2026
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Maurya, L; Kaushik, S; Tellman, B: GLACIA: Instance-Aware Positional Reasoning for Glacial Lake Segmentation via Multimodal Large Language Model. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026. @inproceedings{maurya2026glacia,
title = {GLACIA: Instance-Aware Positional Reasoning for Glacial Lake Segmentation via Multimodal Large Language Model},
author = {L Maurya and S Kaushik and B Tellman},
url = {https://arxiv.org/abs/2512.09251},
year = {2026},
date = {2026-01-01},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Kaushik, S; Maurya, L; Tellman, B: Prithvi-Complimentary Adaptive Fusion Encoder (CAFE): Unlocking Full-Potential for Flood Inundation Mapping. In: arXiv preprint arXiv:2601.02315, 2026. @article{kaushik2026cafe,
title = {Prithvi-Complimentary Adaptive Fusion Encoder (CAFE): Unlocking Full-Potential for Flood Inundation Mapping},
author = {S Kaushik and L Maurya and B Tellman},
url = {https://arxiv.org/abs/2601.02315},
year = {2026},
date = {2026-01-01},
journal = {arXiv preprint arXiv:2601.02315},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Kaushik, S; Maurya, L; Tellman, B: Cryo-Bench: Benchmarking Foundation Models for Cryosphere Applications. In: arXiv preprint arXiv:2603.01576, 2026. @article{kaushik2026cryobench,
title = {Cryo-Bench: Benchmarking Foundation Models for Cryosphere Applications},
author = {S Kaushik and L Maurya and B Tellman},
url = {https://arxiv.org/abs/2603.01576},
doi = {10.48550/arXiv.2603.01576},
year = {2026},
date = {2026-01-01},
journal = {arXiv preprint arXiv:2603.01576},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Lsoto, D.; Sserunjogi, R.; Okello, G.; Chen, Y.; Patz, J. A.; Schauer, J. J.: A framework for interpreting air pollution sensor data: Bridging gaps in monitoring, analysis and community action. In: Journal of the Air & Waste Management Association, 2026. @article{Lsoto2026AirPollution,
title = {A framework for interpreting air pollution sensor data: Bridging gaps in monitoring, analysis and community action},
author = {D. Lsoto and R. Sserunjogi and G. Okello and Y. Chen and J. A. Patz and J. J. Schauer},
url = {https://scholar.google.com/citations?view_op=view_citation&citation_for_view=uLr2cnMAAAAJ:PkcyUWeTMh0C},
year = {2026},
date = {2026-01-01},
journal = {Journal of the Air & Waste Management Association},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Phalke, Aparna R.; Özdoğan, Mutlu; Filchev, Lachezar H.: The Peak Value Method (PVM): A Phenology-Guided, Training-Independent Approach for Large-Area Time-Series Winter Wheat Mapping in the Cross-Border Region Between Bulgaria and Türkiye. In: IEEE Transactions on Geoscience and Remote Sensing, vol. 64, pp. 1-17, 2026. @article{11343849,
title = {The Peak Value Method (PVM): A Phenology-Guided, Training-Independent Approach for Large-Area Time-Series Winter Wheat Mapping in the Cross-Border Region Between Bulgaria and Türkiye},
author = {Aparna R. Phalke and Mutlu Özdoğan and Lachezar H. Filchev},
doi = {10.1109/TGRS.2026.3652492},
year = {2026},
date = {2026-01-01},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
volume = {64},
pages = {1-17},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Kimambo, N.; Gallop, M.; Gu, D.; Radeloff, V.; Sangalali, E.; Naughton-Treves, L.: Obvious and obscure actors are planting trees in rural Africa. In: Environmental Research Letters, vol. 21, no. 1, pp. 014015, 2026. @article{Kimambo2026AfricaTrees,
title = {Obvious and obscure actors are planting trees in rural Africa},
author = {N. Kimambo and M. Gallop and D. Gu and V. Radeloff and E. Sangalali and L. Naughton-Treves},
doi = {10.1088/1748-9326/ad9968},
year = {2026},
date = {2026-01-01},
journal = {Environmental Research Letters},
volume = {21},
number = {1},
pages = {014015},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Buchner, J.; Lewińska, K. E.; Butsic, V.; Buřivalová, Z.; Ghoddousi, A.; Rogova, N.; Radeloff, V. C.: Assessing the effectiveness of strictly protected areas in preventing forest loss and degradation across different forest types in the Caucasus. In: Biological Conservation, vol. 315, pp. 111685, 2026. @article{Buchner2026Caucasus,
title = {Assessing the effectiveness of strictly protected areas in preventing forest loss and degradation across different forest types in the Caucasus},
author = {J. Buchner and K. E. Lewińska and V. Butsic and Z. Buřivalová and A. Ghoddousi and N. Rogova and V. C. Radeloff},
doi = {10.1016/j.biocon.2025.111685},
year = {2026},
date = {2026-01-01},
journal = {Biological Conservation},
volume = {315},
pages = {111685},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2025
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Sarzaeim, Parisa; Bulltail, Grace: Evaluation of FAIR Principles in Indigenous Water-Climate-Environment (WCE) Data Repositories. In: Data Science Journal, vol. 24, no. 31, 2025. @article{Sarzaeim2025Evaluation,
title = {Evaluation of FAIR Principles in Indigenous Water-Climate-Environment (WCE) Data Repositories},
author = {Parisa Sarzaeim and Grace Bulltail},
url = {https://doi.org/10.5334/dsj-2025-031},
year = {2025},
date = {2025-11-01},
journal = {Data Science Journal},
volume = {24},
