Spectroscopic determination of leaf water content using continuous wavelet analysis

This research paper evaluates the use of continuous wavelet analysis on reflectance spectra (350–2500 nm) to estimate gravimetric water content (GWC) in 265 leaf samples from 47 tropical forest species in Panama, finding that wavelet features outperform established spectral indices.

• Continuous wavelet analysis identified eight features between 1300 and 2500 nm that correlate strongly with leaf water content expressed as a function of dry mass (LWCD), whereas traditional spectral indices showed poor correlations.
• The wavelet features sensitive to GWC include two that capture amplitude variations in the broad reflectance spectra shape and three that capture variations in the shape and depth of dry matter absorptions (such as cellulose, lignin, and protein) centered near 2100 and 1730 nm.
• Predictive models using a combination of wavelet features achieved root mean square errors (RMSEs) of 26.04% (R2 = 0.71) for LWCD and 4.34% (R2 = 0.75) for LWCF, representing an improvement over single-feature models.

APA

Inter-American Institute for Global Change Research (2025). Spectroscopic determination of leaf water content using continuous wavelet analysis. https://iai.int/es/pub_acad/spectroscopic-determination-of-leaf-water-content-using-continuous-wavelet-analysis/

Chicago

Inter-American Institute for Global Change Research. Spectroscopic determination of leaf water content using continuous wavelet analysis. 2025. https://iai.int/es/pub_acad/spectroscopic-determination-of-leaf-water-content-using-continuous-wavelet-analysis/.

Wikipedia

{{cite report |author=Inter-American Institute for Global Change Research |title=Spectroscopic determination of leaf water content using continuous wavelet analysis |date=17 January 2025 |url=https://iai.int/es/pub_acad/spectroscopic-determination-of-leaf-water-content-using-continuous-wavelet-analysis/ |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{interamericaninstituteforglobalchangeresearch2025spectroscopic, author = {{Inter-American Institute for Global Change Research}}, title = {{Spectroscopic determination of leaf water content using continuous wavelet analysis}}, institution = {Inter-American Institute for Global Change Research}, year = {2025}, month = jan, url = {https://iai.int/es/pub_acad/spectroscopic-determination-of-leaf-water-content-using-continuous-wavelet-analysis/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }