Related Experiment Video
Updated: Sep 28, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
Published on: October 16, 2018
Global land projection based on plant functional types with a 1-km resolution under socio-climatic scenarios
Guangzhao Chen1,2, Xia Li3, Xiaoping Liu4
1Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China.
Abstract:
This study presents a global land projection dataset with a 1-km resolution that comprises 20 land types for 2015-2100, adopting the latest IPCC coupling socioeconomic and climate change scenarios, SSP-RCP. This dataset was produced by combining the top-down land demand constraints afforded by the CMIP6 official dataset and a bottom-up spatial simulation executed via cellular automata. Based on the climate data, we further subdivided the simulation products' land types into 20 plant functional types (PFTs), which well meets the needs of climate models for input data. The results show that our global land simulation yields a satisfactory accuracy (Kappa = 0.864, OA = 0.929 and FoM = 0.102). Furthermore, our dataset well fits the latest climate research based on the SSP-RCP scenarios. Particularly, due to the advantages of fine resolution, latest scenarios and numerous land types, our dataset provides powerful data support for environmental impact assessment and climate research, including but not limited to climate models.
Related Concept Videos
Levels of Use of a GIS
Thematic Layering in GIS
Plotting of Topographic Maps
Coordinates and Map Projections
Methods of Obtaining Topography
Topographic Surveying and Contours

