Journal of Remote Sensing / 2021 / Article / Tab 1

Review Article

Finer-Resolution Mapping of Global Land Cover: Recent Developments, Consistency Analysis, and Prospects

Table 1

Main parameters of the current three global 30 m land-cover products.

Map namePeriodSatellite sensorsMethodLiterature

GlobeLand302000, 2010Landsat TM/ETM+, HJ-1The classification of 10 land-cover types is carried out using a split-and-merge strategy. Robust integration of pixel- and object-based classification is applied to classify each land-cover type; finally, a knowledge-based interactive verification procedure is applied to improve the mapping accuracy.
Dataset link: http://www.globallandcover.com/GLC30Down-load/index.aspx
Chen et al. [14]
FROM_GLC2015, 2017Landsat TM, ETM+, OLIMultitemporal Landsat imagery is used together with 91,433 high-confidence training samples (visual interpretation) and a random forest classifier to produce the land-cover maps.
Dataset link: http://data.ess.tsinghua.edu.cn/fromglc2015_v1.html
Gong et al. [12]
GLC_FCS302015, 2020Landsat OLICombining time series of Landsat imagery and high-quality training data from GSPECLib (Global Spatial Temporal Spectral Library), local adaptive random forest models are applied to each geographical grid element to produce the land-cover maps.
Dataset link: https://zenodo.org/record/3986872, https://zenodo.org/record/4280923
Zhang et al. [16]