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Journal Abstract Search

465 related items for PubMed ID: 19256433

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  • 5. Satellite detection of bird communities in tropical countryside.
    Ranganathan J, Chan KM, Daily GC.
    Ecol Appl; 2007 Jul; 17(5):1499-510. PubMed ID: 17708224
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  • 6. Mapping urban forest tree species using IKONOS imagery: preliminary results.
    Pu R.
    Environ Monit Assess; 2011 Jan; 172(1-4):199-214. PubMed ID: 20140503
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  • 7. Land desertification monitoring and assessment in Yulin of Northwest China using remote sensing and geographic information systems (GIS).
    Zhang Y, Chen Z, Zhu B, Luo X, Guan Y, Guo S, Nie Y.
    Environ Monit Assess; 2008 Dec; 147(1-3):327-37. PubMed ID: 18197462
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  • 9. Integration of satellite imagery and forest inventory in mapping dominant and associated species at a regional scale.
    Zhang Y, He HS, Dijak WD, Yang J, Shifley SR, Palik BJ.
    Environ Manage; 2009 Aug; 44(2):312-23. PubMed ID: 19488811
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  • 12. Application of remote and in situ information to the management of wetlands in Poland.
    Dabrowska-Zielinska K, Gruszczynska M, Lewinski S, Hoscilo A, Bojanowski J.
    J Environ Manage; 2009 May; 90(7):2261-9. PubMed ID: 18423845
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  • 15. Remote Sensing and Geographic Information Systems and risk of American visceral leishmaniasis in Bahia, Brazil.
    Bavia ME, Carneiro DD, Gurgel Hda C, Madureira Filho C, Barbosa MG.
    Parassitologia; 2005 Mar; 47(1):165-9. PubMed ID: 16044686
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  • 16. Deforestation and plant diversity of Madagascar's littoral forests.
    Consiglio T, Schatz GE, McPherson G, Lowry PP, Rabenantoandro J, Rogers ZS, Rabevohitra R, Rabehevitra D.
    Conserv Biol; 2006 Dec; 20(6):1799-803. PubMed ID: 17181815
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  • 17. How can the dynamics of the tundra-taiga boundary be remotely monitored?
    Rees G, Brown I, Mikkola K, Virtanen T, Werkman B.
    Ambio; 2002 Aug; Spec No 12():56-62. PubMed ID: 12374060
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  • 19. Monitoring forest dynamics with multi-scale and time series imagery.
    Huang C, Zhou Z, Wang D, Dian Y.
    Environ Monit Assess; 2016 May; 188(5):273. PubMed ID: 27056478
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  • 20. Using remote sensing and geographic information systems to identify villages at high risk for rhodesiense sleeping sickness in Uganda.
    Odiit M, Bessell PR, Fèvre EM, Robinson T, Kinoti J, Coleman PG, Welburn SC, McDermott J, Woolhouse ME.
    Trans R Soc Trop Med Hyg; 2006 Apr; 100(4):354-62. PubMed ID: 16246384
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