Abstract: 

From the last few decades the carbon footprint in our environment has increased exponentially due to increased deforestation and the use of trees as biofuel. So, there is a need for forest canopy estimation in order to estimate how much reforestation is needed to cope with the increasing carbon emissions.

The above-mentioned issue can be addressed using an unsupervised learning approach where canopy can be segmented from images. Several indices have been derived using multi-spectral imagery in order to solve this problem. However, there is a low-cost cost approach that works well for simple RGB images in cases where multi-spectral imagery is not available.

Zoom Link: https://zoom.us/j/95078769118?pwd=dHBxbFJOY0YzdUsva1Q5UndTZUVMdz09

Meeting ID: 950 7876 9118

Passcode: yLK4LF