Evidence map›Paper›PMID 40384993›Full record

ArticleHardwareX2025

A portable soil surface roughness instrument for automatic two-dimensional profile roughness measurement in the field.

Gang Sun, Xiu Wang, Shuai Gao, Jinmei Pan, Qinhuo Liu, Wenjiang Huang

Abstract read
In one paragraph

Article in HardwareX, 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.

Gang SunState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.
Xiu WangIntelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Shuai GaoState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.
Jinmei PanState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.
Qinhuo LiuState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.
Wenjiang HuangState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil surface roughness, characterized by the unevenness of the soil surface, is a critical parameter influencing radar backscatter coefficients and microwave emissivity, and is essential for applications in agriculture, soil science, climate modeling, and geology. Current roughness measurement methods, such as manual pin meters and photogrammetry, face limitations in field portability, automation, and cost efficiency. To overcome these challenges, this study introduces a novel, portable instrument utilizing automated two-dimensional rotary laser scanning to quantify surface roughness. The device's innovative design integrates a tripod-mounted laser scanner that generates 1 cm-resolution horizontal profiles by calculating surface heights from rotation angles and distances, eliminating manual intervention and enabling rapid field deployment. Compared to traditional contact methods or LiDAR systems, the instrument achieves comparable accuracy (R2 = 0.97 vs. pin meters) while offering significant advantages in portability (<5 kg total weight), automation (full-profile measurement in < 30 s), and affordability (estimated cost <$2,705). Field experiments validated its ability to compute roughness parameters (RMS height, correlation length) critical for microwave remote sensing and soil erosion modeling. By bridging the gap between laboratory-grade precision and field practicality, this instrument provides researchers and agronomists with a cost-effective tool to advance microwave remote sensing, precision agriculture, climate forecasting, and soil conservation efforts.

Indexed as

InstrumentLaser rangefinderPin meterRadar remote sensingRelevant lengthSoil surface roughness

Identifiers

PMID40384993
PMCPMC12083912

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.