DeepSoil: A Science-guided Framework for Generating High Precision Soil Moisture Maps by Reconciling Measurement Profiles Across In-situ and Remote Sensing Data.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024
Deep Learning based Approach for Fast, Effective Visualization of Voluminous Gridded Spatial Observations.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
Enabling Fast, Effective Visualization of Voluminous Gridded Spatial Datasets.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
DISCERN: Leveraging Knowledge Distillation to Generate High Resolution Soil Moisture Estimation from Coarse Satellite Data.
Proceedings of the IEEE International Conference on Big Data, 2023
ARGUS: Rapid Wildfire Tracking Using Satellite Data Collections.
Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023
Attention-based convolutional capsules for evapotranspiration estimation at scale.
Environ. Model. Softw., 2022
CloudNet: A Deep Learning Approach for Mitigating Occlusions in Landsat-8 Imagery using Data Coalescence.
Proceedings of the 18th IEEE International Conference on e-Science, 2022
Mind the Gap: Generating Imputations for Satellite Data Collections at Myriad Spatiotemporal Scopes.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021
Small is Beautiful: Distributed Orchestration of Spatial Deep Learning Workloads.
Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020
Lightweight, Embeddings Based Storage and Model Construction Over Satellite Data Collections.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
STASH : Fast Hierarchical Aggregation Queries for Effective Visual Spatiotemporal Explorations.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019