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
  • [31] Remote sensing-enabled machine learning for river water quality modeling under multidimensional uncertainty
    Rahat, Saiful Haque
    Steissberg, Todd
    Chang, Won
    Chen, Xi
    Mandavya, Garima
    Tracy, Jacob
    Wasti, Asphota
    Atreya, Gaurav
    Saki, Shah
    Bhuiyan, Md Abul Ehsan
    Ray, Patrick
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 898
  • [32] Detection of Urban Damage Using Remote Sensing and Machine Learning Algorithms: Revisiting the 2010 Haiti Earthquake
    Cooner, Austin J.
    Shao, Yang
    Campbell, James B.
    REMOTE SENSING, 2016, 8 (10)
  • [33] Benchmarking Machine Learning Algorithms for Instantaneous Net Surface Shortwave Radiation Retrieval Using Remote Sensing Data
    Wu, Hua
    Ying, Wangmin
    REMOTE SENSING, 2019, 11 (21)
  • [34] Retrieval of water quality parameters by hyperspectral remote sensing in lake TaiHu, China
    Yang, DT
    Pan, DL
    Zhang, XY
    Zhang, XF
    He, XQ
    Li, SQ
    Optical Technologies for Atmospheric, Ocean, and Environmental Studies, Pts 1 and 2, 2005, 5832 : 431 - 439
  • [35] Using Ensemble Learning for Remote Sensing Inversion of Water Quality Parameters in Poyang Lake
    Peng, Changchun
    Xie, Zhijun
    Jin, Xing
    SUSTAINABILITY, 2024, 16 (08)
  • [36] Water quality hotspot identification using a remote sensing and machine learning approach: A case study of the River Ganga near Varanasi
    Mishra, Anurag
    Ohri, Anurag
    Singh, Prabhat Kumar
    Gaur, Shishir
    Bhattacharjee, Rajarshi
    ADVANCES IN SPACE RESEARCH, 2024, 74 (11) : 5604 - 5618
  • [37] Machine learning-based inversion of water quality parameters in typical reach of the urban river by UAV multispectral data
    Chen, Botao
    Mu, Xi
    Chen, Peng
    Wang, Biao
    Choi, Jaewan
    Park, Honglyun
    Xu, Sheng
    Wu, Yanlan
    Yang, Hui
    ECOLOGICAL INDICATORS, 2021, 133
  • [38] Comprehensive Classification Method of Urban Water by Remote Sensing Based on High-Resolution Images
    Yang Z.-Q.
    Liu H.-Q.
    Lü H.
    Li Y.-M.
    Zhu L.
    Zhou Y.-M.
    Li L.-L.
    Bi S.
    Huanjing Kexue/Environmental Science, 2021, 42 (05): : 2213 - 2222
  • [39] A research on inversion of water quality parameters in the mulan river based on GF-1B\C\D remote sensing images
    Lin, Zhuo
    Song, Jinling
    Kang, Yan
    Huang, Da
    Zhu, Meining
    JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2024, 24 (01) : 567 - 576
  • [40] Water quality classification using machine learning algorithms
    Nasir, Nida
    Kansal, Afreen
    Alshaltone, Omar
    Barneih, Feras
    Sameer, Mustafa
    Shanableh, Abdallah
    Al-Shamma'a, Ahmed
    JOURNAL OF WATER PROCESS ENGINEERING, 2022, 48