https://techjournals.stmjournals.in/index.php/JoRSG/issue/feedJournal of Remote Sensing & GIS2024-02-22T06:19:15+00:00Open Journal Systems<p align="center"><strong>Journal of Remote Sensing & GIS (JoRSG)</strong></p><p align="center"><strong>ISSN (Online):</strong><strong> </strong>2230-7990</p><p align="center"><strong>ISSN(Print)</strong>: 2321–421X</p><p align="center"><strong> </strong></p><p><strong> </strong></p><p align="center"><strong>Click </strong><a href="/index.php/JoRSG/about/editorialTeam"><strong>here</strong></a><strong> for complete Editorial Board</strong></p><p align="center"><strong>Scientific Journal Impact Factor (SJIF): 6.105</strong><strong></strong></p><p align="center"><strong> </strong></p><p align="center"><strong> </strong></p><p><strong>Journal of Remote Sensing & GIS (JoRSG)</strong></p><p>Journal of Remote Sensing & GIS (JoRSG) is a print and e-journal which contains good quality- original research papers, review papers, short communications, and book reviews that focus on practical and theoretical issues, collection, analysis, modeling, interpretation, and display of spatial data, connections between GIS and related technologies and also new GIS applications which help to solve current issues & problems. It's a triannual journal, started in 2010.</p><p><strong>Journal DOI No</strong>: <strong>10.37591/JoRSG</strong></p><p><strong>Indexing:</strong> The Journal is indexed in DRJI, Citefactor, Journal TOC, Google Scholar, <a href="https://journals.indexcopernicus.com/search/details?id=41969">Index Copernicus (ICV</a> : 54.42)</p><p><strong> </strong></p><p><strong>Focus and Scope Covers</strong></p><ul><li>Aerial Photography</li><li>Cartography and Map Publishing</li><li>Geoinformatics</li><li>Geo Physics</li><li>Image Compression and Image Processing</li><li>Remote Sensing, Spatial Science, Surveying and Mapping</li><li>Global Positioning Systems (GPS)</li></ul><p> </p><p><strong>Submission of Paper:</strong></p><p>All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance. Manuscripts are invited from academicians, students, research scholars and faculties for publication consideration.</p><p>Papers are accepted for editorial consideration through email <strong>tanvi.singh@stmjournals.com</strong></p><p> </p><p><strong>Plagiarism</strong>: All the articles will be checked through <strong>Plagiarism Software</strong> before publication. </p><p><strong>Abbreviation</strong>: <strong>(JoRSG)</strong></p><p><strong>Frequency</strong>: Three issues per year</p><p> </p><p><strong><a href="/index.php/JoRSG/about/editorialPolicies#peerReviewProcess">Peer Review Policy</a></strong></p><p><strong><a href="/index.php/JoRSG/about/editorialTeam">Editorial Board</a></strong></p><p><strong><a href="http://stmjournals.com/pdf/Author-Guidelines-stmjournals.pdf">Instructions to Authors</a></strong></p><p> </p><p><img src="http://stmjournals.com/images/107.jpg" alt="journal of remote sensing" /></p><p><strong>Publisher:</strong> STM Journals, an imprint of CELNET (Consortium e-Learning Network Pvt. Ltd.)</p><p><strong>Address:</strong> A-118, 1st Floor, Sector-63, Noida, Uttar Pradesh-201301, India</p><p><strong>Phone no.:</strong> (+91)120-4781-215/ Email: <a href="mailto:cete@celnet.in" target="_blank">cete@celnet.in</a></p>https://techjournals.stmjournals.in/index.php/JoRSG/article/view/1521Exploring the Benefits and Efficacy of Green Cloud Computing Techniques for Distributing Educational Library Data in India's Remote Regions During a Pandemic2024-02-22T06:19:15+00:00Shivshankar Bharatpureananyaji23k@gmail.comAnanya Samanta Janaananyaji23k@gmail.com<p><em>The COVID-19 pandemic has underscored the necessity for digital infrastructure and accessibility, particularly in the education sector. This paper investigates the benefits and effectiveness of utilizing Green Cloud Computing (GCC) techniques for the dissemination of educational library data in remote regions of India during this critical period. The GCC model, known for its energy efficiency and reduced environmental impact, is proposed as a robust, scalable, and eco-friendly solution for providing remote educational access. The research utilizes a mixed-methods approach, incorporating both quantitative assessments of data reach and usage, and qualitative surveys to understand user experiences. The study reveals that GCC techniques can significantly improve educational resource distribution, thereby mitigating the educational disparities further exacerbated by the pandemic. These findings reinforce the potential of GCC techniques as a sustainable and inclusive technology in reshaping the educational landscape in remote regions.