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Geoinformatics and Analytic Hierarchy Process (AHP) in modelling groundwater potential in Obudu Plateau, Southeastern Nigeria Bamenda Massif
Water is a vital resource used in effective sanitation, hygiene, drinking and agricultural uses. This study was in Obudu Plateau covering an area of...
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The performance of landslides frequency-area distribution analyses using a newly developed fully automatic tool
Frequency-Area Distribution (FAD) analyses were introduced to landslides research since the early 2000’s. This technique is a powerful tool that...
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Groundwater potential recharge assessment in Southern Mediterranean basin using GIS and remote sensing tools: case of Khalled- Teboursouk basin, karst aquifer
In the Khaled-Teboursouk basin (Southern Mediterranean Basin), karstic aquifers are the main sources of drinking and irrigation water. They play a...
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Measurement of regional green finance development and its coordination with economic development: a study on the Yangtze River Delta region of China
The green transformation of industry and sustainable economic development both require considerable investment. In this regard, green finance that is...
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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...