Title
Hyperspectral Analysis of Soil Total Nitrogen in Subsided Land Using the Local Correlation Maximization-Complementary Superiority (LCMCS) Method
Abstract
The measurement of soil total nitrogen (TN) by hyperspectral remote sensing provides an important tool for soil restoration programs in areas with subsided land caused by the extraction of natural resources. This study used the local correlation maximization-complementary superiority method (LCMCS) to establish TN prediction models by considering the relationship between spectral reflectance (measured by an ASD FieldSpec 3 spectroradiometer) and TN based on spectral reflectance curves of soil samples collected from subsided land which is determined by synthetic aperture radar interferometry (InSAR) technology. Based on the 1655 selected effective bands of the optimal spectrum (OSP) of the first derivate differential of reciprocal logarithm ([log{1/R}]), (correlation coefficients, p < 0.01), the optimal model of LCMCS method was obtained to determine the final model, which produced lower prediction errors (root mean square error of validation [RMSEV] = 0.89, mean relative error of validation [MREV] = 5.93%) when compared with models built by the local correlation maximization (LCM), complementary superiority (CS) and partial least squares regression (PLS) methods. The predictive effect of LCMCS model was optional in Cangzhou, Renqiu and Fengfeng District. Results indicate that the LCMCS method has great potential to monitor TN in subsided lands caused by the extraction of natural resources including groundwater, oil and coal.
Year
DOI
Venue
2015
10.3390/s150817990
SENSORS
Keywords
Field
DocType
hyperspectral reflectance,ASD FieldSpec spectroradiometers,local correlation maximization-complementary superiority,soil total nitrogen,subsided land
Interferometric synthetic aperture radar,Partial least squares regression,Remote sensing,Mean squared error,Hyperspectral imaging,Logarithm,Spectroradiometer,Geography,Approximation error,Soil test
Journal
Volume
Issue
ISSN
15
8.0
1424-8220
Citations 
PageRank 
References 
0
0.34
14
Authors
4
Name
Order
Citations
PageRank
lixin lin100.34
Yunjia Wang27115.63
jiyao teng300.34
xiuxiu xi400.34