Matthew Hansen is a Professor at the University of Maryland. He is a remote sensing scientist with a research specialization in large area land cover and land use change mapping. His research is focused on developing improved algorithms, data inputs and thematic outputs which enable the mapping of land cover change at regional, continental and global scales. Such maps enable better informed approaches to natural resource management, including deforestation and biodiversity monitoring and can also be used by other scientists as inputs to carbon, climate and hydrological modeling studies. His current research includes taking the global processing model for MODIS and applying it to the Landsat archive. Exhausting mining of the Landsat archive has been used to map forest disturbance in the Congo Basin, Indonesia, European Russia, Mexico, Quebec and the United States. The methods developed in these efforts will be used to test global-scale disturbance mapping with Landsat data. Other current research efforts focus on improving global cropland monitoring capabilities, for example global soybean cultivated area estimation using MODIS, Landsat and RapidEye data sets.