Retrieval of Total Phosphorus Concentration in the Surface Water of Miyun Reservoir Based on Remote Sensing Data and Machine Learning Algorithms
Some essential water conservation areas in China have continuously suffered from various serious problems such as water pollution and water quality deterioration in recent decades and thus called for real-time water pollution monitoring system underwater resources management. On the basis of the rem...
Enregistré dans:
Auteurs principaux: | Zhi Qiao, Siyang Sun, Qun’ou Jiang, Ling Xiao, Yunqi Wang, Haiming Yan |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/62a5b3c817ba4cf0b68eafd8a86b9ef2 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Retrieval model for total nitrogen concentration based on UAV hyper spectral remote sensing data and machine learning algorithms – A case study in the Miyun Reservoir, China
par: Jiang Qun'ou, et autres
Publié: (2021) -
High-Resolution Polar Low Winds Obtained from Unsupervised SAR Wind Retrieval
par: Mathias Tollinger, et autres
Publié: (2021) - Remote sensing
- Remote sensing letters
-
TOTAL AND ORGANIC PHOSPHORUS IN CHILEAN VOLCANIC SOILS
par: Borie,F., et autres
Publié: (2003)