ArticleScientific data2023
A twenty-year dataset of high-resolution maize distribution in China.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed, 72 citations in OpenAlex.
- Precision management of the pernicious weed Eriochloa villosa (Thunb.) Kunth in maize: an anchor-point calibration framework integrating economic thresholds and species distribution models.Pest management science · 2026Article
- A high-resolution (500 m) dataset for mapping key agronomic growth stages of maize in Northeast China.Scientific data · 2026Article
- A century-scale dataset of crop yield and agronomic trait evolution under field management in China.Scientific data · 2026Article
- A hierarchical framework for cropland and crop classification in the Qingtongxia irrigation district using support vector machine and random forest models.Scientific reports · 2026Article
- A 30-m annual distribution dataset of major crops in China from 2001-2024.Scientific data · 2026Article
- A 30 m Multi-Year Dataset of Major Crop Distributions in Xinjiang, China (2013-2024) Based on Harmonized Landsat-Sentinel-2 Data.Scientific data · 2026Article
- Global crop suitability datasets for 17 crops under present (2024) and future climate scenarios (2041-2100).Scientific data · 2026Article
- Response of Lodging Resistance and Grain Yield to EDAH and Different Fertilization Combinations in Maize (Plants (Basel, Switzerland) · 2025Article
- Genomic and Functional Analysis of Carbohydrate Esterases in the Maize PathogenMicroorganisms · 2025Article
- Article
- Mapping the harvest area of a comprehensive set of crop types in China from 1990 to 2020 at a 1-km resolution.Scientific data · 2025Article
- Maize yield estimation in Northeast China's black soil region using a deep learning model with attention mechanism and remote sensing.Scientific reports · 2025Article
- Long-term reconstructed vegetation index dataset in China from fused MODIS and Landsat data.Scientific data · 2025Article
- Annual winter wheat mapping dataset in China from 2001 to 2020.Scientific data · 2024Article
- Mining Candidate Genes for Maize Tassel Spindle Length Based on a Genome-Wide Association Analysis.Genes · 2024Article
- A 30-m gross primary production dataset from 2016 to 2020 in China.Scientific data · 2024Article
- The 500-meter long-term winter wheat grain protein content dataset for China from multi-source data.Scientific data · 2024Article
- Mapping annual 10-m soybean cropland with spatiotemporal sample migration.Scientific data · 2024Article
- Mapping annual 10-m maize cropland changes in China during 2017-2021.Scientific data · 2023Article
- A twenty-year dataset of high-resolution maize distribution in China.Scientific data · 2023Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
China is the world's second-largest maize producer, contributing 23% to global production and playing a crucial role in stabilizing the global maize supply. Therefore, accurately mapping the maize distribution in China is of great significance for regional and global food security and international cereals trade. However, it still lacks a long-term maize distribution dataset with fine spatial resolution, because the existing high spatial resolution satellite datasets suffer from data gaps caused by cloud cover, especially in humid and cloudy regions. This study aimed to produce a long-term, high-resolution maize distribution map for China (China Crop Dataset-Maize, CCD-Maize) identifying maize in 22 provinces and municipalities from 2001 to 2020. The map was produced using a high spatiotemporal resolution fused dataset and a phenology-based method called Time-Weighted Dynamic Time Warping. A validation based on 54,281 field survey samples with a 30-m resolution showed that the average user's accuracy and producer's accuracy of CCD-Maize were 77.32% and 80.98%, respectively, and the overall accuracy was 80.06% over all 22 provinces.
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