The Greenhouse Gas Emissions from Biomass Fires – Burned Area" is one of the 22 Science Dataset (SDS) layers, this layer shows the spatial distribution of burned area for each land cover types, at a resolution of 500 meters. The yearly data are available from 2001 to 2021 and are updated annually. For more detail, please visit the following report: IPCC 2006, 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Prepared by the National Greenhouse Gas Inventories Programme, Eggleston H.S., Buendia L., Miwa K., Ngara T. and Tanabe K. (eds). Published: IGES, Japan. pp 2.40-2.49.

The Greenhouse Gas Emissions from Biomass Fires – Tropical Forest Burned Biomass" is one of the 22 Science Dataset (SDS) layers, this layer shows the burned biomass of Tropical Forest, at a resolution of 500 meters. The yearly data are available from 2001 to 2021 and are updated annually. For more detail, please visit the following report: IPCC 2006, 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Prepared by the National Greenhouse Gas Inventories Programme, Eggleston H.S., Buendia L., Miwa K., Ngara T. and Tanabe K. (eds). Published: IGES, Japan. pp 2.40-2.49.

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/