SDG 11
Our, the sustainableSeers', goal is to anaylze the impact COVID-19 has made on our society by looking at the progress of the UN's Sustainable Developement Goals. In particular, our team is focused on SDG 11: Sustainable Cities and Communities.
- a list of dates can be found on our website
- images of night radience were provided by NOAA (NCIE) VIIRS DNB Nighttime Imagery
- images were scraped via the provided REST API powered by ArcGIS
| City | Initial Illumination (% area) | Final Illumination (% area) | Delta |
|---|---|---|---|
| New York | 11.280 | 10.380 | -0.900 |
| Atlanta | 8.266 | 7.895 | -0.372 |
| Delhi | 11.190 | 8.141 | -3.049 |
| Seoul | 12.620 | 12.350 | -0.527 |
| Lombardy | 16.040 | 16.530 | +0.490 |
Standard Deviation of Delta: 1.0063563186069
In general, the amount of illumination in cities bearing the brunt of the COVID-19 pandemic decreased. Our team believes this is due to the policies implemented by governments for quarantine. A lockdown induces a decrease in the number of people who go outside for shopping, vacations, and/or work.
$ python analyzeNightLight.py [file1] [file2] ...
#example
$ python analyzeNightLight.py febNy.png
febNy.png has 11.280% illuminated
Above is the preprocessed image of Wuhan, China on January 19, 2020. Using OpenCV, the image is processed to remove noise and isolate the significant areas of brightness. OpenCV is content aware and can thus outline the most prominent light pixels. Then, PIL is used to iterate through each pixel to find the percentage of luminescence in the image.
