Advance sustainability

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

September 2024

Preprint Project

New frontiers in AI for biodiversity research and conservation with multimodal language models

Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres

August 2024

Preprint Publication

Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development

Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi

Frontiers in Environmental Science | April 2024

Publication DOI

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

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

Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition

Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres

NeurIPS 2023 | November 2023

Publication PDF 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

Zero-Shot Transfer for Wildlife Bioacoustics Detection

Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres

August 2023

Preprint DOI Project

Nature dependent tourism – Combining big data and local knowledge

Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner

Journal of Environmental Management | April 2023

Publication DOI PDF

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi

March 2023

Publication

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

Social Connectedness and Movements Among Communities of Giraffes Vary by Sex and Age Class

Juan M. Lavista Ferres, Derek E. Lee, Md Nasir, Yu-Chia Chen, Avleen Bijral, Fred B. Bercovitch, Monica L. Bond

Animal Behaviour | October 2021

Publication Project

Acoustic Detection of Regionally Rare Bird Species Through Deep Convolutional Neural Networks

Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres

Ecological Informatics | September 2021, Vol 64

Publication Project Project

Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification

Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres

Scientific Reports | August 2021

Publication PDF Project 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

Detecting, Classifying, and Counting Blue Whale Calls with Siamese Neural Networks

Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres

The Journal of the Acoustical Society of America | May 2021

Publication Github 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

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

A Deep Active Learning System for Species Identification and Counting in Camera Trap Images

Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune

Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161

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

A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network

Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev , Rahul Dodhia, Juan M. Lavista Ferres, Mitchell Aidead

Science Direct | September 2020

Publication Project Project

Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling

Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide

Applied Acoustics | September 2020, Vol 166

Publication Project Project

Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | March 2020, Vol 147(3)

Publication Project Project

Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089

Publication Project Project

Efficient Pipeline for Camera Trap Image Review

Sara Beery, Dan Morris, Siyu Yang

July 2019

Publication Project

Efficient Pipeline for Automating Species ID in new Camera Trap Projects

Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi

Biodiversity Information Science and Standards | June 2019

DOI PDF Project

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

September 2024

Preprint Project

New frontiers in AI for biodiversity research and conservation with multimodal language models

Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres

August 2024

Preprint Publication

Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development

Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi

Frontiers in Environmental Science | April 2024

Publication DOI

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

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

Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition

Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres

NeurIPS 2023 | November 2023

Publication PDF 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

Zero-Shot Transfer for Wildlife Bioacoustics Detection

Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres

August 2023

Preprint DOI Project

Nature dependent tourism – Combining big data and local knowledge

Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner

Journal of Environmental Management | April 2023

Publication DOI PDF

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi

March 2023

Publication

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

Acoustic Detection of Regionally Rare Bird Species Through Deep Convolutional Neural Networks

Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres

Ecological Informatics | September 2021, Vol 64

Publication Project Project

Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification

Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres

Scientific Reports | August 2021

Publication PDF Project Project

Detecting, Classifying, and Counting Blue Whale Calls with Siamese Neural Networks

Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres

The Journal of the Acoustical Society of America | May 2021

Publication Github 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

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

A Deep Active Learning System for Species Identification and Counting in Camera Trap Images

Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune

Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161

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

Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling

Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide

Applied Acoustics | September 2020, Vol 166

Publication Project Project

Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | March 2020, Vol 147(3)

Publication Project Project

Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089

Publication Project Project

Efficient Pipeline for Camera Trap Image Review

Sara Beery, Dan Morris, Siyu Yang

July 2019

Publication Project

Efficient Pipeline for Automating Species ID in new Camera Trap Projects

Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi

Biodiversity Information Science and Standards | June 2019

DOI PDF Project

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

September 2024

Preprint Project

New frontiers in AI for biodiversity research and conservation with multimodal language models

Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres

August 2024

Preprint Publication

Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development

Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi

Frontiers in Environmental Science | April 2024

Publication DOI

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

Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition

Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres

NeurIPS 2023 | November 2023

Publication PDF 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

Zero-Shot Transfer for Wildlife Bioacoustics Detection

Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres

August 2023

Preprint DOI Project

Nature dependent tourism – Combining big data and local knowledge

Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner

Journal of Environmental Management | April 2023

Publication DOI PDF

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi

March 2023

Publication

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

Social Connectedness and Movements Among Communities of Giraffes Vary by Sex and Age Class

