A method of estimating soil moisture based on the linear decomposition of mixture pixels.pdf
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Mathematical and Computer Modelling 58 (2013) 606–613
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Mathematical and Computer Modelling
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A method of estimating soil moisture based on the linear decomposition
of mixture pixels
Zhongling Gao a,b, Xingang Xu b,?, Jihua Wang b, Hao Yang b, Wenjiang Huang b, Huihui Feng a
a School of Geography, Beijing Normal University, Beijing 100875, PR China
b Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, PR China
a r t i c l e i n f o
Article history:
Received 30 September 2011
Accepted 26 October 2011
Keywords:
Surface soil moisture
Red–nir spectral feature space
Linear decomposition of mixture pixels
Soil line
Remote sensing
a b s t r a c t
The objective of this study was to estimate soil moisture with soil red and nir (near-
infrared) band reflectance from TM/ETM+ remotely sensed images acquired over
vegetated fields. Based on linear decomposition algorithm of mixture pixel, first the soil
reflectance from red–nir bands were directly and computationally derived by combining
soil line equation with a developed empirical relationship between vegetation canopy and
mixture pixel reflectance in red–nir spectral feature space. Then, a remote sensing image
from TM with measurement data from experimental fields in Beijing, China, was used to
establish the retrieval relationships between soil moisture and soil reflectance from the
red and nir bands, and the results showed that the retrieval of soil moisture was better
with nir band reflectance than that of red. Finally, the soil moisture retrieved method was
further evaluated and validated with two images from ETM+ and ground measurements
from fields in Walnut Creek, America, and the analysis showed that the proposed method
could be used to monitor soil moisture well, with the correlation coefficient exceeding
0.80. The preliminary results with such acceptable accur
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