Estimating ground-level PM10 concentration in northwestern China using geographically weighted regression based on satellite AOD combined with CALIPSO and MODIS fire count

Remote Sensing of Environment

Volumn 168, Issue , 2015, Pages 276-285

  You, Wei ^a,b   Zang, Zengliang ^a   Zhang, Lifeng ^a   Li, Zhijin ^b   Chen, Dan ^c   Zhang, Gui ^a  

^a PLA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Los Angeles   (United States)

^c NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

Aerosol optical depth; Fire count; Geographically weighted regression; MODIS; PM10

Indexed keywords

AEROSOLS; AGRICULTURE; ATMOSPHERIC AEROSOLS; BALLOONS; FIRES; MASKS; OPTICAL PROPERTIES; RADIOMETERS; REGRESSION ANALYSIS; SATELLITES; STORMS;

AEROSOL OPTICAL DEPTHS; GEOGRAPHICALLY WEIGHTED REGRESSION; GEOGRAPHICALLY WEIGHTED REGRESSION MODELS; GROUND LEVEL CONCENTRATIONS; METEOROLOGICAL PARAMETERS; MODIS; PM10; SATELLITE MEASUREMENTS;

PARTICLES (PARTICULATE MATTER);

AEROSOL; BIOMASS BURNING; CALIPSO; CONCENTRATION (COMPOSITION); GROUND-BASED MEASUREMENT; MODEL VALIDATION; MODIS; OPTICAL DEPTH; PARTICULATE MATTER; PERFORMANCE ASSESSMENT; PUBLIC HEALTH; REGRESSION ANALYSIS; SATELLITE DATA;

CHINA;

EID: 84938089268     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.07.020     Document Type: Article

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