Comparison and Evaluation of Different MODIS Aerosol Optical Depth Products Over the Beijing-Tianjin-Hebei Region in China

Many aerosol retrieval algorithms based on the remote sensing technology have been developed and applied to produce aerosol optical depth (AOD) products for different satellite sensors. The dark target (DT) and deep blue (DB) algorithms are two main MODIS aerosol retrieval algorithms that are suitab...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing Jg. 10; H. 3; S. 835 - 844
Hauptverfasser:	Wei, Jing, Sun, Lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.03.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Adaptability Aerosol optical depth (AOD) Aerosol Robotic Network Aerosols Air pollution Algorithms Beijing-Tianjin-Hebei Collections Correlation dark target (DT) deep blue (DB) Evaluation Falling high-resolution aerosol retrieval algorithm with a prior LSR database support (HARLS) Land surface Landsat satellites Meteorological satellites moderate resolution imaging spectroradiometer (MODIS) MODIS Offsets Optical analysis Optical surface waves Products Reflectance Remote sensing Retrieval Satellites Sea surface Temperature Uncertainty Beijing China China Hebei China
ISSN:	1939-1404, 2151-1535
Online-Zugang:	Volltext
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