Li, H., Song, X.-P., Hansen, M.C. et al. (2023). Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation. Remote Sensing of Environment, 294, p.113623.

Li, R., Wang, D., & Liang, S. (2023). Comparison between deep learning architectures for the 1 km, 10/15-min estimation of downward shortwave radiation from AHI and ABI. Remote Sensing of Environment, 295, 113697. https://doi.org/10.1016/j.rse.2023.113697

Ma, Yue

Yue
Ma
Yue Ma

Yue Ma is a Ph.D. student under the supervision of Dr. Xiaopeng Song in the Department of Geographical Science at the University of Maryland. Her research focuses on using machine learning models in the field of remote sensing. She is interested in GeoAI, big data, remote sensing, land use and land cover change. She received an M.S. in Geographical Information Science from the State University of New York at Buffalo, a B.S. in Geographical Information Science from Wuhan University, and a B. Ec. in Finance from Wuhan University.

Carbon, Vegetation Dynamics and Landscape-Scale Processes
Geospatial Information Science and Remote Sensing
Land Cover - Land Use Change
Area of Interest
Remote sensing
Land cover and land use change
geospatial artificial intelligence (GeoAI)
Email
yuema@umd.edu
Phone
7169078737
Degrees Held

The State University of New York at Buffalo, Buffalo, NY, USA. - M.S.

Wuhan University, Wuhan, Hubei, China. - B.S.

Wuhan University, Wuhan, Hubei, China. - B.Ec.

Student Status
PhD
Faculty Advisors

Jin, Shuyu

Shuyu
Jin
Shuyu Jin

Shuyu Jin is a doctoral student at the University of Maryland, College Park. She has cultivated a wide range of technical knowledge and skills in GIS, remote sensing, and computing. Specifically, she has developed geospatial tools and models for human-environment research, including climate adaptation, land use planning, and information development applications.

Her goal is to pursue a career in climate change focusing on spatial analysis, mapping, and community engagement. She is interested in exploring, conducting scientific research, telling stories, and educating others about socio-environmental development, particularly regarding community resilience efforts.

Human Dimensions of Global Change - Coupled Human and Natural Systems
Area of Interest
Social-ecological resilience for successful adaptation to climate change
Spatial analysis and mapping for community-based health and management
Coordination among diverse stakeholders in the coastal system
Email
geojsy@umd.edu
Room and Building
2181 LeFrak Hall
Student Status
PhD
Faculty Advisors

Asare-Ansah, Abena Boatemaa

Abena Boatemaa
Asare-Ansah
Abena
Geospatial Information Science and Remote Sensing
Land Cover - Land Use Change
Position Title
Graduate Teaching Assistant
Email
abaansah@terpmail.umd.edu
Room and Building
4600 River Road, Suite 309 (send mail to 2181 LeFrak)
Personal Website
Degrees Held

Urban Forestry, Southern University and A & M College (SUBR, Louisiana) - MS

Geomatic Engineering, Kwame Nkrumah University of Science & Technology (KNUST, Ghana) - BS

Student Status
PhD
Faculty Advisors

Li, R., Wang, D., Wang, W., and Nemani, R. (2023) A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation, Earth Syst. Sci. Data, https://doi.org/10.5194/essd-15-1419-2023

Doxani, G., Vermote, E. F., Roger, J. C., Skakun, S., Gascon, F., Collison, A., ... & Yin, F. (2023). Atmospheric Correction Inter-comparison eXercise, ACIX-II Land: An assessment of atmospheric correction processors for Landsat 8 and Sentinel-2