These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

190 related articles for article (PubMed ID: 36401670)

  • 1. Application and recent progress of inland water monitoring using remote sensing techniques.
    Cao Q; Yu G; Qiao Z
    Environ Monit Assess; 2022 Nov; 195(1):125. PubMed ID: 36401670
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques.
    Gholizadeh MH; Melesse AM; Reddi L
    Sensors (Basel); 2016 Aug; 16(8):. PubMed ID: 27537896
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A study on water quality parameters estimation for urban rivers based on ground hyperspectral remote sensing technology.
    Hou Y; Zhang A; Lv R; Zhao S; Ma J; Zhang H; Li Z
    Environ Sci Pollut Res Int; 2022 Sep; 29(42):63640-63654. PubMed ID: 35460477
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Research progress of inland river water quality monitoring technology based on unmanned aerial vehicle hyperspectral imaging technology.
    Bai X; Wang J; Chen R; Kang Y; Ding Y; Lv Z; Ding D; Feng H
    Environ Res; 2024 Sep; 257():119254. PubMed ID: 38815715
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Monitoring water quality using proximal remote sensing technology.
    Sun X; Zhang Y; Shi K; Zhang Y; Li N; Wang W; Huang X; Qin B
    Sci Total Environ; 2022 Jan; 803():149805. PubMed ID: 34492494
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Study on remote sensing inversion and temporal-spatial variation of Hulun lake water quality based on machine learning.
    Song W; A Y; Wang Y; Fang Q; Tang R
    J Contam Hydrol; 2024 Jan; 260():104282. PubMed ID: 38101229
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Method for Chlorophyll-a and Suspended Solids Prediction through Remote Sensing and Machine Learning.
    Silveira Kupssinskü L; Thomassim Guimarães T; Menezes de Souza E; C Zanotta D; Roberto Veronez M; Gonzaga L; Mauad FF
    Sensors (Basel); 2020 Apr; 20(7):. PubMed ID: 32283787
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery.
    Niu C; Tan K; Jia X; Wang X
    Environ Pollut; 2021 Oct; 286():117534. PubMed ID: 34119861
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Progress in inversion of vegetation nitrogen concentration by hyperspectral remote sensing].
    Wang LW; Wei YX
    Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Oct; 33(10):2823-7. PubMed ID: 24409743
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Cyanobacterial pigment concentrations in inland waters: Novel semi-analytical algorithms for multi- and hyperspectral remote sensing data.
    Dev PJ; Sukenik A; Mishra DR; Ostrovsky I
    Sci Total Environ; 2022 Jan; 805():150423. PubMed ID: 34818810
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ocean water quality monitoring using remote sensing techniques: A review.
    Mohseni F; Saba F; Mirmazloumi SM; Amani M; Mokhtarzade M; Jamali S; Mahdavi S
    Mar Environ Res; 2022 Sep; 180():105701. PubMed ID: 35939895
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Monitor water quality through retrieving water quality parameters from hyperspectral images using graph convolution network with superposition of multi-point effect: A case study in Maozhou River.
    Zhang Y; Kong X; Deng L; Liu Y
    J Environ Manage; 2023 Sep; 342():118283. PubMed ID: 37290307
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Remote sensing retrieval of inland water quality parameters using Sentinel-2 and multiple machine learning algorithms.
    Tian S; Guo H; Xu W; Zhu X; Wang B; Zeng Q; Mai Y; Huang JJ
    Environ Sci Pollut Res Int; 2023 Feb; 30(7):18617-18630. PubMed ID: 36217046
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Research Progress on Remote Sensing Monitoring of Lake Water Quality Parameters].
    Wang SM; Qin BQ
    Huan Jing Ke Xue; 2023 Mar; 44(3):1228-1243. PubMed ID: 36922185
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fuzzy-based global water quality assessment and water quality cells identification using satellite data.
    Dilipkumar J; Shanmugam P
    Mar Pollut Bull; 2023 Aug; 193():115148. PubMed ID: 37327718
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Remote sensing estimation of the total phosphorus concentration in a large lake using band combinations and regional multivariate statistical modeling techniques.
    Gao Y; Gao J; Yin H; Liu C; Xia T; Wang J; Huang Q
    J Environ Manage; 2015 Mar; 151():33-43. PubMed ID: 25528271
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A critical and intensive review on assessment of water quality parameters through geospatial techniques.
    Dey J; Vijay R
    Environ Sci Pollut Res Int; 2021 Aug; 28(31):41612-41626. PubMed ID: 34105074
    [TBL] [Abstract][Full Text] [Related]  

  • 18. UAV and satellite remote sensing for inland water quality assessments: a literature review.
    Wasehun ET; Hashemi Beni L; Di Vittorio CA
    Environ Monit Assess; 2024 Feb; 196(3):277. PubMed ID: 38367097
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Tempo-spatial dynamics of water quality and its response to river flow in estuary of Taihu Lake based on GOCI imagery.
    Du C; Li Y; Wang Q; Liu G; Zheng Z; Mu M; Li Y
    Environ Sci Pollut Res Int; 2017 Dec; 24(36):28079-28101. PubMed ID: 28994019
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Optical properties and composition changes in chromophoric dissolved organic matter along trophic gradients: Implications for monitoring and assessing lake eutrophication.
    Zhang Y; Zhou Y; Shi K; Qin B; Yao X; Zhang Y
    Water Res; 2018 Mar; 131():255-263. PubMed ID: 29304379
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.