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Effects Of Leaf Hair On Estimation Of Chlorophyll Content For Urban Vegetations

Posted on:2014-09-28Degree:MasterType:Thesis
Country:ChinaCandidate:M XiaoFull Text:PDF
GTID:2251330401981273Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
Spectral vegetation indices can be used to estimate vegetation leaf chlorophyll contentand other biochemistries. Since spectral vegetation indices could monitor health condition ofvegetation and their environment without damage, they have been widely used. But most ofthe vegetation indices assume that the spectral characteristics of plants are only related to theirbiochemistries, without considering the influence of the hair structure of the leaf surface onleaf spectrum, or the effect of biochemistries estimation with these indices. However, manystudies have shown that the leaf surface hair has a great influence on leaf spectral reflectance.This thesis studied the effect of leaf surface hair on the estimation of leaf chlorophyllcontent by removing the leaf hair with transparent tape. Six species of urban vegetation withdifferent leaf surface hair structure were selected as samples. We found that the hair densityhas an impact on inversion of chlorophyll content using vegetation indices, the greater thehair density, the smaller the correlation coefficient between the vegetation indices and thechlorophyll content. In each plant species, we randomly selected half of the leaf samples asthe training samples to model the chlorophyll content with the ratio or reflectance differenceof spectral bands within400-2500nm. It is found that before and after hair removal, the faraxial plane of Lonicera Ruprechtiana, R2of R463/R481and R1185/R2065and total leafchlorophyll content were0.864,0.892and0.733,0.736; before and after hair removal ofnearly axial plane Lonicera Ruprechtiana, R2of R1102/R1147and total leaf chlorophyll contentwere0.869,0.898;before and after hair removal of Tilia mandshurica leaves, the R2ofR1084-R1129and total leaf chlorophyll content were0.594,0.600; before and after hair removalof Elaeagnus angustifolia leaves, the R2of R886/R913, R1714/R1723and total leaf chlorophyllcontent were0.497,0.588and0.679,0.608; before and after hair removal of the far axial planeof Populus alba, the R2of R1084/R1147and total leaf chlorophyll content were0.388,0.372.And through the test of remaining samples, we found that before and after hair removal of faraxial plane of Lonicera ruprechtiana, the RMSE of R463/R481and R1185/R2065were0.00268,0.00326and0.00634,0.00722; before and after hair removal of neaely axial plane ofLonicera ruprechtiana, the RMSE of R1102/R1147were0.00571、0.00581;before and after hairremoval of the far axial plane of Tilia mandshurica, the RMSE of R1084-R1129were0.00468,0.00372; before and after hair removal of Elaeagnus angustifolia leaf the RMSE ofR886/R913and R1714/R1723were0.00481、0.00369and0.00354、0.00421; before and after hairremoval of the far axial plane of Populus alba, the RMSE of R1084/R1147were0.00259,0.00303.In comparing correlation coefficient of estimating chlorophyll content by existing vegetationindices and found some vegetation indices of this article performed better in estimatingchlorophyll content. Because their inversion precision before and after hair removing arerobust, they are hair insensivtive vegetation indices in inversion of chlorophyll content.
Keywords/Search Tags:Vegetation index, Chlorophyll, Hairs density, Regression analysis
PDF Full Text Request
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