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Preprints

There are 7999 Preprints listed.

Building a representative UAV RGB reference dataset for national-scale satellite mapping of invasive goldenrods (Solidago spp.): an efficient workflow and accuracy drivers

Ewa Kołaczkowska, Bożena Omeliańska, Anna Kowalska, et al.

Published: 2026-03-28
Subjects: Environmental Sciences

Reliable wall-to-wall mapping of invasive plants from satellite imagery depends on representative reference data and transparent quality control. Here we present a nationally distributed UAV RGB reference dataset and an end-to-end workflow designed to support national-scale satellite mapping of invasive goldenrods (Solidago spp.) in Poland. During the peak flowering period (August–September [...]

Variational numerical-modelling strategies for the simulation of driven free-surface waves

Onno Bokhove, Yang Lu, Mark Kelmanson, et al.

Published: 2025-10-12
Subjects: Engineering, Physical Sciences and Mathematics

A new tool is developed for simulating three-dimensional (3D) water-wave motion using the first fully variational 3D discretisation in space and time of Luke's variational principle (VP), with additional focus on the formation and analysis of extreme waves generated within in-house experimental wavetanks. The resulting ``numerical wavetank'' is able to emulate laboratory sea states in which [...]

Dense neural network outperforms other machine learning models for scaling-up lichen cover maps in Eastern Canada

Galen Richardson, Anders Knudby, Wenjun Chen, et al.

Published: 2025-10-12
Subjects: Environmental Sciences, Natural Resource Economics, Natural Resources Management and Policy, Physical Sciences and Mathematics, Sustainability

Lichen mapping is vital for caribou management plans and sustainable land conservation. Previous studies have used random forest, dense neural network, and convolutional neural network models for mapping lichen coverage. However, to date, it is not clear how these models rank in this task. In this study, these machine learning models were evaluated on their ability to predict lichen percent [...]

Nutrition in Abrupt Sunlight Reduction Scenarios: analysis and prevention of malnutrition in low-income regions

Zainab Asal, Juan Bartolomé García Martínez, Michael Hinge, et al.

Published: 2025-10-13
Subjects: Agriculture, Food Science, Life Sciences, Medicine and Health Sciences, Public Health

Purpose: An abrupt sunlight reduction scenario (ASRS) can be triggered by a nuclear war, a large volcanic eruption, or an asteroid strike, resulting in global agricultural collapse. A wide portfolio of resilient food interventions has been developed to address these issues, but even if they succeed in providing sufficient food energy for the global population, economic inequality could still [...]

Changes in soil moisture availability and water yield in response to longleaf pine restoration in southeast Texas

Brett Lawrence, Matthew McBroom

Published: 2026-04-16
Subjects: Forest Management, Forest Sciences, Natural Resources and Conservation, Other Forestry and Forest Sciences

Our study, based in Trinity County, Texas, focused on whether strategic management of longleaf pine forest could promote a less water-intensive land cover type. We modeled soil evapotranspiration (ET) by measuring vertically stratified soil moisture (15-120 cm) across five forest monitoring sites, four of which received restoration treatments, and one served as a control. Forest attributes, [...]

Vector Graphics-Based Geospatial Contour Maps: A Web-Native Interactive Approach for Modern Geospatial Data Science Applications

Amandip Sangha

Published: 2025-10-14
Subjects: Computer Engineering, Computer Sciences, Earth Sciences, Engineering, Environmental Sciences, Graphics and Human Computer Interfaces

Visualizing scalar fields (e.g., temperature, precipitation etc.) on the web is often done via pre‑rendered raster tiles. While simple to serve and fast to access, rasters limit interactivity (feature picking, dynamic styling) and typically require heavy pre‑generation pipelines. Raster tiles remain the dominant method for web-based scalar field visualization, but they are storage-heavy and [...]

Global deep learning model for delineation of optically shallow and optically deep water in Sentinel-2 imagery

Galen Richardson, Neve Foreman, Anders Knudby, et al.

Published: 2025-10-14
Subjects: Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Natural Resources and Conservation, Sustainability, Water Resource Management

In aquatic remote sensing, algorithms commonly used to map environmental variables rely on assumptions regarding the optical environment. Specifically, some algorithms assume that the water is optically deep, i.e., that the influence of bottom reflectance on the measured signal is negligible. Other algorithms assume the opposite and are based on an estimation of the bottom-reflected part of the [...]

Slow dynamics under high confining pressure in saturated sandstone with pore pressure

Manuel Asnar, Christoph Sens-Schönfelder, Audrey Bonnelye, et al.

