NDLI: Estimating Biophysical and Biochemical Parameters and Yield of Winter Wheat Based on Landsat TM Images

Content Provider	IEEE Xplore Digital Library
Author	Yansong Bao Liangyun Liu Jihua Wang
Copyright Year	2008
Description	Author affiliation: Nat. Eng. Res. Center for Inf. Technol. in Agric., Beijing (Jihua Wang) \|\| Center for Earth Obs. & Digital Earth, Chinese Acad. of Sci., Beijing (Liangyun Liu) \|\| Sch. of remote sensing, Nanjing Univ. of Inf. Sci. & Technol., Nanjing (Yansong Bao)
Abstract	This paper focuses on the methodology of estimating biophysical and biochemical parameters and yield of winter wheat based on Landsat TM images. In order to develop the method of retrieving wheat parameters from remote sensing data, five Landsat TM images were acquired respectively at erecting stage, jointing stage, heading stage, early grain-filling stage and grain-filling stage of winter wheat. Experiment sites' wheat biophysical and biochemical parameters such as biomass, LAI, chlorophyll, nitrogen content and yield were measured. Based on the TM images, vegetation indices such as NDVI, OSAVI, MSAVI EVI, SIPI and NDWI were calculated. Then the correlation coefficients between wheat parameters and spectral indices of the experiment sites were computed. According to the correlation coefficients, the optimal spectral indices for estimating wheat parameters were determined. The best-fitting method was employed to build the relationship models between wheat parameters and the optimal spectral indices. Finally, the models were used to estimate wheat biophysical and biochemical parameters and yield based on Landsat TM data. Research results show wheat parameter estimation models possessed more $R^{2}$ values than 0.615.
File Size	188662
File Format	PDF
ISBN	9781424428076
DOI	10.1109/IGARSS.2008.4779112
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Yield estimation Satellites Remote sensing Crops Biomass Remote monitoring Agriculture Vegetation mapping Parameter estimation Global Positioning System winter wheat TM Biophysical and biochemical parameters yield estimation
Content Type	Text
Resource Type	Article

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