ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
Low Cost₹1501 / $59
CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
GeoAlert - Automated Change Monitoring System Using Satellite Imagery and AI
Authors
Pooja Pawar , Samarth Yete , Saiprasad Varpe , Yogesh Patil , Yash Waghmare
Keywords
Change Detection, Remote Sensing, Deep Learning, Siamese Network, U-Net, Landsat-8, Sentinel-2, Cloud Computing, Urban Growth, Environmental Monitoring
Abstract
Rapid urban growth, deforestation, and natural disasters are driving substantial land cover changes worldwide, posing significant challenges to sustainable development and environmental stewardship. Conventional change detection methods, such as image differencing and manual classification, often require intensive effort and deliver inconsistent accuracy under varying environmental conditions. GeoAlert is introduced as an AI-powered change monitoring system that automates the multi-temporal detection of land cover change using satellite imagery from high-resolution sensors, including Landsat-8 and Sentinel-2. The system preprocesses raw satellite data, aligns images, and applies advanced deep learning models, notably U-Net and Siamese CNN architectures, for per-pixel land cover classification and systematic change mapping. Changes identified are visualized via thematic maps and shared on a cloud-based dashboard, providing near-real-time alerts to stakeholders. In a comprehensive case study focusing on Hyderabad, India, GeoAlert achieved 89% classification accuracy, notably outperforming traditional image differencing approaches that scored 74%. These results highlight GeoAlert's potential as a scalable, robust decision-support tool for urban planners, environmental managers, and policy-makers in rapidly changing landscapes.
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IJCRT — journal style
"GeoAlert - Automated Change Monitoring System Using Satellite Imagery and AI", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 10, page no.50-57, October 2025, Available :https://ijcrt.org/papers/IJCRTBH02012.pdf
APA — 7th edition
Pawar, P., Yete, S., Varpe, S., Patil, Y., & Waghmare, Y. (2025). GeoAlert - Automated Change Monitoring System Using Satellite Imagery and AI. International Journal of Creative Research Thoughts, 13(10), 50-57. https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02012
MLA — 9th edition
Pawar, Pooja, et al. "GeoAlert - Automated Change Monitoring System Using Satellite Imagery and AI." International Journal of Creative Research Thoughts, vol. 13, no. 10, 2025, pp. 50-57, https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02012.
Chicago — 17th, bibliography
Pawar, Pooja, et al. "GeoAlert - Automated Change Monitoring System Using Satellite Imagery and AI." International Journal of Creative Research Thoughts 13, no. 10 (2025): 50-57. https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02012.
Harvard — author–date
Pawar, P. et al. (2025) 'GeoAlert - Automated Change Monitoring System Using Satellite Imagery and AI', International Journal of Creative Research Thoughts, 13(10), pp. 50-57. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02012
IEEE — numbered reference
P. Pawar, S. Yete, S. Varpe, Y. Patil and Y. Waghmare, "GeoAlert - Automated Change Monitoring System Using Satellite Imagery and AI," IJCRT, vol. 13, no. 10, pp. 50-57, Oct. 2025.
Vancouver — biomedical
Pawar P, Yete S, Varpe S, Patil Y, Waghmare Y. GeoAlert - Automated Change Monitoring System Using Satellite Imagery and AI. IJCRT. 2025 Oct;13(10):50-57.
AMA — 11th edition
Pawar P, Yete S, Varpe S, Patil Y, Waghmare Y. GeoAlert - Automated Change Monitoring System Using Satellite Imagery and AI. IJCRT. 2025;13(10):50-57. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02012
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRTBH02012,
author = {Pooja Pawar and Samarth Yete and Saiprasad Varpe and Yogesh Patil and Yash Waghmare},
title = {GeoAlert - Automated Change Monitoring System Using Satellite Imagery and AI},
journal = {International Journal of Creative Research Thoughts},
volume = {13},
number = {10},
pages = {50-57},
year = {2025},
month = {October},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02012}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Pawar, Pooja
AU - Yete, Samarth
AU - Varpe, Saiprasad
AU - Patil, Yogesh
AU - Waghmare, Yash
TI - GeoAlert - Automated Change Monitoring System Using Satellite Imagery and AI
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 13
IS - 10
PY - 2025
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02012
SP - 50
EP - 57
ER -
Issue
Volume 13 Issue 10,
October-2025
Pages : 50-57
Article Information
- Published In
- International Journal of Creative Research Thoughts — Volume 13, Issue 10, October 2025
- Pages
- 50-57
- Published
- October 2025
- Registration ID
- IJCRT_295202
- Published Paper ID
- IJCRTBH02012
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 285
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02012
- Published Paper PDF
- https://ijcrt.org/papers/IJCRTBH02012.pdf
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