  In this paper, we present a deforestation estimation method based on
attention guided UNet architecture using Electro-Optical (EO) and Synthetic
Aperture Radar (SAR) satellite imagery. For optical images, Landsat-8 and for
SAR imagery, Sentinel-1 data have been used to train and validate the proposed
model. Due to the unavailability of temporally and spatially collocated data,
individual model has been trained for each sensor. During training time
Landsat-8 model achieved training and validation pixel accuracy of 93.45% and
Sentinel-2 model achieved 83.87% pixel accuracy. During the test set
evaluation, the model achieved pixel accuracy of 84.70% with F1-Score of 0.79
and IoU of 0.69.
