| What you see is what you breathe? estimating air pollution spatial variation using Street-Level imagery E Suel, M Sorek-Hamer, I Moise, M Von Pohle, A Sahasrabhojanee, ... Remote sensing 14 (14), 3429, 2022 | 6 | 2022 |
| A deep learning approach for meter-scale air quality estimation in urban environments using very high-spatial-resolution satellite imagery M Sorek-Hamer, M Von Pohle, A Sahasrabhojanee, A Akbari Asanjan, ... Atmosphere 13 (5), 696, 2022 | 6 | 2022 |
| Using deep transfer learning and satellite imagery to estimate urban air quality in data-poor regions N Yadav, M Sorek-Hamer, M Von Pohle, AA Asanjan, A Sahasrabhojanee, ... Environmental Pollution 342, 122914, 2024 | | 2024 |
| Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations N Yadav, M Sorek-Hamer, M Von Pohle, AA Asanjan, A Sahasrabhojanee, ... arXiv preprint arXiv:2202.08890, 2022 | | 2022 |
| A Deep Learning Approach for Meter-Scale Air Quality Estimation in Urban Environments Using Very High-Resolution Satellite Imagery M Sorek Hamer, A Akbari Asanjan, M Von Pohle, A Sahasrabhojanee, ... ISEE Conference Abstracts 2021 (1), 2021 | | 2021 |
| Satellite Imagery-Based Urban Noise Prediction Model–Case study over Vancouver, Canada M Sorek-Hamer, E Deardorff, V Lingenfelter, M von Pohle, ... AGU Fall Meeting 2020, 2020 | | 2020 |
| Satellite Imagery-Based Urban Noise Prediction Model-Case study over Vancouver, Canada V Lingenfelter, M Sorek-Hamer, E Deardorff, M von Pohle, ... AGU Fall Meeting Abstracts 2020, A043-0014, 2020 | | 2020 |
| Air Quality Modeling for Urban Environments Using Deep Neural Networks and Very High-Resolution Satellite Imagery M von Pohle, A Sahasrabhojanee, A Akbari Asanjan, E Deardorff, ... AGU Fall Meeting Abstracts 2020, A069-07, 2020 | | 2020 |
