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Map** the thermal footprint of a municipal solid waste landfill using remote sensing and artificial intelligence
This work demonstrates the value of combining remote sensing, regression models, random forest (RF) algorithms, and artificial neural networks (ANN)...
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Estimating future bathymetric surface of Kainji Reservoir using Markov Chains and Cellular Automata algorithms
The menace of sedimentation to reservoirs has a significant implication for water quality, storage capacity and reservoir lifetime. Rainfall patterns...
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Cost-benefit analysis of a detached breakwater for coastal protection: a case study in the Portuguese seaside
Defining the most suitable intervention to mitigate coastal hazards in a specific area, under an integrated coastal management strategy, is complex...
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Spatial effects of shrub encroachment on wetland soil pH and salinity in the Yellow River Delta, China
The encroachment of woody shrubs in grass-dominated coastal salt marsh ecosystems has potentially influenced soil physical and chemical processes at...
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Interactive Mixed Reality Methods for Visualization of Underground Utilities
This research aims to overcome the difficulties associated with visualizing underground utilities by proposing six interactive visualization methods...
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AI-Infused Strategies for Mitigating Uncertainty in Continental-Scale Surface Mass Change Analysis Through GPS and GRACE-FO
Understanding mass movements at spatial scales below 300 km requires screening and analysing GPS data in combination with GRACE-FO gravity products,...
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Spatio-temporal analysis of precipitation in eastern India for last three decades
Climate change emerges as a significant factor influencing rainfall variability, as it results in changes in annual or seasonal rainfall patterns...
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Coastal citizen science monitoring and suggested conservation strategy: ghost crab survey at Suao Dakenggu, Taiwan
Beaches provide a buffer zone between the sea and the land, which mitigates the impact of natural hazards on waterfront residents. In this study, the...
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Satellite-based Bathymetry Supported by Extracted Coastlines
Bathymetry is the measurement of ocean depths using a variety of techniques. Available techniques include sonar systems, light detection and ranging...
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Categorisation by Leveraging CNNs and Remote Sensing Satellite Imagery for Crop Analysis in Arid Environments
The classification of walnuts in the dry areas of Ganquan Township, Awati County, **njiang, is investigated in this research using traditional...
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A Geospatial Perspective on the Factors Influencing Tourist Dining Satisfaction
Comprehending the elements that shape tourist dining satisfaction is pivotal for refining the travel encounter and boosting the prospects of repeat...
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Analysis of Changes and Influences Using Remote Sensing and Geodetectors on How Human Activity Affects Ulansuhai Lake Basin Ecology
Investigating the Ulansuhai Lake in southwest Inner Mongolia, China, this study uses a holistic approach that incorporates many datasets and...
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High-resolution Pléiades data: an in-depth analysis of applications and future prospects
Thiscomprehensive review explores the multifaceted applications of high-resolution Pléiades data across various scientific disciplines, including...
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Spatial assessment of produced hailstorm maps in severely affected areas in Northern Thailand based on dual-polarimetric radar using the cloud computing platform Google Earth Engine
The objective of this study was to use dual-polarimetric radar data to create an hourly hail product, which would then be analyzed using Google Earth...
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Inter-disciplinary Approaches to Risk Management and Information Sharing for Resilience to the Changing Climate
This paper examines the complexity of vulnerability, risk perception, and adaptation strategies in the context of climate change, with a focus on the...
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Simulating urban energy use under climate change scenarios and retrofit plans in coastal Texas
Rapid urbanization, climate change, and aging infrastructure pose significant challenges to achieving sustainability and resilience goals in urban...
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An empirical likelihood approach for detecting spatial clusters of continuous data
Spatial scan statistics are an important tool for detecting and evaluating the statistical significance of spatial clusters and have widespread...
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Towards Responsible Urban Geospatial AI: Insights From the White and Grey Literatures
Artificial intelligence (AI) has increasingly been integrated into various domains, significantly impacting geospatial applications. Machine learning...
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Assessment of beach morphological characteristics and conservation strategies for blue flag beaches on the West Coast of India
Beach morphology assessment is very important for the sustainable development of beaches and the implementation of beach development activities...