ArticleScientific reports2017
Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 119 citations in OpenAlex.
- Mapping groundwater-dependent vegetation in temperate climates on the example of Central Germany.Royal Society open science · 2026Article
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- Deconfounding Phenology in SPAD-Based Rice Nitrogen Diagnosis Using Physiological Time and Canopy-Stratified Measurements.Plants (Basel, Switzerland) · 2026Article
- Divergent impacts of temperature and precipitation changes on leaf area index of deciduous broadleaf and needleleaf forests in the Northern Hemisphere.Frontiers in plant science · 2026Article
- Phytoscreening the homes of pregnant residents for volatile organic compounds: a pilot study in metro Detroit.Frontiers in environmental health · 2026Article
- Decoding spatiotemporal dynamics of suspended sediment and vegetation in shallow reservoirs with Sentinel-2 and ANNs: A case study of Lake Tisza, Hungary.Environmental monitoring and assessment · 2025Article
- Chloroplast Auxin Efflux Mediated by ABCB28 and ABCB29 Fine-Tunes Salt and Drought Stress Responses inPlants (Basel, Switzerland) · 2023Article
- Multispectral Phenotyping and Genetic Analyses of Spring Appearance in Greening Plant,Plant phenomics (Washington, D.C.) · 2023Article
- Reconstructing landscapes of ungulate parturition and predation using vegetation phenology.Current zoology · 2022Article
- Monitoring responses of vegetation phenology and productivity to extreme climatic conditions using remote sensing across different sub-regions of China.Environmental science and pollution research international · 2021Article
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Changes in plant phenology affect the carbon flux of terrestrial forest ecosystems due to the link between the growing season length and vegetation productivity. Digital camera imagery, which can be acquired frequently, has been used to monitor seasonal and annual changes in forest canopy phenology and track critical phenological events. However, quantitative assessment of the structural and biochemical controls of the phenological patterns in camera images has rarely been done. In this study, we used an NDVI (Normalized Difference Vegetation Index) camera to monitor daily variations of vegetation reflectance at visible and near-infrared (NIR) bands with high spatial and temporal resolutions, and found that the infrared camera based NDVI (camera-NDVI) agreed well with the leaf expansion process that was measured by independent manual observations at Harvard Forest, Massachusetts, USA. We also measured the seasonality of canopy structural (leaf area index, LAI) and biochemical properties (leaf chlorophyll and nitrogen content). We found significant linear relationships between camera-NDVI and leaf chlorophyll concentration, and between camera-NDVI and leaf nitrogen content, though weaker relationships between camera-NDVI and LAI. Therefore, we recommend ground-based camera-NDVI as a powerful tool for long-term, near surface observations to monitor canopy development and to estimate leaf chlorophyll, nitrogen status, and LAI.
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