It is a use case that involves tracking and predicting the rate of deforestation due to various causes like human encroachment and devastating forest fires and the like, using satellite image data and applying image processing and deep learning techniques.

1. Tracking
Deforestation

2. Effect of
Deforestation
• Rise in global warming
• Disruption in ecological balance
• Unprecedented natural calamities

3. Deep Learning
and Satellite
Imaging
We are using satellite
images to figure out
over time how in a
region deforestation
occurred. We extracted
the deforestation area
using image segmentation
models.

4. Inside the
U-Net Model
• This takes an image and
returns another images.
• This is called conv and
deconvolution.
• In deep learning domain
it is called image
translation.
• Used in image
segmentation, image
enhancement.

5. U-Net Segmentation
to detect the
deforestation
• We can see how the
deforestation is
detected from the
satellite images in
the year of 2017 and
2018.
• This image is of a
single location only
and we can see that
forest cover
decreased from 17.94%
to 17.08%.

7. Thank you