Saint Louis University

Abuduwasiti Wulamu, Ph.D.

Wasit WulamuProfessional experience

Assistant Professor, Center for Sustainability, Saint Louis University
Assistant Research Professor, Department of Earth & Atmospheric Sciences, Saint Louis University
Geospatial Analyst with the Center for Environmental Sciences, Saint Louis University
Postdoctoral Research Associate in Quantitative Remote Sensing, LSIIT - UMR 7005 (CNRS/ULP), University of Strasbourg


Ph.D. in Cartography and GIS, Peking University

Research interests

Dr. Wulamu's research focuses on environmental impacts of land cover and land use (LCLU) and climate change, with particular attention to water resources and agriculture. He develops algorithms to characterize the changes to Earth's land cover and integrate remote sensing observations with model-based approaches to understand the impacts of climate and land use changes on the water and energy cycles and ecosystems from local to global scales. As a geo-environmental scientist specializing in remote sensing and GIS applications, he is interested in developing new methods that improve the information content of satellite data for improved LCLU mapping. To this end, he uses multispectral, hyperspectral, and active microwave (SAR/PolInSAR/InSAR) and field observations to map crops, invasive plants, minerals and InSAR data to monitor land subsidence from anthropogenic activities, which are unified by a central theme: monitoring the impacts of climate and land-use changes on the environment using remote sensing and GIS as the primary tool. Examples of ongoing or recent projects in Dr. Wulamu's lab include (1) climate change and precision agriculture: monitoring plant responses to water and ozone stress using field, airborne (UAV/UAS, manned aircraft) and satellite hyperspectral remote sensing, (2) impacts of land-cover and land-use change (LCLUC) on water quality under various scenarios of future climate change and land use modifications, (3) applications of InSAR/DInSAR/LiDAR in predictive modeling of geological hazards (e.g., landslides), and (4) integrated use of hyperspectral and SAR data fusion in minerals and plant species detection. Currently, he is involved in NASA's Air Quality Applications Science Team (AQAST), and NASA's next mission that will study atmospheric composition, TEMPO (Tropospheric Emissions: Measurement of Pollution), which is scheduled to be launched in 2019. He has authored over 30 peer-reviewed journal publications, one book chapter, and presented more than 30 conference papers and workshops.

Selected teaching

Introduction to GIS (GIS 4010/5010)
Intermediate GIS (GIS 4020/5020)
Geospatial Methods in Environmental Studies (GIS 4060/5060)
Introduction to Remote Sensing (GIS 4040/5040)
Digital Cartography and Geovisualization (GIS 5080)
Microwave Remote Sensing: SAR Principles, Data Processing and Applications (GIS 4100/GIS 5100)
Interferometric Synthetic Aperture Radar (GIS 4110/5110)
GIS Capstone (GIS 4960/5960)
Programming for Remote Sensing (GIS 4090/5090) 


Selected publications

Ghulam, A., Fishman, J., Maimaitiyiming, M., Wilkins, J.-L., Maimaitijiang, M., Welsh, J., Bira, B., Grzovic, M. (2015). Characterizing crop responses to background ozone in open air agricultural field by using reflectance spectroscopy. IEEE Geoscience and Remote Sensing Letters,12(6): 1307-1311.

Maimaitijiang, M., Ghulam, A., Sandoval, J. S. O., Maimaitiyiming, M. (2015). Drivers of land cover and land use changes in St. Louis Metropolitan area over the past 40 years characterized by remote sensing and census population data. International Journal of Applied Earth Observation and Geoinformation, 35,  161-174.

Zeng, T., Ghulam, A., Yang, W-N, Grzovic, M., Maimaitiyiming, M. (2015). Estimating the volume and spatial extent of loose deposits, and its contribution to potential geological hazards over Wenchuan Earthquake zone, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(2): 750-762.

Ghulam, A. (2014). Monitoring tropical forest degradation in Betampona Nature Reserve, Madagascar using multi-source remote sensing data fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(12):4960-4971.

Ghulam, A., Porton, I., Freeman, K. (2014). Detecting subcanopy invasive plant species in tropical rainforest by integrating optical and microwave (InSAR/PolInSAR) remote sensing data, and a decision tree algorithm. ISPRS Journal of Photogrammetry and Remote Sensing, 88:174-192.

Sawut, M., Ghulam, A., Teyip, T., Zhang, Y-J., Ding, J-L., Zhang, F. (2014). Estimating soil sand content using thermal infrared spectra in arid lands. International Journal of Applied Earth Observation and Geoinformation, 33:203-210.

Maimatiyiming, M., Ghulam, A., Tiyip, T., Pla, F., Latorre-Carmona, P., Sawut, M., Halik, Ü., Caetano, M. (2014). Effects of spatial pattern of green space on land surface temperature: implications for sustainable urban planning and climate change adaptation. ISPRS Journal of Photogrammetry and Remote Sensing, 89: 59-66.

Jordan, Y. C., Ghulam, A., Chu, M. L. (2014). Assessing the impacts of future urban developing patterns and climate changes on surface water quality using geoinformatics. Journal of Environmental Informatics, 24 (2), 65-79.

Jordan, Y. C., Ghulam, A., Hartling, S. (2014). Traits of surface water pollution under climate and land use changes: A remote sensing and hydrological modeling approach. Earth-Science Reviews, 128:181-195.

Shahabfar, A., Ghulam, A., Conrad, C. (2014). Understanding hydrological repartitioning and shifts in drought regimes in Central and South-West Asia using MODIS derived perpendicular drought index and TRMM data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(3): 983-993.

Chu, M. L., Knouft, J., Ghulam, A., Pan, Z. (2013). Impacts of urbanization on river flow variables: A controlled experimental modeling-based evaluation approach. Journal of Hydrology, 495: 1-12.

Ghulam, A., Kusky, T., Teyip, T. and Qin, Q. (2011). Subcanopy soil moisture modeling in n-dimensional spectral feature space. Photogrammetric Engineering and Remote Sensing, 77(2):149-156.

Ghulam, A., Li, Z-L, Qin, Q., Yimit, H., Wang, J. (2008). Estimating crop water stress with ETM+ NIR and SWIR data. Agricultural and Forest Meteorology, 148:1679-1695. 

Ghulam, A., Qin, Q., Teyip, T., Li, Z-L. (2007). Modified perpendicular drought index (MPDI): a real-time drought monitoring method. ISPRS Journal of Photogrammetry and Remote Sensing, 62: 150-164. 

Higher purpose. Greater good.
© 1818 - 2017  SAINT LOUIS UNIVERSITY   |   Disclaimer   |  Mobile Site
St. Louis   |   Madrid