Smart Net-Zero

Xie H, Li J, Li T, Lu X, Hu Q, Qin Z | Source | Download |

GloRice (v1.0) is a high-resolution global dataset mapping paddy rice harvested and physical areas from 1961 to 2021 at a 5-arcminute resolution. Developed by researchers from Sun Yat-sen University and the Chinese Academy of Sciences, it provides long-term data on rice-related variables for global modeling and estimation, including rice distribution, multiple cropping systems, water regimes, and residue treatment, capturing global and regional cultivation trends. The dataset integrates national and subnational statistics with established datasets (M3, SPAM, GAEZ) to generate annual rice distribution maps. It consists of three key components: (1) GloRice-2000hvst, a reference for the year 2000; (2) GloRice-hvst, annual harvested area maps; and (3) GloRice-phsc, annual physical area maps based on multiple cropping index data. Validation demonstrates strong accuracy at global, regional, and subnational levels, particularly for China, South Asia, and Southeast Asia. GloRice supports research in agriculture, climate modeling, and environmental sustainability, offering a valuable tool for assessing global rice production trends.