Remote Sensing Applications and Decision Support

Determining soil water content of salt-affected soil using far-infrared spectra: laboratory experiment

[+] Author Affiliations
Lu Xu

Chinese Academy of Sciences, Xinjiang Institute of Ecology and Geography, 818 Road Beijing, Urumqi 830011, China

University of Chinese Academy of Sciences, Beijing, 19 Road Yuquan, Beijing 100049, China

Zhichun Wang

Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology, 4888 Shengbei Street, Changchun 130012, China

Maina John Nyongesah

Jaramogi Oginga Odinga University of Science and Technology, Bondo, 210-40601, Kenya

Gang Liu

Shizuoka University, Graduate School of Agriculture, 836 Ohya, Shizuoka 422-8529, Japan

J. Appl. Remote Sens. 9(1), 095983 (Dec 09, 2015). doi:10.1117/1.JRS.9.095983
History: Received July 16, 2015; Accepted November 3, 2015
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Abstract.  Rapid determination of soil water content is urgently needed for monitoring and modeling ecosystem processes and improving agricultural practices, especially in arid landscapes. Far-infrared band application in soil water measurement is still limited. Various samples were arranged to simulate complex field condition and emissivity was obtained from a Fourier transform infrared spectrometer. Four spectral forms (including raw spectra, logarithm of reciprocal spectra, first-order derivate, and second-order derivate) were employed to develop a partial least squares regression model. The results indicate that the model with first-order derivate spectral form was identified with the highest performance (R2=0.87 and root mean square error=1.88%) at the range of 8.309 to 10.771μm. Judging from the contribution of the bands to each principal component, the band region from 8.27 to 9.112μm holds a great promise for soil water content estimation. Several channels of ASTER and MODIS correspond to the involved band domain, which show the potential of predicting and mapping soil water content on large scales. However, there are still constraints due to the differences in spectral resolution between instrument and sensors and the influence of complex factors under field conditions, which are still challenges for forthcoming studies.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Topics

Water ; Far infrared

Citation

Lu Xu ; Zhichun Wang ; Maina John Nyongesah and Gang Liu
"Determining soil water content of salt-affected soil using far-infrared spectra: laboratory experiment", J. Appl. Remote Sens. 9(1), 095983 (Dec 09, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.095983


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