Matthew C. Hansen
Affiliations: | 2002 | University of Maryland, College Park, College Park, MD |
Google:
"Matthew Hansen"Parents
Sign in to add mentorJohn R. G. Townshend | grad student | 2002 | University of Maryland | |
(Improvements in global land cover mapping using remotely sensed data sets.) |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Pendrill F, Gardner TA, Meyfroidt P, et al. (2022) Disentangling the numbers behind agriculture-driven tropical deforestation. Science (New York, N.Y.). 377: eabm9267 |
Potapov P, Turubanova S, Hansen MC, et al. (2021) Global maps of cropland extent and change show accelerated cropland expansion in the twenty-first century. Nature Food. 3: 19-28 |
Song XP, Hansen MC, Potapov P, et al. (2021) Massive soybean expansion in South America since 2000 and implications for conservation. Nature Sustainability. 2021 |
Zalles V, Hansen MC, Potapov PV, et al. (2021) Rapid expansion of human impact on natural land in South America since 1985. Science Advances. 7 |
Pickering J, Tyukavina A, Khan A, et al. (2021) Using Multi-Resolution Satellite Data to Quantify Land Dynamics: Applications of PlanetScope Imagery for Cropland and Tree-Cover Loss Area Estimation Remote Sensing. 13: 2191 |
Harris NL, Gibbs DA, Baccini A, et al. (2021) Global maps of twenty-first century forest carbon fluxes Nature Climate Change. 11: 234-240 |
Potapov P, Li X, Hernandez-Serna A, et al. (2021) Mapping global forest canopy height through integration of GEDI and Landsat data Remote Sensing of Environment. 253: 112165 |
Hansen AJ, Burns P, Ervin J, et al. (2020) A policy-driven framework for conserving the best of Earth's remaining moist tropical forests. Nature Ecology & Evolution |
Hansen MC, Wang L, Song XP, et al. (2020) The fate of tropical forest fragments. Science Advances. 6: eaax8574 |
Galiatsatos N, Donoghue DN, Watt P, et al. (2020) An Assessment of Global Forest Change Datasets for National Forest Monitoring and Reporting Remote Sensing. 12: 1790 |