Mapping concentrations of surface water quality parameters using a novel remote sensing and artificial intelligence framework-Reference-Cited by-同舟云学术

Mapping concentrations of surface water quality parameters using a novel remote sensing and artificial intelligence framework

Published:2017-01-13 Issue:4 Volume:38 Page:1023-1042
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Sharaf El Din Essam¹,Zhang Yun¹,Suliman Alaeldin¹

Affiliation:

1. Department of Geodesy and Geomatics Engineering (GGE), University of New Brunswick (UNB), Fredericton, Canada

Funder

The Egyptian Ministry of Higher Education

The Canada Research Chair (CRC) Program

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2016.1275056

Reference35 articles.

1. Arseneault, D. 2008. “The Road to Canada - Nomination Document for the St. John River, New Brunswick”. The St. John River with the support of the New Brunswick Department of Natural Resources.

2. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data

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