红外成像辐射计套件(VIIRS)日/夜波段(DNB)夜间灯光(NTL)产品

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此星光明 发表于 2024/06/01 17:54:59 2024/06/01
【摘要】 ​ Annual Summary of Artificial Light At Night from VIIRS/S-NPP at CONUS County and Census Tract V1 (ALAN_VIIRS_CONUS) at GES DISCGES DISC 上 VIIRS/S-NPP 在 CONUS 郡和人口普查区 V1(ALAN_VIIRS_CONUS)的夜间人工光照年度...

 Annual Summary of Artificial Light At Night from VIIRS/S-NPP at CONUS County and Census Tract V1 (ALAN_VIIRS_CONUS) at GES DISC

GES DISC 上 VIIRS/S-NPP 在 CONUS 郡和人口普查区 V1(ALAN_VIIRS_CONUS)的夜间人工光照年度数据

简介

该产品提供有关夜间人造光(ALAN)卫星数据的详细信息。美国国家航空航天局黑大理石套件中的苏米国家极轨伙伴关系(S-NPP)可见红外成像辐射计套件(VIIRS)日/夜波段(DNB)夜间灯光(NTL)产品(VNP46A4,DOI:10.5067/VIIRS/VNP46A4.001)被用于得出2012-2020年期间美国全国县级和区级ALAN水平的年度摘要。首席研究员钱晓博士是美国国家航空航天局(NASA)健康与空气质量应用科学团队(HAQAST)的成员。

Resource Type Dataset
Metadata Created Date April 27, 2023
Metadata Updated Date December 7, 2023
Publisher NASA/GSFC/SED/ESD/GCDC/GESDISC
Maintainer

Qian Xiao

Identifier C2650219940-GES_DISC
Data First Published 2023-02-16
Language en-US
Data Last Modified 2023-02-16
Category HAQAST, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation Qian Xiao, Jun Wang, Cici Bauer, Meng Zhou, Yue Lyu, Jiachen Lu, and Kehe Zhang . 2023-03-01. ALAN_VIIRS_CONUS. Version 1. Annual Summary of Artificial Light At Night from VIIRS/S-NPP at CONUS County and Census Tract. NASA Goddard Space Flight Center. Archived by National Aeronautics and Space Administration, U.S. Government, Goddard Earth Sciences Data and Information Services Center (GES DISC). https://doi.org/10.5067/TZY5MHFMYLKQ. https://disc.gsfc.nasa.gov/datacollection/ALAN_VIIRS_CONUS_1.html. Digital Science Data.
Creator Qian Xiao, Jun Wang, Cici Bauer, Meng Zhou, Yue Lyu, Jiachen Lu, and Kehe Zhang
Data Presentation Form Digital Science Data
Graphic Preview File https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/ALAN_VIIRS_CONUS_1.png
Harvest Object Id e5b5c641-18af-44e8-ae29-41283b97df3e
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.5067/TZY5MHFMYLKQ
Metadata Type geospatial
Old Spatial -129.9979 20.00208 -60.00208 49.99792
Program Code 026:001
Release Place NASA Goddard Space Flight Center
Series Name ALAN_VIIRS_CONUS
Source Datajson Identifier True
Source Hash 4272ee307ee55cea276f2e7d637b5fb6c2ca3bb172b48c0fd52ac9c9ac1645f3
Source Schema Version 1.1
Spatial
Temporal 2012-01-01T00:00:00Z/2020-12-31T23:59:59Z

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="ALAN_VIIRS_CONUS",
    cloud_hosted=True,
    bounding_box=(-129.9979, 20.00208, -60.00208, 49.99792),
    temporal=("2017-07-20", "2017-08-08"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
 
 
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")

引用

License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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