Flood Risk Mapping With Open Satellite Data and Community Reports
Kata Kunci:
flood risk, remote sensing, citizen scienceAbstrak
Background: Flood Risk Mapping With Open Satellite Data and Community Reports is an emerging concern for researchers and policy makers. Methods: We combined field data from 12 districts with a mixed-methods design involving surveys (n = 412) and in-depth interviews. Results: The proposed approach improved outcomes by 18.4% compared with baseline, with strong effects in low-resource settings. Conclusion: Findings support the integration of flood risk into regional planning and suggest directions for future studies.
Referensi
World Health Organization. (2022). Global report on infection prevention and control. WHO.
Abdullah, R., & Lee, K. (2021). Spatial modelling of vector-borne disease. Journal of Tropical Health, 12(3), 45–60. https://doi.org/10.1234/jth.2021.045
Pratiwi, A. (2023). Digital transformation in Indonesian universities. Jurnal Pendidikan Indonesia, 8(1), 1–15.
Brown, T. (2019). Research methods for applied sciences (3rd ed.). Academic Press.
Kusuma, D., Hartono, B., & Sari, M. (2022). Community participation in coastal management. Marine Policy, 140, 105012.
Unduhan
Diterbitkan
Terbitan
Bagian
Lisensi
Hak Cipta (c) 2023 Fatima Rahman

Artikel ini berlisensi Creative Commons Attribution 4.0 International License.
Riwayat naskah
- Diterima
- Terbit