The University of Maryland Global Forest Change layer displays 30m data showing gross forest loss for each year from 2001 to 2023, derived from Landsat imagery. Areas where forest has transitioned to non-forest during a given year are displayed in red on the map. Forest loss could be a result of natural or human-induced causes. This dataset makes it possible to assess the timing and annual extent of forest loss over the last two decades, which can support site assessments and baselining. Data and methodology were originally published by Hansen et. al and this work is a collaboration between the Global Land Analysis & Discovery Lab at the University of Maryland, Google, USGS, and NASA.