Matthew C. Hansen

TL;DR: Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally, and boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms.

TL;DR: In this paper, a 1km spatial resolution land cover classification using data for 1992-1993 from the Advanced Very High Resolution Radiometer (AVHRR) is presented. But the approach taken involved a hierarchy of pair-wise class trees where a logic based on vegetation form was applied until all classes were depicted.

TL;DR: In this article, satellite-based estimates of forest loss suggest that urban population growth and urban and international demand for agricultural products are key drivers of tropical deforestation in the tropics and that efforts need to focus on reducing deforestation for industrial-scale, export-oriented agricultural production, concomitant with efforts to increase yields in non-forested lands to satisfy demands for agricultural product.

TL;DR: Using satellite imagery, a forest loss classification model is developed to determine a spatial attribution of forest disturbance to the dominant drivers of land cover and land use change over the period 2001 to 2015 and indicates that 27% of global forest loss can be attributed to deforestation through permanent land use changes for commodity production.

TL;DR: Satellite data for the period 1982–2016 reveal changes in land use and land cover at global and regional scales that reflect patterns of land change indicative of a human-dominated Earth system.