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Personal profile

Personal profile

Mengmeng Li received the M.Sc. degree in cartography and geography information system from the Fuzhou University, Fuzhou, China, in 2012, and the Ph.D. degree on his dissertation “Urban land use extraction from very high resolution remote sensing images” from the Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands, in April 2017. He was an exchange Ph.D. student in the Department of Geography and Environmental Sustainability at the University of Oklahoma, Norman, OK, USA, in 2016.
He is currently a Researcher in the Department of Earth Observation Science, ITC. His research interests include urban land use and land cover extraction from remote sensing images and uncertainty handling for remote sensing image analysis.

Fingerprint Dive into the research topics where Mengmeng Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 18 Similar Profiles
vegetable Earth & Environmental Sciences
synthetic aperture radar Earth & Environmental Sciences
polarization Earth & Environmental Sciences
stereo image Earth & Environmental Sciences
segmentation Earth & Environmental Sciences
time series Earth & Environmental Sciences
Vegetables Engineering & Materials Science
land cover Earth & Environmental Sciences

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Research Output 2015 2019

Identifying rice stress on a regional scale from multi-temporal satellite images using a Bayesian method

Liu, M., Wang, T., Skidmore, A. K., Liu, X. & Li, M., 1 Apr 2019, In : Environmental Pollution. 247, April, p. 488-498 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Bayes Theorem
Heavy Metals
Heavy metals
2 Downloads (Pure)
Time series
synthetic aperture radar

Potential of multi-temporal Sentinel-1A Dual polarization SAR images for vegetable classification in Indonesia

Li, M. & Bijker, W., 2018, IGARSS 2018 : IEEE International Geoscience and Remote Sensing Symposium : Observing, Understanding and Forecasting the Dynamics of Our Planet. IEEE Catalog Number: CFP18IGA-ART ed. IEEE, p. 3828-3831 4 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

synthetic aperture radar
time series
4 Citations (Scopus)

Incorporating Open Source Data for Bayesian Classification of Urban Land Use From VHR Stereo Images

Li, M., De Beurs, K. M., Stein, A. & Bijker, W., 1 Nov 2017, In : IEEE Journal of selected topics in applied earth observations and remote sensing. 10, 11, p. 4930-4943

Research output: Contribution to journalArticleAcademicpeer-review

stereo image
Land use
land use
land cover
Open Access