​Urban Biogenic CO2 fluxes: GPP, Reco and NEE Estimates from SMUrF, 2010-2019

简介

这个数据集记录了2010年至2019年期间，城市中生物源碳排放的GPP（总初级生产力）、Reco（总呼吸作用）以及NEE（净生态交换）的估算值。这些数据来自SMUrF项目，可以帮助研究人员了解城市生态系统中碳的动态变化情况。

摘要

Common Core

Table 1. File names and descriptions. <yyyy> and <yyyymm> represent the year and year and month of the data file, respectively. See Table 2 for a description of each <region>.

Data File Details

The no-data value is -999.

Table 2. Years of data available for each region.

Table 3. Variables included in all data files.

Table 4. Variables in files named fourday_mean_SIF_GPP_uncert_<region>_<yyyy>.nc4.

 Table 5. Variables in files named daily_mean_Reco_uncert_<region>_<yyyymm>.nc4.

Table 6. Variables in files named hrly_mean_GPP_Reco_NEE_<region>_<yyyymm>.nc4.

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="Biogenic_CO2flux_SIF_SMUrF_1899",
    cloud_hosted=True,
    bounding_box=(-125.0, -40.0, 155.0, 60.0),
    temporal=("2010-01-01", "2019-12-31"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
 
 
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")

引用

Wu, D., and J.C. Lin. 2021. Urban Biogenic CO2 fluxes: GPP, Reco and NEE Estimates from SMUrF, 2010-2019. ORNL DAAC, Oak Ridge, Tennessee, USA.

​