My primary research interest is assessing and monitoring forest extent, structure, and composition on national to global extent using open satellite data archives.
Xiaopeng’s research focuses on characterizing land cover and land use change such as deforestation, cropland expansion and urbanization and investigating the causes and consequences of LCLUC using an interdisciplinary approach.
Alexandra’s research interests include satellite-based mapping of forest cover change and its drivers, and methods of sample-based accuracy assessment and area estimation.
Dr. Khan has over 35 year experience as Remote Sensing Scientist, Conservation Biologist, Development practitioner, Wildlife Biologist, and Wetlands Conservationist.
Anna is focused on remote sensing for vegetation dynamics mapping and understanding the large-scale drivers of vegetation change to support biodiversity conservation.
In a comprehensive way, I am interested in researching the drivers of LULC in Amazon Basin as well as their relations of cause and effect in this process.
Diana is interested in using remote sensing and qualitative research methods to understand land use change and deforestation drivers in Southeast Asia.
Andrés is interested in using Deep learning and Lidar data for ecological, soundscape, biodiversity and land cover/land use change monitoring applications.
Use multisource satellite remotely sensed imagery for land-use and land-cover characterization especially field crops (soybean, corn, and wheat) at national scale.
His work focuses on studying the human settlement characterization and population distribution, providing technical support to OSFAC on FACET methodology for forest cover monitoring.
Eddy Bongwele is remote sensing specialist with focus on integrating time-series multi-spectral Landsat and Lidar data for mapping forest structure (tree height and cover) and disturbances in Central Africa.
André's work focuses on mapping the cropland in the Central African savannas, and on monitoring the forest resources of the Congo Basin using time-series multi-spectral Landsat data.
Haijun is interested in large-scale land cover and land use change mapping, especially in agriculture using remote sensing and high-performance computing.
Shi Jun is interested in using optical and radar satellite data to map large-scale land cover and land use change, in particular for agriculture and deforestation.