Development of the Statistical Model for Monitoring Salinization in the Mekong Delta of Vietnam Using Remote Sensing Data and In-Situ Measurements

Proceedings

Trung, Le Van²  Vu, Nguyen Nguyen³  Van, Tran Thi⁴ 

[1] Available online: https://sciforum.net/conference/IECG_2018.;Author to whom correspondence should be addressed.;Department of Environment and Resources, Ho Chi Minh City University of Technology, Vietnam National University Ho Chi Minh City, Ho Chi Minh City 700000, Vietnam;Presented at the 1st International Electronic Conference on Geosciences (IECG 2018), 15–30 June 2018

关键词: L;    sat 8;    Mekong Delta;    remote sensing;    salinization;    statistical model;   

DOI  :  10.3390/IECG_2018-05362

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

This article presents the methodology for developing a statistical model for monitoring salinity intrusion in the Mekong Delta based on the integration of satellite imagery and in-situ measurements. We used Landsat-8 Operational Land Imager and Thermal Infrared Sensor (Landsat- 8 OLI and TIRS) satellite data to establish the relationship between the planetary reflectance and the ground measured data in the dry season during 2014. The three spectral bands (blue, green, red) and the principal component band were used to obtain the most suitable models. The selected model showed a good correlation with the exponential function of the principal component band and the ground measured data (R2 > 0.8). Simulation of the salinity distribution along the river shows the intrusion of a 4 g/L salt boundary from the estuary to the inner field of more than 50 km. The developed model will be an active contribution, providing managers with adaptation and response solutions suitable for intrusion in the estuary as well as the inner field of the Mekong Delta.

【 授权许可】

CC BY