Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps.
CoRR, 2024
Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical Samples.
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CoRR, 2024
Seeing Through the Clouds: Cloud Gap Imputation with Prithvi Foundation Model.
CoRR, 2024
Yield estimation from SAR data using patch-based deep learning and machine learning techniques.
Comput. Electron. Agric., 2024
GEO-Bench: Toward Foundation Models for Earth Monitoring.
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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Estimating Soil Moisture Profiles by Combining P-Band SAR with Hydrological Modeling.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark.
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CoRR, 2021
Surface Water Detection from Sentinel-1.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Complex Permittivity and Penetration Depth Estimation from Airborne P-Band SAR Data Applying a Hybrid Decomposition Method.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
The Case for Open-Access ML-Ready Geospatial Training Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
LandCoverNet: A global benchmark land cover classification training dataset.
CoRR, 2020
Generating Synthetic Multispectral Satellite Imagery from Sentinel-2.
CoRR, 2020
Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks.
CoRR, 2020
Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020.
CoRR, 2020
Detecting Roads from Satellite Imagery in the Developing World.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Generating a Training Dataset for Land Cover Classification to Advance Global Development.
CoRR, 2018