five

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

收藏
www.doi.org2022-03-22 更新2025-03-25 收录
下载链接:
https://www.doi.org/10.11922/sciencedb.01608
下载链接
链接失效反馈
官方服务:
资源简介:
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.

本数据集囊括了2020年冬季与春季的北极海冰漂移数据集。该数据集通过哨兵-1 SAR影像与数字图像处理算法,获取了近实时的北极海冰漂移矢量。时间范围为2020年冬季至春季,涵盖一月至五月,并包括所有位于60°N以上的海冰覆盖区域。所有数据集均按日划分,单个数据日文件夹包含多个CSV文件,每个文件记录特定区域的海冰漂移矢量。每个CSV文件包含六列数据:起始纬度(start_lat)、起始经度(Start_lon)、结束纬度(End_lat)、结束经度(End_Lon)、方位角、漂移距离及INFO。每行数据代表一个海冰漂移矢量,其中前四列记录近实时矢量的起始点经纬度和终点经纬度,第五列记录漂移方向(度)及漂移距离(米)。INFO列记录图像编号、成像时间、时间间隔及CSV文件的详细空间范围,以Wkt格式存储。每日数据存放在一个文件夹中,每日大约包含300个CSV文件,每日数据量约为500MB至700MB。数据存储采用标准的CSV文件格式,可使用Excel或其他支持CSV格式的软件打开。
提供机构:
www.doi.org
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作