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PUBMED FOR HANDHELDS

Journal Abstract Search


385 related items for PubMed ID: 30406494

  • 1. Probability assessment of vegetation vulnerability to drought based on remote sensing data.
    Alamdarloo EH, Manesh MB, Khosravi H.
    Environ Monit Assess; 2018 Nov 08; 190(12):702. PubMed ID: 30406494
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  • 2. Analysis of vegetation dynamics, drought in relation with climate over South Asia from 1990 to 2011.
    Ali S, Henchiri M, Yao F, Zhang J.
    Environ Sci Pollut Res Int; 2019 Apr 08; 26(11):11470-11481. PubMed ID: 30806929
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  • 3. Study loss of vegetative cover and increased land surface temperature through remote sensing strategies under the inter-annual climate variability in Jinhua-Quzhou basin, China.
    Ali S, Basit A, Ali S, Umair M, Makanda TA, Shaik MR, Khan M.
    Environ Sci Pollut Res Int; 2024 Apr 08; 31(20):28950-28966. PubMed ID: 38564132
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  • 4. Remote sensing strategies to characterization of drought, vegetation dynamics in relation to climate change from 1983 to 2016 in Tibet and Xinjiang Province, China.
    Zhang H, Ali S, Ma Q, Sun L, Jiang N, Jia Q, Hou F.
    Environ Sci Pollut Res Int; 2021 May 08; 28(17):21085-21100. PubMed ID: 33405158
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  • 7. Agricultural drought assessment and monitoring using MODIS-based multiple indices: the case of North Wollo, Ethiopia.
    Wassie SB, Mengistu DA, Birlie AB.
    Environ Monit Assess; 2022 Sep 14; 194(10):787. PubMed ID: 36104465
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  • 10. Analysis of agricultural drought using vegetation temperature condition index (VTCI) from Terra/MODIS satellite data.
    Patel NR, Parida BR, Venus V, Saha SK, Dadhwal VK.
    Environ Monit Assess; 2012 Dec 14; 184(12):7153-63. PubMed ID: 22200944
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  • 11. Space-time analysis of vegetation trends and drought occurrence in domain area of tropical forest.
    Figueira Branco ER, Rosa Dos Santos A, Macedo Pezzopane JE, Banhos Dos Santos A, Alexandre RS, Bernardes VP, Gomes da Silva R, Barbosa de Souza K, Moura MM.
    J Environ Manage; 2019 Sep 15; 246():384-396. PubMed ID: 31195258
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  • 20. Assessing the role of SWIR band in detecting agricultural crop stress: a case study of Raichur district, Karnataka, India.
    Swathandran S, Aslam MAM.
    Environ Monit Assess; 2019 Jun 16; 191(7):442. PubMed ID: 31203445
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