Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping. - Sang Michael Xie; Neal Jean; Marshall Burke; David B. Lobell; Stefano Ermon (AAAI, 2016)

Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning. - Anthony Perez 002; Christopher Yeh; George Azzari; Marshall Burke; David B. Lobell; Stefano Ermon (CoRR, 2017)

Mapping Smallholder Yield Heterogeneity at Multiple Scales in Eastern Africa. - Zhenong Jin; George Azzari; Marshall Burke; Stephen Aston; David B. Lobell (Remote. Sens., 2017)

Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning. - Barak Oshri; Annie Hu; Peter Adelson; Xiao Chen 014; Pascaline Dupas; Jeremy Weinstein; Marshall Burke; David B. Lobell; Stefano Ermon (KDD, 2018)

Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery. - Wenjie Hu; Jay Harshadbhai Patel; Zoe-Alanah Robert; Paul Novosad; Samuel Asher; Zhongyi Tang; Marshall Burke; David B. Lobell; Stefano Ermon (AIES, 2019)

Semantic Segmentation of Crop Type in Africa: A Novel Dataset and Analysis of Deep Learning Methods. - Rose M. Rustowicz; Robin Cheong; Lijing Wang; Stefano Ermon; Marshall Burke; David B. Lobell (CVPR Workshops, 2019)

Learning to Interpret Satellite Images using Wikipedia. - Burak Uzkent; Evan Sheehan; Chenlin Meng; Zhongyi Tang; Marshall Burke; David B. Lobell; Stefano Ermon (IJCAI, 2019)

Predicting Economic Development using Geolocated Wikipedia Articles. - Evan Sheehan; Chenlin Meng; Matthew Tan; Burak Uzkent; Neal Jean; Marshall Burke; David B. Lobell; Stefano Ermon (KDD, 2019)

Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty. - Anthony Perez 002; Swetava Ganguli; Stefano Ermon; George Azzari; Marshall Burke; David B. Lobell (CoRR, 2019)

Learning to Interpret Satellite Images in Global Scale Using Wikipedia. - Burak Uzkent; Evan Sheehan; Chenlin Meng; Zhongyi Tang; Marshall Burke; David B. Lobell; Stefano Ermon (CoRR, 2019)

Farm Parcel Delineation Using Spatio-temporal Convolutional Networks. - Han Lin Aung; Burak Uzkent; Marshall Burke; David B. Lobell; Stefano Ermon (CVPR Workshops, 2020)

Generating Interpretable Poverty Maps using Object Detection in Satellite Images. - Kumar Ayush; Burak Uzkent; Marshall Burke; David B. Lobell; Stefano Ermon (IJCAI, 2020)

Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks. - Han Lin Aung; Burak Uzkent; Marshall Burke; David B. Lobell; Stefano Ermon (CoRR, 2020)

Efficient Poverty Mapping using Deep Reinforcement Learning. - Kumar Ayush; Burak Uzkent; Marshall Burke; David B. Lobell; Stefano Ermon (CoRR, 2020)

Predicting Livelihood Indicators from Crowdsourced Street Level Images. - Jihyeon Janel Lee; Dylan Grosz; Sicheng Zeng; Burak Uzkent; Marshall Burke; David B. Lobell; Stefano Ermon (CoRR, 2020)

Using satellite imagery to understand and promote sustainable development. - Marshall Burke; Anne Driscoll; David B. Lobell; Stefano Ermon (CoRR, 2020)

Sight for Sorghums: Comparisons of Satellite- and Ground-Based Sorghum Yield Estimates in Mali. - David B. Lobell; Stefania Di Tommaso; Calum You; Ismael Yacoubou Djima; Marshall Burke; Talip Kilic (Remote. Sens., 2020)

Efficient Poverty Mapping from High Resolution Remote Sensing Images. - Kumar Ayush; Burak Uzkent; Kumar Tanmay; Marshall Burke; David B. Lobell; Stefano Ermon (AAAI, 2021)

