Preprints
Filtering by Subject: Computer Sciences
A Community-Oriented Flood Map Visualization and Evaluation Framework
Published: 2026-10-16
Subjects: Civil and Environmental Engineering, Computer Engineering, Computer Sciences, Engineering, Hydraulic Engineering, Hydrology, Software Engineering
Flood inundation maps are essential for preparedness, response, and long‐term risk mitigation, yet many existing visualization platforms remain limited by rigid data structures and region‐specific workflows. This study introduces FIMApp, a client‐side, web‐based framework and platform for integrating, visualizing, and comprehensively evaluating flood map products using standardized, portable data [...]
Three gaps for foundation models to address in satellite remote sensing of inland waters
Published: 2026-10-09
Subjects: Artificial Intelligence and Robotics, Computer Sciences, Earth Sciences, Environmental Sciences, Fresh Water Studies, Oceanography and Atmospheric Sciences and Meteorology
Long-term Earth observation of inland waters depends on continuity between satellite missions, adequate combinations of spectral, spatial and temporal resolution, and representative calibration and validation datasets. Discontinuities and trade-offs in these components constrain the records available for studying inland waters and their change. We examine three gaps affecting inland water remote [...]
A vertical vegetation structure model of the Earth
Published: 2026-10-06
Subjects: Computer Sciences, Earth Sciences, Environmental Sciences, Forest Biology, Forest Management, Forest Sciences, Other Forestry and Forest Sciences, Research Methods in Life Sciences, Wood Science and Pulp, Paper Technology
Knowing the global distribution of vegetation structure is an essential prerequisite to better quantify, model, and manage carbon, water, energy, and biodiversity in the Earth system. Despite its recognized importance, vertical structure measurements remain sparse at global scales, limiting our understanding of the links between structure and ecosystem functions and resilience. Here we present [...]
Hidden periodicity in LiDAR point-count rasters
Published: 2026-09-26
Subjects: Computer Sciences, Earth Sciences, Geophysics and Seismology, Numerical Analysis and Scientific Computing, Other Earth Sciences, Physical Sciences and Mathematics
LiDAR point-count rasters can contain regular stripes that are not present in the surveyed scene. They arise when the fixed step on which LAS files store coordinates, often 1 cm, interacts with the grid used to count points. We identify three mechanisms, grid mismatch, floating-point boundary rounding and uneven filling of stored positions, predict where each pattern appears and how strong it is, [...]
Leveraging Ocean Data and Models: Building the Data Infrastructure, Workforce, and Modeling Capacity to Synthesize Earth’s Ocean Observations
Published: 2026-09-26
Subjects: Artificial Intelligence and Robotics, Atmospheric Sciences, Biogeochemistry, Climate, Computer Sciences, Databases and Information Systems, Earth Sciences, Environmental Sciences, Fresh Water Studies, Geology, Hydrology, Meteorology, Numerical Analysis and Scientific Computing, Oceanography, Other Earth Sciences, Other Oceanography and Atmospheric Sciences and Meteorology
NASA’s aquatic and marine research enterprise within the overarching NASA Biosphere Program is entering an era of unprecedented data abundance. MODIS and the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission already generate ocean color data at rates that strain legacy processing and archiving workflows, and forthcoming missions will add further volume and complexity. These satellite [...]
Terrain-Dependent Generalization Failure in Multimodal Lunar Crater Classification: A Comparative Study Using Optical and Topographic Data
Published: 2026-09-08
Subjects: Artificial Intelligence and Robotics, Computer Sciences, Planetary Geology, Planetary Geomorphology, Planetary Sciences
Automated lunar crater detection is an important task in planetary mapping, geological analysis, and future lunar exploration. Recent studies have demonstrated the potential of combining optical imagery with topographic information; however, the influence of terrain variability on crater classification performance remains insufficiently explored. This study presents a comparative evaluation of [...]
A Blueprint for Modern Floodplain Management: System Requirements and Architecture for AI-Ready Platforms
Published: 2026-07-29
Subjects: Artificial Intelligence and Robotics, Civil and Environmental Engineering, Computer Sciences, Engineering, Hydraulic Engineering, Physical Sciences and Mathematics, Water Resource Management
Floodplain managers play a critical role in mitigating flood risks and ensuring compliance with federal, state, and local regulations. Their daily work often depends on a patchwork of standalone tools, manual processes, and legacy systems that have evolved over time to meet regulatory and community needs. To establish a foundation for next-generation technological solutions, we synthesized [...]
Intermediate-Evidence Substitution: A Benchmark Design Methodology for Isolating Numerical Derivation from Protocol Execution in Deterministic Climate Verification
Published: 2026-07-29
Subjects: Computer Sciences, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics
We introduce \textbf{Intermediate-Evidence Substitution (IES)}, a benchmark design methodology that changes evidence granularity while preserving task semantics: decisive aggregate statistics in benchmark evidence are replaced with the raw intermediate values from which they are derived, while task labels, decision protocols, thresholds, and evaluation criteria remain unchanged. IES functions as [...]
