Flood Risk Mapping With Open Satellite Data and Community Reports

Penulis

Kata Kunci:

flood risk, remote sensing, citizen science

Abstrak

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.

Diterbitkan

2023-06-30

Terbitan

Bagian

Articles

Riwayat naskah

  1. Diterima
  2. Terbit

Statistik

0Abstrak dilihat
0Unduhan