Inland Lakes Mapping for Monitoring Water Quality Using a Detail/Smoothing-Balanced Conditional Random Field Based on Landsat-8/Levels Data

Inland Lakes Mapping for Monitoring Water Quality Using a Detail/Smoothing-Balanced Conditional Random Field Based on Landsat-8/Levels Data

The sustainable development of water resources is always emphasized in China, and a set of perfect standards for the division of inland water environment quality have been established to monitor water quality. However, most of the 24 indicators that determine the water quality level in the standards...

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Bibliographic Details
Main Authors: Lifei Wei, Yu Zhang, Can Huang, Zhengxiang Wang, Qingbin Huang, Feng Yin, Yue Guo, Liqin Cao
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sensors
Subjects:
inland water
water quality levels
conditional random field
contextual information
landsat 8 operational land imager (oli)
Online Access:https://www.mdpi.com/1424-8220/20/5/1345

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