TY - GEN
T1 - Estimation of leaf water content from far infrared (2.5-14 μm) spectra using continuous wavelet analysis
AU - Ullah, Saleem
AU - Skidmore, Andrew K.
AU - Naeem, Mohammad
AU - Schlerf, Martin
PY - 2012
Y1 - 2012
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=84873196766&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2012.6352535
DO - 10.1109/IGARSS.2012.6352535
M3 - Conference proceeding contribution
AN - SCOPUS:84873196766
SN - 9781467311601
SP - 4817
EP - 4820
BT - IGARSS 2012
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway NJ
T2 - 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Y2 - 22 July 2012 through 27 July 2012
ER -