ORIGINAL RESEARCH
Quantitative Retrieval of Soil Moisture Content
in the Upper Reaches of the Minjiang River
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Key Laboratory of Geoscience Spatial Information Technology of Land and Resources,
Chengdu University of Technology, Chengdu, China
Submission date: 2017-08-20
Acceptance date: 2017-10-16
Online publication date: 2018-04-27
Publication date: 2018-05-30
Corresponding author
Yang Wu-nian
Chengdu University of Technology, Key Laboratory of Geoscience Spatial Information Technology of Land and Resources, Chengdu Universit, 610000 Chengdu, China
Pol. J. Environ. Stud. 2018;27(5):1959-1964
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ABSTRACT
This paper analyzes the correlation between soil moisture data and different spectral data
transformation, and it reveals that the correlation coefficient of soil moisture is highest near 584 nm,
711 nm, 1,055 nm, 1,420 nm, 1,635 nm, 2,176 nm, and 2,257 nm. The highest correlation coefficient
can be up to 0.83206. Multiple regression analysis can be done to understand the correlation between
the two, find out the reflectance values at the above fixed spectrum through a bilinear correlation, and
quantitatively invert soil moisture in the study area, shedding new light on soil moisture in this large area.