number = {31},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Rizzotto, Julia S.; Sims, Kaitlyn M.; Gibbs, Holly K.: Hot tempers: Differential effects of heat and drought on domestic violence. In: Review of Economics of the Household , 2025. @article{Rizzotto2025,
title = {Hot tempers: Differential effects of heat and drought on domestic violence},
author = {Julia S. Rizzotto and Kaitlyn M. Sims and Holly K. Gibbs},
doi = { https://doi.org/10.1007/s11150-025-09806-0},
year = {2025},
date = {2025-09-12},
urldate = {2025-09-12},
journal = { Review of Economics of the Household },
abstract = {Domestic violence (DV)–patterns of physical, sexual, economic, or psychological abuse by intimate partners and family members–persists as a serious national issue in Brazil despite public efforts to eliminate it. While the risk factors for and consequences of such violence are well studied, less is known about the potential impacts of global climate change on patterns of DV. Extreme weather (periods of extreme heat and prolonged drought) may impact patterns of DV through changing stress levels and agricultural household incomes. We test for such a relationship using administrative data from hospital reports, hotline calls, and female homicides, alongside weather and land use data. Our findings reveal a statistically significant, positive effect of higher daily maximum temperatures on violence but less evidence for a short- or long-run impact of rainfall. The results are consistent across different outcome variables and levels of aggregation, suggesting that climate change may exacerbate the risk of heat stress-related DV. Public policy should consider potential protective measures to insulate vulnerable households against extreme heat-related violence and consider the costs of interpersonal violence in analysis of climate change impacts.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Domestic violence (DV)–patterns of physical, sexual, economic, or psychological abuse by intimate partners and family members–persists as a serious national issue in Brazil despite public efforts to eliminate it. While the risk factors for and consequences of such violence are well studied, less is known about the potential impacts of global climate change on patterns of DV. Extreme weather (periods of extreme heat and prolonged drought) may impact patterns of DV through changing stress levels and agricultural household incomes. We test for such a relationship using administrative data from hospital reports, hotline calls, and female homicides, alongside weather and land use data. Our findings reveal a statistically significant, positive effect of higher daily maximum temperatures on violence but less evidence for a short- or long-run impact of rainfall. The results are consistent across different outcome variables and levels of aggregation, suggesting that climate change may exacerbate the risk of heat stress-related DV. Public policy should consider potential protective measures to insulate vulnerable households against extreme heat-related violence and consider the costs of interpersonal violence in analysis of climate change impacts. |
Joseph App Clare C. Sullivan, Lisa L. Rausch a; Gibbs, Holly K.: Can zero deforestation agreements in the cattle sector protect Colombia’s forests and paramos?. In: Global Environmental Change, vol. 95, no. 103055, 2025. @article{Sullivan2025,
title = {Can zero deforestation agreements in the cattle sector protect Colombia’s forests and paramos?},
author = {Clare C. Sullivan , Joseph App , Lisa L. Rausch a, , Steven Sotelo , Daisy Tarrier , Miguel Angel Viancha Pinzon and Holly K. Gibbs
},
doi = {https://doi.org/10.1016/j.gloenvcha.2025.103055},
year = {2025},
date = {2025-09-10},
urldate = {2025-09-10},
journal = {Global Environmental Change},
volume = {95},
number = {103055},
abstract = {Zero Deforestation Agreements (ZDAs) for the beef and dairy sectors in Colombia could curb land cover change in the country’s highly biodiverse tropical forests and páramos. Improved understanding of the structure of the cattle supply chain and the ZDAs’ potential area of influence can help target companies with high-risk supply chains, inform implementation, and set realistic expectations for the ZDAs contribution to conservation goals for forest and páramos. We provide the first map of infrastructure for the beef and dairy sectors and link this to a dataset of cattle transactions to delineate “supply zones” or potential buying areas for each slaughterhouse and dairy. We use these supply zones to assess three spatially explicit scenarios of the potential reach of the ZDAs with expanded participation. At present, ZDA signatories’ supply zones cover 10.4 Mha or 23% of Colombia’s forests, with a large area of influence associated with beef sector signatories. Participation of all major companies could nearly double the ZDAs reach to include 41% of forests, and full participation could reach 49% of forests. The dairy ZDA also targets high alpine páramos, and 57% of unprotected páramos are within signatories’ supply zones. Full participation could support the conservation of 96% of this unique ecosystem. We found that indirect animal movements make up 80% of the supply chain, so policy implementation will depend on monitoring and traceability systems that go beyond suppliers selling directly to slaughterhouses or dairies. More companies must participate and effectively implement the ZDAs to realize this conservation potential.
