MA Zonghan
Professional Title:Assistant Professor
Email:mazh@aircas.ac.cn
Dr. Zonghan Ma is currently an assistant researcher in Aerospace Information Research Institute (AIRCAS),Chinese Academy of Sciences. He received PhD in Cartography and Geographic Information System from AIRCAS (2021) and BSc in Geomatics Engineering from Wuhan University (2016).
Dr. Zonghan Ma’s research focuses on: 1)Remote sensing based drought monitoring and human intervene effects evaluation,2)Agricultural field scale evapotranspiration estimation,3)Water-food-environment nexus research.
Agricultural water management,drought and basin water cycling with remote sensing
[1] The honorary title"Outstanding Graduate Student of Beijing"in 2021.
[2] The honorary title"Outstanding Graduate Student of University of Chinese Academy of Sciences"in 2021.
[3] Dean's award of Chinese Academy of Sciences in 2021.
1. Ma,Z.,Wu,B.,Yan,N.,Zhu,W.,& Xu,J. (2021). Coupling water and carbon processes to estimate field-scale maize evapotranspiration with Sentinel-2 data. Agricultural and Forest Meteorology,306,108421.
2. Ma Z,Yan N,Wu B,et al. (2019) Variation in actual evapotranspiration following changes in climate and vegetation cover during an ecological restoration period (2000–2015) in the Loess Plateau,China[J]. Science of the Total Environment,,689: 534-545.
3. Ma,Z.,Wu,B.,Yan,N.,Zhu,W.,Zeng,H.,& Xu,J. (2021). Spatial Allocation Method from Coarse Evapotranspiration Data to Agricultural Fields by Quantifying Variations in Crop Cover and Soil Moisture. Remote Sensing,13(3),343.
4. Wu,B.,Ma,Z.,Feng X,...& Fu B. (2025) Coordinating red line policies with water consumption caps in China’s drylands. Science Bulletin .02.021
5. Wu,B.,Ma,Z.,Boken,V. K.,Zeng,H.,Shang,J.,Igor,S.,...& Yan,N. (2022). Regional differences in the performance of drought mitigation measures in 12 major wheat-growing regions of the world. Agricultural Water Management,273,107888.
6. Wu B,Ma Z,Yan N. (2020) Agricultural drought mitigating indices derived from the changes in drought characteristics. Remote Sensing of Environment,244: 111813.
7. Pan,Q.,Ma,Z.,Wu,H.,Yan,N.,Zhu,W.,Wang,Y.,& Wu,B. (2025). Algorithm parameters for retrieving land surface temperature from the SDGSAT-1 thermal infrared spectrometer. International Journal of Applied Earth Observation and Geoinformation,136,104340.
8. Song,P.,Li,X.,Ma,Z.,& Wu,S. (2024). Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information. International Journal of Applied Earth Observation and Geoinformation,128,103703.
9. Wang,Z.,Wu,B.,Ma,Z.,Zhang,M.,& Zeng,H. (2024). Distinguishing natural and anthropogenic contributions to biological soil crust distribution in China's drylands. Science of The Total Environment,907,168009.
10. Wang,Z.,Wu,B.,Ma,Z.,Zhang,M.,Zeng,H.,& Yang,L. (2023). Spectral determinants of biological soil crusts in the Gurbantungut Desert. International Journal of Remote Sensing,44(7),2273-2293.