Google Earth Engine（GEE）——长期无缝隙高分辨率空气污染物（LGHAP）
Google Earth Engine（GEE）——长期无缝隙高分辨率空气污染物（LGHAP）
长期无缝隙高分辨率空气污染物（LGHAP） 长期无缝隙高分辨率空气污染物浓度数据集（简称LGHAP）对环境管理和地球系统科学分析具有重要意义。在目前发布的LGHAP气溶胶数据集（LGHAP.v1）中，提供了长达21年（2000-2020年）的无间隙AOD、PM2.5和PM10网格，分辨率为1公里，覆盖中国陆地。您可以在这里阅读已接受的预印本https://essd.copernicus.org/preprints/essd-2021-404/essd-2021-404.pdf
具体来说，通过对高维网格图像分析的空间模式识别和统计数据挖掘中的知识转移，基于一组从卫星获得的AOD数据张量、数值分析和现场空气质量数据，重建了Terra上的MODIS每日AOD图像的数据缺口。前言 – 床长人工智能教程
Citation¶
Bai, K., Li, K., Ma, M., Li, K., Li, Z., Guo, J., Chang, N.-B., Tan, Z., and Han, D.: LGHAP: a Long-term Gap-free High-resolution Air Pollutants concentration dataset derived
via tensor flow based multimodal data fusion, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2021-404, in review, 2021.Data Citation¶
Kaixu Bai, Ke Li, Zhuo Tan, Di Han, & Jianping Guo. (2021). Daily 1-km gap-free AOD grids in China, v1 (2000–2020). [Data set].
Zenodo. https://doi.org/10.5281/zenodo.5652257
Kaixu Bai, Ke Li, Zhuo Tan, Di Han, & Jianping Guo. (2021). Daily 1-km gap-free PM2.5 grids in China, v1 (2000–2020). [Data set].
Zenodo. https://doi.org/10.5281/zenodo.5652265
Kaixu Bai, Ke Li, Zhuo Tan, Di Han, & Jianping Guo. (2021). Daily 1-km gap-free PM10 grids in China, v1 (2000–2020). [Data set].
Zenodo. https://doi.org/10.5281/zenodo.5652263
Kaixu Bai, Ke Li, Zhuo Tan, Di Han, & Jianping Guo. (2021). Monthly averaged 1-km gap-free AOD, PM2.5, and PM10 grids in China, v1 (2000–2020). [Data set].
Zenodo. https://doi.org/10.5281/zenodo.5655797
Kaixu Bai, Ke Li, Zhuo Tan, Di Han, & Jianping Guo. (2021). Annual mean 1-km gap-free AOD, PM2.5, and PM10 grids in China, v1 (2000–2020). [Data set].
Zenodo. https://doi.org/10.5281/zenodo.5655807数据预处理 所有的数据集都是以netCDF文件格式提供的，作者确实提供了一些与geotiff对话的代码。他们的代码被修改，以支持多线程批量处理，同时增加了LZW压缩。总的来说，未压缩的大小约为4TB，在所有的资产中，摄入后的大小降到了246.65GB。代码也进行了调整，以处理平铺，优化输出文件。此外，还为GEE资产添加了快速过滤和排序的日期。
Collection Name | Collection Path |
|---|---|
AOD_daily | projects/sat-io/open-datasets/LGHAP/AOD_daily |
AOD_monthly_avg | projects/sat-io/open-datasets/LGHAP/AOD_monthly_avg |
AOD_yearly_avg | projects/sat-io/open-datasets/LGHAP/AOD_yearly_avg |
PM10_daily | projects/sat-io/open-datasets/LGHAP/PM10_daily |
PM10_monthly_avg | projects/sat-io/open-datasets/LGHAP/PM10_monthly_avg |
PM10_yearly_avg | projects/sat-io/open-datasets/LGHAP/PM10_yearly_avg |
PM25_daily | projects/sat-io/open-datasets/LGHAP/PM25_daily |
PM25_monthly_avg | projects/sat-io/open-datasets/LGHAP/PM25_monthly_avg |
PM25_yearly_avg | projects/sat-io/open-datasets/LGHAP/PM25_yearly_avg |
Earth Engine Snippet¶
var aod_daily = ee.ImageCollection("projects/sat-io/open-datasets/LGHAP/AOD_daily");
var aod_monthly_avg = ee.ImageCollection("projects/sat-io/open-datasets/LGHAP/AOD_monthly_avg");
var aod_yearly_avg = ee.ImageCollection("projects/sat-io/open-datasets/LGHAP/AOD_yearly_avg");
var pm10_daily = ee.ImageCollection("projects/sat-io/open-datasets/LGHAP/PM10_daily");
var pm10_monthly_avg = ee.ImageCollection("projects/sat-io/open-datasets/LGHAP/PM10_monthly_avg");
var pm10_yearly_avg = ee.ImageCollection("projects/sat-io/open-datasets/LGHAP/PM10_yearly_avg");
var pm25_daily = ee.ImageCollection("projects/sat-io/open-datasets/LGHAP/PM25_daily");
var pm25_monthly_avg = ee.ImageCollection("projects/sat-io/open-datasets/LGHAP/PM25_monthly_avg");
var pm25_yearly_avg = ee.ImageCollection("projects/sat-io/open-datasets/LGHAP/PM25_yearly_avg");License¶
This work is distributed under the Creative Commons Attribution 4.0 International License
Created by: Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo
Curated by: Samapriya Roy
Keywords: AOD, PM2.5, PM10, Gap free
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