Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing

被引：36
|
作者：
Yang, Liping [1 ,2 ,3 ]
Driscol, Joshua [1 ,2 ]
Sarigai, Sarigai [1 ,2 ]
Wu, Qiusheng [4 ]
Lippitt, Christopher D. [1 ,2 ]
Morgan, Melinda [1 ]
机构：
[1] Univ New Mexico, Dept Geog & Environm Studies, Albuquerque, NM 87131 USA
[2] Univ New Mexico, Ctr Adv Spatial Informat Res & Educ ASPIRE, Albuquerque, NM 87131 USA
[3] Univ New Mexico, Dept Comp Sci, Albuquerque, NM 87106 USA
[4] Univ Tennessee, Dept Geog, Knoxville, TN 37996 USA
来源：
SENSORS | 2022年 / 22卷 / 06期
关键词：
surface water; water body detection; surface water extraction; water quality monitoring; remote sensing; artificial intelligence; computer vision; machine learning; deep learning; convolutional neural networks; GEOVISUAL ANALYTICS; ACCURACY ASSESSMENT; CRISIS MANAGEMENT; DECISION-SUPPORT; LEARNING-METHOD; SURFACE-WATER; INDEX NDWI; DEEP; EXTRACTION; IDENTIFICATION;
D O I：
10.3390/s22062416
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
Water features (e.g., water quantity and water quality) are one of the most important environmental factors essential to improving climate-change resilience. Remote sensing (RS) technologies empowered by artificial intelligence (AI) have become one of the most demanded strategies to automating water information extraction and thus intelligent monitoring. In this article, we provide a systematic review of the literature that incorporates artificial intelligence and computer vision methods in the water resources sector with a focus on intelligent water body extraction and water quality detection and monitoring through remote sensing. Based on this review, the main challenges of leveraging AI and RS for intelligent water information extraction are discussed, and research priorities are identified. An interactive web application designed to allow readers to intuitively and dynamically review the relevant literature was also developed.
引用
收藏
页数：48
相关论文
共 50 条
  • [41] Water Quality Assessment of a Lentic Water Body Using Remote Sensing: A Case Study
    Purandara, B. K.
    Jamadar, B. S.
    Chandramohan, T.
    Jose, M. K.
    Venkatesh, B.
    ENVIRONMENTAL POLLUTION, 2018, 77 : 371 - 380
  • [42] Applications of Remote Sensing and GIS in Water Quality Monitoring and Remediation: A State-of-the-Art Review
    Ramadas, Meenu
    Samantaray, Alok Kumar
    WATER REMEDIATION, 2018, : 225 - 246
  • [43] Monitoring of a water basin area in Istanbul using remote sensing data
    Goksel, C
    WATER SCIENCE AND TECHNOLOGY, 1998, 38 (11) : 209 - 216
  • [44] Research on polarized remote sensing of monitoring of water pollution
    Sun, Zhongqiu
    Zhao, Yunsheng
    Li, Shaoping
    2010 4TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (ICBBE 2010), 2010,
  • [45] Method of monitoring surface water quality based on remote sensing in Miyun reservoir
    Zhang, Xiwang
    Qin, Fen
    Liu, Jianfeng
    2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11, 2009, : 6070 - +
  • [46] Assessment of Regression Models for Surface Water Quality Modeling via Remote Sensing of a Water Body in the Mexican Highlands
    Cruz-Retana, Alejandro
    Becerril-Pina, Rocio
    Fonseca, Carlos Roberto
    Gomez-Albores, Miguel A.
    Gaytan-Aguilar, Sandra
    Hernandez-Tellez, Marivel
    Mastachi-Loza, Carlos Alberto
    WATER, 2023, 15 (21)
  • [47] IMPROVING QUANTITATIVE REMOTE-SENSING FOR MONITORING OF INLAND WATER-QUALITY
    GITELSON, A
    SZILAGYI, F
    MITTENZWEY, KH
    WATER RESEARCH, 1993, 27 (07) : 1185 - 1194
  • [48] Research progress in surface water quality monitoring based on remote sensing technology
    Zheng, Yue
    Wang, Jianjun
    Kondratenko, Yuriy
    Wu, Junhong
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2024, 45 (07) : 2337 - 2373
  • [49] Research on the Water Quality Monitoring System for Inland Lakes based on Remote Sensing
    Zhou, Zheng
    Zhao, Yuanling
    2011 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY ESIAT 2011, VOL 10, PT B, 2011, 10 : 1707 - 1711
  • [50] Remote sensing based water quality monitoring in Chivero and Manyame lakes of Zimbabwe
    Chawira, M.
    Dube, T.
    Gumindoga, W.
    PHYSICS AND CHEMISTRY OF THE EARTH, 2013, 66 : 38 - 44
12345