CVPR MultiEarth 2023 Deforestation Estimation Challenge:SpaceVision4Amazon

07/10/2023
by   Sunita Arya, et al.
0

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 Sentinel-2 model achieved 83.87 evaluation, the model achieved pixel accuracy of 84.70 and IoU of 0.69.

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