</em></p>2024-02-19T11:13:49+00:00Copyright (c) 2024 Journal of Remote Sensing & GIShttps://techjournals.stmjournals.in/index.php/JoRSG/article/view/1522Effective Road Safety for Future Cities: Case Study Using GIS and Remote Sensing for Accident Analysis in Navi Mumbai2024-02-22T06:19:15+00:00Akshay Pullaniparambilakshaypullani9@gmail.comRaju Narwadeakshaypullani9@gmail.comKarthik Nagarajanakshaypullani9@gmail.com<p><em>Urban transportation systems face significant challenges due to rapid population growth and development. This study delves into the enhancement of road safety in Navi Mumbai by employing Geographic Information System (GIS) and Remote Sensing (RS) techniques. The escalating rate of vehicular accidents in Navi Mumbai presents a pressing concern. This research investigates accident data and traffic patterns, identifying vulnerable areas prone to accidents and congestion. By conducting spatial analysis using GIS and RS, the study aims to uncover accident hotspots and traffic congestion zones, offering insights into underlying road safety issues. The research methodology involves a multi-stage process. Initial data collection from various sources, including police reports, live traffic data, and satellite imagery, forms the foundation. Geographic coordinates extracted and processed through GIS applications aid in plotting accident locations and creating density maps. Additionally, on-site investigations at strategically chosen locations provide invaluable insights into local conditions, traffic patterns, and contributing factors to congestion and accidents. The findings are presenting tailored solutions for each area, ranging from optimized traffic signal timings to infrastructural improvements. The findings of this study present actionable insights aimed at improving road safety and traffic management in Navi Mumbai. Recommendations encompassing signal optimizations, infrastructure enhancements, and community engagement strategies offer a holistic approach to mitigate traffic congestion and reduce accidents. The collaborative effort with relevant authorities, as highlighted in the study, serves as a crucial step towards implementing these recommendations for meaningful change. This research not only identifies critical areas for intervention but also serves as a model for leveraging GIS and RS techniques to enhance the road safety in urban areas, paving the way for safer and efficient transportation networks in the future.</em></p>2024-02-22T06:18:38+00:00Copyright (c) 2024 Journal of Remote Sensing & GIShttps://techjournals.stmjournals.in/index.php/JoRSG/article/view/1492Climate Change Monitoring and Solution Using Remote Sensing, Geographic Information System and Artificial Intelligence: A Review2024-02-22T06:19:15+00:00Sheron Henry Christysheronchristy@gmail.com<p><em>One of the most crucial global issues of our era is climate change, whose consequences are presently being felt all over the world. As climate change keeps on forgoing, it's important that governments, organizations, and businesses take visionary actions for adapting and protecting themselves from calamities.</em><em> This paper summarizes the application of Remote Sensing (RS) and </em><em>Geographic Information System (</em><em>GIS) in observing impact of climate change on drought, soil moisture, land degradation, food security, EHIs’ characterization and blue carbon science and review of AI based climate solutions. The</em><em> </em><em>integration of advanced machine learning algorithms,</em><em> </em><em>real-time data analysis, and other cutting-edge technologies could lead to even more effective climate change</em><em> </em><em>adaptation strategies. AI-activated climate change adaptation strategies have the prospective to significantly</em><em> </em><em>improve the resilience of infrastructure communities, and businesses to the changing climate.</em><strong></strong></p>2024-02-19T11:02:43+00:00Copyright (c) 2024 Journal of Remote Sensing & GIS