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 *

112 related articles for article (PubMed ID: 36554193)

  • 1. Exploring Long-Term Anomalies in the Vegetation Cover of Peri-Urban Parks Using the Fisher-Shannon Method.
    Telesca L; Aromando A; Faridani F; Lovallo M; Cardettini G; Abate N; Papitto G; Lasaponara R
    Entropy (Basel); 2022 Dec; 24(12):. PubMed ID: 36554193
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Using the Negative Soil Adjustment Factor of Soil Adjusted Vegetation Index (SAVI) to Resist Saturation Effects and Estimate Leaf Area Index (LAI) in Dense Vegetation Areas.
    Zhen Z; Chen S; Yin T; Chavanon E; Lauret N; Guilleux J; Henke M; Qin W; Cao L; Li J; Lu P; Gastellu-Etchegorry JP
    Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33803032
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Analysis of Multifractal and Organization/Order Structure in Suomi-NPP VIIRS Normalized Difference Vegetation Index Series of Wildfire Affected and Unaffected Sites by Using the Multifractal Detrended Fluctuation Analysis and the Fisher-Shannon Analysis.
    Ba R; Song W; Lovallo M; Lo S; Telesca L
    Entropy (Basel); 2020 Apr; 22(4):. PubMed ID: 33286189
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Spatio-temporal variability of vegetation and its relation to different hydroclimatic factors in Bangladesh.
    Das S; Sarkar SK
    Heliyon; 2023 Aug; 9(8):e18412. PubMed ID: 37533977
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improving the Prediction of African Savanna Vegetation Variables Using Time Series of MODIS Products.
    Tsalyuk M; Kelly M; Getz WM
    ISPRS J Photogramm Remote Sens; 2017 Sep; 131():77-91. PubMed ID: 30739997
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Comparison of GIMMS and MODIS normalized vegetation index composite data for Qing-Hai-Tibet Plateau].
    Du JQ; Shu JM; Wang YH; Li YC; Zhang LB; Guo Y
    Ying Yong Sheng Tai Xue Bao; 2014 Feb; 25(2):533-44. PubMed ID: 24830255
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Nonlinear Changes in Dryland Vegetation Greenness over East Inner Mongolia, China, in Recent Years from Satellite Time Series.
    Ding C; Huang W; Li Y; Zhao S; Huang F
    Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32660076
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Assessment of MODIS-EVI, MODIS-NDVI and VEGETATION-NDVI composite data using agricultural measurements: an example at corn fields in western Mexico.
    Chen PY; Fedosejevs G; Tiscareño-López M; Arnold JG
    Environ Monit Assess; 2006 Aug; 119(1-3):69-82. PubMed ID: 16362566
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Spatial Pattern and Dynamic Change of Vegetation Greenness From 2001 to 2020 in Tibet, China.
    Jiang F; Deng M; Long Y; Sun H
    Front Plant Sci; 2022; 13():892625. PubMed ID: 35548309
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multifractal Analysis of MODIS Aqua and Terra Satellite Time Series of Normalized Difference Vegetation Index and Enhanced Vegetation Index of Sites Affected by Wildfires.
    Ba R; Lovallo M; Song W; Zhang H; Telesca L
    Entropy (Basel); 2022 Nov; 24(12):. PubMed ID: 36554153
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Breaks in MODIS time series portend vegetation change: verification using long-term data in an arid grassland ecosystem.
    Browning DM; Maynard JJ; Karl JW; Peters DC
    Ecol Appl; 2017 Jul; 27(5):1677-1693. PubMed ID: 28423459
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Time-series dataset on land surface temperature, vegetation, built up areas and other climatic factors in top 20 global cities (2000-2018).
    Jamei Y; Rajagopalan P; Sun QC
    Data Brief; 2019 Apr; 23():103803. PubMed ID: 31372448
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Effect of check dams on riparian vegetation cover: A multiscale approach based on field measurements and satellite images for Leaf Area Index assessment.
    Ricci GF; Romano G; Leronni V; Gentile F
    Sci Total Environ; 2019 Mar; 657():827-838. PubMed ID: 30677948
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine.
    Reyes-Muñoz P; Pipia L; Salinero-Delgado M; Belda S; Berger K; Estévez J; Morata M; Rivera-Caicedo JP; Verrelst J
    Remote Sens (Basel); 2022 Mar; 14(6):1347. PubMed ID: 36016907
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Vegetation productivity patterns at high northern latitudes: a multi-sensor satellite data assessment.
    Guay KC; Beck PS; Berner LT; Goetz SJ; Baccini A; Buermann W
    Glob Chang Biol; 2014 Oct; 20(10):3147-58. PubMed ID: 24890614
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Drought impact assessment from monitoring the seasonality of vegetation condition using long-term time-series satellite images: a case study of Mt. Kenya region.
    Song Y; Njoroge JB; Morimoto Y
    Environ Monit Assess; 2013 May; 185(5):4117-24. PubMed ID: 22972316
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Pheno-climatic profiles of vegetation based on multitemporal analysis of satellite data].
    Taddei R
    Parassitologia; 2004 Jun; 46(1-2):63-6. PubMed ID: 15305688
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improved global 250 m 8-day NDVI and EVI products from 2000-2021 using the LSTM model.
    Xiong C; Ma H; Liang S; He T; Zhang Y; Zhang G; Xu J
    Sci Data; 2023 Nov; 10(1):800. PubMed ID: 37963885
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Classification of homogeneous regions of vegetation cover in the State of Rio Grande do Sul, Brazil and its temporal dynamics, using AVHRR GIMMS and MODIS data sets.
    Cordeiro APA; Alves RCM; Steffler APLW; Mengue VP; Fontana DC; Roglio VS; Guasselli LA
    An Acad Bras Cienc; 2021; 93(3):e20201278. PubMed ID: 34161514
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to Topographic Effects: A Case Study in High-density Cypress Forest.
    Matsushita B; Yang W; Chen J; Onda Y; Qiu G
    Sensors (Basel); 2007 Nov; 7(11):2636-2651. PubMed ID: 28903251
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.