Pulse Brain · Growing Health Evidence Index
Tier 1 — Meta-analysis / systematic reviewPeer-reviewed

Monitoring Agricultural Land Use Intensity with Remote Sensing and Traits

Angela Lausch, Jan Bumberger, András Jung, Marion Pause, Peter Selsam, Tao Zhou, Félix Herzog

Agriculture · 2025

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Summary

This comprehensive systematic review synthesises international definitions and standards of agricultural land use intensity and evaluates in situ and remote sensing methods for its monitoring. The authors introduce a novel remote sensing-based taxonomy of A-LUI indicators and propose an integrative framework connecting management practices, plant and soil traits, and remote sensing observables. The review highlights emerging technologies—including hyperspectral imaging, solar-induced fluorescence, radar, and artificial intelligence—as promising pathways to advance transparent, standardised, and globally comparable assessment of agricultural intensification.

Regional applicability

The review's international scope and synthesis of FAO, OECD, World Bank, and EUROSTAT standards position it as directly relevant to United Kingdom agricultural monitoring and policy. The framework and remote sensing taxonomy can inform UK approaches to monitoring land use intensity for regulatory compliance, agri-environment schemes, and evidence-based policy, though specific sensor validation and cultivar adaptation to UK conditions would be necessary.

Key measures

Remote sensing-derived indicators categorised as trait, genesis, structural, taxonomic, and functional indicators; remote sensing proxies for management practices and intensity signals; sensor capabilities and limitations; validation requirements

Outcomes reported

The study synthesised existing definitions and standards of agricultural land use intensity (A-LUI) across international organisations (FAO, OECD, World Bank, EUROSTAT) and evaluated both in situ and remote sensing methods for monitoring A-LUI. It developed a novel remote sensing-based taxonomy of A-LUI indicators structured into five complementary categories and proposed an integrative framework linking management practices, plant and soil traits, remote sensing observables, and policy relevance.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Systematic Review
Study design
Systematic review
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Mixed farming
DOI
10.3390/agriculture15212233
Catalogue ID
SNmonutrwo-pvdsok

Topic tags

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