title: [Black soil organic matter content prediction based on reflectance simulation models].
abstract: The hyperspectral reflectance characteristics of black soil in Heilongjiang province were analyzed quantitatively, and then the main characteristic controlling points of reflectance were determined and used to build soil reflectance prediction models; the relationship between organic matter content and reflectance and the coefficients of simulating models were studied, Black soil organic matter content spectral prediction models were built, and the feasibility of hyperspectral reflectance simulatiib method was discussed. The results are as follows (1) Organic matter content is the determining factor of black soil reflectance characteristics in the range less than 1000 nm. When the content is low, the covering effect of organic matter on the black soil parent matrix reflectance characteristics is very weak, there are two absorption vales at 500 and 640 rim; when the content reaches a certain content (about 5%), the reflectance characteristics of black soil parent matrix are totally covered by organic matter, and there is only one large absorption vale in the region caused by organic matter. (2) The spectral characteristic controlling points of black soil hyperspectral reflectance in the range of 450-930 om are located at 450, 500, 590, 660 and 930 nrn, and divide the black soil reflectance into four parts. (3) Simulation models (linear, quadratic) rightly describe the characteristics of black soil hyperspectral reflectance, and the linear piecewise model shows a better performance. (4) The organic matter content prediction models with the coefficients of reflectance simulation models as independent variables are more precise than that based on soil reflectance and its derivate, which indicates that the characteristic controlling points for reflectance simulation models are selected reasonably and representatively, and the simulation models partly solve the data redundancy problem of soil hyperspectral reflectance, and improve the precision of black soil organic matter content prediction models with remote sensing methods. Reflectance simulating method can be used for data simplification and compression, data redundancy removal, organic matter and other soil pararneters remote sensing studies.
authors.affiliation: Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun, China. huanjunliu@gmail.com
authors.forename: Huan-jun
authors.initials: HJ
authors.lastname: Liu
authors.forename: Bai
authors.initials: B
authors.lastname: Zhang
authors.forename: Dian-wei
authors.initials: DW
authors.lastname: Liu
authors.forename: Kai-shan
authors.initials: KS
authors.lastname: Song
authors.forename: Zong-ming
authors.initials: ZM
authors.lastname: Wang
authors.forename: Fei
authors.initials: F
authors.lastname: Yang
mesh_terms: D004784:Environmental Monitoring / Q000379:methods*; D008962:Models, Theoretical; D009930:Organic Chemicals / Q000032:analysis*; D012987:Soil / Q000032:analysis*
chemical_list: D009930:Organic Chemicals; D012987:Soil