CARVE: L1 Spectral Radiances from Airborne FTS, Alaska, 2012-2015

简介

该数据集包含一级光谱辐射数据，这些数据是在北极水库碳脆弱性实验（CARVE）的阿拉斯加和加拿大北极地区空中飞行期间使用傅里叶变换光谱仪 (FTS) 收集的。飞行飞行于 2012 年至 2015 年 3 月至 11 月期间进行，旨在研究大气气体含量的季节和年际变化。该数据集中包含的测量数据对于理解北极碳循环的变化以及北极永久冻土融化带来的潜在威胁至关重要。

摘要

Table 1. CARVE file naming convention. Example file name: carve_FTS_L1_b23_20120511_160419_20150915171127.nc

Data variables

Each file contains four variable groups: aviation_housekeeping, geolocation, measurement_ancillary_info, and science_measurement. The variables contained within each variable group are described in Tables 2 to 5.

Table 2. aviation_housekeeping group in the NetCDF files

Table 3. geolocation group in the NetCDF files

Table 4. measurement_ancillary_info group in the NetCDF files

* instrument_mode: 0 --- Off; 1 --- Science; 2 --- Calibration; 3 --- Unknown

** sweep_direction: 0 --- Forward; 1 --- Reverse; 2 --- Both

Table 5. science_measurement group in the NetCDF files

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"
df = pd.read_csv(url, sep="\t")
df
 
leafmap.nasa_data_login()
 
 
results, gdf = leafmap.nasa_data_search(
    short_name="CARVE_L1_FTS_Spectra_1426",
    cloud_hosted=True,
    bounding_box=(-168.11, 58.84, -131.75, 71.43),
    temporal=("2012-05-23", "2015-11-13"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
 
 
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")

引用

Kurosu, T.P., C.E. Miller, S.J. Dinardo, and CARVE Science Team . 2017. CARVE: L1 Spectral Radiances from Airborne FTS, Alaska, 2012-2015. ORNL DAAC, Oak Ridge, Tennessee, USA. 

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