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

S. Ullah, A.K. Skidmore, M. Naeem, M. Schlerf

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

2 Citations (Scopus)
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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 publication2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages4817-4820
ISBN (Electronic)978-1-4673-1159-5
ISBN (Print)978-1-4673-1160-1
DOIs
Publication statusPublished - 22 Jul 2012
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012: Remote Sensing for a Dynamic Earth - Munich, Germany
Duration: 22 Jul 201227 Jul 2012
http://www.igarss2012.org/

Publication series

NameIEEE International Geoscience and Remote Sensing Symposium (IGARSS)
PublisherIEEE
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Abbreviated titleIGARSS
CountryGermany
CityMunich
Period22/07/1227/07/12
Internet address

Fingerprint

wavelet analysis
water content
wavelet
calibration
electromagnetic radiation

Keywords

  • METIS-298783

Cite this

Ullah, S., Skidmore, A. K., Naeem, M., & Schlerf, M. (2012). Estimation of leaf water content from far infrared (2.5-14µm) spectra using continuous wavelet analysis. In 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 4817-4820). (IEEE International Geoscience and Remote Sensing Symposium (IGARSS)). Piscataway, NJ: IEEE. https://doi.org/10.1109/IGARSS.2012.6352535
Ullah, S. ; Skidmore, A.K. ; Naeem, M. ; Schlerf, M. / Estimation of leaf water content from far infrared (2.5-14µm) spectra using continuous wavelet analysis. 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Piscataway, NJ : IEEE, 2012. pp. 4817-4820 (IEEE International Geoscience and Remote Sensing Symposium (IGARSS)).
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Ullah, S, Skidmore, AK, Naeem, M & Schlerf, M 2012, Estimation of leaf water content from far infrared (2.5-14µm) spectra using continuous wavelet analysis. in 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, Piscataway, NJ, pp. 4817-4820, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012, Munich, Germany, 22/07/12. https://doi.org/10.1109/IGARSS.2012.6352535

Estimation of leaf water content from far infrared (2.5-14µm) spectra using continuous wavelet analysis. / Ullah, S.; Skidmore, A.K.; Naeem, M.; Schlerf, M.

2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Piscataway, NJ : IEEE, 2012. p. 4817-4820 (IEEE International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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Ullah S, Skidmore AK, Naeem M, Schlerf M. Estimation of leaf water content from far infrared (2.5-14µm) spectra using continuous wavelet analysis. In 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Piscataway, NJ: IEEE. 2012. p. 4817-4820. (IEEE International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2012.6352535