GCI present an annual dynamic global cropping intensity dataset covering the period from 2001 to 2019 at a 250-m resolution with an average overall accuracy of 89%. We used the enhanced vegetation index (EVI) of MOD13Q1 as the database via a sixth-order polynomial function to calculate the cropping intensity. The global cropping intensity dataset was packaged in the GeoTIFF file type, with the quality control band in the same format. The dataset fills the vacancy of medium-resolution, global-scale annual cropping intensity data and provides an improved map for further global yield estimations and food security analyses. GCI and GCI_QC maps at a 250-m resolution were provided for the entire world from 2001 to 2019. The datasets and their validation samples are available at the figshare repository in GeoTIFF format and provided in the GCS_WGS_1984 spatial reference system. The global cropping intensity maps contain values of 0, 1, 2 and 3, representing none, single, double, and triple cropping, respectively. The QC band maps also contain values of 0, 1, 2 and 3, representing best, good, fair, and poor pixels, respectively. The dataset extends from 70° N to 60° S latitude and from 180° W to 180° E longitude, excluding Greenland and Antarctica. The maps can be visualized and analysed in ArcGIS, QGIS, or similar software.

Global land cover data are key sources of information for understanding the complex interactions between human activities and global change. FROM-GLC (Finer Resolution Observation and Monitoring of Global Land Cover) is the first 30 m resolution global land cover maps produced using Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data. Our long-term goal in FROM-GLC is to develop a multiple stage approach to mapping global land cover so that the results can better meet the needs of land process modeling and can be easily cross-walked to existing global land cover classification schemes.

GCI present an annual dynamic global cropping intensity dataset covering the period from 2001 to 2019 at a 250-m resolution with an average overall accuracy of 89%. We used the enhanced vegetation index (EVI) of MOD13Q1 as the database via a sixth-order polynomial function to calculate the cropping intensity. The global cropping intensity dataset was packaged in the GeoTIFF file type, with the quality control band in the same format. The dataset fills the vacancy of medium-resolution, global-scale annual cropping intensity data and provides an improved map for further global yield estimations and food security analyses. GCI and GCI_QC maps at a 250-m resolution were provided for the entire world from 2001 to 2019. The datasets and their validation samples are available at the figshare repository in GeoTIFF format and provided in the GCS_WGS_1984 spatial reference system. The global cropping intensity maps contain values of 0, 1, 2 and 3, representing none, single, double, and triple cropping, respectively. The QC band maps also contain values of 0, 1, 2 and 3, representing best, good, fair, and poor pixels, respectively. The dataset extends from 70° N to 60° S latitude and from 180° W to 180° E longitude, excluding Greenland and Antarctica. The maps can be visualized and analysed in ArcGIS, QGIS, or similar software.

Open and synergistic global land cover present a global land cover dataset which is available every 5 year from 1990 to 2020. The overall accuracies of land cover maps were around 75% and the accuracy for change detection was over 70%. This product also showed good similarity with the FAO and existing land cover maps. Multiple datasets were used in this study, including the FROM-GLC global land cover map in 2017, which was the most up to date and accurate land cover map among the three FROM-GLC maps in 2010, 2015 and 2017. Landsat surface reflectance dataset, The Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM), ESA-CCI and three recent single-type land cover datasets. Open and synergistic land cover maps were provided for the entire world from 1990 to 2020 every 5 years. The global land cover map contains values of 1 to 10, representing cropland, forest, grassland, shrubland, wetland, water, tundra, impervious surface, bareland and ice&snow, respectively. The dataset extends from 90° N to 60° S latitude and from 180° W to 180° E longitude. The dataset can be visualized and analysed directly through Google Earth Engine (GEE) cloud computing platform and it could also be exported to local equipment through GEE.

This dataset is a China terrace map at 30 m resolution in 2018. It was developed through supervised pixel-based classification using multisource and multi-temporal data based on the Google Earth Engine platform. The overall accuracy and kappa coefficient achieved 94% and 0.72, respectively. The first 30 m China terrace map will be valuable for studies on soil erosion, food security, biogeochemical cycle, biodiversity, and ecosystem service assessments. Detailed dataset description can be found at: https://essd.copernicus.org/articles/13/2437/2021/