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Preprints

Filtering by Subject: Remote Sensing

SCI-VIS: Lightweight Visibility Tagging for Coastal Camera Monitoring

Michael Reinwald, Ketron Mitchell-Wynne, Zane D'Amico, et al.

Published: 2026-07-29
Subjects: Atmospheric Sciences, Environmental Monitoring, Oceanography, Remote Sensing

Automated assessment of imaging conditions is a necessary pre-processing step for any computer vision pipeline deployed on outdoor cameras subject to atmospheric variability. We describe SCI-VIS, a lightweight per-frame visibility classifier deployed within the Surfline Coastal Intelligence (SCI) pipeline. The Surfline coastal-camera network spans ~1,200 cameras worldwide. SCI-VIS tags each [...]

Detecting illegal water abstractions using Earth Observation and artificial intelligence: challenges, research gaps, and future directions

Elena Kakoulli, Anastasios Antoniades, Stelios Neophytides

Published: 2026-07-28
Subjects: Artificial Intelligence and Robotics, Environmental Monitoring, Hydrology, Natural Resources Management and Policy, Remote Sensing, Water Resource Management

Water scarcity and unsustainable withdrawals are major environmental challenges, particularly in semi-arid and Mediterranean regions where agriculture places strong pressure on limited hydrological resources. Illegal or unreported water abstractions intensify these pressures by undermining ecosystem stability, policy compliance, and long-term water security. Although Earth Observation (EO) and [...]

SCI-OBS: Detection and Classification of People on the Beach and in the Surf Zone

Michael Reinwald, Ketron Mitchell-Wynne, Zane D'Amico, et al.

Published: 2026-07-28
Subjects: Environmental Monitoring, Natural Resources Management and Policy, Oceanography, Remote Sensing

Understanding how many people use beaches and surf zones is vital for safety, tourism, and coastal management. Traditional manual headcounts are time-consuming and inconsistent, while existing automated systems often fail in complex conditions due to glare, waves obstructing the view, and the small apparent size of distant subjects. We present SCI-OBS, an automated multi-class detector deployed [...]

Cloud-Free Imaging Probability Forecasting for Optical Earth-Observation Tasking over Yerevan, Armenia

Isabella Avasapian

Published: 2026-07-18
Subjects: Artificial Intelligence and Robotics, Atmospheric Sciences, Environmental Monitoring, Numerical Analysis and Scientific Computing, Remote Sensing

Optical Earth-observation satellites such as Sentinel-2 cannot see through cloud, so a tasking attempt over a cloudy target wastes a limited imaging window along with onboard power and downlink bandwidth. We study whether next-day cloud conditions over Yerevan, Armenia can be forecast accurately enough to automate the binary Go/No-Go tasking decision. Daily cloud-free fractions are derived from [...]

S²AM-Net: Structure-semantic SAM-guided Network for Few-Shot Segmentation in Mining Areas

quan cui, longzhou hu, yan zhou, et al.

Published: 2026-07-16
Subjects: Geographic Information Sciences, Geography, Remote Sensing

Precise mining land-cover classification is essential for monitoring environmental degradation and ecological restoration. Few-Shot Segmentation (FSS) offers a promising solution under limited annotations, but it still faces common challenges such as ambiguous foreground features and overfitting to the small support set. Moreover, mining landscapes are characterized by highly detailed structures, [...]

Pixel-Level Urban Housing-Price Mapping Based on AlphaEarth Foundations: Evidence from 36 Chinese Cities

Shuyang Hou, Haoyue Jiao, Ziqi Liu, et al.

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

Laura N. Sotomayor, Arko Lucieer, Ryan Haynes, et al.

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 [...]

SegFormer and SegFormer-UNet for anthropogenic geomorphic feature extraction from land surface parameters

Sarah Farhadpour, Aaron E Maxwell, Behnam Solouki

Published: 2026-06-28
Subjects: Environmental Monitoring, Geology, Geomorphology, Remote Sensing

Accurate, scalable mapping of anthropogenic geomorphic features from high spatial resolution terrain data remains challenging. While convolutional neural networks (CNNs) excel at characterizing local texture and patterns, their limited receptive fields may fail to capture broader spatial context. Transformer-based architectures, such as SegFormer, support stronger long-range dependency modelling, [...]

