Deriving leaf mass per area (LMA) from foliar reflectance across a variety of plant species using continuous wavelet analysis
作者： Tao Cheng , Benoit Rivard , Arturo G. Sánchez-Azofeifa , Jean-Baptiste Féret , Stéphane Jacquemoud
DOI: 10.1016/J.ISPRSJPRS.2013.10.009
关键词: Reflectivity 、 Dry matter 、 Mathematics 、 Remote sensing 、 Wavelet 、 Continuous wavelet analysis 、 Specific leaf area 、 Plant species 、 Leaf mass per area 、 Range (statistics)
摘要: Abstract Leaf mass per area (LMA), the ratio of leaf dry to area, is a trait central importance understanding plant light capture and carbon gain. It can be estimated from reflectance spectroscopy in infrared region, by making use information about absorption features matter. This study reports on application continuous wavelet analysis (CWA) estimation LMA across wide range species. We compiled large database spectra acquired within framework three independent measurement campaigns (ANGERS, LOPEX PANAMA) generated simulated using PROSPECT optical properties model. CWA was applied measured databases extract that correlate with LMA. These were assessed terms predictive capability robustness while transferring models database. The assessment also conducted two existing spectral indices, namely Normalized Dry Matter Index (NDMI) Difference index for (NDLMA). Five common determined databases, which showed significant correlations (R2: 0.51–0.82, p
harvard.edu
elsevier.com
sci-hub.se 参考文章(55)
Paul J Curran, Jennifer L Dungan, David L Peterson, Estimating the foliar biochemical concentration of leaves with reflectance spectrometry: Testing the Kokaly and Clark methodologies Remote Sensing of Environment. ,vol. 76, pp. 349- 359 ,(2001) , 10.1016/S0034-4257(01)00182-1
Tao Cheng, Benoit Rivard, Arturo G. Sánchez-Azofeifa, Jean-Baptiste Féret, Stephane Jacquemoud, Susan L. Ustin, Predicting leaf gravimetric water content from foliar reflectance across a range of plant species using continuous wavelet analysis Journal of Plant Physiology. ,vol. 169, pp. 1134- 1142 ,(2012) , 10.1016/J.JPLPH.2012.04.006
Christopher E. Doughty, Gregory P. Asner, Roberta E. Martin, Predicting tropical plant physiology from leaf and canopy spectroscopy Oecologia. ,vol. 165, pp. 289- 299 ,(2011) , 10.1007/S00442-010-1800-4
R COLOMBO, M MERONI, A MARCHESI, L BUSETTO, M ROSSINI, C GIARDINO, C PANIGADA, Estimation of leaf and canopy water content in poplar plantations by means of hyperspectral indices and inverse modeling Remote Sensing of Environment. ,vol. 112, pp. 1820- 1834 ,(2008) , 10.1016/J.RSE.2007.09.005
Jean-Baptiste Féret, Gregory P. Asner, Spectroscopic classification of tropical forest species using radiative transfer modeling Remote Sensing of Environment. ,vol. 115, pp. 2415- 2422 ,(2011) , 10.1016/J.RSE.2011.05.004
Pietro Ceccato, Stéphane Flasse, Stefano Tarantola, Stéphane Jacquemoud, Jean-Marie Grégoire, Detecting vegetation leaf water content using reflectance in the optical domain Remote Sensing of Environment. ,vol. 77, pp. 22- 33 ,(2001) , 10.1016/S0034-4257(01)00191-2
Lingli Wang, John J. Qu, Xianjun Hao, E. Raymond Hunt, Estimating dry matter content from spectral reflectance for green leaves of different species Journal of remote sensing. ,vol. 32, pp. 7097- 7109 ,(2011) , 10.1080/01431161.2010.494641
Barbara J. Yoder, Rita E. Pettigrew-Crosby, Predicting nitrogen and chlorophyll content and concentrations from reflectance spectra (400–2500 nm) at leaf and canopy scales Remote Sensing of Environment. ,vol. 53, pp. 199- 211 ,(1995) , 10.1016/0034-4257(95)00135-N
Y.L. Grossman, S.L. Ustin, S. Jacquemoud, E.W. Sanderson, G. Schmuck, J. Verdebout, Critique of stepwise multiple linear regression for the extraction of leaf biochemistry information from leaf reflectance data Remote Sensing of Environment. ,vol. 56, pp. 182- 193 ,(1996) , 10.1016/0034-4257(95)00235-9
T. Cheng, B. Rivard, G.A. Sánchez-Azofeifa, J. Feng, M. Calvo-Polanco, Continuous wavelet analysis for the detection of green attack damage due to mountain pine beetle infestation Remote Sensing of Environment. ,vol. 114, pp. 899- 910 ,(2010) , 10.1016/J.RSE.2009.12.005