Add Sarwar et al. PLOS Water publication

publications.csv

@@ -1,4 +1,5 @@
 ID,NAME,AUTHOR,LINK,CITATION,ABSTRACT,DATE,TAGS,LOCATION
+agricultural-consumptive-use-patterns-santa-clara-valley,Identifying agricultural consumptive-use patterns to support adaptive water management in California's Santa Clara Valley via remote sensing and machine learning,abid-sarwar;josue-medellin-azuara;john-abatzoglou;josh-viers,https://doi.org/10.1371/journal.pwat.0000416,"Sarwar, A., Medellín-Azuara, J., Abatzoglou, J. T., & Viers, J. H. (2026). Identifying agricultural consumptive-use patterns to support adaptive water management in California's Santa Clara Valley via remote sensing and machine learning. PLOS Water, 5(7), e0000416. https://doi.org/10.1371/journal.pwat.0000416","This study applies unsupervised machine learning to remotely sensed data from 2019–2023 to identify parcel-scale agricultural consumptive-use patterns in California's Santa Clara Valley. Using Sentinel-2 vegetation indices, OpenET actual evapotranspiration, and PRISM precipitation across 2,189 parcels, the authors identify 13 distinct clusters within truck crops, vineyards, and hay crops, revealing substantial water-use variation hidden by conventional crop averages. The results show that combining vegetation and evapotranspiration information improves separation among management groups and can support customized irrigation monitoring, conservation planning, and adaptive water management in groundwater-dependent agricultural regions.",2026,agriculture;water-management;remote-sensing;ai;evapotranspiration;irrigation;groundwater,california;santa-clara-valley;united-states
 advancing-digital-agriculture-spatio-temporal-data-architecture,Advancing Digital Agriculture with a Flexible Spatio-Temporal Data Architecture for Long-Term Research and Management,leigh-bernacchi;josh-viers,https://doi.org/10.1109/SusTech67720.2026.11536191,"Silberman, E., Gibson, K., Bernacchi, L. A., & Viers, J. H. (2026). Advancing Digital Agriculture with a Flexible Spatio-Temporal Data Architecture for Long-Term Research and Management. 2026 IEEE Conference on Technologies for Sustainability (SusTech). https://doi.org/10.1109/SusTech67720.2026.11536191","This paper presents FarmKit, a research-grade agricultural data platform that separates persistent field geometries from temporal crop seasons in a unified spatial database. Built with PostGIS and Supabase, the deployed system manages 28 field geometries across 27 acres, tracks 480 soil samples from 230 georeferenced locations with chain-of-custody, and serves 74 GiB of multispectral drone imagery through TiTiler-backed services. The architecture reduces fragmented workflows and data loss caused by researcher turnover, preserves institutional knowledge, and supports consistent long-term, interdisciplinary research into sustainable agriculture.",2026,agriculture;information-systems;technology;gis;remote-sensing;ai,california;central-valley;united-states
 cultivating-collaborative-water-leaders,Cultivating Collaborative Water Leaders: The Power of Experiential Learning,jack-severson;josh-viers,https://doi.org/10.1111/1752-1688.70123,"Cliburn, C., Schumacher, B. L., Waldman, K. Z., Rothberg, D., Gomez-Cervantes, A., Hashemi, M., Duran-Gomez, M. R., Murdoch, L., Severson, J., Parker, L. E., & Viers, J. H. (2026). Cultivating Collaborative Water Leaders: The Power of Experiential Learning. Journal of the American Water Resources Association, 62(3), e70123. https://doi.org/10.1111/1752-1688.70123","Water systems across the American West face mounting stress as climate change accelerates aridification and competition grows over scarce supplies, yet siloed governance and disciplinary divides hinder innovative management. This paper examines how experiential, place-based learning—exemplified by the Secure Water Future Climate Adaptation Science Academy—cultivates collaborative, transdisciplinary water leaders prepared to navigate complex water challenges. Drawing on multiple cohorts of graduate students immersed in field-based study across diverse landscapes, the authors describe pedagogical approaches that build technical fluency, systems thinking, and the relational skills needed for collaborative water governance.",2026,water-management;communities;adaptation;climate-change;technology,western-united-states;california;united-states
 nature-based-solutions-multibenefit-conservation-planning,"Nature-based Solutions to Reduce Carbon Emissions, Control Groundwater Overdraft, and Conserve Avian Biodiversity with Multi-Benefit Conservation Planning",erin-hestir;josh-viers;john-abatzoglou;josue-medellin-azuara,https://doi.org/10.1016/j.indic.2026.101180,"Li, L., Hestir, E., Viers, J. H., Rodriguez-Flores, J. M., Abatzoglou, J. T., Haw, W., & Medellín-Azuara, J. (2026). Nature-based Solutions to Reduce Carbon Emissions, Control Groundwater Overdraft, and Conserve Avian Biodiversity with Multi-Benefit Conservation Planning. Environmental and Sustainability Indicators, 30, 101180. https://doi.org/10.1016/j.indic.2026.101180","This study applies multi-benefit conservation planning in California's Central Valley to identify land and water management strategies that simultaneously reduce agricultural carbon emissions, curb groundwater overdraft, and conserve avian biodiversity. Using coupled economic and biophysical optimization, it shows that strategically repurposing land and reallocating water can deliver climate, groundwater, and habitat co-benefits rather than forcing trade-offs among them, offering a nature-based pathway to climate-resilient agricultural landscapes.",2026,nature-based-solutions;groundwater;biodiversity;carbon-storage;climate-change;agriculture;water-management;modeling,central-valley;california;united-states