%0 Dataset
%T Sand dust particulate matter data products in regions along the Belt and Road
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/e4f7ba9a-b93b-4f61-9a79-3c262a6ce767
%W NCDC
%A Yao Linjun 
%A Wang zhaobin
%K the Belt and Road;sand dust particulate matter
%X This dataset is based on MCD19A2, MOD13A3, MCD12Q1, MERRA-2, and ERA5 datasets. Through data pre - processing, data up - sampling, and spatio - temporal matching, various data such as aerosol optical thickness, normalized difference vegetation index, land cover type, and meteorological parameters are extracted. The observed values from the ground stations of the China National Environmental Monitoring Centre are used as the target true values. The machine learning algorithm LightGBM is employed to train a model, and then the daily sand - dust particulate matter products with a resolution of 1 km in the regions along the Belt and Road from 2000 to 2022 are retrieved. This sand - dust particulate matter concentration dataset provides basic data for the sand - dust research in the regions along the Belt and Road.1.Dataset Naming: 2011001.h22v04.tiff“201101” represents the date. “h22v04” corresponds to the tile of MCD19A2. Band 1 in the tiff file is the corresponding concentration value.2.Dimension (Measurement Unit):Milligram per cubic meter3.The size of each tiff image is 1200×1200 pixels.