Published: 2026-05-15
Subjects: Geophysics and Seismology, Mechanics of Materials

Slow dynamics is a time-dependent, nonlinear elastic behavior occurring in a variety of consolidated or damaged materials, including rocks. The influence of relative humidity and confining pressure on slow dynamics has been studied, but not that of full saturation and effective pressure. We show that slow dynamics is occurring under high confining pressure in fluid-saturated sandstone, if the [...]

Incision Sets the Growth Rate of Delta Channel Networks

Hongbo Ma, Tian Dong, John Shaw, et al.

Published: 2026-10-24
Subjects: Engineering, Physical Sciences and Mathematics

River deltas support large human populations and diverse ecosystems, but many are increasingly threatened by relative sea-level rise and sediment deprivation. Delta growth is widely viewed as a depositional process driven by sediment accumulation. However, the distributary channels that deliver sediment across deltas often extend before major episodes of subaerial land growth. Recent field [...]

Radiogenic Sr-Nd-Pb isotope behavior in different grain-sized fine lithic materials during basalt weathering

Shivam Sahu, Satinder Pal Singh, Kumar Batuk Joshi, et al.

Published: 2025-10-16
Subjects: Atmospheric Sciences, Climate, Earth Sciences, Geochemistry, Geology, Geomorphology, Oceanography, Oceanography and Atmospheric Sciences and Meteorology, Sedimentology, Stratigraphy

Radiogenic isotopes are widely used as sediment provenance tracers; however, their weathering response has not been fully established. This study investigates the weathering sensitivity of Sr-Nd-Pb isotopes in fine lithic fractions (FLF; grain size <2 μm, <5 μm, and <20 μm) capable of long-range transport. Geochemical and isotope compositions have been measured in the physicochemically [...]

A new chronostratigraphic anchor for the early Cambrian: Integrating δ¹³C chemostratigraphy and Bayesian astrochronology in West Gondwana (Anti-Atlas, Morocco)

Damien Pas, Matthias Sinnesael, Valentin Jamart, et al.

Published: 2025-10-15
Subjects: Earth Sciences

The early Cambrian represents a critical interval in Earth’s history characterized by rapid biological innovation and significant perturbations in global carbon cycling. However, a comprehensive understanding of the processes at play and their spatial and temporal relationships is hindered by fossil provincialism, diachronous bioevents, and inadequate high-precision geochronology. The Tiout [...]

A Collaborative Assessment of Coastal Ocean Acidification Monitoring in Maine & Standard Operating Procedures and Best Practices for the Collection of Continuous pH Data in Coastal Marine Environments

Christopher W Hunt, Curtis Bohlen, Mike Doan, et al.

Published: 2025-10-15
Subjects: Earth Sciences, Environmental Monitoring, Oceanography and Atmospheric Sciences and Meteorology

The ‘Sensor Squad’ of the Maine Ocean Climate Collaborative is the product of a 2023 Maine Coastal and Marine Climate Action Fund grant to conduct “A two-year pilot project designed to address and overcome technological barriers to ocean acidification data collection, develop protocols to elevate quality assurance and ensure comparable data, and meet regularly to discuss project results and data [...]

Machine learning approaches to Landsat change detection analysis

Galen Richardson, Anders Knudby, Morgan A Crowley, et al.

Published: 2025-10-15
Subjects: Environmental Health and Protection, Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Natural Resources and Conservation, Natural Resources Management and Policy, Other Environmental Sciences, Sustainability

The Landsat mission has captured images of the Earth’s surface for over 50 years, and the data have enabled researchers to investigate a vast array of different change phenomena using machine learning models. Landsat-based monitoring research has been influential in geography, forestry, hydrology, ecology, agriculture, geology, and public health. When monitoring Earth's surface change using [...]

Global assessment of terrestrial water cycle resilience

Romi Amilia Lotcheris, Nielja Knecht, Lan Wang-Erlandsson, et al.

Published: 2026-01-11
Subjects: Sustainability, Water Resource Management

Green water - transpiration, soil moisture, and land precipitation - is critical for Earth system stability and ecosystem productivity. Despite evidence of considerable and widespread change globally, its resilience, or ability to absorb and recover from disturbances, is not yet well understood. Here, we assess green water resilience using early warning signals (EWS) applied to global satellite [...]

Developing a prototype decision support framework to assess forest management scenarios as a nature-based decarbonization solution for the mining sector: A case study in British Columbia, Canada

Elaheh Ghasemi, Kathleen Coupland, Salar Ghotb, et al.

Published: 2025-10-15
Subjects: Forest Management, Operations Research, Systems Engineering and Industrial Engineering

This study, realized in partnership with a leading global gold producer, explores how forest management nature-based solutions (NbS) can be integrated into decarbonization strategies to achieve carbon neutrality by 2050. NbS, including carbon sequestration in forests, are expected to play an important role in meeting decarbonization commitments in the mining sector. Our primary contribution is a [...]

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