Preprints
Filtering by Subject: Environmental Monitoring
Challenges with Developing a Measurement-Based Basin Methane Intensity Estimate: A Case Study from the Haynesville
Published: 2026-05-01
Subjects: Environmental Indicators and Impact Assessment, Environmental Monitoring, Oil, Gas, and Energy
Methane intensity, the emissions relative to production, has been a focus in global regulations on oil and gas production and imports, given the climate benefits of methane emission reductions. Methodological frameworks to create annual measurement-based emissions inventory estimates and calculate methane intensity using snapshot measurements have been developed. However, there are still multiple [...]
Direct quantification of solar-induced chlorophyll fluorescence using compact solar-blind optical radiometers
Published: 2026-05-01
Subjects: Biogeochemistry, Earth Sciences, Environmental Monitoring, Environmental Sciences, Optics, Physical Sciences and Mathematics, Physics
Remote sensing of solar-induced chlorophyll fluorescence (SIF) provides a non-invasive, quantitative measure of plant photosynthetic activity, linking leaf-level physiology to canopy and ecosystem behavior and the global carbon cycle. Current SIF measurements rely on hyperspectral retrievals of the weak fluorescence signal from small changes in Fraunhofer lines or atmospheric absorption features [...]
Towards Prospective Disaster Risk Management: Mapping Multi-hazard Urban Risk Dynamics Driven by Evolving Exposure and Vulnerability via Earth Observation
Published: 2026-04-30
Subjects: Categorical Data Analysis, Civil and Environmental Engineering, Civil Engineering, Engineering, Environmental Monitoring, Geographic Information Sciences, Human Geography, Other Computer Sciences, Physical and Environmental Geography, Remote Sensing, Risk Analysis, Spatial Science, Structural Engineering
As local governments increasingly adopt geospatial Climate and Disaster Risk Assessment (CDRA) to inform prospective public policy, the reliability of existing static risk intelligence is challenged by the continuous evolution of building exposure, population distribution, and physical vulnerability. Recent multi-temporal datasets of the built environment, derived from Earth Observation and [...]
Scale-dependent controls on forest carbon uptake across hydroclimatic extremes
Published: 2026-04-29
Subjects: Climate, Environmental Monitoring, Forest Sciences, Sustainability
Conifer forests span some of the most climatically contrasting environments on Earth, from energy-limited Boreal systems to water-limited semi-arid ecosystems. Whether their carbon uptake is governed by universal drivers or by site-specific boundary conditions remains unresolved. Using more than two decades of eddy-covariance and multi-depth soil moisture measurements from two climatic [...]
EXPLORATION OF WATER RESOURCES MANAGEMENT DECISION SUPPORT POTENTIAL IN DATA SCARCE WATERSHEDS AND ASSOCIATED DATA POLICY NEEDS
Published: 2026-04-18
Subjects: Bioresource and Agricultural Engineering, Computational Engineering, Environmental Monitoring, Hydrology, Natural Resources Management and Policy, Remote Sensing, Sustainability, Water Resource Management
Insufficient data access presents major challenges to scientific assessment of water resources, development of management plans, and attainment of water security. Hydrologic models are widely applied in the advisement of pollution, drought, and flood mitigation strategies; their accuracy relies on data used in setup and calibration. A case study of Sasumua River Watershed in Kenya illustrates [...]
Lowering barriers to probing high-frequency variations in river chemistry through a frugal machine learning-based framework
Published: 2026-04-11
Subjects: Biogeochemistry, Environmental Monitoring, Hydrology, Water Resource Management
High-frequency river chemistry monitoring is crucial for capturing transient hydro-geochemical variations and ensuring water security, yet its implementation is limited by logistical and budgetary constraints. Here we present a machine learning-based framework that integrates continuous, low-cost physico-chemical proxies with sparse ‘anchoring’ solute measurements to reconstruct hourly-scale [...]
An End-to-End Workflow for Processing Multilingual Stakeholder Workshop Data: A Soil Health Case Study
Published: 2026-04-11
Subjects: Artificial Intelligence and Robotics, Environmental Monitoring, Soil Science
This paper presents an end-to-end workflow for the collection, analysis, and dissemination of multilingual stakeholder workshop data related to soil health. Stakeholder workshops often produce diverse qualitative and ordinal data which is difficult to process consistently and transparently, especially in multilingual settings. The proposed workflow provides clear guidance for collecting, [...]
Quantifying the Regional Dynamics and Redistribution of Physical Vulnerability in Least Developed Countries
Published: 2026-04-09
Subjects: Categorical Data Analysis, Civil Engineering, Environmental Indicators and Impact Assessment, Environmental Monitoring, Geographic Information Sciences, Other Computer Sciences, Physical and Environmental Geography, Remote Sensing, Spatial Science, Structural Engineering
In the margins of the accelerating development of digital technology worldwide are the Least Developed Countries (LDCs), which continually face an exacerbated risk crisis at the intersection of rapid rural-urban growth, persistent physical vulnerability, and intensifying climate hazards. Despite decades of international development commitments, the rate of built-up expansion across LDCs has [...]
Multi-Sensor Monitoring of Wetland Inundation Using a Machine Learning and Data Fusion Framework
Published: 2026-04-04
Subjects: Applied Statistics, Earth Sciences, Environmental Monitoring, Environmental Sciences, Hydrology, Physical Sciences and Mathematics, Statistics and Probability
Continuous, high-resolution inundation data are needed to understand how small-scale, short-term wetland flooding influences global methane emissions and carbon cycling. Small (less than 1,000 m²), variably inundated wetlands are significant methane sources, yet coarse satellite products often miss their dynamics. Integrating optical and radar imagery with resolutions less than 30 m offers a [...]
Satellite Validation of Citizen Science Marine Pollution Data: Multi-Site Correlation Analysis of Sentinel-2 Floating Debris Index and EyeSea Ground-Truth Reports
Published: 2026-03-27
Subjects: Environmental Indicators and Impact Assessment, Environmental Monitoring, Natural Resources and Conservation
We present the first multi-site correlation analysis between the Sentinel-2 Floating Debris Index (FDI) and community-reported marine pollution data from the EyeSea citizen science platform. Across three geographically diverse coastal sites—Vasai-Virar (India), Santa Cruz, Galápagos (Ecuador), and Puerto Montt (Chile)—8,123 geotagged beach pollution reports were analysed against 91 Sentinel-2 L2A [...]
Dataset of DInSAR wrapped phase signals for AI-based automated detection and classification of mass movements
Published: 2026-03-26
Subjects: Earth Sciences, Environmental Monitoring, Environmental Sciences, Geology, Geomorphology, Physical Sciences and Mathematics
With the growing use of Artificial Intelligence (AI) in remote sensing of mass movements, available datasets for model training and validation are increasingly needed. Although Differential Synthetic Aperture Radar Interferometry (DInSAR) is a widely used technique for studying mass movements, wrapped interferograms remain less exploited, and the importance of geomorphological expertise in their [...]
Urban Green Cover and Land Surface Temperature in Ho Chi Minh City: A Remote Sensing Analysis of Vegetation Cooling Effects Across Historical Development Rings, 1990–2025
Published: 2026-03-26
Subjects: Environmental Monitoring
Ho Chi Minh City's 11.3 million residents live in a landscape shaped by four political regimes — French colonial, wartime, socialist, and market-era — each of which built the city it needed and left the green space debt for the next. Using Sentinel-2 and Landsat satellite imagery from 1990 to 2025, we map vegetation cover and surface temperature across the city at 100-meter resolution and trace [...]
Geospatial Modelling of Vegetation Dynamics and Carbon Sequestration Capacity in Ekiti State, Nigeria Using MODIS Data and CASA Models.
Published: 2026-03-23
Subjects: Environmental Monitoring, Geographic Information Sciences, Natural Resources and Conservation, Natural Resources Management and Policy, Physical and Environmental Geography, Remote Sensing, Spatial Science, Sustainability
Accurate estimation of terrestrial carbon sequestration capacity is fundamental to national climate mitigation efforts and achieving Sustainable Development Goals (SDGs). This study assessed vegetation dynamics and modelled Net Primary Productivity (NPP) a proxy for carbon sequestration capacity in Ekiti State, Nigeria, over the 11-year period (2014–2024). The study deployed the seasonal and [...]
Probabilistic modelling of pharmaceutical pollution risk from sewage treatment work discharges using a Bayesian Network: application to a Scottish river catchment
Published: 2026-03-16
Subjects: Earth Sciences, Environmental Engineering, Environmental Monitoring, Environmental Sciences, Hydrology, Pharmacology, Toxicology and Environmental Health, Statistical Models, Statistics and Probability, Water Resource Management
Pharmaceuticals are increasingly recognised as a class of emerging contaminants of concern in rivers. Their continuous release from human use and variable removal in sewage treatment works (STWs) can produce ecologically relevant concentrations and contribute to antimicrobial resistance. We developed a probabilistic catchment-scale model based on a Bayesian Network (BN) to quantify pharmaceutical [...]
A terrain-aware approach for image-based urban flood monitoring
Published: 2026-03-13
Subjects: Earth Sciences, Environmental Monitoring, Environmental Sciences, Hydrology, Water Resource Management
Urban nuisance flooding is widespread, yet quantitative observations of its magnitude and spatial variability remain limited. Most image-based approaches provide only relative measures of flooded image fraction, while quantitative methods require surveyed ground control and three-dimensional reconstruction. We introduce a terrain aware, perspective weighted framework that converts flooded image [...]