Evidence map›Paper›PMID 41980984›Full record

ArticleScientific data2026

A 30 m winter wheat distribution dataset for the North China Plain from 2000 to 2024.

Fangjie Li, Inbal Becker-Reshef, Josef Wagner, Yuval Sadeh, Jean Rehbinder, Françoise Nerry

Abstract readDataset
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Fangjie LiICube Laboratory, UMR 7357, CNRS-University of Strasbourg, 300 bd Sebastien Brant, CS 10413, Strasbourg, F-67412, Illkirch Cedex, France. fangjie.li@etu.unistra.fr.ORCID 0009-0009-1454-8388
Inbal Becker-ReshefICube Laboratory, UMR 7357, CNRS-University of Strasbourg, 300 bd Sebastien Brant, CS 10413, Strasbourg, F-67412, Illkirch Cedex, France.ORCID 0000-0002-2160-5151
Josef WagnerICube Laboratory, UMR 7357, CNRS-University of Strasbourg, 300 bd Sebastien Brant, CS 10413, Strasbourg, F-67412, Illkirch Cedex, France.
Yuval SadehSchool of Earth, Atmosphere and Environment, Monash University, Clayton, Victoria, 3800, Australia.ORCID 0000-0002-4346-0432
Jean RehbinderICube Laboratory, UMR 7357, CNRS-University of Strasbourg, 300 bd Sebastien Brant, CS 10413, Strasbourg, F-67412, Illkirch Cedex, France.
Françoise NerryICube Laboratory, UMR 7357, CNRS-University of Strasbourg, 300 bd Sebastien Brant, CS 10413, Strasbourg, F-67412, Illkirch Cedex, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Winter wheat is a major food crop in China, with the North China Plain (NCP) serving as the primary production region and playing a critical role in national food security. However, long-term, high-resolution winter wheat maps for this region remain limited. This study presents a 30 m resolution winter wheat distribution dataset for the NCP (WheatMapNCP) from 2000 to 2024, generated by combining automated training sample generation with a random forest (RF) classifier. A stratified random sampling framework was used to estimate unbiased winter wheat area. Validation results show that the produced maps achieved an average overall accuracy (OA) of 95.98 ± 1.15%, and an average F1 score of 86.4%. The estimated planted areas show a consistent temporal trend with official statistics, and the mapped areas show strong correlation to statistics at the provincial (R² = 0.97-0.98) and municipal (R² = 0.84-0.96) levels. The dataset not only provides long-term, high-quality support for monitoring winter wheat dynamics, but also offers a reliable approach for generating timely, transparent wheat area estimates based on satellite data.

Indexed as

TriticumChinaRandom ForestSeasons

Identifiers

PMID41980984
PMCPMC13249870

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.