13487/fires-in-rwandas-kagera-national-park
- https://www.giss.nasa.gov/projects/impacts/uccrn/
- Wang, L. (2012). Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model. March. https://doi.org/10.1117/1.JRS.6.063507
- ENVI Software
- https://storymaps.arcgis.com/stories/1f814d6184a141e2a03a7bd7707c14c5
- Ministry in Charge of Emergency Management report: National Contingency Plan for Fire Incidents March, 2019
- https://www.bbc.com/news/science-environment-57946155.amp
- https://reliefweb.int/report/rwanda/rwanda-floods-and-windstorm-final-report-mdrrw019
Tags
Science Application
Global Judging
This project has been submitted for consideration during the Judging process.