{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["12(1)"],"submitter":["Li S"],"funding":["Open Research Program of the International Research Center of Big Data for Sustainable Development Goals"],"pubmed_abstract":["Rice is a staple food for over half the global population and contributes to more than 10% of global anthropogenic methane emissions. Precise mapping of rice distribution in Asia, the primary region for rice cultivation responsible for over 60% of global production, is crucial for monitoring food security and greenhouse gas emissions. However, due to cloud cover impacts on optical remote sensing imagery, there is still a lack of long-term, high-resolution rice distribution datasets for the entire Asian region. This study develops the Global Crop Dataset-Rice (GCD-Rice) dataset to map rice cultivation across three seasons in 16 Asian countries from 1990 to 2023. Using Landsat and Sentinel-1 datasets, along with a phenological approach and a random forest model, the maps were validated with "],"journal":["Scientific data"],"pagination":["1052"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12181276"],"repository":["biostudies-literature"],"pubmed_title":["A long-term paddy rice distribution dataset in Asia at a 30 m spatial resolution."],"pmcid":["PMC12181276"],"pubmed_authors":["Jiang J","Li S","Dong J","Peng Q","Shen R","Chen X","Yuan W"],"additional_accession":[]},"is_claimable":false,"name":"A long-term paddy rice distribution dataset in Asia at a 30 m spatial resolution.","description":"Rice is a staple food for over half the global population and contributes to more than 10% of global anthropogenic methane emissions. Precise mapping of rice distribution in Asia, the primary region for rice cultivation responsible for over 60% of global production, is crucial for monitoring food security and greenhouse gas emissions. However, due to cloud cover impacts on optical remote sensing imagery, there is still a lack of long-term, high-resolution rice distribution datasets for the entire Asian region. This study develops the Global Crop Dataset-Rice (GCD-Rice) dataset to map rice cultivation across three seasons in 16 Asian countries from 1990 to 2023. Using Landsat and Sentinel-1 datasets, along with a phenological approach and a random forest model, the maps were validated with ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jun","modification":"2026-04-08T15:50:23.124Z","creation":"2026-04-08T05:29:31.035Z"},"accession":"S-EPMC12181276","cross_references":{"pubmed":["40542019"],"doi":["10.1038/s41597-025-05374-1"]}}