Mapping Soil Organic Carbon by Integrating Time-Series Sentinel-2 Data, Environmental Covariates and Multiple Ensemble Models.

Zhibo Cui, Songchao Chen, Bifeng Hu, Nan Wang, Chunhui Feng, Jie Peng

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zhibo CuiCollege of Agriculture, Tarim University, Alar 843300, China.

Songchao ChenZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, China.ORCID 0000-0003-1245-0482

Bifeng HuDepartment of Land Resource Management, Jiangxi University of Finance and Economics, Nanchang 330013, China.ORCID 0000-0001-9353-0307

Nan WangDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China.

Chunhui FengCollege of Horticulture and Forestry, Tarim University, Alar 843300, China.ORCID 0000-0002-9969-1934

Jie PengCollege of Agriculture, Tarim University, Alar 843300, China.

Funding

the Jiangxi "Double Thousand plan" jxsq202301091the National Natural Science Foundation of China 42201054the National Natural Science Foundation of China 42201073the Tarim University President's Fund TDZKCX202205the Tarim University President's Fund TDZKSS202227

6 · The paper itself

Abstract

Despite extensive use of Sentinel-2 (S-2) data for mapping soil organic carbon (SOC), how to fully mine the potential of time-series S-2 data still remains unclear. To fill this gap, this study introduced an innovative approach for mining time-series data. Using 200 top soil organic carbon samples as an example, we revealed temporal variation patterns in the correlation between SOC and time-series S-2 data and subsequently identified the optimal monitoring time window for SOC. The integration of environmental covariates with multiple ensemble models enabled precise mapping of SOC in the arid region of southern Xinjiang, China (6109 km

Indexed as

ensemble modelSentinel-2soil organic carbontextural information

Identifiers

PMID40218697

DOI10.3390/s25072184

PMCPMC11991386

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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.