Arctic sea ice drift dataset(2020.Winter and Spring)

This dataset contains the Arctic sea ice drift data set in winter and spring (2020)1. This dataset obtains the near real-time Arctic sea ice drift vectors through sentinel-1 SAR image and digital image processing algorithm.2. The time range of this dataset is winter and spring in 2020, including fro...

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Bibliographic Details
Main Authors: Chaoyue Li, Qi Ju
Format: Dataset
Language:English
Published: Science Data Bank 2022
Subjects:
Online Access:https://doi.org/10.11922/sciencedb.01608
id ftsciendatabank:10.11922/sciencedb.01608
record_format openpolar
spelling ftsciendatabank:10.11922/sciencedb.01608 2023-05-15T14:50:25+02:00 Arctic sea ice drift dataset(2020.Winter and Spring) Chaoyue Li Qi Ju 2022-03-22 https://doi.org/10.11922/sciencedb.01608 en eng Science Data Bank doi:10.11922/sciencedb.01608 PUBLIC https://creativecommons.org/licenses/by/4.0/ CC-BY Arctic sea ice sea ice drift Sentinel-1 Earth science dataset 2022 ftsciendatabank https://doi.org/10.11922/sciencedb.01608 2022-03-25T01:05:43Z This dataset contains the Arctic sea ice drift data set in winter and spring (2020)1. This dataset obtains the near real-time Arctic sea ice drift vectors through sentinel-1 SAR image and digital image processing algorithm.2. The time range of this dataset is winter and spring in 2020, including from January to may, and includes all sea ice containing areas above 60 ° N.3. All dataset are divided into daily data. The single day data folder contains several CSV files, and each file contains the sea ice drift vector in a certain area.Each CSV file contains a total of six columns: start_ lat、Start_ lon、End_ lat、End_ Lon, azimuth angle, drift distance and INFO.Each row of data represents a sea ice drift vector, in which the first four columns record the starting point longitude and latitude, ending point longitude and latitude of the near real-time vectors, and the fifth column records the drift direction(degree) and drift distance (meters). The INFO column records the image number, imaging time, interval time and detailed spatial range of the CSV file. Wkt format fields.4. The daily data is contained in a folder, with about 300 CSV files per day, and the amount of data per day is 500mb-700mb5. Data storage adopts standard CSV file storage, which can be opened with Excel or any other software supporting CSV format. Dataset Arctic Sea ice Science Data Bank (ScienceDB) Arctic
institution Open Polar
collection Science Data Bank (ScienceDB)
op_collection_id ftsciendatabank
language English
topic Arctic sea ice
sea ice drift
Sentinel-1
Earth science
spellingShingle Arctic sea ice
sea ice drift
Sentinel-1
Earth science
Chaoyue Li
Qi Ju
Arctic sea ice drift dataset(2020.Winter and Spring)
topic_facet Arctic sea ice
sea ice drift
Sentinel-1
Earth science
description This dataset contains the Arctic sea ice drift data set in winter and spring (2020)1. This dataset obtains the near real-time Arctic sea ice drift vectors through sentinel-1 SAR image and digital image processing algorithm.2. The time range of this dataset is winter and spring in 2020, including from January to may, and includes all sea ice containing areas above 60 ° N.3. All dataset are divided into daily data. The single day data folder contains several CSV files, and each file contains the sea ice drift vector in a certain area.Each CSV file contains a total of six columns: start_ lat、Start_ lon、End_ lat、End_ Lon, azimuth angle, drift distance and INFO.Each row of data represents a sea ice drift vector, in which the first four columns record the starting point longitude and latitude, ending point longitude and latitude of the near real-time vectors, and the fifth column records the drift direction(degree) and drift distance (meters). The INFO column records the image number, imaging time, interval time and detailed spatial range of the CSV file. Wkt format fields.4. The daily data is contained in a folder, with about 300 CSV files per day, and the amount of data per day is 500mb-700mb5. Data storage adopts standard CSV file storage, which can be opened with Excel or any other software supporting CSV format.
format Dataset
author Chaoyue Li
Qi Ju
author_facet Chaoyue Li
Qi Ju
author_sort Chaoyue Li
title Arctic sea ice drift dataset(2020.Winter and Spring)
title_short Arctic sea ice drift dataset(2020.Winter and Spring)
title_full Arctic sea ice drift dataset(2020.Winter and Spring)
title_fullStr Arctic sea ice drift dataset(2020.Winter and Spring)
title_full_unstemmed Arctic sea ice drift dataset(2020.Winter and Spring)
title_sort arctic sea ice drift dataset(2020.winter and spring)
publisher Science Data Bank
publishDate 2022
url https://doi.org/10.11922/sciencedb.01608
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_relation doi:10.11922/sciencedb.01608
op_rights PUBLIC
https://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.11922/sciencedb.01608
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