Pixel-Level Urban Housing-Price Mapping Based on AlphaEarth Foundations: Evidence from 36 Chinese Cities
Published: 2026-07-04
Subjects: Computer Engineering, Computer Sciences, Geographic Information Sciences, Human Geography, Remote Sensing
This study develops and validates a multi-source modelling framework for continuous, pixel-level urban housing-price mapping using surface embeddings from AlphaEarth Foundations (AEF). Pixel-level labels calibrated against multi-source market data are constructed for 288 city–year samples across 36 Chinese cities (2017–2024), and AEF’s 64-dimensional, 10 m annual surface embeddings are [...]
Spectrally structured CNN encoding for interpretable and edge-ready fractional vegetation cover mapping using UAS multispectral and imaging spectroscopy
Published: 2026-06-30
Subjects: Artificial Intelligence and Robotics, Biogeochemistry, Computer Sciences, Earth Sciences, Engineering, Environmental Monitoring, Environmental Sciences, Natural Resources and Conservation, Physical Sciences and Mathematics, Remote Sensing
Fractional vegetation cover (FVC) is a key indicator of semi-arid ecosystem condition, but non-photosynthetic vegetation (NPV) remains difficult to map because dry or senescent vegetation, litter, woody debris, and standing dead material can overlap spectrally with photosynthetic vegetation (PV) and bare ground (BE), especially where shadows, exposed bare earth surfaces, and mixed vegetation-soil [...]
AEF-Econ: Toward Plug-and-Play Socioeconomic Foundation Embeddings from AlphaEarth for Urban Remote Sensing
Published: 2026-06-20
Subjects: Computational Engineering, Computer Sciences, Earth Sciences, Electrical and Computer Engineering, Engineering, Environmental Sciences, Geography, Human Geography, Nature and Society Relations, Remote Sensing, Social and Behavioral Sciences
AlphaEarth Foundations (AEF) unify global remote sensing foundation embeddings through multimodal self-supervised learning, but their pretraining focuses on physical land-surface signals, limiting plug-and-play use in socioeconomic tasks. We integrate seven heterogeneous data streams across 36 Chinese cities over eight years—AEF embeddings, population, nighttime lights, remote sensing indices, [...]
Operationalising EMS-98 Damage Classification: A UAV-to-GIS Pipeline for Macroseismic Survey Support
Published: 2026-05-22
Subjects: Computer Sciences, Databases and Information Systems, Geographic Information Sciences, Geography, Nature and Society Relations, Remote Sensing, Spatial Science
Post-earthquake macroseismic surveying often relies on ground-based visual inspections that are slow, costly, and difficult to scale in the immediate aftermath of a seismic event. Deep-learning damage detectors have advanced substantially in recent years, yet their outputs are rarely translated into operational deployment tools that yield a georeferenced dataframe of buildings aligned with the [...]
From 2D labels to 3D structure: Scalable label transfer and benchmarking of 3D vegetation models in rangeland ecosystems
Published: 2026-05-03
Subjects: Artificial Intelligence and Robotics, Biogeochemistry, Computer Sciences, Earth Sciences, Engineering, Environmental Monitoring, Environmental Sciences, Natural Resources and Conservation, Physical Sciences and Mathematics, Remote Sensing
Three-dimensional (3D) characterisation of vegetation structure at the level of individual growth forms is critical for understanding ecosystem function and resilience, yet remains challenging in rangelands because vegetation is sparse, low-stature, and structurally heterogeneous. Recent 3D deep-learning models perform strongly in forests, but their transfer beyond closed-canopy benchmarks is [...]
HydroScholar AI: A Collaborative Agent for End-to-End Automated Hydrological Research Lifecycle
Published: 2026-04-10
Subjects: Computer Sciences, Earth Sciences, Environmental Sciences, Physical Sciences and Mathematics
Hydrological research relies on multi-stage computational workflows that are often slow, fragmented across disparate tools, and inconsistently documented, limiting reproducibility. This study presents HydroScholar AI, an agentic, human-in-the-loop platform that consolidates the plan-to-paper research lifecycle into a single interactive automated framework. From a natural-language prompt, the [...]
Seventeen city types define distinct pathways for climate mitigation and adaptation worldwide
Published: 2026-04-01
Subjects: Computer Sciences, Environmental Studies, Geography, Planetary Sciences
Understanding that cities are main arenas of climate action, it remains unclear which cities should focus on what kind of action taking a global comparative lens. Recent contributions identified four different types of cities across seven world regions, while others specified a huge case study literature database on cities and climate change biased towards established, stagnant, and megacities, [...]