Estimation of leaf water content from far infrared (2.5-14 μm) spectra using continuous wavelet analysis

Saleem Ullah*, Andrew K. Skidmore, Mohammad Naeem, Martin Schlerf

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)

Abstract

The objective of this study was to estimate leaf water content based on continuous wavelet analysis from the far infrared (2.5 - 14.0 μm) spectra. The entire dataset comprised of 394 far infrared spectra which were divided into calibration (262 spectra) and validation (132 spectra) subsets. The far infrared (2.5 - 14.0 μm) spectra were first transformed into a wavelet power scalogram, and then linearly plotted against leaf water content. The six individual wavelet features identified in the mid infrared yielded high correlation with leaf water content (R2 = 0.86 maximum, 0.83 minimum), as well as low RMSE (maximum 8.56%, minimum 9.27%). The combination of four wavelet features produced the most accurate model (R2 = 0.88, RMSE = 8.00%). The models were consistent in terms of accuracy estimation for both calibration and validation datasets, indicating that leaf water content can be accurately retrieved from mid to thermal infrared electromagnetic radiation.

Original languageEnglish
Title of host publicationIGARSS 2012
Subtitle of host publicationIEEE International Geoscience and Remote Sensing Symposium : remote sensing for a dynamic earth : proceedings
Place of PublicationPiscataway NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages4817-4820
Number of pages4
ISBN (Electronic)9781467311588, 9781467311595
ISBN (Print)9781467311601
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany
Duration: 22 Jul 201227 Jul 2012

Publication series

Name
ISSN (Print)2153-7003
ISSN (Electronic)2153-6996

Conference

Conference2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
CountryGermany
CityMunich
Period22/07/1227/07/12

Fingerprint

Dive into the research topics of 'Estimation of leaf water content from far infrared (2.5-14 μm) spectra using continuous wavelet analysis'. Together they form a unique fingerprint.

Cite this