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 *

111 related articles for article (PubMed ID: 32464384)

  • 1. Mapping China's time-series anthropogenic heat flux with inventory method and multi-source remotely sensed data.
    Wang S; Hu D; Yu C; Chen S; Di Y
    Sci Total Environ; 2020 Sep; 734():139457. PubMed ID: 32464384
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Appraising regional anthropogenic heat flux using high spatial resolution NTL and POI data: A case study in the Beijing-Tianjin-Hebei region, China.
    Wang Y; Hu D; Yu C; Di Y; Wang S; Liu M
    Environ Pollut; 2022 Jan; 292(Pt A):118359. PubMed ID: 34648842
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Estimation of anthropogenic heat emissions in China using Cubist with points-of-interest and multisource remote sensing data.
    Chen Q; Yang X; Ouyang Z; Zhao N; Jiang Q; Ye T; Qi J; Yue W
    Environ Pollut; 2020 Nov; 266(Pt 1):115183. PubMed ID: 32673933
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Spatially Explicit Modeling of Anthropogenic Heat Intensity in Beijing Center Area: An Investigation of Driving Factors with Urban Spatial Forms.
    Yang M; Cao S; Zhang D
    Sensors (Basel); 2023 Sep; 23(17):. PubMed ID: 37688066
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimation of anthropogenic heat emissions in urban Taiwan and their spatial patterns.
    Koralegedara SB; Lin CY; Sheng YF; Kuo CH
    Environ Pollut; 2016 Aug; 215():84-95. PubMed ID: 27179327
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Characterizing spatiotemporal dynamics of anthropogenic heat fluxes: A 20-year case study in Beijing-Tianjin-Hebei region in China.
    Chen S; Hu D; Wong MS; Ren H; Cao S; Yu C; Ho HC
    Environ Pollut; 2019 Jun; 249():923-931. PubMed ID: 30965544
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improved anthropogenic heat flux model for fine spatiotemporal information in Southeast China.
    Qian J; Meng Q; Zhang L; Hu D; Hu X; Liu W
    Environ Pollut; 2022 Apr; 299():118917. PubMed ID: 35101557
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A new global gridded anthropogenic heat flux dataset with high spatial resolution and long-term time series.
    Jin K; Wang F; Chen D; Liu H; Ding W; Shi S
    Sci Data; 2019 Jul; 6(1):139. PubMed ID: 31366934
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Assessment of land surface temperature and heat fluxes over Delhi using remote sensing data.
    Chakraborty SD; Kant Y; Mitra D
    J Environ Manage; 2015 Jan; 148():143-52. PubMed ID: 24360191
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Assessing anthropogenic heat flux of public cloud data centers: current and future trends.
    Baniata H; Mahmood S; Kertesz A
    PeerJ Comput Sci; 2021; 7():e478. PubMed ID: 34013027
    [TBL] [Abstract][Full Text] [Related]  

  • 11. High spatial- and temporal-resolution anthropogenic heat discharge estimation in Los Angeles County, California.
    Zheng Y; Weng Q
    J Environ Manage; 2018 Jan; 206():1274-1286. PubMed ID: 28743563
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detailed urban roughness parametrization for anthropogenic heat flux estimation using earth observation data.
    Bhatt MM; Gupta K; Danodia A; Chakroborty SD; Patel NR
    Heliyon; 2023 Jul; 9(7):e18361. PubMed ID: 37519678
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A new global anthropogenic heat estimation based on high-resolution nighttime light data.
    Yang W; Luan Y; Liu X; Yu X; Miao L; Cui X
    Sci Data; 2017 Aug; 4():170116. PubMed ID: 28829436
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Influences of land cover types, meteorological conditions, anthropogenic heat and urban area on surface urban heat island in the Yangtze River Delta Urban Agglomeration.
    Du H; Wang D; Wang Y; Zhao X; Qin F; Jiang H; Cai Y
    Sci Total Environ; 2016 Nov; 571():461-70. PubMed ID: 27424113
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Estimation of Daily Terrestrial Latent Heat Flux with High Spatial Resolution from MODIS and Chinese GF-1 Data.
    Bei X; Yao Y; Zhang L; Lin Y; Liu S; Jia K; Zhang X; Shang K; Yang J; Chen X; Guo X
    Sensors (Basel); 2020 May; 20(10):. PubMed ID: 32429110
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effects of anthropogenic heat release upon the urban climate in a Japanese megacity.
    Narumi D; Kondo A; Shimoda Y
    Environ Res; 2009 May; 109(4):421-31. PubMed ID: 19349044
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Spatially Explicit Large Area Biomass Estimation: Three Approaches Using Forest Inventory and Remotely Sensed Imagery in a GIS.
    Wulder MA; White JC; Fournier RA; Luther JE; Magnussen S
    Sensors (Basel); 2008 Jan; 8(1):529-560. PubMed ID: 27879721
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Investigating the Spatiotemporal Variability and Driving Factors of Artificial Lighting in the Beijing-Tianjin-Hebei Region Using Remote Sensing Imagery and Socioeconomic Data.
    Leng W; He G; Jiang W
    Int J Environ Res Public Health; 2019 Jun; 16(11):. PubMed ID: 31159391
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The association between childhood adiposity in northeast China and anthropogenic heat flux: A new insight into the comprehensive impact of human activities.
    Zhang HZ; Wang DS; Wu SH; Huang GF; Chen DH; Ma HM; Zhang YT; Guo LH; Lin LZ; Gui ZH; Liu RQ; Hu LW; Yang JW; Zhang WJ; Dong GH
    Int J Hyg Environ Health; 2023 Sep; 254():114258. PubMed ID: 37703624
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [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]  

    [Next]    [New Search]
    of 6.