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148 articles for “satellite images”
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A Study of Cloud-Enabled Deep Learning for Monitoring and Predicting Soil Health in Agriculture
Abstract: Soil health is a critical factor in ensuring sustainable agricultural practices and food security. Traditional methods for soil health assessment are often time-consuming, localized, and lack scalability. This study explores the integration of cloud-enabled deep learning techniques to monitor and predict soil health efficiently. Leveraging data from IoT sensors, satellite imagery, and lab-based analyses, a cloud-based framework is proposed to process and analyze soil health parameters such as pH, moisture …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 8–16 Read article
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Identification of Groundwater Potential Zone of Chhatrapati Sambhajinagar Tehsil Using Remote Sensing and GIS Technique
Abstract: Groundwater is one of the most vital and renewable natural resources, playing a key role in sustaining domestic, agricultural, and industrial activities, particularly in semi-arid regions like Chhatrapati Sambhajinagar tehsil in Maharashtra. The growing population, rising water demand, and irregular rainfall patterns have resulted in a pressing need to locate potential groundwater zones for sustainable water management. This research employs Remote Sensing (RS) and Geographic Information System (GIS) techniques to …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 2, 2025 · pp. 61–73 Read article
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A study in Leveraging Deep Learning and IoT Arrays for Dynamic, Hyper-Local Atmospheric Intelligence
Abstract: The critical demand for high-resolution, actionable atmospheric data is challenged by the high cost and sparse coverage of traditional regulatory monitoring stations. This paper explores the synergistic paradigm shift enabled by integrating low-cost, dense Internet of Things (IoT) sensor arrays with advanced Artificial Intelligence (AI) methodologies, specifically Deep Learning (DL) models. We address the primary limitations of low-cost sensors—inherent bias, sensitivity to environmental drift (temperature/humidity), and calibration inconsistency—by utilizing AI …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 50–62 Read article
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Assessing Land use Dynamics and Policies in the Waghur Basin Using Geospatial Techniques
Abstract: Changes in land use and land cover (LULC) are key indicators of human–environment interactions, especially in river basins where anthropogenic pressure is increasing. This study evaluated land use change and policy implications in the Waghur Basin, India, through a geospatial analysis of 35 years (1990–2025). Remote sensing and GIS-based supervised classification with the help of machine learning methods were applied to multi-temporal Land satellite images to create LULC maps and …
Published in International Journal of Land · Vol. 3, Issue 1, 2026 · pp. 38–49 Read article
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Spatiotemporal Modeling of Soil Erosion Under Agricultural Expansion in the Amravati Basin, India Using RUSLE–GIS
Abstract: Agricultural expansion and soil erosion are important environmental issues in areas where agriculture is a major source of livelihood. This study analyzes the spatial and temporal patterns of soil erosion in the Amravati Basin of Maharashtra and evaluates the impact of agricultural expansion using the Revised Universal Soil Loss Equation (RUSLE) integrated with Geographic Information System (GIS) techniques. Multi-source data, such as satellite imagery, rainfall records, soil characteristics, and topography …
Published in International Journal of Land · Vol. 3, Issue 1, 2026 · pp. 50–62 Read article
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AI-Driven Lightning Strike Prediction Using Polymer-Integrated Sensor Platforms for Climate-Resilient Energy Systems in India
Abstract: Lightning strikes are a major climate-related threat to India, resulting in severe human injuries as well as regular damages to the power transmission network and renewable energy infrastructure. This research aims to introduce the concept of an AI-based lightning strike prediction and mitigation system with the integration of polymers for making climate-resilient energy infrastructure. Multidata are collected based on satellite images, climate variables, as well as surface-based sensing modules, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 234–242 Read article
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Integrated Remote Sensing Indices for Assessing Pre-Monsoon Water Scarcity Vulnerability in a Semi-Arid Coastal Ecosystem: A Case Study of Barda Wildlife Sanctuary, Gujarat, India
Abstract: Freshwater availability fundamentally shapes the structure and function of dryland ecosystems, where evapotranspiration exceeds precipitation for most of the year. Protected areas in semiarid regions face intensifying hydrological stress from climate variability, growing wildlife populations, and resident human communities, yet systematic spatial assessments of water scarcity remain scarce for many critical habitats. The Barda Wildlife Sanctuary in coastal Gujarat, India, has recently become a secondary home for the endangered Asiatic …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Explainable GeoAI-Based Multi-Temporal Remote Sensing Framework for Early Detection of Climate-Induced Land Cover Transformation
Abstract: Climate change has emerged as one of the primary drivers of rapid land cover transformation, affecting ecosystems, agricultural productivity, biodiversity, and regional sustainability. Traditional remote sensing approaches often face challenges in detecting subtle and early-stage land cover changes due to limitations in temporal analysis and model interpretability. This study proposes an Explainable GeoAI-based multi-temporal remote sensing framework for the early detection of climate-induced land cover transformation using multi-source satellite imagery …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems
Abstract: Rapid environmental change driven by climate variability, urbanization, and ecological degradation has intensified the need for innovative monitoring systems capable of providing real-time ecological intelligence. Traditional environmental monitoring methods often rely on satellite imaging and stationary sensors, which may lack fine-scale biological sensitivity. In contrast, insects—due to their abundance, ecological diversity, and rapid responsiveness to environmental shifts—offer a powerful yet underutilized source of bio-sensing data. This paper introduces the concept …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 17–26 Read article
