ArticleScientific data2026
30 m-resolution annual crop type maps in Northeast China from 2001 to 2022.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed.
- 30 m-resolution annual crop type maps in Northeast China from 2001 to 2022.Scientific data · 2026Article
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Authors and funding
8 authors.
Funding
Abstract
Northeast China, a crucial agricultural region contributing one-third of China's commodity grain production, lacks detailed, high-resolution crop maps pre-2013 due to limited satellite observations. To bridge this gap, this study developed annual 30 m crop type maps for Northeast China (2001-2022) using all available Landsat and MODIS imagery and the Highly Scalable Temporal Adaptive Reflectance Fusion Model (HISTARFM) algorithm. The accuracy of crop-type maps was assessed using three complementary approaches. First, validation against ground-truth data (2017-2022) yielded overall accuracies of 80.7%-91%. Second, validation using 'trusted pixels' from existing crop-mapping products (2001-2020) produced overall accuracies of 85%-95%. Third, comparison with government statistics (2001-2022) showed average R
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