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Volumn , Issue , 2015, Pages 372-380

Evidence-based landscape rehabilitation through microclimate sensing

Author keywords

Ecosystems; Government; Meteorology; Sensor phenomena and characterization; Vegetation; Wireless sensor networks

Indexed keywords

COMPLEX NETWORKS; ECOLOGY; ECOSYSTEMS; METEOROLOGY; PLANTS (BOTANY); VEGETATION;

EID: 84960888611     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SAHCN.2015.7338337     Document Type: Conference Paper
Times cited : (4)

References (12)
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    • Bubeck, S.1    Luxburg, U.V.2
  • 5
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    • J. K. Hart and K. Martinez. Environmental sensor networks: A revolution in the earth system science? Earth-Science Reviews, 78(34), 2006.
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    • Hart, J.K.1    Martinez, K.2
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    • A survey of outlier detection methodologies
    • V. J. Hodge and J. Austin. A survey of outlier detection methodologies. Artificial Intelligence Review, 22(2):85-126, 2004.
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    • Hodge, V.J.1    Austin, J.2
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    • Matplotlib: A 2d graphics environment
    • J. D. Hunter. Matplotlib: A 2d graphics environment. Computing In Science & Engineering, 9(3):90-95, 2007.
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    • Hunter, J.D.1
  • 9
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    • Data structures for statistical computing in python
    • S. van der Walt and J. Millman, editors
    • W. McKinney. Data structures for statistical computing in python. In S. van der Walt and J. Millman, editors, Proceedings of the 9th Python in Science Conference, pages 51-56, 2010.
    • (2010) Proceedings of the 9th Python in Science Conference , pp. 51-56
    • McKinney, W.1
  • 11
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    • Application of the biocondition assessment framework to mine vegetation rehabilitation
    • V. Neldner and M. Ngugi. Application of the biocondition assessment framework to mine vegetation rehabilitation. In Ecol. Manag. Restor. 15, 158-161, 2013.
    • (2013) Ecol. Manag. Restor , vol.15 , pp. 158-161
    • Neldner, V.1    Ngugi, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.