Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach.

[BibT_eX]

[DOI]

Chenxi Lin

Liheng Zhong

CoRR, 2021

Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops.

[BibT_eX]

[DOI]

Stefania Di Tommaso

Sherrie Wang

David B. Lobell

CoRR, 2021

Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions.

[BibT_eX]

[DOI]

Dan M. Kluger

Sherrie Wang

David B. Lobell

CoRR, 2021

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Geography-Aware Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Predicting Livelihood Indicators from Community-Generated Street-Level Imagery.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Efficient Poverty Mapping from High Resolution Remote Sensing Images.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Sight for Sorghums: Comparisons of Satellite- and Ground-Based Sorghum Yield Estimates in Mali.

[BibT_eX]

[DOI]

David B. Lobell

Stefania Di Tommaso

Calum You

Ismael Yacoubou Djima

Marshall Burke

Talip Kilic

Remote. Sens., 2020

High-Resolution Soybean Yield Mapping Across the US Midwest Using Subfield Harvester Data.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Using satellite imagery to understand and promote sustainable development.

[BibT_eX]

[DOI]

CoRR, 2020

Predicting Livelihood Indicators from Crowdsourced Street Level Images.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Poverty Mapping using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Generating Interpretable Poverty Maps using Object Detection in Satellite Images.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Landsat-Based Reconstruction of Corn and Soybean Yield Histories in the United States Since 1999.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Meta-Learning for Few-Shot Land Cover Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Farm Parcel Delineation Using Spatio-temporal Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning to Interpret Satellite Images in Global Scale Using Wikipedia.

[BibT_eX]

[DOI]

CoRR, 2019

Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty.

[BibT_eX]

[DOI]

CoRR, 2019

Predicting Economic Development using Geolocated Wikipedia Articles.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning to Interpret Satellite Images using Wikipedia.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Semantic Segmentation of Crop Type in Africa: A Novel Dataset and Analysis of Deep Learning Methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery.

[BibT_eX]

[DOI]

Wenjie Hu

Jay Harshadbhai Patel

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep Transfer Learning for Crop Yield Prediction with Remote Sensing Data.

[BibT_eX]

[DOI]

Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

2017

Mapping Smallholder Yield Heterogeneity at Multiple Scales in Eastern Africa.

[BibT_eX]

[DOI]

Remote. Sens., 2017

Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans.

[BibT_eX]

[DOI]

CoRR, 2017

Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning.

[BibT_eX]

[DOI]

Reid Pryzant

Stefano Ermon

David B. Lobell

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Mapping Smallholder Wheat Yields and Sowing Dates Using Micro-Satellite Data.

[BibT_eX]

[DOI]

Remote. Sens., 2016

Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2003

Comparison of Earth Observing-1 ALI and Landsat ETM+ for crop identification and yield prediction in Mexico.

[BibT_eX]

[DOI]

David B. Lobell

Gregory Asner

IEEE Trans. Geosci. Remote. Sens., 2003

David B. Lobell

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