Remote sensing techniques to predict salinity intrusion: application for a data-poor area of the coastal Mekong Delta, Vietnam-Reference-Cited by-同舟云学术

Remote sensing techniques to predict salinity intrusion: application for a data-poor area of the coastal Mekong Delta, Vietnam

Published:2018-04-26 Issue:20 Volume:39 Page:6676-6691
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Nguyen Phuong T.B¹,Koedsin Werapong¹^ORCID,McNeil Donald²,Van Tri P.D³

Affiliation:

1. Remote Sensing & Geo-Spatial Science Research Unit, Faculty of Technology and Environment, Prince of Songkla University, Phuket, Thailand

2. Department of Statistics, Macquarie University, Sydney, New South Wales, Australia

3. Department of Water Resources, Can Tho University, Can Tho, Vietnam

Funder

Higher Education Research Promotion

Thailand’s Education Hub for Southern Region of ASEAN Countries Project Office of the Higher Education Commission, under Prince of Songkla University

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1466071

Reference39 articles.

1. Multiple Linear Regression

2. Environmental Monitoring of Estuaries; Estimating and Mapping Various Environmental Indicators in Breydon Water Estuary, U.K., Using Landsat TM Imagery

3. Binh, N. T. 2015. “Vulnerability and Adaptation to Climate Change.”[PhD thesis.], The Faculty of Agriculture, Bonn University and Institute for Environment and Human Security, United Nations University (UNU-EHS), Germany. http://hss.ulb.uni-bonn.de/2015/3924/3924.pdf.

4. Remote Sensing of Organic Matter in Coastal Waters

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