LAGOS-US LANDSAT: Remotely sensed water quality estimates for U.S. lakes over 4 ha from 1984 to 2020 by Patrick J. Hanly, Katherine E. Webster, Patricia A. Soranno

“…Two random forest models were fit for each variable: Holdout-data (75/25 spatially representative train-test split) and Full-data (trained on all data). …”
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A Multi-Modal Attentive Framework That Can Interpret Text (MMAT) by Vijay Kumari, Sarthak Gupta, Yashvardhan Sharma, Lavika Goel

“…Questions such as “What temperature is my oven set to?” need the models to understand objects in the images visually and then spatially identify the text associated with them. …”
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Advances on the Links Between Turbulent and Submeso‐ to Mesoscales During EUREC4A by E. Gauvrit, M.‐N. Bouin, J.‐M. Delouis, F. Boulanger

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MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition by S. Raghavendra, S. K. Abhilash, Venu Madhav Nookala, Jayashree Shetty, Praveen Gurunath Bharathi

“…This study introduces an innovative MTL framework designed to incorporate Multi-Person Attribute Recognition (MPAR) within a single-model architecture. Named MPAR-RCNN, this framework unifies object detection and attribute recognition tasks through a spatially aware, shared backbone, facilitating efficient and accurate multi-label prediction. …”
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Evaluation of potential productivity in coniferous forests by integrating field data and aerial laser scanning in Hidalgo, México by Rodrigo Ramos-Madrigal, Héctor M. de los Santos-Posadas, José René Valdez-Lazalde, Efraín Velasco-Bautista, Gregorio Ángeles-Pérez, Alma Delia Ortiz-Reyes

“…The Hossfeld IV anamorphic model adjusted as MEM and autocorrelation corrected model showed the best performance for predicting DH growth with R2adj of 0.87 and RMSE of 2.11 m. …”
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Unsupervised semantic label generation in agricultural fields by Gianmarco Roggiolani, Julius Rückin, Marija Popović, Jens Behley, Cyrill Stachniss, Cyrill Stachniss

“…Using our generated labels to train deep learning models boosts our prediction performance on previously unseen fields with respect to unseen crop species, growth stages, or different lighting conditions. …”
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Theoretical Studies on the Longitudinal Inhomogeneity of Track Stiffness and a Track Status Estimation Method by Wen Bai, Lei Xu

“…Due to material multiplicity, rigid-flexible hybrid and environmental variations, and so forth, the properties of the tracks will be inevitably changed due to the cyclic loads temporally and spatially. In this paper, a theoretical study is conducted to clarify the influence of the longitudinal inhomogeneity of track stiffness on system responses and then a general state estimation method is proposed to inversely predict the parametric distribution of the tracks. …”
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Ten‐Year Hindcast Assessment of an Improved Probabilistic Forecast System for Cyanotoxin (Microcystins) Risk Level in Lake Erie by Qianqian Liu, Mark D. Rowe, Richard P. Stumpf, Reagan Errera, Casey Godwin, Justin D. Chaffin, Eric J. Anderson, Tongyao Pu

“…This approach combines a 5‐day chlorophyll‐a forecast model, a weekly updated regression model predicting MCs from chlorophyll‐a, and an empirical relationship between predicted MCs and observed probability of MCs exceeding the threshold calibrated over a hindcast period. …”
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Building occupancy type classification and uncertainty estimation using machine learning and open data by Tom Narock, J. Michael Johnson, Justin Singh-Mohudpur, Arash Modaresi Rad

“…We demonstrate how existing open-source datasets can be spatially integrated and subsequently used as training for machine learning (ML) models to predict building occupancy type, a major component needed for disaster preparedness and decision -making. …”
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Elastic energy storage and radial forces in the myofilament lattice depend on sarcomere length. by C David Williams, Michael Regnier, Thomas L Daniel

“…Here we develop a fully three-dimensional spatially explicit model of muscle to isolate the locations of forces and energies that are difficult to separate experimentally. …”
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Power efficiency of outer hair cell somatic electromotility. by Richard D Rabbitt, Sarah Clifford, Kathryn D Breneman, Brenda Farrell, William E Brownell

