15 citations as recorded by crossref.

1. Predicting leaf traits of temperate broadleaf deciduous trees from hyperspectral reflectance: can a general model be applied across a growing season? L. Chen et al. 10.1016/j.rse.2021.112767
2. Reflectance spectroscopy allows rapid, accurate and non‐destructive estimates of functional traits from pressed leaves S. Kothari et al. 10.1111/2041-210X.13958
3. Spectroscopy can predict key leaf traits associated with source–sink balance and carbon–nitrogen status K. Ely et al. 10.1093/jxb/erz061
4. Characterizing seasonal variation in foliar biochemistry with airborne imaging spectroscopy A. Chlus & P. Townsend 10.1016/j.rse.2022.113023
5. Imaging spectroscopy reveals the effects of topography and logging on the leaf chemistry of tropical forest canopy trees T. Swinfield et al. 10.1111/gcb.14903
6. Forest Leaf Mass per Area (LMA) through the Eye of Optical Remote Sensing: A Review and Future Outlook T. Gara et al. 10.3390/rs13173352
7. Spectral subdomains and prior estimation of leaf structure improves PROSPECT inversion on reflectance or transmittance alone L. Spafford et al. 10.1016/j.rse.2020.112176
8. Towards comparable assessment of the soil nutrient status across scales—Review and development of nutrient metrics K. Van Sundert et al. 10.1111/gcb.14802
9. Light scattering in stacked mesophyll cells results in similarity characteristic of solar spectral reflectance and transmittance of natural leaves K. Xu & H. Ye 10.1038/s41598-023-31718-1
10. A non-destructive method to quantify the nutritional status of Cannabis sativa L. using in situ hyperspectral imaging in combination with chemometrics T. Schober et al. 10.1016/j.compag.2024.108656
11. Resilience of Spanish forests to recent droughts and climate change S. Khoury & D. Coomes 10.1111/gcb.15268
12. Predicting leaf traits across functional groups using reflectance spectroscopy S. Kothari et al. 10.1111/nph.18713
13. Changes in leaf functional traits of rainforest canopy trees associated with an El Niño event in Borneo M. Nunes et al. 10.1088/1748-9326/ab2eae
14. Leaf spectroscopy reveals divergent inter‐ and intra‐species foliar trait covariation and trait–environment relationships across NEON domains Z. Wang et al. 10.1111/nph.18204
15. The influence of mineral content on spectral features of vine leaves A. Thum et al. 10.1080/01431161.2020.1798547