International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Contact Us

IJSTR >> Volume 9 - Issue 4, April 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Potential Of Sentinel-1 SAR Observations To Monitor Floods In The North Vietnam

[Full Text]



Binh Pham-Duc, Trung Tran



SAR, Sentinel-1, Landat-8, Flood detection, North Vietnam.



As one of the countries affected the most by global warming and climate change, the frequency and intensity of extreme weather events occurring recently in Vietnam are increasing. Floods, among others, are one of the most damage disasters in Vietnam. In this paper, we illustrate how satellite data (especially free SAR data from the Sentinel-1 satellite) can be used to monitor floods, at 30 m spatial resolution, in the North Vietnam where the cloud cover is very high. Although there is no reference inundated map at the same spatial and temporal resolutions for comparison, SAR-derived permanent surface water map is in good agreement with free-cloud Landsat-derived surface water map. This study shows strong potential of SAR satellite observations for monitoring and forecasting applications over highly cloud-covered environments like the tropical regions.



[1] UNISDR, "The Human Cost of Weather-Related Disasters 1995-2015," Centre for Research on the Epidemiology of Disasters, 2016.
[2] D. G. Huber, J. Gulledge and D. Ph, "SCIENCE EXTREME WEATHER & CLIMATE CHANGE : UNDERSTANDING THE LINK AND by," Solutions, vol. December, no. 1, pp. 1-13, 2011.
[3] H. Wu, R. F. Adler, Y. Hong, Y. Tian and F. Policelli, "Evaluation of Global Flood Detection Using Satellite-Based Rainfall and a Hydrologic Model," Journal of Hydrometeorology, vol. 13, no. 4, pp. 1268-1284, 1 8 2012.
[4] "2017 - Năm thiên tai nặng nề," [Online]. Available: https://www.nhandan.com.vn/megastory/2017/12/28/.
[5] "General Statistics Office of Vietnam," [Online]. Available: https://www.gso.gov.vn/Default.aspx?tabid=217.
[6] B. Pham-Duc, C. Prigent and F. Aires, "Surface Water Monitoring within Cambodia and the Vietnamese Mekong Delta over a Year, with Sentinel-1 SAR Observations," Water, vol. 9, no. 6, p. 366, 23 5 2017.
[7] M. Santoro, U. Wegmüller, A. Wiesmann, C. Lamarche, S. Bontemps, P. Defourny and O. Arino, "Assessing Envisat ASAR and Sentinel-1 multi-temporal observations to map open water bodies," in Proceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015, 2015.
[8] A. M. Wilson and W. Jetz, "Remotely Sensed High-Resolution Global Cloud Dynamics for Predicting Ecosystem and Biodiversity Distributions," PLOS Biology, vol. 14, no. 3, p. e1002415, 31 3 2016.
[9] M. C. Hansen, R. S. DeFries, J. R. G. Townshend, M. Carroll, C. Dimiceli and R. A. Sohlberg, "Global Percent Tree Cover at a Spatial Resolution of 500 Meters: First Results of the MODIS Vegetation Continuous Fields Algorithm," Earth Interactions, vol. 7, no. 10, pp. 1-15, 21 10 2003.
[11] C. Kuenzer, H. Guo, J. Huth, P. Leinenkugel, X. Li and S. Dech, "Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses," Remote Sensing, vol. 5, no. 2, pp. 687-715, 5 2 2013.
[12] N. Pierdicca, L. Pulvirenti, M. Chini, L. Guerriero and L. Candela, "Observing floods from space: Experience gained from COSMO-SkyMed observations," Acta Astronautica, vol. 84, pp. 122-133, 1 3 2013.
[13] S. K. McFeeters, "The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features," International Journal of Remote Sensing, vol. 17, no. 7, pp. 1425-1432, 1996.