A Transformative Approach to Empathetic Climate Change by Satellite Sensing

Year : 2025 | Volume : 14 | Issue : 03 | Page : 35 42
    By

    Nikat Rajak Mulla,

  • Kazi Kutubuddin Sayyad Liyakat,

  1. Student, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
  2. Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India

Abstract

Satellite sensing is becoming an increasingly important instrument for risk assessment and management as coastal communities continue to grapple with the myriad of dangers that are posed by climate change. Through the utilization of this technology, environmental scientists, legislators, and urban planners have the potential to make more informed decisions, which will ultimately lead to coastal communities that are safer and more resilient. The incorporation of satellite data into urban planning and disaster preparedness activities has resulted in a significant progress in the reduction of the consequences of extreme weather, environmental degradation, and rising sea levels. This has been accomplished through the use of satellite data. Resilience and adaptability are not only options; rather, they are necessities, and satellite sensing provides the capability to successfully fulfill both of these goals. The use of satellite sensing has brought about a revolution in the monitoring of sea levels. This technology provides us with critical information that assists us in comprehending how climate change impacts sea levels all over the world. When it comes to supporting climate resilience plans and providing assistance to vulnerable people all around the world, satellite observations will become increasingly vital as technology continues to advance. The combination of cutting-edge sensing technology, collaborative efforts, and increased data accessibility is fostering a new era in environmental monitoring. All of these factors are essential for ensuring the survival of our planet in the future.

Keywords: Satellite sensing, climate change, coastal areas, environmental study, sea level

[This article belongs to Research & Reviews : Journal of Space Science & Technology ]

How to cite this article:
Nikat Rajak Mulla, Kazi Kutubuddin Sayyad Liyakat. A Transformative Approach to Empathetic Climate Change by Satellite Sensing. Research & Reviews : Journal of Space Science & Technology. 2025; 14(03):35-42.
How to cite this URL:
Nikat Rajak Mulla, Kazi Kutubuddin Sayyad Liyakat. A Transformative Approach to Empathetic Climate Change by Satellite Sensing. Research & Reviews : Journal of Space Science & Technology. 2025; 14(03):35-42. Available from: https://journals.stmjournals.com/rrjosst/article=2025/view=228204


References

  1. Gaikwad A, Chendke A, Mulani N, Sarika M. Submersible pump theft indicator. IEJRD – Int Multidiscip J. 2020 May; 5(4): 5. Available from: https://www.iejrd.com/index.php/%20/article/ view/627
  2. Raut A, Mali M, Mashale T, Kazi KS. Bagasse level monitoring system. Int J Trend Sci Res Dev. 2018 Apr; 2(3): 1657–9. Available from: https://www.ijtsrd.com/papers/ijtsrd11469.pdf
  3. Mulani AO. Discriminative appearance model for robust online multiple target tracking. Telematique. 2023; 22(1): 24–43.
  4. Hotkar PR, Kulkarni V, et al. Implementation of low power and area efficient carry select adder. Int J Res Eng Sci Manag. 2019; 2(4): 183–4.
  5. Karale N, Jadhav S, et al. Design of vehicle system using CAN protocol. Int J Res Appl Sci Eng Technol. 2020; 8(V): 1978–83.
  6. Kazi K. Lassar methodology for network intrusion detection. Scholarly Res J Humanit Sci Engl Lang. 2017; 4(24): 6853–61.
  7. Argonda UA. Review paper for design and simulation of a patch antenna by using HFSS. Int J Trends Sci Res Dev. 2018; 2(2): 158–60.
  8. Shirdale Y, et al. Analysis and design of capacitive coupled wideband microstrip antenna in C and X band: a survey. J GSD-Int Soc Green Sustain Eng Manag. 2014; 1(15): 1–7.
  9. Kazi K. Model for agricultural information system to improve crop yield using IoT. J Open Source Dev. 2022; 9(2): 16–24.
  10. Shirdale Y, et al. Coplanar capacitive coupled probe fed microstrip antenna for C and X band. Int J Adv Res Comput Commun Eng. 2016; 5(4): 661–3.
  11. Aavula R, Deshmukh A, Mane VA, et al. Design and implementation of sensor and IoT based remembrance system for closed one. Telematique. 2022; 21(1): 2769–78.
  12. Salunke N, et al. Announcement system in bus. J Image Process Intell Remote Sens. 2022; 2(6): 1–10.
  13. Kamuni MS, et al. Fruit quality detection using thermometer. J Image Process Intell Remote Sens. 2022; 2(5): 20–27.
  14. Kumtole S, et al. Automatic wall painting robot. J Image Process Intell Remote Sens. 2022; 2(6): 11–22.
  15. Kadam A, et al. Email security. J Image Process Intell Remote Sens. 2022; 2(6): 23–31.
  16. Kapse MM, et al. Smart grid technology. Int J Inf Technol Comput Eng. 2022; 2(6): 10–17.
  17. Satpute PV, Mali P, et al. Smart safety device for women. Int J Aquat Sci. 2022; 13(1): 556–60.
  18. Tadlagi PM, et al. Depression detection. J Ment Health Issues Behav. 2022; 2(6): 1–7.
  19. Waghmare M, et al. Smart watch system. Int J Inf Technol Comput Eng. 2022; 2(6): 1–9.
  20. Swami D, et al. Sending notification to someone missing you through smart watch. Int J Inf Technol Comput Eng. 2022; 2(8): 19–24.
  21. Kalmkar S, Afrin, et al. 3D e-commerce using AR. Int J Inf Technol Comput Eng. 2022; 2(6): 18–27.
  22. Warhade NS, Pol RS, Jadhav HM, Mulani AO. Yarn quality detection for textile industries using image processing. J Algebraic Stat. 2022; 13(3): 3465–72.
  23. Pole RS, Deshmukh A, Jadhav M, et al. iButton based physical access authorization and security system. J Algebraic Stat. 2022; 13(3): 3822–9.
  24. Kazi KSL. IoT-based weather prototype using WeMos. J Control Instrum Eng. 2023; 9(1): 10–22.
  25. Kosgiker GM. Machine learning-based system, food quality inspection and grading in food industry. Int J Food Nutr Sci. 2018; 11(10): 723–30.
  26. Vahida, et al. Deep learning, YOLO and RFID based smart billing handcart. J Commun Eng Syst. 2023; 13(1): 1–8.
  27. Kazi KSL. Analysis for field distribution in optical waveguide using linear FEM method. J Opt Commun Electron. 2023; 9(1): 23–8.
  28. Mamdyal M, Sandupatia, et al. GPS tracking system. Int J Adv Res Sci Commun Technol. 2022; 2(1): 2492–529. Available from: https://ijarsct.co.in/A7317.pdf
  29. Patil RM. Modelo de apariencia discriminatorio para un sólido seguimiento en línea de múltiples objetivos. Telematique. 2023; 22(1): 24–43.
Regular Issue Subscription Review Article
Volume 14
Issue 03
Received 29/05/2025
Accepted 11/08/2025
Published 05/09/2025
Publication Time 99 Days
126

Login


My IP

PlumX Metrics