The Role of Remote Sensing in Environmental Damage Assessment and Accelerated Post-Disaster Recovery
Keywords:
remote sensing, Environmental Damage, Post-Disaster Management
Abstract
Remote sensing technology in post-disaster environmental damage assessment has become an essential focus for more efficient recovery planning. This research aims to identify the role of remote sensing technology in assessing environmental damage and supporting the recovery process in a faster and more precise way. This research was conducted through a literature study approach by exploring the basic concepts of remote sensing sourced from various scientific journals. The results show that remote sensing has a vital role in assessing damage, with its ability to collect data in real-time and cover large areas. This makes it easier to identify damage in various locations affected by the disaster. Although this technology faces several challenges, such as limited image resolution, limited data frequency, and interference due to erratic weather conditions, remote sensing has proven effective in accelerating post-disaster recovery. With the support of good coordination between relevant agencies, this technology can make a significant contribution to accelerating and facilitating the post-disaster recovery process.
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Palmer, S. C. J., Kutser, T., & Hunter, P. D. (2015). Remote sensing of inland waters: Challenges, progress and future directions. In Remote Sensing of Environment (Vol. 157). https://doi.org/10.1016/j.rse.2014.09.021
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Qing, Y., Ming, D., Wen, Q., Weng, Q., Xu, L., Chen, Y., Zhang, Y., & Zeng, B. (2022). Operational earthquake-induced building damage assessment using CNN-based direct remote sensing change detection on superpixel level. International Journal of Applied Earth Observation and Geoinformation, 112. https://doi.org/10.1016/j.jag.2022.102899
Rahman, M. S., & Di, L. (2020). A systematic review on case studies of remote-sensing-based flood crop loss assessment. In Agriculture (Switzerland) (Vol. 10, Issue 4). https://doi.org/10.3390/agriculture10040131
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Rokhmatuloh, Ardiansyah, Indratmoko, S., Riyanto, I., Margatama, L., & Arief, R. (2022). Burnt-Area Quick Mapping Method with Synthetic Aperture Radar Data. Applied Sciences, 12(23). https://doi.org/10.3390/app122311922
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Roy, P. S., Behera, M. D., & Srivastav, S. K. (2017). Satellite Remote Sensing: Sensors, Applications and Techniques. In Proceedings of the National Academy of Sciences India Section A - Physical Sciences (Vol. 87, Issue 4). https://doi.org/10.1007/s40010-017-0428-8
Sambah, A. B., & Miura, F. (2016). Spatial data analysis and remote sensing for observing tsunami-inundated areas. International Journal of Remote Sensing, 37(9). https://doi.org/10.1080/01431161.2015.1136450
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Published
2025-11-20
How to Cite
Rosi Fitria, Asep Adang Supriyadi, Syachrul Arief, & Dangan Waluyo. (2025). The Role of Remote Sensing in Environmental Damage Assessment and Accelerated Post-Disaster Recovery. International Journal of Education, Vocational and Social Science , 4(04), 1062-1081. https://doi.org/10.63922/ijevss.v4i04.2524
Contact Person +6282139474255
Email : ijevss@citakonsultindo.or.id / editor.ijevss@gmail.com
