Evidence map›Paper›PMID 37558712›Full record

ArticleScientific reports2023

Accuracy assessment of land cover products in China from 2000 to 2020.

Zhiwen Li, Xingyu Chen, Jie Qi, Chong Xu, Jiafu An, Jiandong Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2023. 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.

Zhiwen LiSchool of Economics and Management, Southwest Petroleum University, Chengdu, 610500, Sichuan, People's Republic of China.
Xingyu ChenSchool of Public Administration, Southwestern University of Finance and Economics, Chengdu, 611130, Sichuan, People's Republic of China.
Jie QiSchool of Public Administration, Southwestern University of Finance and Economics, Chengdu, 611130, Sichuan, People's Republic of China.
Chong XuSchool of Public Administration, Southwestern University of Finance and Economics, Chengdu, 611130, Sichuan, People's Republic of China.
Jiafu AnDepartment of Finance and Insurance Faculty of Business, Lingnan University, Tunmen, 999077, Hong Kong, People's Republic of China.
Jiandong ChenSchool of Public Administration, Southwestern University of Finance and Economics, Chengdu, 611130, Sichuan, People's Republic of China. jchen@swufe.edu.cn.

Funding

the Key Program of the National Natural Science Foundation of China 71934001the Key Program of the National Social Science Foundation of China 21ATJ008the National Key Research and Development Program of China 2016YFA0602500the National Natural Science Foundation of China 41771568the National Natural Science Foundation of China 71471001the National Natural Science Foundation of China 71533004the National Natural Science Foundation of China 71934001the Strategic Priority Research Program of Chinese Academy of Sciences XDA23070400
6 · The paper itself

Abstract

The accuracy assessment of land cover data is of significant value to accurately monitor and objectively reproduce spatio-temporal dynamic changes to land surface landscapes. In this study, the interpretation and applicability of CCI, MCD, and CGLS long time-series land cover data products for China were evaluated via consistency analysis and a confusion matrix system using NLUD-C periodic products as reference data. The results showed that CGLS had the highest overall accuracy, Kappa coefficient, and area consistency in the continuous time-series evaluation, followed by MCD, whereas CCI had the worst performance. For the accuracy assessment of subdivided land cover types, the three products could accurately describe the distribution of forest land in China with a high recognition level, but their recognition ability for water body and construction land was poor. Among the other types, CCI could better identify cropland, MCD for grassland, and CGLS for unused land. Based on these evaluation results and characteristics of the data products, we developed suitable selection schemes for users with different requirements.

Identifiers

PMID37558712
PMCPMC10412600

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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.