We have developed a python image processing program that captures the colour intensity, the space dimension of the green canopy and blue shore line. The variation in the colour and dimension can be correlated to connect with the causes of depletion. This is again evaluated over a period of time to determine the rate at which the depletion is happening and give an alarm to all concerned authorities for rightful action.
Sundarban forest in India is the most beautiful Green life with the most amazing biodiversity, our approach to develop the project is to PROTECT the lush green mangroves that stand strong protecting our Blue Carbon Ecosystem. Mumbai has a huge coastal line and is lined by Mangroves, But this busy city uses this shore line to dump building and infrastructural work debris in the mangroves area as there is less policing. We use python coding language and python IDLE as the software to make this project. We faced challenges with colour intensity, differential resolution and most importantly managing the processing power of our computer while running high end applications.
We used different websites of NASA to collect the images of mangroves and NASA EARTH to collect images at different angles and it influenced our work at a greater extent.
https://visibleearth.nasa.gov/images/91333/monitoring-mumbais-mangroves/91336w
https://visibleearth.nasa.gov/images/7028/sundarbans-bangladesh