Validation and Accuracy Analysis of the Collection 6.1 MODIS Aerosol Optical Depth Over the Westernmost City in China Based on the Sun‐Sky Radiometer Observations From SONET
Open Access
- 4 March 2020
- journal article
- research article
- Published by American Geophysical Union (AGU) in Earth and Space Science
- Vol. 7 (3)
- https://doi.org/10.1029/2019ea001041
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (91637101, 41675026, 41905131, 41801367)
- China Postdoctoral Science Foundation (2019M651322)
This publication has 65 references indexed in Scilit:
- Application of spectral analysis techniques in the intercomparison of aerosol data: 1. An EOF approach to analyze the spatial‐temporal variability of aerosol optical depth using multiple remote sensing data setsJournal of Geophysical Research: Atmospheres, 2013
- Enhanced Deep Blue aerosol retrieval algorithm: The second generationJournal of Geophysical Research: Atmospheres, 2013
- Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and ApplicationEnvironmental Health Perspectives, 2010
- MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasetsRemote Sensing of Environment, 2010
- Aerosol properties over bright-reflecting source regionsIEEE Transactions on Geoscience and Remote Sensing, 2004
- Global land cover mapping from MODIS: algorithms and early resultsRemote Sensing of Environment, 2002
- AERONET—A Federated Instrument Network and Data Archive for Aerosol CharacterizationRemote Sensing of Environment, 1998
- Multi-angle Imaging SpectroRadiometer (MISR) instrument description and experiment overviewIEEE Transactions on Geoscience and Remote Sensing, 1998
- The IGBP-DIS global 1km land cover data set, DISCover: First resultsInternational Journal of Remote Sensing, 1997
- The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosolIEEE Transactions on Geoscience and Remote Sensing, 1997