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Assessing the cooling impact of the urban park during pre- and post-cyclone using Landsat images
Cities are far warmer than their surroundings. Using vegetation is one of the best techniques to mitigate the effects of urban heat islands (UHI)....
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Understanding pedestrian movement using urban sensing technologies: the promise of audio-based sensors
While various sensors have been deployed to monitor vehicular flows, sensing pedestrian movement is still nascent. Yet walking is a significant mode...
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Effect of neighbourhood and its configurations on urban growth prediction of an unplanned metropolitan region
Rapid urbanisation, especially in develo** countries like India, has resulted in unplanned and haphazard urban expansion. With saturated urban...
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Analyzing effects of environmental indices on satellite remote sensing land surface temperature using spatial regression models
Land Surface Temperature (LST) is a vital satellite remote sensing-driven indicator of earth heat studies. LST can provide information about urban...
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Combining satellite data and artificial intelligence with a crop growth model to enhance rice yield estimation and crop management practices
Rice is the staple food of more than half of the world’s population, especially in Asia, where rice provides more than 50% of the caloric supply for...
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Morphometric analysis and prioritization of sub-watersheds of the Inaouene River upstream of the Idris I dam using the GIS techniques
The prioritization of watersheds has increasingly become an optimal and relevant approach for the management and planning against natural hazards....
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Detection of land subsidence using hybrid and ensemble deep learning models
Land subsidence (LS) is among the most prominent forms of subsurface erosion and geomorphological hazards. This study used two deep learning (DL)...
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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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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...
