NASA数据集——VIIRS每日 L3深蓝气溶胶网格产品（AERDB_D3_VIIRS

NASA数据集——VIIRS每日 L3深蓝气溶胶网格产品（AERDB_D3_VIIRS_SNPP），以 1 x 1 度

VIIRS/SNPP Deep Blue Level 3 monthly aerosol data, 1 degree x1 degree grid

简介

美国国家航空航天局（NASA）的可见红外成像辐射计套件（VIIRS）标准三级（L3）每月深蓝气溶胶产品来自苏米国家极轨伙伴关系（SNPP）仪器，提供全球陆地和海洋上空气溶胶光学厚度（AOT）的卫星衍生测量值及其网格集合特性。深蓝算法借鉴了以前从陆地和海洋上的海洋观测宽视场传感器（SeaWiFS）和陆地上的中分辨率成像分光仪（MODIS）测量中检索气溶胶光学厚度的应用。

该月度汇总产品（简称：AERDB_M3_VIIRS_SNPP）源自版本 2.0（V2.0）的每日 L3 网格产品（AERDB_D3_VIIRS_SNPP），以 1 x 1 度的水平分辨率网格提供。每日 L3 网格产品的算术平均值也为每月汇总产品的统计补充提供了依据。为了排除采样不佳的网格要素，该算法要求至少有 3 天的有效数据才能使给定的月度网格要素有效。该月度产品记录始于 2012 年 3 月 1 日。

该 L3 月度产品采用 netCDF 格式，包含 45 个科学数据集（SDS）图层，其名称与 L3 日度产品中的 SDS 相同，包括以下内容：

Aerosol_Optical_Thickness_550_Land_Count
Aerosol_Optical_Thickness_550_Land_Maximum
Aerosol_Optical_Thickness_550_Land_Mean
Aerosol_Optical_Thickness_550_Land_Minimum
Aerosol_Optical_Thickness_550_Land_Ocean_Count
Aerosol_Optical_Thickness_550_Land_Ocean_Maximum
Aerosol_Optical_Thickness_550_Land_Ocean_Mean
Aerosol_Optical_Thickness_550_Land_Ocean_Minimum
Aerosol_Optical_Thickness_550_Land_Ocean_Standard_Deviation
Aerosol_Optical_Thickness_550_Land_Standard_Deviation
Aerosol_Optical_Thickness_550_Ocean_Count
Aerosol_Optical_Thickness_550_Ocean_Maximum
Aerosol_Optical_Thickness_550_Ocean_Mean
Aerosol_Optical_Thickness_550_Ocean_Minimum
Aerosol_Optical_Thickness_550_Ocean_Standard_Deviation
Aerosol_Type_Land_Ocean_Histogram
Aerosol_Type_Land_Ocean_Mode
Aerosol_Types
Angstrom_Exponent_Land_Maximum
Angstrom_Exponent_Land_Mean
Angstrom_Exponent_Land_Minimum
Angstrom_Exponent_Land_Ocean_Maximum
Angstrom_Exponent_Land_Ocean_Mean
Angstrom_Exponent_Land_Ocean_Minimum
Angstrom_Exponent_Land_Ocean_Standard_Deviation
Angstrom_Exponent_Land_Standard_Deviation
Angstrom_Exponent_Ocean_Maximum
Angstrom_Exponent_Ocean_Mean
Angstrom_Exponent_Ocean_Minimum
Angstrom_Exponent_Ocean_Standard_Deviation
Fine_Mode_Fraction_550_Ocean_Mean
Fine_Mode_Fraction_550_Ocean_Standard_Deviation
Land_Bands
Latitude
Latitude_1D
Longitude
Longitude_1D
Ocean_Bands
Spectral_Aerosol_Optical_Thickness_Land_Count
Spectral_Aerosol_Optical_Thickness_Land_Mean
Spectral_Aerosol_Optical_Thickness_Land_Standard_Deviation
Spectral_Aerosol_Optical_Thickness_Ocean_Count
Spectral_Aerosol_Optical_Thickness_Ocean_Mean
Spectral_Aerosol_Optical_Thickness_Ocean_Standard_Deviation
Unsuitable_Pixel_Fraction_Land_Ocean

Shortname:	AERDB_M3_VIIRS_SNPP
Platform:	Suomi-NPP
Instrument:	VIIRS
Processing Level:	Level-3
Data Format:	netCDF4
Spatial Resolution:	1 degree
Temporal Resolution:	monthly
ArchiveSets:	5200, 5111
Collection:	NPP and JPSS1 VIIRS data 2.0 (ArchiveSet 5200)
PGE Number:	NONE
File Naming Convention:	Syntax: ESDT.AYYYYDDD.CCC.YYYYDDDHHMMSS.Format Example: AERDB_M3_VIIRS_SNPP.A2020001.002.2022229164944.nc ESDT Earth Science Data Type or Shortname A Stands for Acquisition YYYYDDD Data acquisition year and Day-of-year per the Julian Calendar HHMM Acquisition Hour and Minute CCC Version ID of the data collection YYYYDDDHHMMSS Processing year, Day-of-year, UTC time (hour, minutes, seconds) Format File format suffix, which in the above case represents netCDF4
Keywords:	SNPP VIIRS, L3, Monthly Aggregated, Deep Blue Aerosol Optical Thickness

代码

!pip install leafmap
!pip install pandas
!pip install folium
!pip install matplotlib
!pip install mapclassify
 
import pandas as pd
import leafmap
 
url = "https://github.com/opengeos/NASA-Earth-Data/raw/main/nasa_earth_data.tsv"
df = pd.read_csv(url, sep="\t")
df
 
leafmap.nasa_data_login()
 
 
results, gdf = leafmap.nasa_data_search(
    short_name="AERDB_M3_VIIRS_SNPP",
    cloud_hosted=True,
    bounding_box=(-180.0, -90.0, 180.0, 90.0),
    temporal=("2000-01-01", "2024-04-25"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
 
 
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")