Matthew C. Hansen
Prof. Matthew Hansen 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. Prof. Hansen's work as an Associate Team Member of NASA's MODIS Land Science Team included the algorithmic development and product delivery of the MODIS Vegetation Continuous Field land cover layers. 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.
For a more in depth look at his reserach lab's projects, reserach focus and publications, visit the Global Land Analysis and Discovery lab here.
Dr. Hansen's Science paper is accessible from this webpage following the links below:
High-Resolution Global Maps of 21st-Century Forest Cover Change
M.C. Hansen, P.V. Potapov, R. Moore, M. Hancher, S.A. Turubanova, A. Tyukavina, D. Thau, S.V. Stehman, S.J. Goetz, T.R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C.O. Justice, and J. R. G. Townshend
Science 15 November 2013: 342 (6160), 850-853. [DOI:10.1126/science.1244693]
- Land cover
- MA Geography
- MS Civil Engineering
- Ph.D Geography
- BS Electrical Engineering
|Course Name||Course Title||Semester||Syllabus|
|GEOG417||Land Cover Characterization Using Multi-spectral, Multi-Temporal Remotely Sensed Data Sets||Spring 2015||Syllabus|
|GEOG422||Changing Geographies of Subsaharan Africa||Fall 2014||Syllabus|
|GEOG417||Land Cover Characterization Using Multi-spectral, Multi-Temporal Remotely Sensed Data Sets||Spring 2014|
|GEOG422||Changing Geographies of Subsaharan Africa||Fall 2013|
- Song, X.P., Potapov, P.V., Krylov, A., King, L., Di Bella, C.M., Hudson, A., Khan, A., Adusei, B., Stehman, S.V. and Hansen, M.C., 2017. National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and field survey. Remote Sensing of Environment, 190, pp.383-395.
- Hansen M.C., Potapov P.V., Moore R., Hancher M., Turubanova S.A., Tyukavina A., Thau D., Stehman S.V., Goetz S.J., Loveland T. R., Kommareddy A., Egorov A., Chini L., Justice C.O., Townshend J.R.G. (2013) High-Resolution Global Maps of 21st-Century ForestCover Change. Science 342(6160) pp. 850-853 DOI: 10.1126/science.1244693
- Tyukavina A., Stehman S.V., Potapov P.V., Turubanova S.A., Baccini A., Goetz S.J., Laporte N.T., Houghton R.A., Hansen M.C. (2013) National-scale estimation of gross forest aboveground carbon loss: a case study of the Democratic Republic of the Congo. Environmental Research Letters 8(2013) 044039 (14pp) DOI:10.1088/1748-9326/8/4/044039
- Townshend, J.R., J.G. Masek, C. Huang, E.F. Vermote, F. Gao, S. Channan, J.O. Sexton, M. Feng., R. Narasimhan, D.-H. Kim, K. Song, D. Song, X. Song, P. Noojipady, B. Tan, M.C. Hansen, M. Li, R. Wolfe. 2012. Global characterization and monitoring of forestcover using Landsat data: opportunities and challenges. International Journal of Digital Earth 5:373-397.
- Belinda Margono, PhD.Post-doctoral Reseracher
- Alexandra Tyukavina, Ph.DPost-doctoral Reseracher
Department of Geographical Sciences