Remote Sensing

Mapping Oil Palm Density at Country Scale: an Active Learning Approach

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.

Counting the uncountable: deep semantic density estimation from space

We propose a new method to count objects of specific categories, including oil palm trees, olive trees and cars. All of these objects are significantly smaller than the ground sampling distance of a satellite image.