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221 articles for “spatial data”
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VALIDATION OF WATERSHED MANAGEMENT PLAN AT TARADGAON REGION USING GEOPHYSICAL & GIS TECHNIQUES
Abstract: Water is an essential requirement for the survival of the living organisms on earth planet. Though it seems to be available in sufficient amount, unfortunately its distribution in space and time is highly scattered. Therefore, water resources management practices should be identified using the spatial data set collected through remote sensing and other tools for its optimistic usage and exploration. This study investigates the utilization of Geophysical and GIS Techniques …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Integration of GIS and AI in Urban Planning and Disaster Management
Abstract: The rapid pace of urbanization, combined with the increasing frequency and intensity of natural disasters, necessitates the development of innovative solutions for urban planning and disaster management. Geographic information systems (GIS) and artificial intelligence (AI) have emerged as transformative technologies capable of addressing these challenges. GIS provides a robust framework for spatial data analysis, while AI enhances decision-making through predictive analytics and automation. This paper explores the integration of GIS …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 20–36 Read article
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An AI-Driven IoT Framework for Autonomous Quality Assurance in Optical Lens Manufacturing
Abstract: The evolution of high-precision optics—ranging from smartphone micro-lenses to high-end astronomical glass—demands unprecedented accuracy in manufacturing. Traditional inspection methods, reliant on manual sampling or static automated optical inspection (AOI), often fail to bridge the gap between high-speed production and the detection of microscopic surface aberrations. This paper introduces an integrated architecture combining the Internet of Things (IoT) and Deep Learning-based decision-making systems to revolutionize lens quality control. By deploying an …
Published in International Journal of Optical Innovations & Research · Vol. 4, Issue 1, 2026 · pp. 36–41 Read article
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Information-Based Decision in Telecommunication: A Web GIS Approach
Abstract: Nowadays, information advantage and utilization has become a very important topic. Technology is rapidly changing and advantage depends more and more on the amount of information that is available in real time. Geographic Information System (GIS) is of great importance in accomplishing modern day task of information management. This paper focuses on the direct application of GIS solutions to telecommunications sector, how to achieve maximum output, reduce cost of service …
Published in Journal of Geotechnical Engineering · Vol. 2, Issue 3, 2015 · pp. 6–9 Read article
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Evaluation of Best Watershed Management Practice for Sediment Yield Reduction (The Case Study of Baro Akobo of Upper Gilo Watershed, Ethiopia)
Abstract: This study aimed to estimate the sediment yield, evaluating its distribution, and compare the selected Best Management Practices (BMPs) and identify relatively effective management practices to alleviate soil erosion and sedimentation yield in the Upper Gillo watershed. Soil and Water Assessment Tool (SWAT) model with the interface of Geographical Information System (GIS) were used to simulate, streamflow and sediment yield. Meteorological, hydrological and spatial data were used while modeling the …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 1–17 Read article
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Change Detection of Land Use/Land Cover in Upper Ganga Canal Command, India, Using Arc-GIS Tools
Abstract: The rapid growth of urban population in India is a cause of concern among the country’s urban and town planners for efficient urban planning. The drastic growth of urban areas has resulted in sharp land use and land cover changes. In recent years, the significance of spatial data technologies, especially the application of remotely sensed data and geographical information system (GIS) has been widely used. The present study investigates the …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 3, 2013 · pp. 26–32 Read article
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Landslide Susceptibility Mapping: A Case Study of Cauvery Basin and East Flowing Rivers South of Cauvery Basin, India
Abstract: Landslide is a geological phenomenon which is directly and indirectly creates effects on life.It causes human property damages, roads breaking, building collapsing, other constructiondevastation and also huge loss of life. To manage such kind of hazard there is a need toidentify landslide prone zones. This paper addressed a GIS based spatial data analysis forlandslide susceptibility mapping in Cauvery and East Flowing Rivers South of Cauvery Basin,India. Seven important causative factors …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 1, 2015 · pp. 24–36 Read article
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Potential Site Suitability Analysis for Wind Farm Development Using GIS and Multi-Criteria Analysis
Abstract: The energy consumption of most developing countries like Ethiopia highly depends on biomass and imported fuels. These sources of energy have imposed severe impacts on the environment.Recently, Ethiopia has begun to harness electricity from renewable energies mainly from hydro- dams to meet its energy need. However, the existing energy production of the hydro-dams declines during dry season due to shortage of river waters. So, it is important to look for …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 1, 2020 · pp. 1–15 Read article
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A Study on Soil Monitoring and Control
