GLC_FCS30: global land-cover product with fine classification system at 30&thinsp;m using time-series  Landsat imagery

Zhang, Xiao; Liu, Liangyun; Chen, Xidong; Gao, Yuan; Xie, Shuai; Mi, Jun

doi:https://doi.org/10.5194/essd-13-2753-2021

Articles | Volume 13, issue 6

https://doi.org/10.5194/essd-13-2753-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-13-2753-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 6

Data description paper

|

15 Jun 2021

Data description paper |

| 15 Jun 2021

GLC_FCS30: global land-cover product with fine classification system at 30 m using time-series Landsat imagery

Xiao Zhang, Liangyun Liu, Xidong Chen, Yuan Gao, Shuai Xie, and Jun Mi

Data sets

GLC_FCS30: Global land-cover product with fine classification system at 30 m using time-series Landsat imagery Liu Liangyun, Zhang Xiao, Chen Xidong, Gao Yuan, and Mi Jun https://doi.org/10.5281/zenodo.3986872

A Dataset of Global Land Cover Validation Samples Liu Liangyun, Gao Yuan, Zhang Xiao, Chen Xidong, and Xie Shuai https://doi.org/10.5281/zenodo.3551994

Short summary

Over past decades, a lot of global land-cover products have been released; however, these still lack a global land-cover map with a fine classification system and spatial resolution simultaneously. In this study, a novel global 30 m landcover classification with a fine classification system for the year 2015 (GLC_FCS30-2015) was produced by combining time series of Landsat imagery and high-quality training data from the GSPECLib on the Google Earth Engine computing platform.