Near real-time monitoring of global land-ocean cover dynamics

View Dataset
Wang, Lixing;Li, Tao;DOU, XINYU;Liu, Zhu

Description

This dataset is generated through the near real-time global land-ocean cover dynamic monitoring framework built by Google Earth Engine and Colab Python coding environment. From January 1st, 2018, the time resolution is 5 days. Contains the following files:Global.csv — contains the area percentage of 9 land cover types and global sea ice cover[single country].csv — contains area percentage of 9 land cover types of the countryForested & Polar.csv — contains time series change data of global forest and sea ice cover indicators, which is used to assess the safe status of the Earth systemPercentages are saved as decimals for all files.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Management, Monitoring, Policy and Law

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

39%

Source

Scholar Data Model

Keywords

Remote sensingLand use land coverEarth system science

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00