Abstract: Past laborers have proposed the utilization of multivariate geostatistics for the issue of assessing fleeting change in soil properties for soil observing; however this still cannot seem to be assessed. We exhibit a contextual analysis of this approach from the Humber-Trent area in North East Britain. We extricated information from two sources on cobalt, nickel and vanadium focuses in the topsoil on two dates. Auto variograms were evaluated for each …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 7, Issue 3, 2018 · pp. 14–16 Read article
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Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 1–9 Read article
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Comparison of Air Pollution Levels from Ground Monitoring Stations and Satellite Data
Abstract: Air pollution is mainly due to the release of pollutants into the atmosphere which are detrimental to the planet and human health in particular. Monitoring for the air quality parameters is important because it may lead to the adverse effects on the environment. The quantitative analysis of the air pollution spreads over the Bangalore city is carried out using two different data sources, one from ground monitoring stations and the …
Published in Journal of Remote Sensing & GIS · Vol. 12, Issue 3, 2021 · pp. 9–25 Read article
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A Comprehensive survey of robust image quality metrics for satellite imagery
Abstract: Satellite imagery is essential for applications like environmental monitoring, urban development, precision agriculture, defence surveillance, and disaster response. The reliability of these applications is closely tied to the quality of the captured images, which may be compromised by atmospheric effects, sensor imperfections, compression artifacts, and transmission noise. As a result, accurate image quality assessment (IQA) is essential to ensure trustworthy analysis and informed decision-making in satellite-based systems. The distinctive properties …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 7–20 Read article
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Real-Time IR Intensity Measurement and Computation for Systems
Abstract: In contemporary defense mechanisms, infrared (IR) sensing has become a fundamental technology for identifying and neutralizing heat-seeking threats, especially concerning aircraft protection. Conventional IR detection systems, such as single-channel radiometers and basic thermal sensors, frequently face restrictions due to low spatial resolution, sluggish data processing, and inadequate user engagement. These constraints can impede the prompt identification of dangers like missile launches or flare activations, potentially endangering mission safety. Additionally, numerous …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 3, 2025 · pp. 8–13 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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Remote Sensing and GIS-Based Approaches for Soil Salinization Assessment: A Comprehensive Review
Abstract: Soil salinization, a critical environmental challenge, significantly impacts land productivity, agricultural yields, and contributes to desertification, particularly in arid and semi-arid regions. Early detection and effective management of soil salinity are essential for sustainable agriculture and land management. Remote sensing (RS) and geographic information systems (GIS) have emerged as indispensable tools for mapping, monitoring, and analyzing soil salinity over vast areas. RS provides multi-temporal and multi-spectral data that helps identify …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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A Contribution to the Improvement of Water Supply Network Maintenance in Cameroon Using Mobile GIS and Web Mapping
Abstract: The management of the water supply networks (WSN) of Cameroon is a very big challenge, particularly in terms of maintenance and monitoring. This paper aimed at contributing to the improvement of the reactive maintenance of the water networks of Cameroon but also to open a way towards a proactive maintenance in this country. It demonstrated the great advantage offered by a tablet using a mobile GIS (Geographic Information System) for …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 3, 2016 · pp. 47–56 Read article
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Spatial Crime Pattern using Geographical Information System: A Review
Abstract: The article describes the development of crime pattern analysis using geographic information system (GIS). Criminal activities nowadays continue to be a major concern in contemporary society in many countries around the world. Most nation are faced with unacceptable level of crime such as murder, raped, robbery, and many crime that gives bad effect to the communities in the country. Therefore specific studies need to be conducted to overcome this problem. …
Published in Recent Trends in Civil Engineering & Technology · Vol. 4, Issue 3, 2014 · pp. 11–15 Read article
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Malicious Network Traffic Detection Using Hybrid Feature Selection with Ensemble Neural Network
Abstract: The detection of malicious network traffic is a critical aspect of cybersecurity, aiming to protect sensitive data and maintain the integrity of network systems. This study introduces a novel approach that combines hybrid feature selection with ensemble neural networks to enhance the accuracy and efficiency of malicious network traffic detection. The dataset used in this study was obtained from Kaggle and offers a wide-ranging and varied collection of network traffic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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Progress and Uses of Satellite Remote Sensing
Abstract: Satellite remote sensing has become an important tool for watching, studying, and controlling both natural and man-made systems on Earth. Satellite sensors collect electromagnetic radiation that is reflected or transmitted from the Earth's surface. This data is needed for environmental monitoring, resource management, and hazard assessment. Recent improvements in sensor resolution, data processing techniques, and cloud-based platforms have made remote sensing applications much more accurate and easier to use. The …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 8–19 Read article