The optimal method for water quality parameters retrieval of urban river based on machine learning algorithms using remote sensing images

被引：0
|
作者：
School of Earth Science and Resources, Chang’an University, Xi’an, China [1 ]
不详 [2 ]
机构：
来源：
Int. J. Remote Sens. | / 19-20卷 / 7297-7317期
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Machine-learning - Optimal feature selections - Parameter retrieval - Remote sensing retrieval - Remote-sensing - Sentinel-2 image - Total nitrogen - Urban river - Water eutrophication - Water quality parameters
引用
收藏
页码：7297 / 7317
相关论文
共 50 条
  • [1] The optimal method for water quality parameters retrieval of urban river based on machine learning algorithms using remote sensing images
    Jiang, Yizhu
    Kong, Jinling
    Zhong, Yanling
    Zhang, Jingya
    Zheng, Zijia
    Wang, Lizheng
    Liu, Dingming
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2024, 45 (19-20) : 7297 - 7317
  • [2] Remote sensing retrieval of inland water quality parameters using Sentinel-2 and multiple machine learning algorithms
    Tian, Shang
    Guo, Hongwei
    Xu, Wang
    Zhu, Xiaotong
    Wang, Bo
    Zeng, Qinghuai
    Mai, Youquan
    Huang, Jinhui Jeanne
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (07) : 18617 - 18630
  • [3] Remote sensing retrieval of inland water quality parameters using Sentinel-2 and multiple machine learning algorithms
    Shang Tian
    Hongwei Guo
    Wang Xu
    Xiaotong Zhu
    Bo Wang
    Qinghuai Zeng
    Youquan Mai
    Jinhui Jeanne Huang
    Environmental Science and Pollution Research, 2023, 30 : 18617 - 18630
  • [4] Retrieval of Water Quality Parameters Based on Near-Surface Remote Sensing and Machine Learning Algorithm
    Zhao, Yubo
    Yu, Tao
    Hu, Bingliang
    Zhang, Zhoufeng
    Liu, Yuyang
    Liu, Xiao
    Liu, Hong
    Liu, Jiacheng
    Wang, Xueji
    Song, Shuyao
    REMOTE SENSING, 2022, 14 (21)
  • [5] Urban river water quality monitoring based on self-optimizing machine learning method using multi-source remote sensing data
    Chen, Peng
    Wang, Biao
    Wu, Yanlan
    Wang, Qijun
    Huang, Zuoji
    Wang, Chunlin
    ECOLOGICAL INDICATORS, 2023, 146
  • [6] Evaluation of the Crosta method for the retrieval of water quality parameters from remote sensing data in the Pearl River estuary
    Gao, Feng
    Wang, Yunpeng
    Zhang, Yuanzhi
    WATER QUALITY RESEARCH JOURNAL OF CANADA, 2020, 55 (02) : 209 - 220
  • [7] Mangrove LAI estimation based on remote sensing images and machine learning algorithms
    Fu B.
    Sun J.
    Li Y.
    Zuo P.
    Deng T.
    He H.
    Fan D.
    Gao E.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2022, 38 (07): : 218 - 228
  • [8] Study on optimal urban land classification method based on remote sensing images
    Niu L.
    Pan M.
    Zhou Y.
    Xiong L.
    International Journal of Information and Communication Technology, 2020, 16 (04) : 365 - 377
  • [9] Retrieval of Water Quality Parameters of Urban River Network Using Hyperspectral Date Based on Inherent Optical Parameters
    Lin Jian-yuan
    Zhang Chang-xing
    You Hong-jian
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39 (12) : 3761 - 3768
  • [10] Retrieval of Total Phosphorus Concentration in the Surface Water of Miyun Reservoir Based on Remote Sensing Data and Machine Learning Algorithms
    Qiao, Zhi
    Sun, Siyang
    Jiang, Qun'ou
    Xiao, Ling
    Wang, Yunqi
    Yan, Haiming
    REMOTE SENSING, 2021, 13 (22)
12345