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 | 8 | 2022 |
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 | 7 | 2022 |
Evaluating best practices for macroscopic charcoal-based fire history reconstructions through a research experience for undergraduates MK Walsh, K Anderson, E Deardorff, S Johnson, D Kim, R Mitre, T Morrey, ... Yearbook of the Association of Pacific Coast Geographers 83 (83), 98-119, 2021 | 1 | 2021 |
Operationalizing NOAA's Flood Inundation Mapping Services C Pruitt, R Hanna, F Salas, F Aristizabal, B Bates, R Spies, L Keys, ... 104th AMS Annual Meeting, 2024 | | 2024 |
A Serverless Computing Implementation of Flood Inundation Mapping R Gonzalez-Pita, F Salas, R Hanna, C Pruitt, F Aristizabal, B Bates, ... 104th AMS Annual Meeting, 2024 | | 2024 |
Harnessing the Cloud for Operational Flood Prediction: Developing the Office of Water Prediction's Flood Inundation Mapping Capabilities R Spies, C Pruitt, B Bates, M Luck, R Hanna, R Gonzalez-Pita, L Keys, ... AGU Fall Meeting Abstracts 2023, H34F-04, 2023 | | 2023 |
Benchmarking the Performance of Deep Learning Streamflow Models and Finetuning Methods against the National Water Model in Small, Semi-Arid Watersheds using Hydrologic Signatures E Deardorff San Diego State University, 2022 | | 2022 |
Evaluating the performance of long short-term memory (LSTM) modeling for predicting streamflow in subcatchments of differing size and hydrologic characteristics in Reynolds … E Deardorff, H Lotfi, S Rahat, J Frame AGU Fall Meeting Abstracts 2021, H31B-06, 2021 | | 2021 |
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 |
Exploring the spatial dynamics of algae blooms in Lake Whatcom via satellite imagery E Deardorff, A Strecker, D Wallin Washington State Lake Protection Association Annual Meeting 2020, 2020 | | 2020 |
Synchronization in hydrologic processes and modeling the response with concepts, physics and neural networks JM Frame, T Bindas, R Araki, J Rapp, E Deardorff | | |