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221 articles for “spatial data”
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Spatio-Temporal Variability Assessment of Biophysical Parameters in the Tropical Deciduous Broadleaf Forest in Eastern India
Abstract: In the recent years, study of phenology variation has taken significance quintessential part of a bigger research agenda of seasonal change. This study has attempted to (a) analyse the monthly, quarterly, inter-annual and seasonal variation of vegetation (b) observe the variation in phenological transition dates of tropical deciduous broadleaf forest in eastern India from 2001 to 2014 (c) correlation between NDVI (Normalized Difference Vegetation Index) and LST (Land Surface Temperature) …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 2, 2015 · pp. 61–68 Read article
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Radial Basis Function Neural Networks for Rainfall-Runoff Modeling
Abstract: Rainfall-runoff process is purely nonlinear and varies spatially as well as temporally. Any hydrological model requires many parameters which represent different components of the process. Availability of all the parameters is difficult for any catchment and probabilistic generation of such type of data is impossible. Under such circumstances, artificial neural networks (ANNs) have proven to be a better tool to model the rainfall-runoff process with minimum available data. The present …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 2, 2014 · pp. 11–18 Read article
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Fuzzy C-Means
Abstract: AbstractFuzzy c-means (FCM) incorporates spatial information into the membership function for clustering and uses it for obtaining the enhanced image. The main aim of the project is to develop a user friendly graphical user interface, manipulate and retrieve the data and run models for routing application in terrain trafficability. In the classification process, first clustering is done which involves grouping similar pixels (or forming clusters) in the test image based …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 10–16 Read article
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Harnessing Artificial Intelligence for Precision Physics: A Machine Learning Framework for Data Reconstruction in Support of India's Deep-Tech Missions
Abstract: India's emergence as a global leader in deep-tech innovation is driven by ambitious scientific megaprojects, including the Laser Interferometer Gravitational-Wave Observatory (LIGO)-India, the X-ray Polarimeter Satellite (XPoSat), the Aditya-L1 solar observatory, and the National Quantum Mission (NQM). However, the unprecedented scale and complexity of the observational data generated by these missions present severe computational bottlenecks. Traditional analytical frameworks struggle with non-stationary noise transients, diffusion blurring, and the exponential scaling limits …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 2, 2026 · pp. 48–55 Read article
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Hyperspectral Image Compression and Classification: A Survey
Abstract: The applications of hyperspectral images (HSI) are many, which include agriculture, food quality, remote sensing, medical diagnostics and safety assessment. Hyperspectral image analysis has been used for detecting contaminants and identifying defects in food. It also utilizes advanced software and hardware tools hence allowing users to diagnose and detect pathologies. In this paper an avant-garde investigation about Hyperspectral image compression and classification techniques which can be used in various applications …
Published in Journal of Remote Sensing & GIS · Vol. 13, Issue 4, 2022 · pp. 9–23 Read article
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Watermarking Analysis of Digital Image Using Various Approaches: A Review
Abstract: AbstractFor present security to the digital media on the net the very beneficial generation is, virtual watermarking (DW). Watermark is an image or pattern in document which is used to identify data authentication and data integrity. The user can check the watermarked records with the watermark key and watermarking extraction system. The different techniques of watermarking reviewed in this paper are: least significant bit (LSB), robust, discrete cosine transform (DCT), …
Published in Journal of Open Source Developments · Vol. 4, Issue 1, 2017 · pp. 30–36 Read article
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Modelling of PV systems installations using Geographical Information System:The case of Toluca (Mexico)
Abstract: The goal of the paper is determining the available capacity of photovoltaic power generation density of a defined area through a modeling process using GIS. The method identifies the spots, and calculates the available area that receives solar radiation, taking into account geographical characteristics and spatial distribution of spots. Tilt and orientation are also considered to evaluate shading. The program identifies suitable spots valid for PV power generation. Power density …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 2, 2020 · pp. 45–61 Read article
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Spatial Distribution and Species Diversity of Marine Bibalves Along the Rocky Intertidal Zone of Veraval, Gujarat, India.