“…The model includes a mixture-composite constitutive model of the active lateral wall and spatially distributed electro-mechanical fields. …”
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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of... by Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, Rebecca Retzlaff

“…The extracted canopy features were progressively grouped into seven input feature groups for model training. Model overall performance metrics were optimized with grid search-based hyperparameter tuning and repeated-k-fold-cross-validation. …”
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Two species competition with a 'non-smooth' Allee mechanism: applications to soybean aphid population dynamics under climate change by Aniket Banerjee, Urvashi Verma, Margaret T. Lewis, Rana D. Parshad

“…Motivated by these empirical results, we considered the effect of non-smooth Allee type mechanisms, for the two species Lotka-Volterra competition model. We showed that this mechanism can alter classical competitive dynamics in both the ordinary differential equation (ODE) as well as the spatially explicit setting. …”
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Emergence of the North Pacific heat storage pattern delayed by decadal wind-driven redistribution by Jing Duan, Yuanlong Li, Yilong Lyu, Zhao Jing, Fan Wang

“…Changes in surface winds drove meridional heat redistribution via Rossby wave dynamics, leading to regional warming and cooling structures and a more complex historical heat storage than models predict. Despite this, enhanced anthropogenic warming has already been emerging in marginal seas along the North Pacific basin rim, for which we shall prepare for the pressing consequences such as increasing marine heatwaves.…”
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Does telework weaken urban structure–travel relationships? by Erik Elldér

“…If so, traditional distance- and location-based models and policies for predicting and planning transport may prove less accurate and effective than currently assumed.…”
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Design and results from a national soil carbon stock benchmarking and monitoring system for agricultural land in New Zealand by Paul L. Mudge, Georgie L. Glover-Clark, Stephen J.E. McNeill, Zach Dewhurst, Veronica Penny, Jonno Rau, Emily McKay, Carolyn B. Hedley, Andre Eger, Scott Fraser, Ngaire Foster, Pierre Roudier, Sam R. McNally, Maya Korth, Nina Koele, Shana Dooley, Lena E. Reifschneider, Lauren O’Brien, Anthony Ward, Thomas Caspari, Maddison Bingham, James Arbuckle, Hamish Maule, Kaleb McCollum, Gerard Grealish, Balin Robertson, Maya Greet, Amy Milnes, Louis A. Schipper

“…National-scale changes of SOC stocks in New Zealand’s mineral soils, reported to meet international requirements, are currently predicted based on transitions of land use using a statistical model calibrated with historic data. …”
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The home field advantage of modern plant breeding. by Patrick M Ewing, Bryan C Runck, Thomas Y J Kono, Michael B Kantar

“…In contrast, ecological theory predicts that across environments that vary spatially or temporally, the most productive population will be a mixture of narrowly adapted specialists. …”
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Characterizing Soil and Bedrock Water Use of Native California Vegetation by Alan L. Flint, Lorraine E. Flint, Michelle A. Stern, David D. Ackerly, Ryan Boynton, James H. Thorne

“…Hydrology models typically are not able to address water availability below the mapped soil profile, but we refined a landscape hydrology model, the Basin Characterization Model, by balancing measures of actual evapotranspiration (AET) with modeled subsurface soil water holding capacity, including bedrock storage. …”
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A Numerical Approach to Analyzing Shallow Flows over Rough Surfaces by M. Nasimul Chowdhury, Abdul A. Khan, Oscar Castro-Orgaz

“…Results reveal that the model can accurately predict spatially averaged velocity profiles, turbulence characteristics, shear stresses, and uniform flow depths. …”
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Using ecological and life-history characteristics for projecting species' responses to climate change by Sven Pompe, Jan Hanspach, Franz W. Badeck, Stefan Klotz, Helge Bruelheide, Ingolf Kühn

“…The models predicted range losses of 34±20 % (mean±standard deviation) and range gains of 3±4 %. …”
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