Juan M. Lavista Ferres, Derek E. Lee, Md Nasir, Yu-Chia Chen, Avleen Bijral, Fred B. Bercovitch, Monica L. Bond

Animal Behaviour | October 2021

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

A Deep Active Learning System for Species Identification and Counting in Camera Trap Images

Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune

Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161

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

A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network

Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev , Rahul Dodhia, Juan M. Lavista Ferres, Mitchell Aidead

Science Direct | September 2020

Publication Project Project

Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling

Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide

Applied Acoustics | September 2020, Vol 166

Publication Project Project

Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | March 2020, Vol 147(3)

Publication Project Project

Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089

Publication Project Project

Efficient Pipeline for Camera Trap Image Review

Sara Beery, Dan Morris, Siyu Yang

July 2019

Publication Project

Efficient Pipeline for Automating Species ID in new Camera Trap Projects

Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi

Biodiversity Information Science and Standards | June 2019

DOI PDF 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

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

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

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

Efficient Pipeline for Camera Trap Image Review

Sara Beery, Dan Morris, Siyu Yang

July 2019

Publication Project

Zero-Shot Transfer for Wildlife Bioacoustics Detection

Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres

August 2023

Preprint DOI Project

Acoustic Detection of Regionally Rare Bird Species Through Deep Convolutional Neural Networks

Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres

Ecological Informatics | September 2021, Vol 64

Publication Project Project

Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification

Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres

Scientific Reports | August 2021

Publication PDF Project Project

Detecting, Classifying, and Counting Blue Whale Calls with Siamese Neural Networks

Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres

The Journal of the Acoustical Society of America | May 2021

Publication Github Project Project

Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling

Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide

Applied Acoustics | September 2020, Vol 166

Publication Project Project

Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089

Publication Project Project

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

September 2024

Preprint Project

New frontiers in AI for biodiversity research and conservation with multimodal language models

Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres

August 2024

Preprint Publication

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

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

Zero-Shot Transfer for Wildlife Bioacoustics Detection

Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres

August 2023

Preprint DOI Project

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi

March 2023

Publication

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

Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development

Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi

Frontiers in Environmental Science | April 2024

Publication DOI

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

Nature dependent tourism – Combining big data and local knowledge

Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner

Journal of Environmental Management | April 2023

Publication DOI PDF

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

Social Connectedness and Movements Among Communities of Giraffes Vary by Sex and Age Class

Juan M. Lavista Ferres, Derek E. Lee, Md Nasir, Yu-Chia Chen, Avleen Bijral, Fred B. Bercovitch, Monica L. Bond

Animal Behaviour | October 2021

Publication Project

Acoustic Detection of Regionally Rare Bird Species Through Deep Convolutional Neural Networks

Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres

Ecological Informatics | September 2021, Vol 64

Publication Project Project

Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification

Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres

Scientific Reports | August 2021

Publication PDF Project Project

Detecting, Classifying, and Counting Blue Whale Calls with Siamese Neural Networks

Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres

The Journal of the Acoustical Society of America | May 2021

Publication Github 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

A Deep Active Learning System for Species Identification and Counting in Camera Trap Images

Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune

Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161

Publication PDF Project

A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network

Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev , Rahul Dodhia, Juan M. Lavista Ferres, Mitchell Aidead

Science Direct | September 2020

Publication Project Project

Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling

Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide

Applied Acoustics | September 2020, Vol 166

Publication Project Project

Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | March 2020, Vol 147(3)

Publication Project Project

Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089

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

Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition

Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres

NeurIPS 2023 | November 2023

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

Efficient Pipeline for Automating Species ID in new Camera Trap Projects

Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi

Biodiversity Information Science and Standards | June 2019

DOI PDF Project

Efficient Pipeline for Camera Trap Image Review

Sara Beery, Dan Morris, Siyu Yang

July 2019

Publication Project