Abstract: The rocky intertidal shoreline of Veraval, located along the Saurashtra coast of Gujarat, serves as a vital habitat for various marine organisms due to its unique composition of rocky- sandy patches and tidal pools. This study was undertaken to evaluate the diversity and spatial distribution of marine bivalves at the Jaaleshwar coast (20º 54’ 36.210’’ N, 70º 21’ 09.090’’ E). Field observations were carried out over nine months from July …
Published in International Journal of Marine Life · Vol. 3, Issue 1, 2026 · pp. 25–30 Read article
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Innovations in Forensic Imaging: Leveraging Deep Learning for Authenticity Verification
Abstract: The advent of digital media has necessitated advancements in forensic imaging, especially for the detection and verification of image authenticity. In this context, digital image forensics plays a critical role in identifying manipulated or counterfeit images. This paper presents a new method that uses deep learning techniques to enhance image forgery detection. The approach utilizes a convolutional neural network (CNN) to automatically learn and recognize the intricate features present in …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
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Identification and Categorization of Brain Tumors
Abstract: Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Strategic and well-thought-out treatment planning significantly contributes to improving a patient's overall quality of life. Many different imaging techniques, such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and also ultrasound are used to evaluate tumors in different parts of the body, with a focus on using MRI images for brain tumors. It is …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 32–37 Read article
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A Review Paper on Role of GIS in Development of Smart Cities
Abstract: Smart cities may define as a sustainable growth of urban area that gives an extra ordinary living condition by improving economy, environment, mobility, governance and energy efficiency etc. Smart cities are enabling automation and real-time integrated city monitoring and management through various technologies like a geographic information systems (GIS), global positioning systems (GPS), and remote sensing (RS) through the network of sensors, cameras, wireless devices and data centers. GIS plays …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 2, 2017 · pp. 38–44 Read article
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Geochemometric Assessment of Primordial Radionuclides and Trace Elements in Coastal Sediments: Environmental and Radiological Implications for South India
Abstract: This study focuses on environmental radioactivity and trace element contamination in coastal sediments along the southern region of the Indian subcontinent, from the Palar River to Pulicat Lake. Utilizing gamma-ray spectroscopy with a NaI (Tl) detector, along with atomic absorption spectroscopy, the research examines the spatial distribution and activity concentrations of primordial radionuclides—namely, 238U, 232Th, and 40K—as well as trace elements such as Ni, Pb, Mn, Zn, Cu, Co, Fe, …
Published in International Journal of Minerals · Vol. 1, Issue 1, 2024 · pp. 33–37 Read article
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Spatio-temporal Distribution of Wildfire Occurrences on the Lake Floor of Lake Chad Based on Remotely Sensed Data
Abstract: Normal 0 false false false EN-US X-NONE X-NONE This paper analyzes the spatio-temporal distribution of wildfire occurrences on the lake floor of the Lake Chad using satellite remote sensing data. A combination of field survey and computation of fire pixel counts from MODIS images for the period 2001–2009 form the basis for this analysis. The result revealed that the highest number of fires occurred in 2001, with varying figures in …
Published in Journal of Remote Sensing & GIS · Vol. 2, Issue 2, 2011 · pp. 5–12 Read article
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Digital Twins in Human Anatomy and Physiology Education: Current Status and Future Perspectives
Abstract: Digital Twin (DT) technology has emerged as a promising innovation in healthcare by creating dynamic virtual representations of physical systems through the integration of artificial intelligence (AI), computational modeling, real-time data, and advanced visualization technologies. Although DTs have been widely investigated in precision medicine and clinical decision-making, their application in Human Anatomy and Physiology (HAP) education remains in its early stages. This review aims to examine the current status, educational …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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Zonation of Potential Groundwater and Its Spatial Correlation with Indices and Boreholes: Western Region of Blue Nile Basin, Ethiopia
Abstract: Water has a significant role in day to day life of people to fulfill their requirements. Although, study area is a part of Blue Nile basin but it has great water scarcity because of its topographic and geological nature. It has been observed during the field visit that people are travelling long to get the water from remote areas. Productivity through groundwater is quite high as compared to surface water, …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 3, 2016 · pp. 22–34 Read article
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Remote Sensing and GIS-Based Approaches for Groundwater Contamination Assessment: A Comprehensive Review of Methods, Sources, and Emerging Trends
Abstract: Groundwater contamination poses a serious threat to sustainable water resources, especially in developing regions with limited monitoring infrastructure. This review provides an in-depth analysis of remote sensing (RS) and geographic information system (GIS) techniques applied to identify, monitor, and assess groundwater contamination. The study categorizes major sources of pollution, including industrial effluents, agricultural runoff, and geogenic inputs and examines how multispectral and hyperspectral satellite data contribute to indirect mapping of …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 39–49 Read article
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Assessment of Soil Erosion Impacts at the Panchhari Sub-district of Chittagong Hill Tracts in Bangladesh Using Remote Sensing and GIS Techniques Based on RUSLE Model
Abstract: Soil erosion has been identified as a significant issue around the world. It is often exacerbated due to land deterioration, conversion of agricultural land, and other anthropogenic activities. It negatively impacts soil productivity, water quality deterioration, river and reservoir bed sedimentation, nutrient loss, and sustainability of natural resources. Understanding the controlling factors of soil erosion can help us to identify erosion-prone areas and improve land use management. The novelty of …
Published in International Journal of Climate Conditions · Vol. 1, Issue 2, 2024 · pp. 9–30 Read article
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Refractive symmetry analysis of fellow eyes
Abstract: The biological structure of human body frequently exhibit symmetry. The hypothesis of refractive symmetry assumes that the two eyes of an individual should have homogeneous refractive properties. Optometry clinical management mostly rely upon meridional magnification effect, spatial distortion, and binocular spatial perception while prescribing refractive correction. Additionally, bilateral symmetry analysis approach has proven very informative for better diagnosis. This study was multi-centered, cross-sectional, analytical, and retrospective, where we studied refractive …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 3, 2023 · pp. 17–35 Read article
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Assessing Urban Land Utilization Using Geographical Information System
Abstract: In all urban centers of the Tigray region, Ethiopia in general, there is inefficient urban land utilization. Inefficient buildable urban land development and management is manifested in the form of vacant, partially utilized and underutilized lands. Most of these lands are exposed to urban sprawl, squatting and land speculation. Moreover, there is inadequate infrastructure provision, under regulation, and shortage of buildable lands; speculation and tenure insecurity are the problems of …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 1, 2019 · pp. 9–23 Read article
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Localization Based Beamforming Approach to Audio Source Separation from Binaural Mixtures
Abstract: This paper presents an approach of localization on the basis of audio source separation from binaural mixtures with adaptive beamforming. A new source localization technique is proposed to spatially localize the sources with two degrees of freedom (azimuth and elevation). We used a head related transfer function to synthesize the binaural mixture that introduces the interaural differences to the source signals. The interaural cues are technically employed to estimate the …
Published in Current Trends in Signal Processing · Vol. 1, Issue 1-3, 2025 · pp. 1–10 Read article