%0 Dataset
%T Daily dust aerosol optical thickness dataset along the "the Belt and Road" (2000-2022)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/f48b3581-bdc3-43ad-8a96-fc9115628b4d
%W NCDC
%R 10.12072/ncdc.2022yff.db6814.2025
%A Wu xiaolin
%A Wang zhaobin
%K Asian;Land Dust Aerosols
%X This data set is based on the MCD19A2, MERRA-2, ERA5_land data sets. Through data pre-processing, data sampling, space-time matching, the aerosol optical thickness (AOD), wavelength index (AE), meteorological parameters and other data are extracted. The AERONET ground station observation values are taken as the target truth values, and the machine learning algorithm LightGBM training model is used to retrieve the daily 1-km resolution land dust aerosol optical thickness in the "the Belt and Road" desert area from 2000 to 2022. This dust aerosol optical depth dataset provides basic data for dust research in the "the Belt and Road" area.  1. Dataset Name: Dust-Aerosol-Optica-Depth  2. Attribute information  Lon: Longitude of the dataset (°)  Lat: Latitude of the dataset (°)  Dust-AOD: Optical thickness of dust aerosols