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Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Land Use and Land Cover Change Detection Study at Pennar River Estuary, Nellore District, Andhra Pradesh, Southeast Coast of India
Abstract: Coastal zones are the most valuable and dynamic places on Earth. A large portion of the world’s population has habitat coastal areas. Fertile coastal low lands, abundant marine resources, water transportation, aesthetic beauty and intrinsic values have long motivated coastal habitation. Two-thirds of the world’s fish catch, and many marine species, depend on coastal wetlands for their survival. The process of coastal morpho-dynamics has resulted in environmental problems such as …
Published in Journal of Geotechnical Engineering · Vol. 1, Issue 1, 2014 · pp. 1–9 Read article
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Remote Sensing to Process for Information
Abstract: AbstractRemote sensing ever procuring sensibility acted from atmospheric windows to vary radiation waves mm ranges from thermal status to gigahertz from radio detection and ranging (RADAR). Natural electromagnetic waves have originated formation of passive sensor and artificial emissions origin active sensor. Aerial photography of civil engineering has prompting rescues from satellite imagery. Individual pixel analysis from focused regime scoped analytical methods to origin knitted full image special pattern. Evolution of …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 3, 2019 · pp. 24–30 Read article
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Appraisal of Household Potable Water Accessibility in Sub–Urban Areas of Oyo State: Geographic Information System and Remote Sensing Approach
Abstract: This study centred on assessing potable water accessibility in sub-urban areas using Fiditi as a case study. This study adopted a service area network and overlay operation in ArcGIS to achieve the aim of this study. Locational coordinates of all the facilities were obtained through Garmin 76 handheld GPS. Also, ground truthing was adopted to distinguish residential buildings from non - residential buildings. Coordinates (X.Y, Z) of the study were …
Published in Journal of Water Resource Engineering and Management · Vol. 10, Issue 1, 2023 · pp. 1–14 Read article
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Impact of Salinity Ingression Prevention Structures (Bandharas) on Different Landuse Categories in Abdasa Taluka of Kachchh Region, Gujarat-India
Abstract: Kachchh has a coastline of 406 km that faces various problems due to the salinity ingression and some developmental initiatives like ports, industries, etc. To check salinity ingression in the adjacent land of coastal areas, Government of Gujarat has taken some corrective measures in which construction of bandharas is one such attempt to prevent ingress of salinity along the coastal belt of Kachchh. For this activity, the government has invested …
Published in Recent Trends in Civil Engineering & Technology · Vol. 3, Issue 2, 2013 · pp. 49–61 Read article
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Spatio-Temporal Analyses for Ahad Watershed Management in Rajasthan State, India: Applications of Geoinformatics
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Ahad watershed, covering Udaipur, of Rajasthan divides the drainage systems of the Bay of Bengal and the Arabian Sea. City Udaipur has remained in focus due to its strategic location, natural beauty, history for valor and chivalry; and hence a worldwide tourist hub. But due to population sprawl, industrialization, influx of tourists, mining etc.; the area is reeling under environmental stress. …
Published in Journal of Remote Sensing & GIS · Vol. 2, Issue 1, 2011 · pp. 34–40 Read article
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Designing a Geo-spatial framework for Rapid Damage Assessment: A Case Study
Abstract: With increasing number of natural hazards and disasters followed by economic losses, terms like disaster preparedness, response, relief and rehabilitation has become common to the decision makers as well as ordinary people. Since there is a great influence of occurrence of hazards and disaster upon a country’s economic growth, all government bodies are seek to find a way to reduce the adverse effect of a disaster. Rapid Damage Assessment (RDA) …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 2, 2012 · pp. 24–33 Read article
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Multi-Criteria Decision Making and Geoinformatics: Evaluating Tools for Alternative Road Network in Hilly Terrain
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Mobility is the backbone of activity system of the human race. Road transportation network has been an essential infrastructure facility, which needs to be developed and regularly maintained to detain increasing population and economy. A road network should offer connectivity throughout the year without any natural and anthropogenic hindrance. In the Ladakh province of Jammu and Kashmir, where road is the largest …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 3, 2012 · pp. 31–41 Read article
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Automation Process of Watershed Assessment: Remote Sensing & GIS Techniques
Abstract: A number of water reservoirs, lakes are found in the study area such as Bhagora Tal, Chand Pata Tal, Madhav Lake, Signiwas Tal, Raichand Kheri Tal, etc. These water bodies are occupying low land, plain lands, surrounded by hills and are generally used for domestic water supply, hydel power generation and irrigation purposes. They depend on the availability of seasonal water in nature. The purpose of the watershed assessment in …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 1, 2013 · pp. 1–6 Read article
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DEM Processing Methods
Abstract: Digital elevation model (DEM) is used generically to mean the digital cartographic representation of the earth in any form, rectangular grids or lattices, triangular networks or irregular spot heights, and breaklines. This paper aims to present a review of recent techniques used in satellite image processing, especially with focus on DEM processing. The reviewed approaches are classified according to the various techniques used in processing DEM, various filters used in …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 1, 2013 · pp. 13–28 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