Estimating the Leaf Area Index of Winter Wheat Canopies with Crop Growth Model CERES-Wheat

Author

Yingying Dong ; Jihua Wang ; Cunjun Li ; Qian Wang ; Wenjiang Huang

Author_Institution

Beijing Res. Center for Inf. Technol. in Agric., Beijing, China

fYear

2012

fDate

1-3 June 2012

Firstpage

1

Lastpage

4

Abstract

Crop leaf area index (LAI) is an important parameter for crop growth monitoring and yield estimation. Considering the reliability and applicability of the statistical algorithms and the nonparametric algorithms in LAI estimation, a way for crop LAI estimation based on crop growth model is proposed in this study. For this LAI estimation scheme, firstly, the crop growth model is calibrated using history observations of the experimental area, then the calibrated values are input into the physical model for LAI estimation. Winter wheat in Beijing in 2002 is selected as experimental object. The RMSE, R², and Accuracy of CERES-Wheat model for crop LAI estimation are 0.87, 0.38, and 1.05 (N=128), respectively.

Keywords

vegetation; vegetation mapping; AD 2002; Beijing; CERES-Wheat model; LAI estimation; crop LAI estimation; crop growth model; crop growth monitoring; crop growth yield estimation; crop leaf area index; nonparametric algorithms; statistical algorithms; winter wheat canopies; Accuracy; Agriculture; Analytical models; Calibration; Estimation; Indexes; Numerical models;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-0872-4

Type

conf

DOI

10.1109/RSETE.2012.6260560

Filename

6260560