Estimating the vertical profile of water quality variables in reservoirs: Application of remotely sensed data and machine learning techniques

被引:0
|
作者
Shahi, Farnaz Sadat [1 ]
Nikoo, Mohammad Reza [2 ]
Vanda, Sadegh [3 ]
Nehi, Sadegh Mishmast [1 ]
Kerachian, Reza [1 ]
机构
[1] School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran
[2] Department of Civil and Architectural Engineering, Sultan Qaboos University, Muscat, Oman
[3] Department of Civil and Environmental Engineering, School of Engineering, Shiraz University, Shiraz, Iran
关键词
Compendex;
D O I
10.1016/j.scitotenv.2024.177543
中图分类号
学科分类号
摘要
Data quality
引用
收藏
相关论文
共 50 条
  • [1] DEVELOPING A METHODOLOGY FOR ESTIMATING GRASSLAND VARIABLES WITH REMOTELY SENSED DATA
    WILLIAMSON, HD
    [J]. AREA, 1992, 24 (01) : 36 - 44
  • [3] Estimating vegetation height and canopy cover from remotely sensed data with machine learning
    Stojanova, Daniela
    Panov, Pance
    Gjorgjioski, Valentin
    Kohler, Andrej
    Dzeroski, Saso
    [J]. ECOLOGICAL INFORMATICS, 2010, 5 (04) : 256 - 266
  • [4] ESTIMATING CROP YIELDS WITH DEEP LEARNING AND REMOTELY SENSED DATA
    Kuwata, Kentaro
    Shibasaki, Ryosuke
    [J]. 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 858 - 861
  • [5] Statistical evaluation of remotely sensed data for water quality monitoring
    Bilge, F
    Yazici, B
    Dogeroglu, T
    Ayday, C
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2003, 24 (24) : 5317 - 5326
  • [6] Fuzzy logic and neural techniques integration: An application to remotely sensed data
    Blonda, P
    Bennardo, A
    Satalino, G
    Pasquariello, G
    [J]. PATTERN RECOGNITION LETTERS, 1996, 17 (13) : 1343 - 1348
  • [7] Modeling Dengue vector population using remotely sensed data and machine learning
    Scavuzzo, Juan M.
    Trucco, Francisco
    Espinosa, Manuel
    Tauro, Carolina B.
    Abril, Marcelo
    Scavuzzo, Carlos M.
    Frery, Alejandro C.
    [J]. ACTA TROPICA, 2018, 185 : 167 - 175
  • [8] An integrated system for estimating crop quality based on remotely sensed imagery and GIS data
    Pan, YC
    Wang, JH
    Zhao, CJ
    Liu, LY
    Huang, WJ
    [J]. IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 1220 - 1223
  • [9] Modeling N2O emissions with remotely sensed variables using machine learning
    Adler, Paul R.
    Nguyen, Hai
    Rau, Benjamin M.
    Dell, Curtis J.
    [J]. ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2024, 6 (09):
  • [10] Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield
    Khanal, Sami
    Fulton, John
    Klopfenstein, Andrew
    Douridas, Nathan
    Shearer, Scott
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 153 : 213 - 225