},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Zero Deforestation Agreements (ZDAs) for the beef and dairy sectors in Colombia could curb land cover change in the country’s highly biodiverse tropical forests and páramos. Improved understanding of the structure of the cattle supply chain and the ZDAs’ potential area of influence can help target companies with high-risk supply chains, inform implementation, and set realistic expectations for the ZDAs contribution to conservation goals for forest and páramos. We provide the first map of infrastructure for the beef and dairy sectors and link this to a dataset of cattle transactions to delineate “supply zones” or potential buying areas for each slaughterhouse and dairy. We use these supply zones to assess three spatially explicit scenarios of the potential reach of the ZDAs with expanded participation. At present, ZDA signatories’ supply zones cover 10.4 Mha or 23% of Colombia’s forests, with a large area of influence associated with beef sector signatories. Participation of all major companies could nearly double the ZDAs reach to include 41% of forests, and full participation could reach 49% of forests. The dairy ZDA also targets high alpine páramos, and 57% of unprotected páramos are within signatories’ supply zones. Full participation could support the conservation of 96% of this unique ecosystem. We found that indirect animal movements make up 80% of the supply chain, so policy implementation will depend on monitoring and traceability systems that go beyond suppliers selling directly to slaughterhouses or dairies. More companies must participate and effectively implement the ZDAs to realize this conservation potential.
|
Lynch, Victoria; Sullivan, Jonathan; Flores, Aaron; Xie, Xicheng; Aggarwal, Sarika; Nethery, Rachel; Kioumourtzoglou, Marianthi-Anna; Nigra, Anne; Parks, Robbie: Large floods drive changes in cause-specific mortality in the United States. In: Nature Medicine, vol. 31, pp. 663-671, 2025. @article{articleh,
title = {Large floods drive changes in cause-specific mortality in the United States},
author = {Victoria Lynch and Jonathan Sullivan and Aaron Flores and Xicheng Xie and Sarika Aggarwal and Rachel Nethery and Marianthi-Anna Kioumourtzoglou and Anne Nigra and Robbie Parks},
doi = {10.1038/s41591-024-03358-z},
year = {2025},
date = {2025-01-01},
journal = {Nature Medicine},
volume = {31},
pages = {663-671},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Aggarwal, Sarika; Hu, Jie; Sullivan, Jonathan; Parks, Robbie; Nethery, Rachel: Severe flooding and cause-specific hospitalisation among older adults in the USA: a retrospective matched cohort analysis. In: The Lancet Planetary Health, vol. 9, pp. 101268, 2025. @article{articleg,
title = {Severe flooding and cause-specific hospitalisation among older adults in the USA: a retrospective matched cohort analysis},
author = {Sarika Aggarwal and Jie Hu and Jonathan Sullivan and Robbie Parks and Rachel Nethery},
doi = {10.1016/S2542-5196(25)00132-9},
year = {2025},
date = {2025-01-01},
journal = {The Lancet Planetary Health},
volume = {9},
pages = {101268},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Tellman, B; Belury, L; Zhang, Z; Ovienmhada, U; Laurel, A; Buxton, C; others,: Catalyzing Flood Justice with Satellite Observations in Rio Grande Valley, Texas and Across the US. 105th Annual AMS Meeting, 2025, (Conference Abstract). @conference{tellman2025floodjustice,
title = {Catalyzing Flood Justice with Satellite Observations in Rio Grande Valley, Texas and Across the US},
author = {B Tellman and L Belury and Z Zhang and U Ovienmhada and A Laurel and C Buxton and others},
year = {2025},
date = {2025-01-01},
booktitle = {105th Annual AMS Meeting},
note = {Conference Abstract},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Devine, J A; Magliocca, N R; McSweeney, K; Tellman, B; Fagan, M; Sesnie, S E; others,: A Convergence Research Approach to Resolving `Wicked Problems': Lessons from an Interdisciplinary Research Team in Land Use Science. In: Applied Geography, vol. 177, pp. 103538, 2025. @article{devine2025wicked,
title = {A Convergence Research Approach to Resolving `Wicked Problems': Lessons from an Interdisciplinary Research Team in Land Use Science},
