探秘土耳其研究船“Bilim”号：海洋测量数据揭示生态奥秘

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发布于 2025-02-22 20:13:08

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代码可运行

文章被收录于专栏：GEE数据专栏，GEE学习专栏，GEE错误集等专栏GEE数据专栏，GEE学习专栏，GEE错误集等专栏

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简介

数据集包含了土耳其研究船“Bilim”号船上进行的各种测量数据。这些数据涉及海洋学、气象学、生物学等各个领域，旨在帮助研究人员更好地了解海洋环境和生态系统。数据集包括海洋温度、盐度、氧气含量、风速、海洋生物种类等各种信息。这些数据对于研究海洋环境的变化、生物多样性以及气象现象等具有重要的参考价值。

摘要

Additional Metadata

Resource Type	Dataset
Metadata Created Date	November 12, 2020
Metadata Updated Date	December 6, 2023
Publisher	NASA/GSFC/SED/ESD/GCDC/OB.DAAC
Maintainer	undefined
Identifier	C1633360156-OB_DAAC
Data First Published	1999-10-06
Language	en-US
Data Last Modified	2023-04-06
Category	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	Archived by National Aeronautics and Space Administration, U.S. Government, NASA/GSFC/SED/ESD/GCDC/OB.DAAC. https://doi.org/10.5067/SeaBASS/BILIM/DATA001.
Harvest Object Id	30f101bb-185f-4089-b5ef-8e1556906dac
Harvest Source Id	58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title	NASA Data.json
Homepage URL	https://doi.org/10.5067/SeaBASS/BILIM/DATA001
Metadata Type	geospatial
Old Spatial	-180.0 -90.0 180.0 90.0
Program Code	026:001
Source Datajson Identifier	True
Source Hash	bc63d1803ff9a0cce9bb183ee1438b7d1439ad2d2868979c345858b625b8b68b
Source Schema Version	1.1
Spatial
Temporal	1999-10-06T00:00:02Z/2023-04-17T00:00:00Z
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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="BILIM",
    cloud_hosted=True,
    bounding_box=(-180.0, -90.0, 180.0, 90.0),
    temporal=("1999-10-06", "2000-08-08"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
 
 
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")

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原始发表：2025-02-21，如有侵权请联系 cloudcommunity@tencent.com 删除

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