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Volumn 38, Issue , 2010, Pages 424-429

Spatio-temporal characterization of aerosols through active use of data from multiple sensors

Author keywords

Algorithms; Analysis; Atmosphere; Data mining; Environment; Retrieval; Spatial; Temporal

Indexed keywords

AEROSOLS; ALGORITHMS; ATMOSPHERIC AEROSOLS; DATA MINING; EARTH (PLANET); EARTH ATMOSPHERE; FORECASTING; NASA; RADIOMETERS; RANDOM ERRORS; REGRESSION ANALYSIS; SATELLITE IMAGERY; SATELLITES; TEMPERATURE MEASUREMENT; UNCERTAINTY ANALYSIS;

EID: 84862157611     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (19)
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  • 2
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    • Han, B.1    Vucetic, S.2    Braverman, A.3    Obradovic, Z.4
  • 6
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    • Construction of an accurate geospatial predictor by fusion of global and local models
    • B.11.2, Philadelphia, PA
    • Han, B., Vucetic, S., Braverman, A., Obradovic, Z. 2005b. Construction of an Accurate Geospatial Predictor by Fusion of Global and Local Models, Proc. IEEE 8th Int'l Conf. Information Fusion, B.11.2 pp. 1-8, Philadelphia, PA.
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  • 7
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  • 10
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    • A data mining technique for aerosol retrieval across multiple accuracy measures
    • Radosavljevic, V., Vucetic, S., Obradovic, Z. 2010a. A Data Mining Technique for Aerosol Retrieval Across Multiple Accuracy Measures, IEEE Geoscience and Remote Sensing Letters, vol. 7, no.2, pp. 411-415.
    • (2010) IEEE Geoscience and Remote Sensing Letters , vol.7 , Issue.2 , pp. 411-415
    • Radosavljevic, V.1    Vucetic, S.2    Obradovic, Z.3
  • 12
    • 70449876035 scopus 로고    scopus 로고
    • Reduction of ground-based sensor sites for spatio-temporal analysis of aerosols
    • Paris, France
    • Radosavljevic, V., Vucetic, S., Obradovic, Z. 2009. Reduction of Ground-Based Sensor Sites for Spatio-Temporal Analysis of Aerosols, Proc. 3rd International Workshop on Knowledge Discovery from Sensor Data at the 15th ACM SIGKDD Conf. Knowledge Discovery and Data Mining, Paris, France.
    • (2009) thACM SIGKDD Conf. Knowledge Discovery and Data Mining
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  • 14
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    • Evaluation of a neural networks based approach for aerosol optical depth retrieval and uncertainty estimation
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  • 18
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.