ArticleProceedings of the National Academy of Sciences of the United States of America2013
Hyperspectral remote sensing of foliar nitrogen content.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- Improving Nitrogen Use Efficiency in Wheat: Integrating Agronomic, Genomics, and Remote Sensing for Sustainable Production.Plant, cell & environment · 2026Review
- Hyperspectral Estimation of Layer-Specific Leaf Nitrogen Content in Potato Canopy by Integrating Fractional-Order Derivatives and Three-Band Spectral Indices.Plants (Basel, Switzerland) · 2026Article
- Growth-stage dependent changes of leaf chlorophyll content as a proxy for photosynthetic capacity in maize.Frontiers in plant science · 2026Article
- The performance of directional area scattering factor proxies for correcting canopy structural and soil effects on leaf chlorophyll content estimation varies with canopy conditions in agricultural systems.Frontiers in plant science · 2026Article
- Tree diversity shapes the spectral signature of light transmittance in developing forests.Ecology · 2025Article
- Coupling PROSPECT with Prior Estimation of Leaf Structure to Improve the Retrieval of Leaf Nitrogen Content inPlant phenomics (Washington, D.C.) · 2024Article
- Challenges and opportunities in remote sensing-based crop monitoring: a review.National science review · 2023Review
- Joint optimization of land carbon uptake and albedo can help achieve moderate instantaneous and long-term cooling effects.Communications earth & environment · 2023Article
- Leaf photosynthetic pigment as a predictor of leaf maximum carboxylation rate in a farmland ecosystem.Frontiers in plant science · 2023Article
- Nitrogen use efficiency (NUE): elucidated mechanisms, mapped genes and gene networks in maize (Physiology and molecular biology of plants : an international journal of functional plant biology · 2021Review
- Hyperspectral reflectance-based phenotyping for quantitative genetics in crops: Progress and challenges.Plant communications · 2021Review
- Empirical validation of photon recollision probability in single crowns of tree seedlings.ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS) · 2020Article
- Data-Driven Methods for the Estimation of Leaf Water and Dry Matter Content: Performances, Potential and Limitations.Sensors (Basel, Switzerland) · 2020Article
- Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions.Remote sensing of environment · 2020Article
- Exploring the spatial relationship between airborne-derived red and far-red sun-induced fluorescence and process-based GPP estimates in a forest ecosystem.Remote sensing of environment · 2019Article
- Exploiting genetic variation in nitrogen use efficiency for cereal crop improvement.Current opinion in plant biology · 2019Review
- Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods.Surveys in geophysics · 2019Article
- Variability and Uncertainty Challenges in Scaling Imaging Spectroscopy Retrievals and Validations from Leaves Up to Vegetation Canopies.Surveys in geophysics · 2019Article
- Hyperspectral Leaf Reflectance as Proxy for Photosynthetic Capacities: An Ensemble Approach Based on Multiple Machine Learning Algorithms.Frontiers in plant science · 2019Article
- Prediction of cadmium concentration in brown rice before harvest by hyperspectral remote sensing.Environmental science and pollution research international · 2019Article
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17 authors.
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Abstract
A strong positive correlation between vegetation canopy bidirectional reflectance factor (BRF) in the near infrared (NIR) spectral region and foliar mass-based nitrogen concentration (%N) has been reported in some temperate and boreal forests. This relationship, if true, would indicate an additional role for nitrogen in the climate system via its influence on surface albedo and may offer a simple approach for monitoring foliar nitrogen using satellite data. We report, however, that the previously reported correlation is an artifact--it is a consequence of variations in canopy structure, rather than of %N. The data underlying this relationship were collected at sites with varying proportions of foliar nitrogen-poor needleleaf and nitrogen-rich broadleaf species, whose canopy structure differs considerably. When the BRF data are corrected for canopy-structure effects, the residual reflectance variations are negatively related to %N at all wavelengths in the interval 423-855 nm. This suggests that the observed positive correlation between BRF and %N conveys no information about %N. We find that to infer leaf biochemical constituents, e.g., N content, from remotely sensed data, BRF spectra in the interval 710-790 nm provide critical information for correction of structural influences. Our analysis also suggests that surface characteristics of leaves impact remote sensing of its internal constituents. This further decreases the ability to remotely sense canopy foliar nitrogen. Finally, the analysis presented here is generic to the problem of remote sensing of leaf-tissue constituents and is therefore not a specific critique of articles espousing remote sensing of foliar %N.
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