Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

High-resolution 3D soil texture mapping in Denmark using satellite time series and bare soil composites

Anders Bjørn Møller, Lotte Nyborg, Kenneth Grogan, Daniel Druce, Simon Fiil Svane, Mette Balslev Greve, Sebastian Gutierrez, Merete Styczen, Mogens H. Greve, Leif Knudsen, Amélie Beucher

Advances in agronomy · 2025

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Summary

Møller et al. (2025) present a methodological advance in remote sensing-based soil characterisation, integrating satellite time series with bare soil composite products to map soil texture across Denmark at high spatial resolution. The work combines Earth observation data with ground validation to demonstrate the feasibility of national-scale soil property assessment via remote sensing. As suggested by the journal scope and methodology, this approach has potential applications to precision agriculture and soil monitoring programmes, though the paper's primary contribution appears methodological rather than demonstrating direct agronomic or health outcomes.

UK applicability

The methodology is potentially transferable to UK soil mapping programmes, given similar temperate climate and satellite data availability. UK soil surveys could adopt comparable remote sensing protocols to enhance spatial resolution of soil texture mapping at national or regional scale, complementing existing ground-based surveys.

Key measures

Soil texture classes derived from satellite remote sensing; spatial resolution of texture mapping; accuracy metrics against ground-truthed soil samples

Outcomes reported

The study demonstrated feasibility of mapping soil texture across Denmark at high spatial resolution by integrating satellite time series and bare soil composite products with ground validation data. The approach enables national-scale soil property assessment via Earth observation techniques.

Theme
Measurement & metrics
Subject
Soil health assessment & monitoring
Study type
Research
Study design
Methodological study with field validation
Source type
Peer-reviewed study
Status
Published
Geography
Denmark
System type
Other
DOI
10.1016/bs.agron.2025.07.001
Catalogue ID
SNmov0g4z1-3joey8

Topic tags

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