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

doi:10.1109/IGARSS.2012.6352535

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 proceeding › Chapter › Academic › peer-review

3 Citations (Scopus)

17 Downloads (Pure)

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 language	English
Title of host publication	2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	4817-4820
ISBN (Electronic)	978-1-4673-1159-5
ISBN (Print)	978-1-4673-1160-1
DOIs	https://doi.org/10.1109/IGARSS.2012.6352535
Publication status	Published - 22 Jul 2012
Event	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012: Remote Sensing for a Dynamic Earth - Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012 http://www.igarss2012.org/

Publication series

Name	IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Publisher	IEEE
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Abbreviated title	IGARSS
Country/Territory	Germany
City	Munich
Period	22/07/12 → 27/07/12
Internet address	http://www.igarss2012.org/

Keywords

METIS-298783

Access to Document

10.1109/IGARSS.2012.6352535

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)). IEEE. https://doi.org/10.1109/IGARSS.2012.6352535

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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.",

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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. et al.
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 proceeding › Chapter › Academic › peer-review

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PY - 2012/7/22

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AB - 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.

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Y2 - 22 July 2012 through 27 July 2012

ER -

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)). doi: 10.1109/IGARSS.2012.6352535

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

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