Shrestha, S., I. Miranda, A. Kumar, M. Pardo, S. Dahal, T. Rashid, C. Remillard, and D.R. Mishra. (2018). Identifying and forecasting potential biophysical risk areas within a tropical mangrove ecosystem using multi-sensor data, International Journal of Applied Earth Observations & Geoinformation.
Rashid, T., Mackres, E., Guzder-Williams, B.P., Kerins, P., Pietraszkiewicz, E. (2019), Measuring Urban Surface Reflectivity and Heat Mitigation Potential at High-Resolution with Remote Sensing and Machine Learning, Abstract [GC21I-1363] presented at 2019 Fall Meeting, AGU, San Francisco, CA, 9-13 Dec.
Kerins, P., Guzder-Williams, B.P., Rashid, T., Mackres, E., Pietraszkiewicz, E. (2019), Mapping Urban India: Comprehensive Land Use/Land Cover Classification of Urban Areas Using Public Imagery and Machine Learning, Abstract [IN42A-07] presented at 2019 Fall Meeting, AGU, San Francisco, CA, 9-13 Dec.
Kerins, P., E. Nilson, E. Mackres, T. Rashid, B. Guzder-Williams, and S. Brumby. 2020. “Spatial Characterization of Urban Land Use through Machine Learning.” Technical Note. Washington, DC: World Resources Institute.
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA