Preprints
Filtering by Subject: Geographic Information Sciences
Making a difference takes time: assessing the impact of Colombian public land acquisitions on forest cover in the Andes
Published: 2026-05-01
Subjects: Environmental Studies, Geographic Information Sciences, Human Geography, Nature and Society Relations, Remote Sensing
Public land acquisitions (PLAs) are a promising conservation instrument, combining the permanence of protected areas with the voluntary, compensatory structure of payments for ecosystem services, yet causal evidence on their effectiveness remains limited. Colombia’s Article 111 mandate, which requires departments to allocate 1% of revenue to land acquisition for watershed protection, has produced [...]
How Do Discrete Global Grid Systems Actually Perform? A Systematic Benchmark Across Geometry, Computation and Relational Joins
Published: 2026-05-01
Subjects: Computer and Systems Architecture, Databases and Information Systems, Earth Sciences, Geographic Information Sciences, Software Engineering, Spatial Science
As geospatial datasets exceed the billion-row threshold, Discrete Global Grid Systems (DGGS) promise to replace expensive vector spatial joins with fast relational hash-joins on discrete cell identifiers. However, the real-world performance of different grid implementations and the upfront cost of converting vector geometries into grid indexes remains largely unquantified. This paper introduces [...]
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 [...]
Prediction of Land Surface Temperature under overcast skies using Data Fusion and Deep Learning approach
Published: 2026-04-12
Subjects: Geographic Information Sciences, Remote Sensing, Spatial Science
Land Surface Temperature (Ts) is an essential input to drive surface energy balance for modelling terrestrial ecosystem processes. It serves as a vital indicator of drought, global change, urban heat islands, public health, and most importantly to understand monsoonal water stress signatures. Thermal InfraRed (TIR) remote sensing is the only source to retrieve Ts. Retrieval of Ts in the tropics [...]
Inverse computational morphology of debris and alluvial fans
Published: 2026-04-09
Subjects: Geographic Information Sciences, Geomorphology, Hydraulic Engineering, Hydrology, Numerical Analysis and Scientific Computing
In mountain areas, debris flows and fluvial transport often build up conical deposits at the confluence between steep tributaries and trunk rivers. The resulting debris and alluvial fans typically exhibit a well-defined relationship between slope or elevation and the distance from the fan apex. This relationship, however, becomes more difficult to characterize when fans are constrained by the [...]
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 [...]
Spatial Assessment of Urban Flood Vulnerability in Polk County, Iowa Using a Social–Ecological–Technological Framework
Published: 2026-04-03
Subjects: Environmental Indicators and Impact Assessment, Geographic Information Sciences
Flood impacts are shaped not only by environmental or economic consequences but also by the social, ecological, and infrastructural conditions that influence how communities experience and recover from hazards. This study aims to assess multi-domain flood vulnerability across Polk County, Iowa utilizing a Social–Ecological–Technological Systems (SETS) framework. Eighteen indicators were [...]
Rethinking land take futures: A cellular automata-based spatial planning approach to model urban expansion and densification under divergent growth scenarios
Published: 2026-04-01
Subjects: Environmental Engineering, Environmental Studies, Geographic Information Sciences, Spatial Science
Land take - the conversion of greenfield land into built-up areas - poses critical challenges for sustainable urban development. Addressing this issue requires understanding the balance between outward urban expansion and inward urban densification. This study employs a Multinomial Logistic Regression-based Cellular Automata (MNL-CA) model to simulate two different future scenarios of urban [...]
Agricultural expansion and intensification in Brazil: A literature synthesis of dynamics, drivers, and implications
Published: 2026-03-24
Subjects: Environmental Studies, Geographic Information Sciences, Geography, Human Geography, Nature and Society Relations, Other Geography, Physical and Environmental Geography, Remote Sensing, Social and Behavioral Sciences, Spatial Science
Brazil’s long-term agricultural development reflects a complex interplay between human-driven land-use change and natural ecosystems. Since the 1960s, agricultural production in Brazil has expanded rapidly, driven by global food demand and national economic growth, through two primary pathways: (1) agricultural expansion via conversion of natural vegetation, particularly forests, and (2) [...]
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 [...]
Validation of ICESat-2 ATL13 Version 7 Water Surface Elevation on Small High-Latitude Rivers: A Case Study of the River Dee and River Don, Aberdeenshire, Scotland
Published: 2026-03-07
Subjects: Earth Sciences, Geographic Information Sciences, Geography, Hydrology, Remote Sensing, Social and Behavioral Sciences, Spatial Science
Satellite Laser Altimetry represents an attractive opportunity to supplement the sparsely distributed in situ gauge network used to monitor rivers. The performance of satellite laser altimetry on small, high latitude streams has however been characterized as being poor. This research will be validating ICESat-2 ATL13 version 7 measured water surface elevations (WSE) for the River Dee (average [...]
Emergent Spatio-Semantic Structure in Large Language Model Embedding Spaces
Published: 2026-02-24
Subjects: Artificial Intelligence and Robotics, Geographic Information Sciences
Large Language Models (LLMs) are increasingly used in geospatial applications typically as generators of geographic text or as natural language interfaces to spatial data. Here, we explore whether LLM embedding spaces can instead function as geospatial representations that can be exploited directly. Using embeddings extracted from Airbnb property descriptions in London, we show that [...]
Mapping Temperature Deviation and Elderly Vulnerability using Open Source Technology: A One-Week Analysis of Manhattan, New York City
Published: 2026-02-24
Subjects: Geographic Information Sciences, Nature and Society Relations, Remote Sensing
This paper outlines a research method for collecting, analyzing, and visualizing real-time temperature data for cities using open data and open source technology. The system collects temperature data for each census tract in Manhattan three times daily via the OpenWeather API and stores observations in a PostgreSQL/PostGIS database. A one-week pilot study (November 15-22, 2025) analyzed 8,990 [...]
Assessing and Correcting Bias in Gridded Reference Evapotranspiration over Agricultural Lands Across the Contiguous United States
Published: 2026-02-19
Subjects: Applied Statistics, Climate, Environmental Monitoring, Geographic Information Sciences, Hydrology, Multivariate Analysis, Remote Sensing, Spatial Science, Water Resource Management
Gridded reference evapotranspiration (ETo) data are widely used for agricultural water management and remote sensing ET (RSET) models, but biases can arise in agricultural regions where coarse-resolution meteorological inputs fail to capture local microclimates. We investigated biases in the gridMET ETo product across irrigated agricultural areas of the contiguous United States (CONUS) by [...]
An Accessible NDVI Classification Tool for Urban and Suburban Vegetation Change Analysis
Published: 2026-01-31
Subjects: Geographic Information Sciences, Remote Sensing
This paper presents a web-based research method for studying changes in vegetation in urban and suburban contexts between 2018 and 2024. The system uses the Normalized Difference Vegetation Index (NDVI) to analyze imagery for each time period and classify land surface types. After classification, correlation and regression analysis are applied to explain connections between urbanization and [...]