Research on Hyperspectral Model for Blacksoil Organic Matter Estimation in Songnen Plain, China
文献类型:会议论文
作者 | Liu, Huanjun ; Zhang, Bai ; Zhang, Xingyi ; Song, Kaishan ; Wang, Zongming ; Duan, Hongtao |
出版日期 | 2006 |
会议名称 | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
会议日期 | JUL 31-AUG 04, 2006 |
会议地点 | Denver, CO |
关键词 | hyperspectral estimation model Blacksoil Soil organic matter |
英文摘要 | Models of soil reflectance for soil organic matter estimation are needed to quantify soil and vegetation spectral properties. The characteristics of Blacksoil in Songnen Plain, China, fit for quickly estimating organic matter content with hyperspectral reflectance models. Correlation analysis and multivariable statistical methods were used to build hyperspectral models for blacksoil organic matter content estimation, with spectral reflectance and its derivatives as independent variables and the Curvature and Ratio Indices introduced. Finally, the stability and capacity of the models were tested. The results are as follows: 620-810 nm bands are the main response spectrum of blacksoil organic matter, and the maximum is at 710 nm; normalizing spectral data partly eliminates the noises introduced when testing different samples; logtransforming SOM content improve the stability and prediction ability of the linear regression models; compared with other models, the multi-liner regression models are more stable and predictable; Normalized Spectra Derivate Multivariate Stepwise Linear Regression Model is the optimal one, and the Bow-curvature Linear Model is the most feasible one, the hyperspectral model can be used to measure blacksoil organic matter content quickly. |
会议主办者 | IEEE, IEEE Geosci & Remote Sensing Soc, Canadian Remote Sensing Soc, NASA, NOAA, Off Naval Res, Natl Polar orbiting Operat Environm Satellite Syst, Japan Aerosp Explorat Agcy, Ball Aerosp & Technologies Corp, Cooperat Inst Res Atmosphere, Colorado State Univ, Univ Colorado, Int Union Radio Sci |
会议录 | 2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8
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会议录出版者 | IEEE |
会议录出版地 | NEW YORK |
语种 | 英语 |
源URL | [http://159.226.123.10/handle/322005/4761] ![]() |
专题 | 东北地理与农业生态研究所_合作研究组 |
推荐引用方式 GB/T 7714 | Liu, Huanjun,Zhang, Bai,Zhang, Xingyi,et al. Research on Hyperspectral Model for Blacksoil Organic Matter Estimation in Songnen Plain, China[C]. 见:IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Denver, CO. JUL 31-AUG 04, 2006. |
入库方式: OAI收割
来源:东北地理与农业生态研究所
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