Dr. Aakash Ahamed

Dr. Aakash Ahamed

Phone: (805) 756-0919
Office: 10-239
aaahamed@calpoly.edu

 

 

Office Hours Listings

 

 

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About Dr. Aakash Ahamed

Dr. Aakash Ahamed is a remote sensing scientist using instruments deployed on phones, drones, planes, and satellites to understand the water and carbon cycles. He is an Assistant Professor of Geospatial Sciences at Cal Poly SLO, and the Co-founder and Chief Scientist of Working Trees, a start-up focused on leveraging mobile sensing technology to improve science and transparency in tree carbon monitoring.

Ahamed has authored or co-authored 9 publications on the use of remote sensing data to solve problems in water resources, agriculture, forestry, and natural hazards; and received the Exceptional PhD Thesis award from Stanford University’s Geophysics Department, for his thesis, “Advancing the Use of Remote Sensing Data and Models to Understand Hydrological Processes in California”.

He previously worked as a research scientist at NASA Goddard Space Flight Center, as a remote sensing scientist at a Series C precision agriculture startup (Ceres Imaging), served as a National Geographic Explorer, and interned as a GIS analyst at the World Wildlife Fund for Nature in Washington, DC. He received his masters degree in Earth and Environmental Sciences on a full scholarship from Boston College, and holds a bachelor’s degree (with honors) in Geosciences from Franklin and Marshall College.

Selected Publications

Ahamed, A., Foye, J., Poudel, S., Trieschman, E. and Fike, J., (2023). Measuring Tree Diameter with Photogrammetry Using Mobile Phone Cameras. Forests, 14(10), p.2027. https://doi.org/10.3390/f14102027.

Ahamed, A., Knight, R., Alam, S., Morphew, M. and Susskind, T., (2023). Remote Sensing-Based Estimates of Changes in Stored Groundwater at Local Scales: Case Study for Two Groundwater Subbasins in California’s Central Valley. Remote Sensing. 15(8). https://doi.org/10.3390/rs15082100.

Ahamed, A., Knight, R., Alam, S., Pauloo, R. and Melton, F., (2021). Assessing the utility of remote sensing data to accurately estimate changes in groundwater storage. Science of The Total Environment, 807, p.150635. https://doi.org/10.1016/j.scitotenv.2021.150635.

Fayne, J. V., Ahamed, A., Roberts-Pierel, J., Rumsey, A. C., and Kirschbaum, D. (2019). Automated Satellite-Based Landslide Identification Product for Nepal. Earth Interactions, 23(3), 1-21. https://doi.org/10.1175/EI-D-17-0022.1.

Oddo, P. C., Ahamed, A., Bolten, J. D. (2018). Socioeconomic Impact Evaluation for Near Real-Time Flood Detection in the Lower Mekong River Basin. Hydrology, 5(2), 23. https://doi.org/10.3390/hydrology5020023.

Ahamed, A., and Bolten, J. D. (2017). A MODIS-based automated flood monitoring system for Southeast Asia. International Journal of Applied Earth Observation and Geoinformation, 61, 104-117. https://doi.org/10.1016/j.jag.2017.05.006.

Ahamed, A., Bolten, J.D., Doyle, C.S., Fayne, J.V. (2017). Near Real Time Flood Monitoring and Impact Assessment Systems. In Remote Sensing of Hydrological Extremes. https://doi.org/10.1007/978-3-319-43744-6_6.