TY - GEN
T1 - Responses of plant biochemical substances to reflectance spectra at leaf and canopy scales
AU - Shi, Runhe
AU - Zhang, Huifang
AU - Sun, Juan
AU - Gao, Wei
AU - Zhuang, Dafang
AU - Niu, Zheng
PY - 2008
Y1 - 2008
N2 - Plants cover more than 70% of our earth's land surface and play an important role in the exchange of materials and energy between land and atmosphere. The biochemical substances existing in leaves have been proven to be critical factors in influencing, or even controlling, this exchange by means of various physiological processes, including photosynthesis, evaportranspiration, litter decomposition, etc. Compared to traditional wet chemistry methods, estimation of their contents through leaf and canopy reflectance spectra has become a rapid, efficient, and promising method over the past few decades, which had been physically based on the selective absorption features of a particular substance. This paper discusses the responses of plant biochemical substances to the reflectance spectra at both leaf and canopy scales. We use a leaf optical model PROSPECT and a leaf-canopy coupled optical model PROSAIL to generate large amounts of leaf and canopy spectra. Both of these models contain three biochemical parameters: cab-chlorophyll concentration, Cw-equivalent leaf water thickness, and Cm-dry matter concentration. Local and global sensitivity analysis (SA) methods are used on the simulated spectra to differentiate their contributions to the outcome spectra at both scales so as to investigate their scale effects. Results show that the maximum sensitivities of chlorophyll and water are much higher than that of dry matter at leaf scale, and they tend to decrease at canopy scale because canopy shape, soil, and incident/reflected geometric factors have a large influence on canopy spectra. However, the sensitivity of dry matter exceeds the maximum sensitivity of mesophyll structure parameters at canopy scale and becomes the top contributor at the beginning of near infrared.
AB - Plants cover more than 70% of our earth's land surface and play an important role in the exchange of materials and energy between land and atmosphere. The biochemical substances existing in leaves have been proven to be critical factors in influencing, or even controlling, this exchange by means of various physiological processes, including photosynthesis, evaportranspiration, litter decomposition, etc. Compared to traditional wet chemistry methods, estimation of their contents through leaf and canopy reflectance spectra has become a rapid, efficient, and promising method over the past few decades, which had been physically based on the selective absorption features of a particular substance. This paper discusses the responses of plant biochemical substances to the reflectance spectra at both leaf and canopy scales. We use a leaf optical model PROSPECT and a leaf-canopy coupled optical model PROSAIL to generate large amounts of leaf and canopy spectra. Both of these models contain three biochemical parameters: cab-chlorophyll concentration, Cw-equivalent leaf water thickness, and Cm-dry matter concentration. Local and global sensitivity analysis (SA) methods are used on the simulated spectra to differentiate their contributions to the outcome spectra at both scales so as to investigate their scale effects. Results show that the maximum sensitivities of chlorophyll and water are much higher than that of dry matter at leaf scale, and they tend to decrease at canopy scale because canopy shape, soil, and incident/reflected geometric factors have a large influence on canopy spectra. However, the sensitivity of dry matter exceeds the maximum sensitivity of mesophyll structure parameters at canopy scale and becomes the top contributor at the beginning of near infrared.
KW - Biochemical substance
KW - Canopy
KW - Leaf
KW - Reflectance spectra
KW - Sensitivity analysis
UR - https://www.scopus.com/pages/publications/56249087568
U2 - 10.1117/12.794088
DO - 10.1117/12.794088
M3 - 会议稿件
AN - SCOPUS:56249087568
SN - 9780819473035
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Remote Sensing and Modeling of Ecosystems for Sustainability V
T2 - Remote Sensing and Modeling of Ecosystems for Sustainability V
Y2 - 13 August 2008 through 13 August 2008
ER -