The UI Phone Screen Images could be found on Google Drive:

https://drive.google.com/drive/u/0/folders/1iupGDG...

NASA WorldView - Layer: Normalized Difference Vegetation Index (NDVI)

Focusing on forest species and will have checks across to see whether it’s near forest.

Machine Learning Part of the NOW App:

1. Predict impact of planting more trees using CNN algorithm. The data point includes:

• Humidity

• https://worldwind.arc.nasa.gov/worldweather/

• Soil

• https://smap.jpl.nasa.gov/data/

• Vegetation

• https://earthdata.nasa.gov/earth-observation-data/near-real-time/hazards-and-disasters/vegetation

• Temperature

• https://climate.nasa.gov/vital-signs/global-temperature/

• Seasonality/Historical events (time series)

• https://earthdata.nasa.gov/earth-observation-data/near-real-time/hazards-and-disasters/fires

1. Identify the areas where trees needs to be planted from satellite images of the areas that include NDVI layer from NASA WorldView. Steps taken:

• Screenshots of 100 images from satellite
• Manually label 50 images
• Train the model using YOLO
• Test on the remaining 50 images

1. = Cost. Price is calculated based on the results from all the data collected and tree’s species. Using formula to calculate.

1 year tree saving CO2:

1 campaign per month - 30 trees

30*12 = 360 trees per year

48pounds * 360 = 261RM * 360 = 93960 per year

https://github.com/pamelachia/nasa-now

Gosh, so many people in the venue. We need to move out from the venue and now we are in Starbuck. Picking our idea, registration of team.