A Community Service Program: Online Basic Training on Remote Sensing Image Interpretation for Public Participation in Monitoring Marine Environmental Damage
Keywords:
community service, mangrove cover, online, Training, Remote sensingAbstract
The use of remote sensing as a means of coastal environmental education is a strategic approach to increase public literacy about the condition of marine ecosystems that are vulnerable to damage. This community service activity aims to introduce the basics of satellite image interpretation to participants from various coastal areas of Indonesia through online training which will be held on November 8, 2025 with a total of 30-50 participants for free. The training is designed using an experiential learning approach so that participants can learn concepts and practice them directly through online platforms. The material included an introduction to the basic principles of remote sensing, visual interpretation techniques, the use of a combination of image bands, and the application of satellite imagery to detect changes in mangrove cover. The results of the training showed a significant increase in scores in all competency categories after the training. Before training, the score is in the range of 25–40%, while after training it increases to around 70–80%. This indicates that the training is effective in improving the participants' understanding and skills in all aspects measured. In addition, online learning methods are quite effective in encouraging collaborative interaction across regions. This program shows that remote sensing technology can be simplified into educational materials that are easy for the public to understand.
Downloads
References
Anderson, T. (2008). The theory and practice of online learning. Athabasca University Press.
Campbell, J. B., & Wynne, R. H. (2011). Introduction to remote sensing (5th ed.). Guilford Press.
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). SAGE Publications.
Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Prentice-Hall.
Lillesand, T. M., Kiefer, R. W., & Chipman, J. W. (2015). Remote sensing and image interpretation (7th ed.). Wiley.
Lehmann, J. R., Prinz, T., Ziller, S. R., et al. (2017). Open-source remote sensing tools for environmental monitoring: A case study. Remote Sensing, 9(1), 61–78.
Martin, F., Sun, T., & Westine, C. D. (2020). A systematic review of research on online teaching and learning. American Journal of Distance Education, 34(3), 180–194.
Miller, P., & Groom, S. (2017). Ocean colour remote sensing: Current challenges and future perspectives. Remote Sensing of Environment, 194, 1–4.
Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis (2nd ed.). SAGE Publications.
Mora, C., et al. (2011). Global human footprint on marine ecosystems. Science, 334(6059), 952–956.
Palmer, J. (1998). Environmental education in the 21st century: Theory, practice, progress, and promise. Routledge.
Pettorelli, N., et al. (2014). Satellite remote sensing for applied ecologists: Opportunities and challenges. Journal of Applied Ecology, 51(3), 839–848.
Rogers, A. (2003). What is the difference? A new critique of adult learning and teaching. NIACE.
Setiawan, H., Supriatna, J., & Pramudya, B. (2020). Coastal ecosystem degradation and community awareness in Indonesia. Ocean & Coastal Management, 190, 105–156.
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Yulia, H. (2021). Online learning during COVID-19: A review of challenges and opportunities. Educational Technology & Society, 24(3), 110–123.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Luhur Moekti Prayogo, Intan Septarina (Author)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.











