CHALLENGE : LIGHT THE PATH
Pilot Light helps in understanding population movement and it's relation with the COVID-19 pandemic. By integrating Machine learning with COVID-19 cases we can predict the increase and decrease in disease cases by directly comparing it with the current night time images. This project can be made more accessible by showing the data for more cities rather than the few cities we tried during these 48 hours (Prototype). This data can eventually be helpful for government in order to implement rules and preventing future outbreaks. Our project is just the start in order to become a website/application which can save many lives.
We saw an article (mentioned in the presentation) which compared the night time images of Wuhan, China before and after COVID-19. The difference in the images was shocking and really intriguing. This led us to take advantage of the night-time image datasets (or other data which is helpful in predicting human activities ie: CO emission) in order to provide an open source way to make that data accessible and readable for everyone. We used Javascript to make a website and Neustar for the domain. We used QGIS, ENVI for rendering the image (which were in HDF file format). To retrieve the light intensity from the images we used FIJI software. We used Google Collab for Machine Learning (incomplete). We faced a lot of problems in retrieving up to date night images. Google Earth engine had datasets only till January even though it was claimed to be up to date. This was true for many data we found and some data would not be available until early June. On the other hand, we were amazed to see how our pitch idea was correct when we saw the graph between light intensity of Night time images and COVID-19 cases (2 weeks ahead of the time of night light images in order to give type for developing symptoms). This was our biggest achievement, seeing everything coming together and giving the result what we expected.
Our project PILOT-LIGHT website : Detailed presentation
(Mentioned in the updates)
Demonstration By Our Team Pilot Light
https://blackmarble.gsfc.nasa.gov/
https://viirsland.gsfc.nasa.gov/Products/NASA/BlackMarble.html
https://iasi.aeris-data.fr/catalog/
https://disc.gsfc.nasa.gov/datasets/OMNO2d_003/summary
https://developers.google.com/earth-engine/reducers_reduce_region
https://earthdata.nasa.gov/earth-observation-data/near-real-time/download-nrt-data/viirs-nrt
https://blackmarble.gsfc.nasa.gov/Tools.html
https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/VNP46A1/
https://nrt3.modaps.eosdis.nasa.gov/help/downloads
https://iasi-ft.eu/covid-19/china-air-pollution/
https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_MONTHLY_V1_VCMSLCFG
https://nrt4.modaps.eosdis.nasa.gov/archive/allData/5200/VJ103DNB_NRT/
https://data.nasa.gov/browse?q=night+light+images
https://earthobservatory.nasa.gov/images/146481/nighttime-images-capture-change-in-china
https://www.esa.int/Applications/Observing_the_Earth/Copernicus/Sentinel-5P