Measurements & outputs
Measurements and outputs
- Satellite-derived vegetation and moisture indicators.
- Crop-specific yield estimates linked to mapped household fields.
Research workflow
Research workflow
Combine Sentinel-2 time series and rainfall data with field boundaries, crop types and measured yields.
Fit and evaluate crop-yield models, then examine their usefulness for nutrition and health research.
Interpretation & current limits
Interpretation and limitations
- Model estimates depend on training data, crop type, cloud conditions and spatial or temporal transferability.
- A crop-yield model measures an intermediate pathway. It does not establish a causal effect on health by itself.
Documented applications & research context
Applications and research context
Projects
Research settings
Publications & evidence
Related publications
Read the study-specific methods, results and limitations. The framework paper describes the wider approach.
2023Related research evidenceRemote sensing
Schwarz et al. · International Journal of Applied Earth Observation and Geoinformation
Develops satellite-based yield models at individual household-field level in Nouna HDSS.
Methods, findings & limitations ↗2023Methods / scientific contextMethods
Barteit et al. · Frontiers in Public Health
Introduces the modular CHEERS framework linking population surveillance, environmental measurements and individual health data.
Methods, findings & limitations ↗Explore the full publication library ↗Methods in exchange
Related workshops
Source & scope
Sources and scientific context
Content and images draw on Sandra Barteit’s Freiburg lecture, The Impact of Climate Change on Human Health: Lessons from Low- and Middle-Income Countries, slides 30, 44. Publication pages provide the corresponding research evidence. Reviewed 12 November 2026.
Images extracted from the lecture retain the original device or research illustration. Product images identify examples used in the source material.