ArticleScientific data2025
High-resolution (10 m) dataset of multi-crop planting structure on the Loess Plateau during 2018-2022.
Article in Scientific data, 2025. 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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1 citing paper in PubMed.
- High-resolution (10 m) dataset of multi-crop planting structure on the Loess Plateau during 2018-2022.Scientific data · 2025Article
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7 authors.
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Abstract
Accurate and timely information on planting intensity and crop rotation is essential for guiding agricultural policies and ensuring food security. However, reliable and up-to-date maps for major crops-wheat, maize, rapeseed, soybean, and potatoes-are lacking in the Loess Plateau, a key grain-producing region in western China. To address this gap, this study aims to generate a high-resolution (10 m) crop planting pattern dataset for the Loess Plateau from 2018 to 2022. The research methodology involved four key steps: (1) Enhancing the sample dataset using phenological indices and the Dynamic Time Warping (DTW) algorithm; (2) Identifying crop planting intensity based on phenological growth curves; (3) Developing independent random forest classifiers tailored to agricultural climate zones; and (4) Constructing an optimal feature subset for crop classification. The resulting maps demonstrated high overall accuracies (OA) is greater than 0.81, with satellite-based estimates showing strong agreement with municipal statistical data (R
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