AEF-Econ: Toward Plug-and-Play Socioeconomic Foundation Embeddings from AlphaEarth for Urban Remote Sensing

Shuyang Hou, Ziqi Liu, Haoyue Jiao, et al.

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, [...]

Mangrove Loss and Growing Coastal Flood Exposure in East Malaysia: A Multi-Decadal Analysis with Sea Level Rise Projections

Lik Ren Tai

Published: 2026-06-10
Subjects: Earth Sciences, Environmental Sciences, Environmental Studies, Geographic Information Sciences, Oceanography and Atmospheric Sciences and Meteorology, Physical and Environmental Geography, Remote Sensing

Mangrove forests provide critical coastal flood protection, yet their ongoing loss in combination with sea level rise creates a compounding exposure dynamic that remains poorly quantified at sub-national scale across Southeast Asia. This study presents the first systematic, multi-decadal analysis of mangrove loss and coastal flood exposure change for the 10 km coastal buffer of East Malaysia [...]

Two decades of kilometer-scale daily PM2.5 from satellite observations and machine learning reveal geographically diverging exposure in Ghana

Abhishek Anand, Joe A Amooli, Selina Amoah, et al.

Published: 2026-06-06
Subjects: Artificial Intelligence and Robotics, Atmospheric Sciences, Civil and Environmental Engineering, Earth Sciences, Engineering, Environmental Engineering, Environmental Monitoring, Environmental Public Health, Environmental Sciences, Geographic Information Sciences, Geography, Oceanography and Atmospheric Sciences and Meteorology, Other Earth Sciences, Remote Sensing, Spatial Science

Exposure to fine particulate matter (PM2.5) is a major contributor to global burden of disease, yet air quality data remain sparse in many low- and middle-income countries, limiting nationwide monitoring and effective policy development. We address this gap by developing a high-resolution gridded (1 km × 1 km) dataset for daily surface PM2.5 concentrations in Ghana from 2005 to 2025 by training [...]

Operationalising EMS-98 Damage Classification: A UAV-to-GIS Pipeline for Macroseismic Survey Support

Giovanni Galli, Marco Dubbini, FIlippo Bernardini, et al.

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 [...]

GEDIMetrics: a QGIS plugin for accessing and integrating multi-product GEDI spaceborne LiDAR data

Alexander Cotrina-Sanchez, Michele Torresani, Leonel Corado

Published: 2026-05-19
Subjects: Databases and Information Systems, Environmental Monitoring, Forest Management, Geographic Information Sciences, Natural Resources and Conservation, Other Forestry and Forest Sciences, Remote Sensing, Spatial Science

NASA's Global Ecosystem Dynamics Investigation (GEDI) provides near-global, high-resolution 3D LiDAR observations of forest vertical structure. However, GEDI products are distributed as independent HDF5 files organised by beam, requiring ad-hoc workflows for data discovery, quality filtering, spatial subsetting, and footprint-level alignment across products. Existing tools either target a single [...]

Calibrated spatial uncertainty for Earth observation foundation models via Matérn-motivated latent stochastic regularization

Daniel Patrick Johnson

Published: 2026-05-17
Subjects: Environmental Monitoring, Remote Sensing, Spatial Science, Statistical Methodology, Statistical Models

Earth observation foundation models produce dense spatial embeddings that support transfer learning across sensors and regions, yet these representations carry no explicit spatial statistical model for covariance, smoothness, or uncertainty. Existing deep learning uncertainty methods produce per-pixel variance estimates that ignore spatial dependence, and their calibration is rarely assessed [...]

Sustained Decline of Annual Snow Cover Area in the Sikkim Himalaya (1987–2025): Multi-Sensor Remote Sensing on Google Earth Engine, Machine Learning, and Projections to 2100

Prakash Pradhan

Published: 2026-05-04
Subjects: Climate, Glaciology, Hydrology, Planetary Glaciology, Planetary Hydrology, Remote Sensing

Snow cover is a critical component of the Himalayan cryosphere, providing freshwater to millions of people across South Asia and regulating regional climate through albedo feedbacks. Sikkim, a small but ecologically significant state in the Eastern Himalaya, has experienced accelerating glacial retreat and mounting hydrological stress in recent decades. This study presents a comprehensive, [...]

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