We evaluate the damages on coconut crops caused by Typhoon goni using Senitnel-2 imagery. Overall we estimated that 14.1 M coconut trees were affected by the typhoon inside our area of study.
We propose a new, active deep learning method to estimate oil palm density at scale of from Sentinel-2 satellite images, and apply it to generate complete maps for Malaysia and Indonesia.
We demonstrate the application of a machine learning technique called Generative Adversarial Networks (GAN) to learn models that can efficiently generate new, physically realistic realizations of the cosmic web