​LBA-ECO CD-06 Biogeochemistry of Ji-Parana River and Tributaries, Brazil: 1999-2003

简介

本数据集提供了巴西朗多尼亚州西亚马逊地区吉-巴拉那河流域河流生物地球化学的空间广泛性和时间密集性调查结果。我们以规定的季节或月间隔测量了吉-巴拉那河及其支流样本中主要营养离子、溶解有机碳和无机碳的浓度、pH 值、温度、溶解氧和电导率。根据河流流域和子流域的特征，每个广泛的采样点都包含了主要土地利用/土地覆盖类型、坡度和土壤阳离子交换容量。

1999 年至 2003 年，研究人员沿吉巴拉那河主干流以及乌鲁帕河等主要支流采集了水样。研究数据中包含了研究区域主要子流域边界以及样品采集点位置的 Shape 文件，涵盖了密集采样、广泛采样以及乌鲁帕河采样活动。

该数据集有六个逗号分隔的数据文件（.csv）和五个压缩的 shapefile（.zip）。

摘要

File #1: Ji_Parana_Intensive_bgc.csv

Sampling dates: 1999-05 to 2002-04 (no sampling day provided).

File #2: Ji_Parana_Org_matter_chemistry.csv

Sampling dates: 1999-05 to 2001-05 (no sampling day provided).

File #3: Extensive_sites_bgc_wet_season.csv

No sampling dates provided.

File #4: Extensive_sites_bgc_dry_season.csv

Sampling dates: 2001-07-02 to 2001-07-19  

File #5: Urupa_bgc.csv 

Sampling dates: 2001-11-06 to 203-05-20. Samples were collected along the Urupa River between the cities of Ji-Parana and Urupá, Urupa River at Urupa, Urupa River upstream of Urupa, and the Urupa River at Mirante da Serra. There were also two additional samplng sites however the coordinates for those sites were not provided.

File #6: Ji_Parana_Extensive_landcover_soils.csv

No sampling dates were provided for these data.

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="CD06_BGC_JiParana_1227",
    cloud_hosted=True,
    bounding_box=(-63.42, -12.93, -60.01, -8.03),
    temporal=("1999-05-24", "2003-05-20"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
 
 
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")

引用

Richey, J.E., A.V. Krusche, R.L. Victoria, M.V.R. Ballester, N.K. Leite, B.M. Gomes, M. Bolson, S.G. Neto, and A.A. Montebelo. 2014. LBA-ECO CD-06 Biogeochemistry of Ji-Parana River and Tributaries, Brazil: 1999-2003. Data set. Available on-line (http://daac.ornl.gov) from ORNL DAAC, Oak Ridge, Tennessee, USA.

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