Machine learning and bias correction of MODIS aerosol optical depth

IEEE Geoscience and Remote Sensing Letters

Volumn 6, Issue 4, 2009, Pages 694-698

  Lary, D J ^a,b   Remer, L A ^b   MacNeill, D ^b   Roscoe, B ^b   Paradise, S ^c  

^a UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

^c CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Aerosol optical depth (AOD); Machine learning; Neural networks; Support vector machines (SVMs)

Indexed keywords

AEROSOL OPTICAL DEPTH (AOD); AEROSOL OPTICAL DEPTHS; AEROSOL PROPERTIES; AEROSOL ROBOTIC NETWORKS; BIAS CORRECTION; GROUND BASED; MACHINE LEARNING; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; SURFACE REFLECTANCE;

ATMOSPHERICS; EDUCATION; IMAGE RETRIEVAL; NEURAL NETWORKS; RADIOMETERS; ROBOT LEARNING; SATELLITE IMAGERY; SPECTROMETERS; SUPPORT VECTOR MACHINES;

ATMOSPHERIC AEROSOLS;

EID: 70350276188     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2009.2023605     Document Type: Article

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