Professor Han MA

Education:

Professor Ma received the B.S. degree from Shandong University of Science and Technology, M.S. and Ph.D. degree from Beijing Normal University. She was a Joint Ph.D. Student with the Department of Geographical Sciences, University of Maryland.

Research Interest:

Professor Ma’s main research interests include radiative transfer modeling, development of land surface and atmosphere variables retrieval algorithms using data assimilation and machine learning techniques, to support global environmental change applications and sustainable development.

Publications:

Five most representative publications in recent five years

• Xiong, C., Ma, H., Liang, S., He, T., Zhang, Y., Zhang, G., & Xu, J. (2023). Improved global 250 m 8-day NDVI and EVI products from 2000–2021 using the LSTM model. Scientific Data, 10(1), 800.

• Ma, H. and Liang, S., "Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model," Remote Sensing of Environment, vol. 273, p. 112985, 2022/05/01/ 2022.

• Ma, H., Liang, S., Xiong, C., Wang, Q., Jia, A., and Li, B., "Global land surface 250 m 8 d fraction of absorbed photosynthetically active radiation (FAPAR) product from 2000 to 2021," Earth System Science Data, vol. 14, no. 12, pp. 5333-5347, 2022.

• Ma, H., Liang, S., Zhu, Z. and He T., “Developing a Land continuous Variable Estimator to generate daily land products from Landsat data,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-19, 2022, Art no. 4406619.

• Ma, H., Liang, S., Shi, H., and Zhang, Y., “An Optimization Approach for Estimating Multiple Land Surface and Atmospheric Variables From the Geostationary Advanced Himawari Imager Top-of Atmosphere Observations,” IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2888-2908, 2021.

Other representative publications

• Zhang, G., Ma, H.*, Liang, S., Jia, A., He, T. and Wang, D., "A machine learning method trained by radiative transfer model inversion for generating seven global land and atmospheric estimates from VIIRS top-of-atmosphere observations," Remote Sensing of Environment, vol. 279, p. 113132, 2022/09/15/ 2022.

• Ma, H., Liang, S., Xiao, Z. et al., “Simultaneous inversion of multiple land surface parameters from MODIS optical–thermal observations,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 128, pp. 240-254, 2017.

• Ding, A., Ma, H.*, Liang, S., and He, T., "Extension of the Hapke model to the spectral domain to characterize soil physical properties," Remote Sensing of Environment, vol. 269, p. 112843, 2022.

• Ma, H., Liang, S., Xiao, Z. and Wang, D., “Simultaneous Estimation of Multiple Land-Surface Parameters from VIIRS Optical-Thermal Data,” IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 1, pp. 156-160, 2018.