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12/19/2022
Annual field-scale maps of tall and short crops at the global scale using GEDI and Sentinel-2
Crop type maps are critical for tracking agricultural land use and estim...
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07/17/2022
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
Unsupervised pre-training methods for large vision models have shown to ...
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04/04/2022
Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution
Automated tracking of urban development in areas where construction info...
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01/13/2022
Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision
Crop field boundaries aid in mapping crop types, predicting yields, and ...
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12/27/2021
Combining randomized field experiments with observational satellite data to assess the benefits of crop rotations on yields
With climate change threatening agricultural productivity and global foo...
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11/08/2021
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
Progress toward the United Nations Sustainable Development Goals (SDGs) ...
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10/19/2021
Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach
Land cover classification in remote sensing is often faced with the chal...
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09/10/2021
Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops
High resolution crop type maps are an important tool for improving food ...
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09/02/2021
Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions
Crop type mapping at the field level is critical for a variety of applic...
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06/22/2021
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis
High-resolution satellite imagery has proven useful for a broad range of...
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09/23/2020