Title :
Study on quantitative retrieval of soil nutrients
Author :
Dong, Heng ; Chen, Chao ; Wang, Jinliang ; QIN, Qiming ; Jiang, Hongbo ; Zhang, Ning ; Liu, Mingchao
Author_Institution :
Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ., Beijing, China
Abstract :
Soil spectral reflectance is affected by soil physicochemical characteristics and the physical basis of the soil remote sensing. Generally, the impact factors of the soil spectral features include water content, organic matter content, iron oxides content, physical composition and the parent material. In this study, a portable ASD FieldSpec Pro FR was used to collect the spectra of soil samples. The sensitive bands were selected by analyzing the relationship between nutrients and soil spectral features. Then the inversion models of soil nitrogen and organic were established by linear regression separately. The result showed that the content of soil nitrogen and soil organic can be well retrieved from remote sensing.
Keywords :
geochemistry; geophysical techniques; remote sensing; soil; iron oxides content; linear regression; organic matter content; physical composition; soil nitrogen; soil nutrients; soil physicochemical characteristics; soil remote sensing; soil spectral reflectance; water content; Biological system modeling; Linear regression; Nitrogen; Reflectivity; Remote sensing; Soil; Soil measurements; Linear regression method; Soil nutrients; Soil spectral reflectance;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049997