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3D point cloud reconstruction using panoramic images
Panorama photogrammetry, the process of analyzing panoramic images, has gained popularity in close-range photogrammetry for 3D reconstruction over...
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Spatial analysis and extent of soil erosion risk using the RUSLE approach in the Swat River Basin, Eastern Hindukush
Soil erosion is a severe issue posing a number of adverse effects on the environment. It is a prominent hazard damaging the fertile agricultural...
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Use of UAV imagery for land consolidation: analysis of the accuracy of the resulting orthophotomosaic in relation to the GNSS RTK measurement
Land consolidation projects are fundamental tools that enable the reorganization of agricultural space to enhance agricultural productivity and...
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The agro-ecological capacity of north and central Sistan-Baluchestan Province, Iran, for canola cultivation determined by GIS and analytical hierarchical process
Identification of potential lands on the basis of their environmental benefits and constraints can greatly contribute to the stability of canola...
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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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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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Speeding up estimation of spatially varying coefficients models
Spatially varying coefficient models, such as GWR (Brunsdon et al. in Geogr Anal 28:281–298, 1996 and McMillen in J Urban Econ 40:100–124, 1996),...
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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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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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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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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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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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Utilizing a fusion of remote sensing data and machine learning models to forecast flood risks to agriculture in Hanoi City, Vietnam
Floods represent a substantial and consequential from of natural disasters within Hanoi City. To minimize the detrimental effects on agriculture, an...
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ICN: Interactive convolutional network for forecasting travel demand of shared micromobility
Accurate shared micromobility demand predictions are essential for transportation planning and management. Although deep learning methods provide...
