Remote estimation of canopy leaf area index and chlorophyll content in Moso bamboo (Phyllostachys edulis (Carrière) J. Houz.) forest using MODIS reflectance data

  • Xiaojun Xu
  • Huaqiang Du
  • Guomo Zhou
  • Fangjie Mao
  • Xuejian Li
  • Dien Zhu
  • Yangguang Li
  • Lu Cui
Original Paper


Key message

We estimated the leaf area index (LAI) and canopy chlorophyll content (CC) of Moso bamboo forest by using statistical models based on MODIS data and field measurements. Results showed that the statistical model driven by MODIS data has the potential to accurately estimate LAI and CC, while the structure of the calibration models varied between on- and off-years because of the different leaf change and bamboo shoot production characteristics between these types of years.


LAI and CC (gram per square meter of ground area) are important parameters for determining carbon exchange between Moso bamboo forest (Phyllostachys edulis (Carrière) J. Houz.) and the atmosphere.


This study evaluated the ability of a statistical model driven by MODIS data to accurately estimate the LAI and CC in Moso bamboo forest, and differences in the LAI and CC between on-years (years with great shoot production) and off-years (years with less shoot production) were analyzed.


The LAI and CC measurements were collected in Anji County, Zhejiang Province, China. Indicators of LAI and CC were calculated from MODIS data. Then, a regression analysis was used to build relationships between the LAI and CC and various indicators on the basis of leaf change and bamboo shoot production characteristics of Moso bamboo forest.


LAI and CC were accurately estimated by using the regression analysis driven by MODIS-derived indicators with a relative root mean squared error (RMSEr) of 9.04 and 13.1%, respectively. The structure of the calibration models varied between on- and off-years. Long-term time series analysis from 2000 to 2015 showed that LAI and CC differed largely between on- and off-years.


This study demonstrates that LAI and CC of Moso bamboo forest can be estimated accurately by using a statistical model driven by MODIS-derived indicators, but attention should be paid to differences in the calibration models between on- and off-years.


Leaf area index Canopy chlorophyll content MODIS reflectance Vegetation index Moso bamboo 



This study was supported by the National Natural Science Foundation [31500520, 31370637, and 31670644] and Natural Science Foundation of Zhejiang Province [LQ15C160003].

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

13595_2018_721_MOESM1_ESM.doc (66 kb)
ESM 1 (DOC 66 kb)
13595_2018_721_MOESM2_ESM.doc (46 kb)
ESM 2 (DOC 46 kb)


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Copyright information

© INRA and Springer-Verlag France SAS, part of Springer Nature 2018

Authors and Affiliations

  1. 1.State Key Laboratory of Subtropical SilvicultureZhejiang A & F UniversityLin’anChina
  2. 2.Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang ProvinceZhejiang A & F UniversityLin’anChina
  3. 3.School of Environmental and Resources ScienceZhejiang A & F UniversityLin’anChina

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