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利用地面高光谱和逐步判别法进行滨海盐土开发程度评价
作者姓名:SHI Zhou  CHENG Jie-Liang  HUANG Ming-Xiang  ZHOU Lian-Qing
作者单位:[1]Institute of Agricultural Remote Sensing and Information System, Zhejiang University, Hangzhou 310029 (China). [2]State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing 100101 (China)
摘    要:At different times over the past 30 years in Zhejiang Province, China, the coastal tidelands have been successively enclosed and reclaimed for agricultural land use. The purpose of this work was to evaluate whether laboratory hyperspectral data might be used to estimate the physicochemical characteristics of these reclaimed saline soils. A coastal region of Shangyu City (Zhejiang Province), which was grouped into four subzones according to reclamation history, was used as the study area, and soil samples were collected in each subzone. Physicochemical analyses showed that the soils were characterized by high electrical conductivity and sand content with low organic matter; the longer the saline lands had been reclaimed, the lower were the electrical conductivity and sand content and the higher the organic matter content. These changing trends of soil chemical and physical properties were found in laboratory reflectance spectra of soil samples and their first-order derivative curves. Stepwise discriminant analysis (SDA) identified six salient spectral bands at 488, 530, 670, 880, 1400, and 1900 nm. Using derived discriminant functions for saline lands with different historical years of reclamation, classification revealed an overall accuracy from a self-test of 86.6% and from cross-validation of 89.3%. Therefore, as opposed to time-consuming field investigations, this study suggested that remotely sensed hyperspectral data could serve as a promising measure to assess the reclamation levels of coastal saline lands.

关 键 词:土地开垦  遥感技术  盐碱地  SDA  实验室
收稿时间:2005-11-03
修稿时间:2006-01-18

Assessing reclamation levels of coastal saline lands with integrated stepwise discriminant analysis and laboratory hyperspectral data
SHI Zhou,CHENG Jie-Liang,HUANG Ming-Xiang,ZHOU Lian-Qing.Assessing reclamation levels of coastal saline lands with integrated stepwise discriminant analysis and laboratory hyperspectral data[J].Pedosphere,2006,16(2):154-160.
Authors:SHI Zhou  CHENG Jie-Liang  HUANG Ming-Xiang and ZHOU Lian-Qing
Institution:Institute of Agricultural Remote Sensing and Information System, Zhejiang University, Hangzhou 310029 (China). E-mail: shizhou@zju.edu.cn;Institute of Agricultural Remote Sensing and Information System, Zhejiang University, Hangzhou 310029 (China). E-mail: shizhou@zju.edu.cn;State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing 100101 (China);Institute of Agricultural Remote Sensing and Information System, Zhejiang University, Hangzhou 310029 (China). E-mail: shizhou@zju.edu.cn
Abstract:At different times over the past 30 years in Zhejiang Province, China, the coastal tidelands have been successively enclosed and reclaimed for agricultural land use. The purpose of this work was to evaluate whether laboratory hyperspectral data might be used to estimate the physicochemical characteristics of these reclaimed saline soils. A coastal region of Shangyu City (Zhejiang Province), which was grouped into four subzones according to reclamation history, was used as the study area, and soil samples were collected in each subzone. Physicochemical analyses showed that the soils were characterized by high electrical conductivity and sand content with low organic matter; the longer the saline lands had been reclaimed, the lower were the electrical conductivity and sand content and the higher the organic matter content. These changing trends of soil chemical and physical properties were found in laboratory reflectance spectra of soil samples and their first-order derivative curves. Stepwise discriminant analysis (SDA) identified six salient spectral bands at 488, 530, 670, 880, 1400, and 1900 nm. Using derived discriminant functions for saline lands with different historical years of reclamation, classification revealed an overall accuracy from a self-test of 86.6% and from cross-validation of 89.3%. Therefore, as opposed to time-consuming field investigations, this study suggested that remotely sensed hyperspectral data could serve as a promising measure to assess the reclamation levels of coastal saline lands.
Keywords:hyperspectra  reclamation  remote sensing  saline soil  SDA
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