Evidence map›Paper›PMID 35132506›Full record

ArticleEnvironmental monitoring and assessment2022

Spatial modeling of soil organic carbon using remotely sensed indices and environmental field inventory variables.

Azadeh Katebikord, Seyed Hamidreza Sadeghi, Vijay P Singh

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2022. 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

3 authors.

Azadeh KatebikordDepartment of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University, 46417-76489, Noor, Iran.
Seyed Hamidreza SadeghiDepartment of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University, 46417-76489, Noor, Iran. sadeghi@modares.ac.ir.ORCID http://orcid.org/0000-0002-5419-8062
Vijay P SinghDepartment of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University, 46417-76489, Noor, Iran.

Funding

Tarbiat Modares University IG-39713
6 · The paper itself

Abstract

The relationship between soil organic carbon (SOC) and environmental parameters was investigated in the Galazchai Watershed, Iran. Therefore, correlating the SOC amounts with remote sensing (RS) indices, topographic variables, and soil texture was analyzed. Some 125 soil samples gather from the upper 30 cm, and the weight of each sample was about 0.5 kg. The RS indices, consisting of difference vegetation index (DVI), enhanced vegetation index (EVI), optimized soil adjusted vegetation index (OSAVI), normalized difference vegetation index (NDVI), and soil adjusted vegetation index (SAVI), were used. Topographic variables included slope, elevation, aspect, and topographical wetness index (TWI), as well as clay and silt contents. The ordinary least square (OLS) and the geographically weighted regression (GWR) were employed to develop the SOC relationship considering different combinations of the variables. Results showed that none of the combinations of variables accurately estimated SOC (R

Indexed as

CarbonSoilEnvironmental MonitoringLeast-Squares AnalysisSpatial RegressionCarbonSoilCarbon spatial distributionDigital soil mappingGeospatial modelingLandsat imagesRemote sensing predictorsSoil organic carbon prediction

Identifiers

PMID35132506

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.