| Geocoding afrobarometer rounds 1-6: Methodology & data quality A BenYishay, R Rotberg, J Wells, Z Lv, S Goodman, L Kovacevic, ... AidData. Available online at http://geo. aiddata. org, 2017 | 113 | 2017 |
| GeoQuery: Integrating HPC systems and public web-based geospatial data tools S Goodman, A BenYishay, Z Lv, D Runfola Computers & geosciences 122, 103-112, 2019 | 104 | 2019 |
| pyShore: A deep learning toolkit for shoreline structure mapping with high-resolution orthographic imagery and convolutional neural networks Z Lv, K Nunez, E Brewer, D Runfola Computers & Geosciences 171, 105296, 2023 | 7 | 2023 |
| Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach Z Lv, K Nunez, E Brewer, D Runfola GIScience & Remote Sensing 61 (1), 2287291, 2024 | 2 | 2024 |
| Tracking the industrial growth of modern China with high-resolution panchromatic imagery: A sequential convolutional approach E Brewer, Z Lv, D Runfola arXiv preprint arXiv:2301.09620, 2023 | 1 | 2023 |
| Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators from High-Resolution Orthographic Imagery and Hybrid Learning E Brewer, G Valdrighi, P Solunke, J Rulff, Y Piadyk, Z Lv, J Poco, C Silva IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | | 2024 |
| A multi-glimpse deep learning architecture to estimate socioeconomic census metrics in the context of extreme scope variance D Runfola, A Stefanidis, Z Lv, J O’Brien, H Baier International Journal of Geographical Information Science, 1-25, 2024 | | 2024 |
| Granularity at Scale: Estimating Neighborhood Well-Being from High-Resolution Orthographic Imagery and Hybrid Learning E Brewer, G Valdrighi, P Solunke, J Rulff, Y Piadyk, Z Lv, J Poco, C Silva arXiv preprint arXiv:2309.16808, 2023 | | 2023 |
Daniel RunfolaAssistant Professor of Applied Science, William and MaryVerified email at wm.edu
