ArticleScientific data2024
CARM30: China annual rapeseed maps at 30 m spatial resolution from 2000 to 2022 using multi-source data.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- A 30 m winter wheat distribution dataset for the North China Plain from 2000 to 2024.Scientific data · 2026Article
- Remodeling of bacterial nitrilase active pocket improves the capability to degrade glucosinolate-derived nitriles.World journal of microbiology & biotechnology · 2025Article
- CARM30: China annual rapeseed maps at 30 m spatial resolution from 2000 to 2022 using multi-source data.Scientific data · 2024Article
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Authors and funding
8 authors.
Funding
Abstract
Rapeseed is a critical cash crop globally, and understanding its distribution can assist in refined agricultural management, ensuring a sustainable vegetable oil supply, and informing government decisions. China is the leading consumer and third-largest producer of rapeseed. However, there is a lack of widely available, long-term, and large-scale remotely sensed maps on rapeseed cultivation in China. Here this study utilizes multi-source data such as satellite images, GLDAS environmental variables, land cover maps, and terrain data to create the China annual rapeseed maps at 30 m spatial resolution from 2000 to 2022 (CARM30). Our product was validated using independent samples and showed average F1 scores of 0.869 and 0.971 for winter and spring rapeseed. The CARM30 has high spatial consistency with existing 10 m and 20 m rapeseed maps. Additionally, the CARM30-derived rapeseed planted area was significantly correlated with agricultural statistics (R
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