“Terra-i: an eye on habitat change” is a Machine-Learning based system developed in collaboration with the Centre for Tropical Agriculture (CIAT), King’s College London and Nature Conservancy. It tracks land cover changes at the pantropical level since 2016. It processes MODIS satellite images (NASA’s Terra and Aqua missions) every 8 days and generates alerts of new deforestation. These alerts are published both in the Terra-i2 (maintained by CIAT) and Global Forest Watch websites (http://terra-i.org and http://globalforestwatch.org). When launched during the UN Rio+20 conference, Terra-i was the first system for monitoring deforestation in South America in near real-time. Since then, Terra-i has been adopted by several governments, like Peru, to monitor protected areas, and has been widely used by researchers (Science, 2014, vol. 343, no 6170, p. 489-490) and conservationists.