基于GF-1 土壤有机质含量估测的研究.

[ Objective ] This paper aimed to test the application of GF-1 remote sensing images for estimating soil organic matter content. [ Method] Taken the fanning area soil of Fuvu city as tested samples, the organic matter contents of soil samples in laboratory tests were detected, the correlation of GF-1 band reflectance and transforming form with the content of soil organic matter were analyzed to determine organic matter sensitive bands, the spectral estimation models of a single band or multi band of soil organic matter content were established, and the area estimation model of the optimal content of soil organic matter in the study was chosen compared with the accuracy and stability of these estimation model. [ Result] The GF-1 band reflectance had a significantly negative correlation with organic matter content and reached the maximum value in the third band, the correlation coefficient was -0. 805 , and the RMS error was 0. 362; The reflectivity of power index would transform and could effectively improve the correlation with the content of organic matter, its correlation coefficients were increased to -0. 886 and -0. 872, and root mean square error decreased to 0. 283 and 0. 342 ; The 3 yuan to establish reflectance index transformation estimation model,model determination coefficient( R2 ) reached 0. 851 , and the RMS error of test samples was reduced to 0. 172 , which indicated that this model had a high accuracy, good stability estimation. [ Conclusion] The GF-1 remote sensing image could be used as a remote sensing data source for estimating soil organic matter content and would provide a reference for the study of GF-1 remote sensing image estimation of soil components. [ABSTRACT FROM AUTHOR]