author = {J A Devine and N R Magliocca and K McSweeney and B Tellman and M Fagan and S E Sesnie and others},
doi = {10.1016/j.apgeog.2025.103538},
year = {2025},
date = {2025-01-01},
journal = {Applied Geography},
volume = {177},
pages = {103538},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Kettner, A; Gupta, A; Shrestha, M Singh; Trigg, M; Cohen, S; Hawker, L; others,: Devastating Flooding Despite Early Warning: Lessons Learned from the Nepal and Kenya Floods. EGU General Assembly 2025, 2025, (Conference Abstract, EGU25-21199). @conference{kettner2025nepal,
title = {Devastating Flooding Despite Early Warning: Lessons Learned from the Nepal and Kenya Floods},
author = {A Kettner and A Gupta and M Singh Shrestha and M Trigg and S Cohen and L Hawker and others},
year = {2025},
date = {2025-01-01},
booktitle = {EGU General Assembly 2025},
note = {Conference Abstract, EGU25-21199},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Zhang, Z; Giezendanner, J; Mukherjee, R; Tellman, B; Melancon, A; Purri, M; others,: Assessing Inundation Semantic Segmentation Models Trained on High- Versus Low-Resolution Labels Using FloodPlanet, a Manually Labeled Multi-Sourced High-Resolution Flood Dataset. In: Journal of Remote Sensing, vol. 5, pp. 0575, 2025. @article{zhang2025floodplanet,
title = {Assessing Inundation Semantic Segmentation Models Trained on High- Versus Low-Resolution Labels Using FloodPlanet, a Manually Labeled Multi-Sourced High-Resolution Flood Dataset},
author = {Z Zhang and J Giezendanner and R Mukherjee and B Tellman and A Melancon and M Purri and others},
doi = {10.34133/remotesensing.0575},
year = {2025},
date = {2025-01-01},
journal = {Journal of Remote Sensing},
volume = {5},
pages = {0575},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Magliocca, N R; Sink, C D; Devine, J A; Fagan, M E; Aguilar-González, B; others,: A Data Pedigree System to Support Geospatial Analyses of Human–Environment Interactions in Data Poor Contexts. In: International Journal of Geographical Information Science, vol. 39, no. 6, pp. 1223–1246, 2025. @article{magliocca2025pedigree,
title = {A Data Pedigree System to Support Geospatial Analyses of Human–Environment Interactions in Data Poor Contexts},
author = {N R Magliocca and C D Sink and J A Devine and M E Fagan and B Aguilar-González and others},
doi = {10.1080/13658816.2024.2441415},
year = {2025},
date = {2025-01-01},
journal = {International Journal of Geographical Information Science},
volume = {39},
number = {6},
pages = {1223–1246},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Saunders, A; Tellman, B; Benami, E; Anchukaitis, K; Hossain, S; Bennett, A; others,: Sensitivity to Data Choice for Index-Based Flood Insurance. In: Earth's Future, vol. 13, no. 9, pp. e2025EF005966, 2025. @article{saunders2025sensitivity,
title = {Sensitivity to Data Choice for Index-Based Flood Insurance},
author = {A Saunders and B Tellman and E Benami and K Anchukaitis and S Hossain and A Bennett and others},
doi = {10.1029/2025EF005966},
year = {2025},
date = {2025-01-01},
journal = {Earth's Future},
volume = {13},
number = {9},
pages = {e2025EF005966},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Cox, B; Sullivan, J; Tellman, B: Evaluating Multi-Sensor Imagery for Flood Segmentation Using Deep Learning. AGU Fall Meeting 2025, 2025, (Conference Abstract). @conference{cox2025multisensor,
title = {Evaluating Multi-Sensor Imagery for Flood Segmentation Using Deep Learning},
author = {B Cox and J Sullivan and B Tellman},
year = {2025},
date = {2025-01-01},
booktitle = {AGU Fall Meeting 2025},
note = {Conference Abstract},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Tellman, B; Nair, T; Chakrabarti, S; Doyle, C; Thomas, M; Ehsani, M R; others,: AI-Driven Global Parametric Flood Insurance: Synthesizing Satellite, Streamflow, and Rainfall Data with Hydrologic Models. AGU Fall Meeting 2025, 2025, (Conference Abstract). @conference{tellman2025globalparametric,
title = {AI-Driven Global Parametric Flood Insurance: Synthesizing Satellite, Streamflow, and Rainfall Data with Hydrologic Models},
author = {B Tellman and T Nair and S Chakrabarti and C Doyle and M Thomas and M R Ehsani and others},
year = {2025},
date = {2025-01-01},
booktitle = {AGU Fall Meeting 2025},
note = {Conference Abstract},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|