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01/04/2023
Building Coverage Estimation with Low-resolution Remote Sensing Imagery
Building coverage statistics provide crucial insights into the urbanizat...
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09/21/2022
Detecting Crop Burning in India using Satellite Data
Crop residue burning is a major source of air pollution in many parts of...
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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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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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09/07/2021
Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access
In many regions of the world, sparse data on key economic outcomes inhib...
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09/03/2021
Wildfire smoke plume segmentation using geostationary satellite imagery
Wildfires have increased in frequency and severity over the past two dec...
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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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11/19/2020
Geography-Aware Self-Supervised Learning
Contrastive learning methods have significantly narrowed the gap between...
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09/23/2020
Using satellite imagery to understand and promote sustainable development
Accurate and comprehensive measurements of a range of sustainable develo...
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06/15/2020
Predicting Livelihood Indicators from Crowdsourced Street Level Images
Major decisions from governments and other large organizations rely on m...
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06/07/2020
Efficient Poverty Mapping using Deep Reinforcement Learning
The combination of high-resolution satellite imagery and machine learnin...
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04/11/2020
Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks
Farm parcel delineation provides cadastral data that is important in dev...
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02/05/2020
Generating Interpretable Poverty Maps using Object Detection in Satellite Images
Accurate local-level poverty measurement is an essential task for govern...
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05/07/2019
Learning to Interpret Satellite Images in Global Scale Using Wikipedia
Despite recent progress in computer vision, finegrained interpretation o...
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05/05/2019
Predicting Economic Development using Geolocated Wikipedia Articles
Progress on the UN Sustainable Development Goals (SDGs) is hampered by a...
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05/04/2019
Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery
Millions of people worldwide are absent from their country's census. Acc...
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09/19/2018
Learning to Interpret Satellite Images Using Wikipedia
Despite recent progress in computer vision, fine-grained interpretation ...
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06/03/2018
Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning
The UN Sustainable Development Goals allude to the importance of infrast...
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11/10/2017