10.5281/zenodo.3986872
https://zenodo.org/records/3986872
oai:zenodo.org:3986872
Liangyun,Liu
Liu
Liangyun
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
Xiao,Zhang
Zhang
Xiao
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
Xidong,Chen
Chen
Xidong
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
Yuan,Gao
Gao
Yuan
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
Jun,Mi
Mi
Jun
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
GLC_FCS30: Global land-cover product with fine classification system at 30 m using time-series Landsat imagery
Zenodo
2020
GLC_FCS30; global land cover; fine classification system; Landsat; Google Earth Engine
2020-08-16
eng
10.5281/zenodo.3986871
v1
Creative Commons Attribution 4.0 International
A novel global 30-m land-cover product with a fine classification system for the year 2015 (GLC_FCS30-2015). The product was produced by combining time-series of Landsat imagery and high-quality training data from the GSPECLib (Global Spatial Temporal Spectra Library) on the Google Earth Engine computing platform. First, the global training data from the GSPECLib were developed by applying a series of rigorous filters to the MCD43A4 NBAR and CCI_LC land-cover products. Secondly, a local adaptive random forest model was built for each 5°×5° geographical tile by using the multi-temporal Landsat spectral and textures features of the corresponding training data, and the GLC_FCS30-2015 land-cover product containing 30 land-cover types was generated for each tile.