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 *

100 related articles for article (PubMed ID: 31442721)

  • 1. A geostatistical approach for multi-source data fusion to predict water table depth.
    Manzione RL; Castrignanò A
    Sci Total Environ; 2019 Dec; 696():133763. PubMed ID: 31442721
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A combined geostatistical approach of data fusion and stochastic simulation for probabilistic assessment of shallow water table depth risk.
    Manzione RL; Silva COF; Castrignanò A
    Sci Total Environ; 2021 Apr; 765():142743. PubMed ID: 33572040
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A multi-source data fusion approach to assess spatial-temporal variability and delineate homogeneous zones: A use case in a table grape vineyard in Greece.
    Anastasiou E; Castrignanò A; Arvanitis K; Fountas S
    Sci Total Environ; 2019 Sep; 684():155-163. PubMed ID: 31153064
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Interpolations of groundwater table elevation in dissected uplands.
    Chung JW; Rogers JD
    Ground Water; 2012; 50(4):598-607. PubMed ID: 22107357
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Application and evaluation of kriging and cokriging methods on groundwater depth mapping.
    Ahmadi SH; Sedghamiz A
    Environ Monit Assess; 2008 Mar; 138(1-3):357-68. PubMed ID: 17525831
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combining two national-scale datasets to map soil properties, the case of available magnesium in England and Wales.
    Lark RM; Ander EL; Broadley MR
    Eur J Soil Sci; 2019 Mar; 70(2):361-377. PubMed ID: 30983873
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improvement of water table interpolation and groundwater storage volume using fuzzy computations.
    Masoumi Z; Rezaei A; Maleki J
    Environ Monit Assess; 2019 May; 191(6):401. PubMed ID: 31134353
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Joint Assimilation of Leaf Area Index and Soil Moisture from Sentinel-1 and Sentinel-2 Data into the WOFOST Model for Winter Wheat Yield Estimation.
    Pan H; Chen Z; Allard W; Ren J
    Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31323829
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Linking riparian dynamics and groundwater: an ecohydrologic approach to modeling groundwater and riparian vegetation.
    Baird KJ; Stromberg JC; Maddock T
    Environ Manage; 2005 Oct; 36(4):551-64. PubMed ID: 16222461
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Global patterns of groundwater table depth.
    Fan Y; Li H; Miguez-Macho G
    Science; 2013 Feb; 339(6122):940-3. PubMed ID: 23430651
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Geostatistical surfaces of climatological normals of mean air temperature in Minas Gerais.
    de Carvalho Alves M; Sanches L; de Carvalho LG
    Environ Monit Assess; 2022 Jun; 194(7):513. PubMed ID: 35715651
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Extinction depth and evapotranspiration from ground water under selected land covers.
    Shah N; Nachabe M; Ross M
    Ground Water; 2007; 45(3):329-38. PubMed ID: 17470122
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Compositional cokriging for mapping the probability risk of groundwater contamination by nitrates.
    Pardo-Igúzquiza E; Chica-Olmo M; Luque-Espinar JA; Rodríguez-Galiano V
    Sci Total Environ; 2015 Nov; 532():162-75. PubMed ID: 26070026
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Geostatistical uncertainty of assessing air quality using high-spatial-resolution lichen data: A health study in the urban area of Sines, Portugal.
    Ribeiro MC; Pinho P; Branquinho C; Llop E; Pereira MJ
    Sci Total Environ; 2016 Aug; 562():740-750. PubMed ID: 27110985
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Mapping soil gas radon concentration: a comparative study of geostatistical methods.
    Buttafuoco G; Tallarico A; Falcone G
    Environ Monit Assess; 2007 Aug; 131(1-3):135-51. PubMed ID: 17242970
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Modeling and Mapping High Water Table for a Coastal Region in Florida using Lidar DEM Data.
    Zhang C; Su H; Li T; Liu W; Mitsova D; Nagarajan S; Teegavarapu R; Xie Z; Bloetscher F; Yong Y
    Ground Water; 2021 Mar; 59(2):190-198. PubMed ID: 32808323
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting water table response to rainfall events, central Florida.
    van Gaalen JF; Kruse S; Lafrenz WB; Burroughs SM
    Ground Water; 2013; 51(3):350-62. PubMed ID: 22834892
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Combined Approach of Sensor Data Fusion and Multivariate Geostatistics for Delineation of Homogeneous Zones in an Agricultural Field.
    Castrignanò A; Buttafuoco G; Quarto R; Vitti C; Langella G; Terribile F; Venezia A
    Sensors (Basel); 2017 Dec; 17(12):. PubMed ID: 29207510
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Mapping water table depth using geophysical and environmental variables.
    Buchanan S; Triantafilis J
    Ground Water; 2009; 47(1):80-96. PubMed ID: 18793206
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Precision of spatial interpolation for forest duff layer depth based on secondary variable].
    Liu ZH; Chang Y; He HS; Chen HW
    Ying Yong Sheng Tai Xue Bao; 2009 Jan; 20(1):77-83. PubMed ID: 19449569
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.