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 ShortnameA Stands for AcquisitionYYYYDDD Data acquisition year and Day-of-year per the Julian CalendarHHMM Acquisition Hour and MinuteCCC Version ID of the data collectionYYYYDDDHHMMSS 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 |
- 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
代码语言：javascript复制!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")数据链接
VIIRS/SNPP Deep Blue Level 3 monthly aerosol data, 1x1 degree grid - LAADS DAAC
网址推荐
0代码在线构建地图应用
https://sso.mapmost.com/#/login?source_inviter=nClSZANO
机器学习
https://www.cbedai.net/xg
