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
  • [41] Water Quality Classification Using Machine Learning Algorithms
    Alnaqeb, Reem
    Alketbi, Khuloud
    Alrashdi, Fatema
    Ismail, Heba
    2022 IEEE/ACS 19TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2022,
  • [42] Semantic Segmentation of Urban Remote Sensing Images Based on Deep Learning
    Liu, Jingyi
    Wu, Jiawei
    Xie, Hongfei
    Xiao, Dong
    Ran, Mengying
    APPLIED SCIENCES-BASEL, 2024, 14 (17):
  • [43] Remote Sensing of Sediment Discharge in Rivers Using Sentinel-2 Images and Machine-Learning Algorithms
    Mohsen, Ahmed
    Kovacs, Ferenc
    Kiss, Timea
    HYDROLOGY, 2022, 9 (05)
  • [44] Remote Sensing of Turbidity for Lakes in Northeast China Using Sentinel-2 Images With Machine Learning Algorithms
    Ma, Yue
    Song, Kaishan
    Wen, Zhidan
    Liu, Ge
    Shang, Yingxin
    Lyu, Lili
    Du, Jia
    Yang, Qian
    Li, Sijia
    Tao, Hui
    Hou, Junbin
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 9132 - 9146
  • [45] Multi scale feature extraction network with machine learning algorithms for water body extraction from remote sensing images
    Nagaraj, R.
    Kumar, Lakshmi Sutha
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2022, 43 (17) : 6349 - 6387
  • [46] Spectro-environmental factors integrated ensemble learning for urban river network water quality remote sensing
    Zhou, Xiaoteng
    Liu, Chun
    Carrion, Daniela
    Akbar, Akram
    Wang, Honghao
    WATER RESEARCH, 2024, 267
  • [47] Enhancing soil moisture retrieval in semi-arid regions using machine learning algorithms and remote sensing data
    Duan, Xulong
    Maqsoom, Ahsen
    Khalil, Umer
    Aslam, Bilal
    Amjad, Talal
    Tufail, Rana Faisal
    Alarifi, Saad S.
    Tariq, Aqil
    APPLIED SOIL ECOLOGY, 2024, 204
  • [48] Integration of Remote Sensing and Mexican Water Quality Monitoring System Using an Extreme Learning Machine
    Arias-Rodriguez, Leonardo F.
    Duan, Zheng
    de Jesus Diaz-Torres, Jose
    Hazas, Monica Basilio
    Huang, Jingshui
    Kumar, Bapitha Udhaya
    Tuo, Ye
    Disse, Markus
    SENSORS, 2021, 21 (12)
  • [49] Coal Quality Exploration Technology Based on an Incremental Multilayer Extreme Learning Machine and Remote Sensing Images
    Le, Ba Tuan
    Xiao, Dong
    Mao, Yachun
    He, Dakuo
    Xu, Jialiu
    Song, Liang
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (07): : 4192 - 4201
  • [50] EVALUATION METHOD OF WATER QUALITY FOR RIVER BASED ON MULTI-SPECTRAL REMOTE SENSING DATA
    Xiao, X.
    Jian, X.
    Xiongfei, W.
    Chengfang, H.
    Xuejun, C.
    Zhaohui, W.
    Dengzhong, Z.
    36TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT, 2015, 47 (W3): : 1517 - 1523
12345