BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

173 related articles for article (PubMed ID: 22586953)

  • 1. [Evaluation of remote sensing extraction methods for vegetation phenology based on flux tower net ecosystem carbon exchange data].
    Mou MJ; Zhu WQ; Wang LL; Xu YJ; Liu JH
    Ying Yong Sheng Tai Xue Bao; 2012 Feb; 23(2):319-27. PubMed ID: 22586953
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Extraction of temperate vegetation phenology thresholds in North America based on flux tower observation data].
    Zhao JJ; Liu LY
    Ying Yong Sheng Tai Xue Bao; 2013 Feb; 24(2):311-8. PubMed ID: 23705372
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Phenological characteristics of net ecosystem carbon exchange of
    Wang J; Zhou GS; He QJ; Zhou L
    Ying Yong Sheng Tai Xue Bao; 2024 Mar; 35(3):659-668. PubMed ID: 38646753
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Differences of vegetation phenology monitoring by remote sensing based on different spectral vegetation indices.].
    Zuo L; Wang HJ; Liu RG; Liu Y; Shang R
    Ying Yong Sheng Tai Xue Bao; 2018 Feb; 29(2):599-606. PubMed ID: 29692076
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Greater deciduous shrub abundance extends tundra peak season and increases modeled net CO2 uptake.
    Sweet SK; Griffin KL; Steltzer H; Gough L; Boelman NT
    Glob Chang Biol; 2015 Jun; 21(6):2394-409. PubMed ID: 25556338
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Greater phenological sensitivity to temperature on higher Scottish mountains: new insights from remote sensing.
    Chapman DS
    Glob Chang Biol; 2013 Nov; 19(11):3463-71. PubMed ID: 23661383
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Understanding spatio-temporal variation of vegetation phenology and rainfall seasonality in the monsoon Southeast Asia.
    Suepa T; Qi J; Lawawirojwong S; Messina JP
    Environ Res; 2016 May; 147():621-9. PubMed ID: 26922262
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Extraction of structured vegetation cover index for Loess Area in North Shaanxi based on TM images].
    Lei WN; Wen ZM
    Ying Yong Sheng Tai Xue Bao; 2009 Nov; 20(11):2736-42. PubMed ID: 20136009
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Kriging analysis of vegetation index depression in peak cluster karst area].
    Yang QY; Jiang ZC; Ma ZL; Cao JH; Luo WQ; Li WJ; Duan XF
    Huan Jing Ke Xue; 2012 Apr; 33(4):1404-8. PubMed ID: 22720596
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An analysis of relationships among plant community phenology and seasonal metrics of Normalized Difference Vegetation Index in the northern part of the monsoon region of China.
    Chen X; Xu C; Tan Z
    Int J Biometeorol; 2001 Nov; 45(4):170-7. PubMed ID: 11769316
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of Crop Yield Using Phenological Information Extracted from Remote Sensing Vegetation Index.
    Ji Z; Pan Y; Zhu X; Wang J; Li Q
    Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33671356
    [TBL] [Abstract][Full Text] [Related]  

  • 12. How to measure ecosystem stability? An evaluation of the reliability of stability metrics based on remote sensing time series across the major global ecosystems.
    De Keersmaecker W; Lhermitte S; Honnay O; Farifteh J; Somers B; Coppin P
    Glob Chang Biol; 2014 Jul; 20(7):2149-61. PubMed ID: 24777443
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluating autumn phenology derived from field observations, satellite data, and carbon flux measurements in a northern mixed forest, USA.
    Zhao B; Donnelly A; Schwartz MD
    Int J Biometeorol; 2020 May; 64(5):713-727. PubMed ID: 32072321
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Phenology of forest vegetation in northeast of China in ten years using remote sensing].
    Hou XH; Niu Z; Gao S
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Feb; 34(2):515-9. PubMed ID: 24822431
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Estimation of desert vegetation coverage based on multi-source remote sensing data].
    Wan HM; Li X; Dong DR
    Ying Yong Sheng Tai Xue Bao; 2012 Dec; 23(12):3331-7. PubMed ID: 23479874
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Estimation of rice phenology date using integrated HJ-1 CCD and Landsat-8 OLI vegetation indices time-series images.
    Wang J; Huang JF; Wang XZ; Jin MT; Zhou Z; Guo QY; Zhao ZW; Huang WJ; Zhang Y; Song XD
    J Zhejiang Univ Sci B; 2015 Oct; 16(10):832-44. PubMed ID: 26465131
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Monitoring vegetation cover in Chongqing between 2001 and 2010 using remote sensing data.
    Xiao Q; Tao J; Xiao Y; Qian F
    Environ Monit Assess; 2017 Sep; 189(10):493. PubMed ID: 28884302
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Review: advances in in situ and satellite phenological observations in Japan.
    Nagai S; Nasahara KN; Inoue T; Saitoh TM; Suzuki R
    Int J Biometeorol; 2016 Apr; 60(4):615-27. PubMed ID: 26307639
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Alpine vegetation phenology dynamic over 16years and its covariation with climate in a semi-arid region of China.
    Zhou J; Cai W; Qin Y; Lai L; Guan T; Zhang X; Jiang L; Du H; Yang D; Cong Z; Zheng Y
    Sci Total Environ; 2016 Dec; 572():119-128. PubMed ID: 27494658
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Assessing plant senescence reflectance index-retrieved vegetation phenology and its spatiotemporal response to climate change in the Inner Mongolian Grassland.
    Ren S; Chen X; An S
    Int J Biometeorol; 2017 Apr; 61(4):601-612. PubMed ID: 27562030
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.