Prediction for Available Nitrogen and Available Phosphorus by Using Hyperspectral Data

Author

Xu, Lihua ; Xie, Deti

Author_Institution

Coll. of Resources & Environ., Southwest Univ., Chongqing, China

fYear

2012

fDate

1-3 June 2012

Firstpage

1

Lastpage

4

Abstract

Based on the analysis of the laboratory reflectance spectra of 118 soil samples, the prediction model of the content of available nitrogen (AN) and available phosphorus (AP)was established by the method of partial least square (PLS). The results showed that after continuum removal and re-sampling, the correlation of soil nutrients (AN and AP) and spectral characteristics of soil had been improved. The determination coefficient R2 of calibration model of available nitrogen and available phosphorus established on this basis were 0.712 and 0.499, respectively. The determinative coefficients of validation model were 0.712 and 0.502, respectively.

Keywords

geochemistry; soil; available nitrogen content; available phosphorus content; calibration model; determination coefficient; hyperspectral data; laboratory reflectance spectra; partial least square; soil nutrients; soil sample; soil spectral characteristics; Calibration; Correlation; Nitrogen; Predictive models; Reflectivity; Soil; Soil measurements;

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.2012.6260662

Filename

6260662