Evidence map›Paper›PMID 39333510›Full record

ArticleScientific data2024

Mapping 10-m harvested area in the major winter wheat-producing regions of China from 2018 to 2022.

Jinkang Hu, Bing Zhang, Dailiang Peng, Jianxi Huang, Wenjuan Zhang, Bin Zhao, Yong Li, Enhui Cheng, Zihang Lou, Shengwei Liu and 3 more

Abstract read
In one paragraph

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

13 authors.

Jinkang HuKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Bing ZhangKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China. zhangbing@aircas.ac.cn.ORCID http://orcid.org/0000-0003-0319-7753
Dailiang PengKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China. pengdl@aircas.ac.cn.
Jianxi HuangCollege of Land Science and Technology, China Agricultural University, Beijing, 100083, China.ORCID http://orcid.org/0000-0003-0341-1983
Wenjuan ZhangAirborne Remote Sensing Center, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Bin ZhaoSchool of Information Science and Engineering, Shandong Agricultural University, Taian, 271018, China.
Yong LiNational Key Laboratory of Wheat Improvement and College of Agronomy, Shandong Agricultural University, Taian, 271018, China.
Enhui ChengKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Zihang LouKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Shengwei LiuJiangxi Nuclear Industry Surveying and Mapping Institute Group Co., Ltd, Nanchang, 330038, China.
Songlin YangKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Yunlong TanSchool of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454000, Henan, China.
Yulong LvKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42030111
6 · The paper itself

Abstract

Winter wheat constitutes approximately 20% of China's total cereal production. However, calculations of total production based on multiplying the planted area by the yield have tended to produce overestimates. In this study, we generated sample points from existing winter wheat maps and obtained samples for different years using a temporal migration method. Random forest classifiers were then constructed using optimized features extracted from spectral and phenological characteristics and elevation information. Maps of the harvested and planted areas of winter wheat in Chinese eight provinces from 2018 to 2022 were then produced. The resulting maps of the harvested areas achieved an overall accuracy of 95.06% verified by the sample points, and the correlation coefficient between the CROPGRIDS dataset is about 0.77. The harvested area was found to be about 13% smaller than the planted area, which can primarily be attributed to meteorological hazards. This study represents the first attempt to map the winter wheat harvested area at 10-m resolution in China, and it should improve the accuracy of yield estimation.

Identifiers

PMID39333510
PMCPMC11437146

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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.