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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21665
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Total Authors : 22459
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| Paper Title: | Geo-Spatial Analysis of Aarey Colony subregion, Mumbai: LULC Classification Using Machine-Learning |
| Authors Name: | Atharv Rane , Ayan Shaikh , Vighnesh Shinde , Prof. Devanand Bathe |
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| Author Reg. ID: |
IJRTI_204928
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| Published Paper Id: | IJRTI2506195 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | Geo-spatial data or geodata refers to data or information related to geographical locations on the Earth’s surface and includes vectors, attributes, and raster and satellite imagery. Remote sensing serves as one of the primary sources for generating geospatial information like satellite images. The analysis of spatial information is an important area of research due to its wide variety of applications such as urban planning, Land Use and Land Cover (LULC) classification, agriculture, environmental monitoring, deforestation tracking, etc. Since its launch in 2013, Landsat-8 has played a key role in such analyses. This paper focuses on a specific land survey of Aarey Colony, aiming to classify and analyze its Land Use and Land Cover (LULC) using satellite imagery from Landsat-8. The research emphasizes combining geospatial data with advanced Python tools and machine learning algorithms to distinguish between natural and artificial land covers. By leveraging Python libraries like GeoPandas, Rasterio, and Scikit-learn, along with the Google Earth Engine API, this study seeks to present a detailed understanding of the spatial dynamics of Aarey Colony. |
| Keywords: | Geo-spatial data, Python, Rasterio, Satellite imagery, Machine learning, Remote Sensing, Aarey Colony |
| Cite Article: | "Geo-Spatial Analysis of Aarey Colony subregion, Mumbai: LULC Classification Using Machine-Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b833-b839, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506195.pdf |
| Downloads: | 000371 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2506195
Registration ID:204928
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: b833-b839 Country: Mumbai, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506195 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506195 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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