Geospatial Machine Learning

Combining geospatial data with machine learning to gather usable insights

< AI For Good Lab

Publications

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- HASTE: A Platform for Rapid Post-Disaster Building Damage Assessment
  
  Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Cameron Birge, Meygha Machado, Marcelo Duarte, Joaquin Rivero Rodriguez, Anthony Cintron Roman, Kevin White, Inbal Becker-Reshef, Juan M. Lavista Ferres
  
  July 2026
  
  PDF
- The first global agricultural field boundary map at 10m resolution
  
  Caleb Robinson, Gedeon Muhawenayo, Subash Khanal, Zhanpei Fang, Isaac Corley, Ana M. Tárano, Lyndon Estes, Jennifer Marcus, Nathan Jacobs, Hannah Kerner, Inbal Becker-Reshef, Juan M. Lavista Ferres
  
  April 2026
  
  Publication
- Sims: An Interactive Tool for Geospatial Matching and Clustering
  
  Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres
  
  PLOS One | April 2026
  
  Publication DOI PDF Project Project
- Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India
  
  Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres
  
  AAAI Conference on Artificial Intelligence (AAAI-26) | March 2026
  
  Publication PDF DOI Preprint
- Core-Set Selection for Data-efficient Land Cover Segmentation
  
  Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakuş, Paul L Rosin
  
  IEEE Access | January 2026
  
  Publication PDF DOI
- Enhancing Food Security with High-Quality Land-Use and Land-Cover Maps: A Local Model Approach
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | June 2025
  
  Publication
- GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models
  
  Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Caleb Robinson, Akram Zaytar, Rahul Dodhia, Juan M. Lavista Ferres
  
  May 2025
  
  Publication
- Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning
  
  Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
  
  Sustainable Transition with AI workshop at IJCAI 2024 | April 2025
  
  Publication
- Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
  
  Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
  
  Proceedings of the AAAI Conference on Artificial Intelligence | April 2025
  
  Publication Project
- FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing
  
  Isaac Corley, Simone Fobi Nsutezo, Anthony Ortiz, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2025
  
  Publication PDF DOI
- PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery
  
  Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
  
  Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
  
  Publication Project Project
- TorchGeo: Deep Learning With Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM Transactions on Spatial Algorithms and Systems | January 2025
  
  Publication PDF
- Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
  
  Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres
  
  CVPR Workshop | December 2024
  
  Publication Project Project
- Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  December 2024
  
  Publication PDF Project Project
- Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery
  
  Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
  
  March 2024
  
  Publication Project Project
- A Change Detection Reality Check
  
  Isaac Corley, Caleb Robinson, Anthony Ortiz
  
  February 2024
  
  Preprint DOI Project
- Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
  
  Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
  
  February 2024
  
  Preprint DOI Project
- Weak labeling for cropland mapping in Africa
  
  Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood
  
  January 2024
  
  Preprint DOI Project
- Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
  
  Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2024
  
  Preprint DOI Project
- Datasets and Foundation Models for Landsat Imagery
  
  Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
  
  Advances in Neural Information Processing Systems (NeurIPS 2023) | December 2023
  
  Publication Project Project
- The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
  
  Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
  
  Land | November 2023
  
  Publication DOI Project Project
- Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event
  
  Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
  
  June 2023
  
  Publication PDF Project
- Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
  
  Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  May 2023
  
  Publication Project
- Mask Conditional Synthetic Satellite Imagery
  
  Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson
  
  ICLR 2023 Machine Learning for Remote Sensing Workshop | May 2023
  
  Publication Project
- A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
  
  Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
  
  Journal of Marine Science & Engineering | March 2023
  
  Publication Project Project
- On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach
  
  Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres
  
  International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022
  
  Publication PDF Project
- TorchGeo: Deep Learning with Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM SIGSPATIAL 2022 | November 2022
  
  Nominated for best paper
  
  Publication Preprint Project
- Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery
  
  Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan M. Lavista Ferres
  
  NeurIPS AI+HADR Workshop 2022 | November 2022
  
  Publication Project
- Mapping Glacial Lakes Using Historically Guided Segmentation Models
  
  Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
  
  Publication Project Project Project
- An Artificial Intelligence Dataset for Solar Energy Locations in India
  
  Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
  
  Scientific Data | August 2022, Vol 9(1): pp. 1-13
  
  Publication PDF Project Project
- Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery
  
  Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458
  
  Publication Preprint Project
- Fast Building Segmentation From Satellite Imagery and Few Local Labels
  
  Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
  
  CVPR 2022 | June 2022
  
  Publication PDF Project
- The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
  
  Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
  
  Publication Project
- From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery
  
  Nebojsa Jojic, Kolya Malkin, Caleb Robinson, Anthony Ortiz
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | July 2021
  
  Publication Project Project
- Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
  
  Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon Anderson, Daniel E. Ho
  
  ACM COMPASS 2021 | June 2021
  
  Honorable mention for best paper
  
  Publication Preprint Project
- Detecting Cattle and Elk in the Wild from Space
  
  Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres
  
  June 2021
  
  KDD 2021 Fragile Earth Workshop
  
  Preprint Project Project
- 2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good
  
  Naoto Yokoya, Pedram Ghamisi, Ronny Hansch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, Nebojsa Jojic
  
  IEEE Geoscience and Remote Sensing Magazine | March 2021, Vol 9(1): pp. 287-C3
  
  Publication PDF Project Project
- Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest
  
  Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | March 2021, Vol 14: pp. 3185-3199
  
  Publication Project
- Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data
  
  Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres
  
  IAAI’21 | February 2021
  
  Publication PDF Project
- High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
  
  Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
  
  January 2021
  
  Publication Project Project
- Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
  
  Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
  
  NeurIPS CCAI | December 2020
  
  Publication PDF Project Project
- Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
  
  Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
  
  1st place in 2020 IEEE GRSS Data Fusion Contest
  
  Publication Project
- Local Context Normalization: Revisiting Local Normalization
  
  Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
  
  CVPR 2020 | June 2020
  
  Publication Preprint PDF Project
- Human-Machine Collaboration for Fast Land Cover Mapping
  
  Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
  
  AAAI 2020 | April 2020
  
  Publication Preprint PDF Project Project
- Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
  
  Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
  
  CVPR 2019 | May 2019
  
  Publication PDF Project Project

- HASTE: A Platform for Rapid Post-Disaster Building Damage Assessment
  
  Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Cameron Birge, Meygha Machado, Marcelo Duarte, Joaquin Rivero Rodriguez, Anthony Cintron Roman, Kevin White, Inbal Becker-Reshef, Juan M. Lavista Ferres
  
  July 2026
  
  PDF
- Sims: An Interactive Tool for Geospatial Matching and Clustering
  
  Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres
  
  PLOS One | April 2026
  
  Publication DOI PDF Project Project
- Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India
  
  Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres
  
  AAAI Conference on Artificial Intelligence (AAAI-26) | March 2026
  
  Publication PDF DOI Preprint
- Core-Set Selection for Data-efficient Land Cover Segmentation
  
  Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakuş, Paul L Rosin
  
  IEEE Access | January 2026
  
  Publication PDF DOI
- GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models
  
  Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Caleb Robinson, Akram Zaytar, Rahul Dodhia, Juan M. Lavista Ferres
  
  May 2025
  
  Publication
- Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning
  
  Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
  
  Sustainable Transition with AI workshop at IJCAI 2024 | April 2025
  
  Publication
- Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
  
  Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
  
  Proceedings of the AAAI Conference on Artificial Intelligence | April 2025
  
  Publication Project
- FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing
  
  Isaac Corley, Simone Fobi Nsutezo, Anthony Ortiz, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2025
  
  Publication PDF DOI
- TorchGeo: Deep Learning With Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM Transactions on Spatial Algorithms and Systems | January 2025
  
  Publication PDF
- PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery
  
  Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
  
  Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
  
  Publication Project Project
- Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
  
  Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres
  
  CVPR Workshop | December 2024
  
  Publication Project Project
- Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  December 2024
  
  Publication PDF Project Project
- Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery
  
  Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
  
  March 2024
  
  Publication Project Project
- A Change Detection Reality Check
  
  Isaac Corley, Caleb Robinson, Anthony Ortiz
  
  February 2024
  
  Preprint DOI Project
- Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
  
  Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
  
  February 2024
  
  Preprint DOI Project
- Weak labeling for cropland mapping in Africa
  
  Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood
  
  January 2024
  
  Preprint DOI Project
- Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
  
  Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2024
  
  Preprint DOI Project
- Datasets and Foundation Models for Landsat Imagery
  
  Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
  
  Advances in Neural Information Processing Systems (NeurIPS 2023) | December 2023
  
  Publication Project Project
- The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
  
  Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
  
  Land | November 2023
  
  Publication DOI Project Project
- Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event
  
  Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
  
  June 2023
  
  Publication PDF Project
- Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
  
  Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  May 2023
  
  Publication Project
- A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
  
  Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
  
  Journal of Marine Science & Engineering | March 2023
  
  Publication Project Project
- Mapping Glacial Lakes Using Historically Guided Segmentation Models
  
  Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
  
  Publication Project Project Project
- The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
  
  Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
  
  Publication Project
- 2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good
  
  Naoto Yokoya, Pedram Ghamisi, Ronny Hansch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, Nebojsa Jojic
  
  IEEE Geoscience and Remote Sensing Magazine | March 2021, Vol 9(1): pp. 287-C3
  
  Publication PDF Project Project
- Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest
  
  Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | March 2021, Vol 14: pp. 3185-3199
  
  Publication Project
- Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data
  
  Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres
  
  IAAI’21 | February 2021
  
  Publication PDF Project
- High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
  
  Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
  
  January 2021
  
  Publication Project Project
- Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
  
  Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
  
  NeurIPS CCAI | December 2020
  
  Publication PDF Project Project
- Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
  
  Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
  
  1st place in 2020 IEEE GRSS Data Fusion Contest
  
  Publication Project
- Local Context Normalization: Revisiting Local Normalization
  
  Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
  
  CVPR 2020 | June 2020
  
  Publication Preprint PDF Project
- Human-Machine Collaboration for Fast Land Cover Mapping
  
  Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
  
  AAAI 2020 | April 2020
  
  Publication Preprint PDF Project Project
- Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
  
  Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
  
  CVPR 2019 | May 2019
  
  Publication PDF Project Project
- The first global agricultural field boundary map at 10m resolution
  
  Caleb Robinson, Gedeon Muhawenayo, Subash Khanal, Zhanpei Fang, Isaac Corley, Ana M. Tárano, Lyndon Estes, Jennifer Marcus, Nathan Jacobs, Hannah Kerner, Inbal Becker-Reshef, Juan M. Lavista Ferres
  
  April 2026
  
  Publication
- Sims: An Interactive Tool for Geospatial Matching and Clustering
  
  Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres
  
  PLOS One | April 2026
  
  Publication DOI PDF Project Project
- Enhancing Food Security with High-Quality Land-Use and Land-Cover Maps: A Local Model Approach
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | June 2025
  
  Publication
- GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models
  
  Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Caleb Robinson, Akram Zaytar, Rahul Dodhia, Juan M. Lavista Ferres
  
  May 2025
  
  Publication
- Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning
  
  Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
  
  Sustainable Transition with AI workshop at IJCAI 2024 | April 2025
  
  Publication
- FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing
  
  Isaac Corley, Simone Fobi Nsutezo, Anthony Ortiz, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2025
  
  Publication PDF DOI
- TorchGeo: Deep Learning With Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM Transactions on Spatial Algorithms and Systems | January 2025
  
  Publication PDF
- PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery
  
  Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
  
  Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
  
  Publication Project Project
- Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  December 2024
  
  Publication PDF Project Project
- Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery
  
  Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
  
  March 2024
  
  Publication Project Project
- A Change Detection Reality Check
  
  Isaac Corley, Caleb Robinson, Anthony Ortiz
  
  February 2024
  
  Preprint DOI Project
- Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
  
  Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
  
  February 2024
  
  Preprint DOI Project
- Datasets and Foundation Models for Landsat Imagery
  
  Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
  
  Advances in Neural Information Processing Systems (NeurIPS 2023) | December 2023
  
  Publication Project Project
- Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
  
  Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  May 2023
  
  Publication Project
- Mask Conditional Synthetic Satellite Imagery
  
  Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson
  
  ICLR 2023 Machine Learning for Remote Sensing Workshop | May 2023
  
  Publication Project
- On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach
  
  Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres
  
  International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022
  
  Publication PDF Project
- TorchGeo: Deep Learning with Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM SIGSPATIAL 2022 | November 2022
  
  Nominated for best paper
  
  Publication Preprint Project
- Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery
  
  Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan M. Lavista Ferres
  
  NeurIPS AI+HADR Workshop 2022 | November 2022
  
  Publication Project
- Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery
  
  Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458
  
  Publication Preprint Project
- Fast Building Segmentation From Satellite Imagery and Few Local Labels
  
  Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
  
  CVPR 2022 | June 2022
  
  Publication PDF Project
- The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
  
  Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
  
  Publication Project
- Detecting Cattle and Elk in the Wild from Space
  
  Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres
  
  June 2021
  
  KDD 2021 Fragile Earth Workshop
  
  Preprint Project Project
- Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest
  
  Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | March 2021, Vol 14: pp. 3185-3199
  
  Publication Project
- High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
  
  Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
  
  January 2021
  
  Publication Project Project
- Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
  
  Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
  
  1st place in 2020 IEEE GRSS Data Fusion Contest
  
  Publication Project
- Local Context Normalization: Revisiting Local Normalization
  
  Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
  
  CVPR 2020 | June 2020
  
  Publication Preprint PDF Project
- Human-Machine Collaboration for Fast Land Cover Mapping
  
  Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
  
  AAAI 2020 | April 2020
  
  Publication Preprint PDF Project Project
- Sims: An Interactive Tool for Geospatial Matching and Clustering
  
  Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres
  
  PLOS One | April 2026
  
  Publication DOI PDF Project Project
- Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India
  
  Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres
  
  AAAI Conference on Artificial Intelligence (AAAI-26) | March 2026
  
  Publication PDF DOI Preprint
- GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models
  
  Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Caleb Robinson, Akram Zaytar, Rahul Dodhia, Juan M. Lavista Ferres
  
  May 2025
  
  Publication
- Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning
  
  Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
  
  Sustainable Transition with AI workshop at IJCAI 2024 | April 2025
  
  Publication
- Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
  
  Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
  
  Proceedings of the AAAI Conference on Artificial Intelligence | April 2025
  
  Publication Project
- Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
  
  Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres
  
  CVPR Workshop | December 2024
  
  Publication Project Project
- Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  December 2024
  
  Publication PDF Project Project
- A Change Detection Reality Check
  
  Isaac Corley, Caleb Robinson, Anthony Ortiz
  
  February 2024
  
  Preprint DOI Project
- Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
  
  Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
  
  February 2024
  
  Preprint DOI Project
- Weak labeling for cropland mapping in Africa
  
  Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood
  
  January 2024
  
  Preprint DOI Project
- Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
  
  Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2024
  
  Preprint DOI Project
- The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
  
  Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
  
  Land | November 2023
  
  Publication DOI Project Project
- Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event
  
  Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
  
  June 2023
  
  Publication PDF Project
- A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
  
  Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
  
  Journal of Marine Science & Engineering | March 2023
  
  Publication Project Project
- TorchGeo: Deep Learning with Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM SIGSPATIAL 2022 | November 2022
  
  Nominated for best paper
  
  Publication Preprint Project
- Mapping Glacial Lakes Using Historically Guided Segmentation Models
  
  Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
  
  Publication Project Project Project
- An Artificial Intelligence Dataset for Solar Energy Locations in India
  
  Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
  
  Scientific Data | August 2022, Vol 9(1): pp. 1-13
  
  Publication PDF Project Project
- Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery
  
  Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458
  
  Publication Preprint Project
- The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
  
  Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
  
  Publication Project
- From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery
  
  Nebojsa Jojic, Kolya Malkin, Caleb Robinson, Anthony Ortiz
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | July 2021
  
  Publication Project Project
- Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
  
  Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon Anderson, Daniel E. Ho
  
  ACM COMPASS 2021 | June 2021
  
  Honorable mention for best paper
  
  Publication Preprint Project
- Detecting Cattle and Elk in the Wild from Space
  
  Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres
  
  June 2021
  
  KDD 2021 Fragile Earth Workshop
  
  Preprint Project Project
- Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest
  
  Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | March 2021, Vol 14: pp. 3185-3199
  
  Publication Project
- Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data
  
  Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres
  
  IAAI’21 | February 2021
  
  Publication PDF Project
- Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
  
  Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
  
  NeurIPS CCAI | December 2020
  
  Publication PDF Project Project
- Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
  
  Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
  
  1st place in 2020 IEEE GRSS Data Fusion Contest
  
  Publication Project
- Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
  
  Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
  
  CVPR 2019 | May 2019
  
  Publication PDF Project Project
- Human-Machine Collaboration for Fast Land Cover Mapping
  
  Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
  
  AAAI 2020 | April 2020
  
  Publication Preprint PDF Project Project

- HASTE: A Platform for Rapid Post-Disaster Building Damage Assessment
  
  Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Cameron Birge, Meygha Machado, Marcelo Duarte, Joaquin Rivero Rodriguez, Anthony Cintron Roman, Kevin White, Inbal Becker-Reshef, Juan M. Lavista Ferres
  
  July 2026
  
  PDF
- The first global agricultural field boundary map at 10m resolution
  
  Caleb Robinson, Gedeon Muhawenayo, Subash Khanal, Zhanpei Fang, Isaac Corley, Ana M. Tárano, Lyndon Estes, Jennifer Marcus, Nathan Jacobs, Hannah Kerner, Inbal Becker-Reshef, Juan M. Lavista Ferres
  
  April 2026
  
  Publication
- GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models
  
  Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Caleb Robinson, Akram Zaytar, Rahul Dodhia, Juan M. Lavista Ferres
  
  May 2025
  
  Publication
- FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing
  
  Isaac Corley, Simone Fobi Nsutezo, Anthony Ortiz, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2025
  
  Publication PDF DOI
- Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  December 2024
  
  Publication PDF Project Project
- Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery
  
  Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
  
  March 2024
  
  Publication Project Project
- A Change Detection Reality Check
  
  Isaac Corley, Caleb Robinson, Anthony Ortiz
  
  February 2024
  
  Preprint DOI Project
- Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
  
  Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
  
  February 2024
  
  Preprint DOI Project
- Weak labeling for cropland mapping in Africa
  
  Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood
  
  January 2024
  
  Preprint DOI Project
- Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
  
  Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2024
  
  Preprint DOI Project
- Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event
  
  Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
  
  June 2023
  
  Publication PDF Project
- Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
  
  Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  May 2023
  
  Publication Project
- Detecting Cattle and Elk in the Wild from Space
  
  Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres
  
  June 2021
  
  KDD 2021 Fragile Earth Workshop
  
  Preprint Project Project
- High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
  
  Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
  
  January 2021
  
  Publication Project Project
- Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India
  
  Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres
  
  AAAI Conference on Artificial Intelligence (AAAI-26) | March 2026
  
  Publication PDF DOI Preprint
- Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning
  
  Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
  
  Sustainable Transition with AI workshop at IJCAI 2024 | April 2025
  
  Publication
- Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
  
  Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
  
  Proceedings of the AAAI Conference on Artificial Intelligence | April 2025
  
  Publication Project
- PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery
  
  Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
  
  Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
  
  Publication Project Project
- Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
  
  Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres
  
  CVPR Workshop | December 2024
  
  Publication Project Project
- Datasets and Foundation Models for Landsat Imagery
  
  Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
  
  Advances in Neural Information Processing Systems (NeurIPS 2023) | December 2023
  
  Publication Project Project
- Mask Conditional Synthetic Satellite Imagery
  
  Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson
  
  ICLR 2023 Machine Learning for Remote Sensing Workshop | May 2023
  
  Publication Project
- On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach
  
  Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres
  
  International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022
  
  Publication PDF Project
- TorchGeo: Deep Learning with Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM SIGSPATIAL 2022 | November 2022
  
  Nominated for best paper
  
  Publication Preprint Project
- Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery
  
  Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan M. Lavista Ferres
  
  NeurIPS AI+HADR Workshop 2022 | November 2022
  
  Publication Project
- Fast Building Segmentation From Satellite Imagery and Few Local Labels
  
  Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
  
  CVPR 2022 | June 2022
  
  Publication PDF Project
- From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery
  
  Nebojsa Jojic, Kolya Malkin, Caleb Robinson, Anthony Ortiz
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | July 2021
  
  Publication Project Project
- Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
  
  Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon Anderson, Daniel E. Ho
  
  ACM COMPASS 2021 | June 2021
  
  Honorable mention for best paper
  
  Publication Preprint Project
- Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data
  
  Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres
  
  IAAI’21 | February 2021
  
  Publication PDF Project
- Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
  
  Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
  
  NeurIPS CCAI | December 2020
  
  Publication PDF Project Project
- Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
  
  Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
  
  1st place in 2020 IEEE GRSS Data Fusion Contest
  
  Publication Project
- Local Context Normalization: Revisiting Local Normalization
  
  Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
  
  CVPR 2020 | June 2020
  
  Publication Preprint PDF Project
- Human-Machine Collaboration for Fast Land Cover Mapping
  
  Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
  
  AAAI 2020 | April 2020
  
  Publication Preprint PDF Project Project
- Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
  
  Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
  
  CVPR 2019 | May 2019
  
  Publication PDF Project Project
- Sims: An Interactive Tool for Geospatial Matching and Clustering
  
  Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres
  
  PLOS One | April 2026
  
  Publication DOI PDF Project Project
- Core-Set Selection for Data-efficient Land Cover Segmentation
  
  Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakuş, Paul L Rosin
  
  IEEE Access | January 2026
  
  Publication PDF DOI
- Enhancing Food Security with High-Quality Land-Use and Land-Cover Maps: A Local Model Approach
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | June 2025
  
  Publication
- TorchGeo: Deep Learning With Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM Transactions on Spatial Algorithms and Systems | January 2025
  
  Publication PDF
- The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
  
  Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
  
  Land | November 2023
  
  Publication DOI Project Project
- A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
  
  Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
  
  Journal of Marine Science & Engineering | March 2023
  
  Publication Project Project
- Mapping Glacial Lakes Using Historically Guided Segmentation Models
  
  Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
  
  Publication Project Project Project
- An Artificial Intelligence Dataset for Solar Energy Locations in India
  
  Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
  
  Scientific Data | August 2022, Vol 9(1): pp. 1-13
  
  Publication PDF Project Project
- Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery
  
  Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458
  
  Publication Preprint Project
- The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
  
  Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
  
  Publication Project
- 2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good
  
  Naoto Yokoya, Pedram Ghamisi, Ronny Hansch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, Nebojsa Jojic
  
  IEEE Geoscience and Remote Sensing Magazine | March 2021, Vol 9(1): pp. 287-C3
  
  Publication PDF Project Project
- Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest
  
  Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | March 2021, Vol 14: pp. 3185-3199
  
  Publication Project

Geospatial Machine Learning

Publications

HASTE: A Platform for Rapid Post-Disaster Building Damage Assessment

The first global agricultural field boundary map at 10m resolution

Sims: An Interactive Tool for Geospatial Matching and Clustering

Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India

Core-Set Selection for Data-efficient Land Cover Segmentation

Enhancing Food Security with High-Quality Land-Use and Land-Cover Maps: A Local Model Approach

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models

Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning

Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation

FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery

TorchGeo: Deep Learning With Geospatial Data

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery

A Change Detection Reality Check

Mission Critical — Satellite Data is a Distinct Modality in Machine Learning

Weak labeling for cropland mapping in Africa

Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery

Datasets and Foundation Models for Landsat Imagery

The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands

Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event

Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters

Mask Conditional Synthetic Satellite Imagery

A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space

On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach

TorchGeo: Deep Learning with Geospatial Data

Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery

Mapping Glacial Lakes Using Historically Guided Segmentation Models

An Artificial Intelligence Dataset for Solar Energy Locations in India

Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery

Fast Building Segmentation From Satellite Imagery and Few Local Labels

The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection

From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery

Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery

Detecting Cattle and Elk in the Wild from Space

2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good

Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest

Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data

High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest

Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya

Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest

Local Context Normalization: Revisiting Local Normalization

Human-Machine Collaboration for Fast Land Cover Mapping

Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data

HASTE: A Platform for Rapid Post-Disaster Building Damage Assessment

Sims: An Interactive Tool for Geospatial Matching and Clustering

Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India

Core-Set Selection for Data-efficient Land Cover Segmentation

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models

Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning

Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation

FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing

TorchGeo: Deep Learning With Geospatial Data

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery

A Change Detection Reality Check

Mission Critical — Satellite Data is a Distinct Modality in Machine Learning

Weak labeling for cropland mapping in Africa

Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery

Datasets and Foundation Models for Landsat Imagery

The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands

Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event

Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters

A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space

Mapping Glacial Lakes Using Historically Guided Segmentation Models

The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection

2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good

Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest

Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data

High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest

Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya

Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest

Local Context Normalization: Revisiting Local Normalization

Human-Machine Collaboration for Fast Land Cover Mapping

Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data