Quantitative Prediction Study of Climate-sensitive Potassium with Hyperspectrum in Arid and Semi-arid Region of Northwestern China

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Hu, F.^1,2 ; Lin, Q.Z.^1 ; Wang, Q.J.^1,3 ; Wang, Y.J.^1,2

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China^1

University of Chinese Academy of Sciences, Beijing, 100094, China^2

Institute of Remote Sensing and Digital Earth, CAS, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China^3

关键词: Arid and semi-arid regions;    Correlation coefficient;    Determination coefficients;    Northwestern China;    Quantitative prediction;    RMSE (root mean square error);    Sensitive wavelengths;    Spectral absorption features;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012020/pdf
DOI  :  10.1088/1755-1315/17/1/012020

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Soil potassium content in arid and semi-arid region can reflect the conditions of the paleoclimate and it can be inverted by soil spectra. The relationship between soil spectra and soil potassium content was discussed in this research. Based on four reflectance transformations, single-variance analysis and multi-variances inversion model were built to invert potassium content. The results of single-wavelength inversions were very significant except for the reflectance model. The multi-variances models were good and accurately (R2(determination coefficient) >0.674 and RMSE (root-mean-square error)