Predicting Livelihood Indicators from Community-Generated Street-Level Imagery. - Jihyeon Janel Lee; Dylan Grosz; Burak Uzkent; Sicheng Zeng; Marshall Burke; David B. Lobell; Stefano Ermon (AAAI, 2021)

Geography-Aware Self-Supervised Learning. - Kumar Ayush; Burak Uzkent; Chenlin Meng; Kumar Tanmay; Marshall Burke; David B. Lobell; Stefano Ermon (ICCV, 2021)

Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis. - Yutong He; Dingjie Wang; Nicholas Lai; William Zhang 004; Chenlin Meng; Marshall Burke; David B. Lobell; Stefano Ermon (NeurIPS, 2021)

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. - Christopher Yeh; Chenlin Meng; Sherrie Wang; Anne Driscoll; Erik Rozi; Patrick Liu; Jihyeon Janel Lee; Marshall Burke; David B. Lobell; Stefano Ermon (NeurIPS Datasets and Benchmarks, 2021)

Wildfire smoke plume segmentation using geostationary satellite imagery. - Jeff Wen; Marshall Burke (CoRR, 2021)

Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access. - Nathan Ratledge; Gabe Cadamuro; Brandon de la Cuesta; Matthieu Stigler; Marshall Burke (CoRR, 2021)

Scalable deep learning to identify brick kilns and aid regulatory capacity. - Jihyeon Janel Lee; Nina R. Brooks; Fahim Tajwar; Marshall Burke; Stefano Ermon; David B. Lobell; Debashish Biswas; Stephen P. Luby (Proc. Natl. Acad. Sci. USA, 2021)

Twice Is Nice: The Benefits of Two Ground Measures for Evaluating the Accuracy of Satellite-Based Sustainability Estimates. - David B. Lobell; Stefania Di Tommaso; Marshall Burke; Talip Kilic (Remote. Sens., 2021)

IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling. - Chenlin Meng; Enci Liu; Willie Neiswanger; Jiaming Song; Marshall Burke; David B. Lobell; Stefano Ermon (AAAI, 2022)

Understanding economic development in rural Africa using satellite imagery, building footprints and deep models. - Amna Elmustafa; Erik Rozi; Yutong He; Gengchen Mai; Stefano Ermon; Marshall Burke; David B. Lobell (SIGSPATIAL/GIS, 2022)

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery. - Yezhen Cong; Samar Khanna; Chenlin Meng; Patrick Liu; Erik Rozi; Yutong He; Marshall Burke; David B. Lobell; Stefano Ermon (NeurIPS, 2022)

Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution. - Yutong He; William Zhang 004; Chenlin Meng; Marshall Burke; David B. Lobell; Stefano Ermon (CoRR, 2022)

Detecting Crop Burning in India using Satellite Data. - Kendra Walker; Ben Moscona; Kelsey Jack; Seema Jayachandran; Namrata Kala; Rohini Pande; Jiani Xue; Marshall Burke (CoRR, 2022)

Using machine learning to assess the livelihood impact of electricity access. - Nathan Ratledge; Gabe Cadamuro; Brandon de la Cuesta; Matthieu Stigler; Marshall Burke (Nat., 2022)

Building Coverage Estimation with Low-resolution Remote Sensing Imagery. - Enci Liu; Chenlin Meng; Matthew Kolodner; Eun Jee Sung; Sihang Chen; Marshall Burke; David B. Lobell; Stefano Ermon (CoRR, 2023)

DiffusionSat: A Generative Foundation Model for Satellite Imagery. - Samar Khanna; Patrick Liu; Linqi Zhou; Chenlin Meng; Robin Rombach; Marshall Burke; David B. Lobell; Stefano Ermon (ICLR, 2024)

GeoLLM: Extracting Geospatial Knowledge from Large Language Models. - Rohin Manvi; Samar Khanna; Gengchen Mai; Marshall Burke; David B. Lobell; Stefano Ermon (ICLR, 2024)

Large Language Models are Geographically Biased. - Rohin Manvi; Samar Khanna; Marshall Burke; David B. Lobell; Stefano Ermon (ICML, 2024)