Remote sensing monitoring of soil moisture in the Mu Us sandland

Zhou Huizhen; Liu Shaomin; Bai Jie; Mao Defa

Volume 24 Issue 10

Oct. 2008

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Abstract

Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE) > 2008 > 24(10): 134-140.

Zhou Huizhen, Liu Shaomin, Bai Jie, Mao Defa. Remote sensing monitoring of soil moisture in the Mu Us sandland[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(10): 134-140.

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Remote sensing monitoring of soil moisture in the Mu Us sandland

1.
State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China
2.
Beijing Landview Mapping Information Technology Co. , Ltd. , Beijing 100096, China
3.
Beijing Water Technology Center, Beijing 100073, China

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Received Date: May 31, 2007
Revised Date: August 31, 2008
Published Date: October 30, 2008

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Abstract

Abstract

Based on NOAA-AVHRR, meteorology and soil moisture data during 1982－1993 in Wushen County of the Mu Us sandland, the satellite-derived estimation model of soil moisture was established by using VTCI (vegetation temperature condition index), and the soil moisture of each layer between 0～50 cm were estimated. The results show that the multi-annual mean soil moisture variation Δw is –3.47 mm. The annual soil moisture variations (Δw) are between –118 mm and 82 mm from 1982 to 1993, and the inter-annual changes of soil moisture Δw are between ±50 mm, which was positive except for the year of 1986, 1987, 1991 and 1993. The inner-annual changes of soil moisture Δw are between ±10 mm. Compared with ground measurements, the RMSD and MAPD of soil moisture are 14.77% and 77.54 mm respectively. As a result, the satellite-derived estimation model of soil moisture is feasible.
- soil moisture,
- remote sensing,
- vegetation temperature condition index

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[3]	Sun Yuxin, Yang Yuwei. Adaptive inverse decoupling control for bearingless induction motors based on nonlinear filter[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2016, 32(14): 76-83. DOI: 10.11975/j.issn.1002-6819.2016.14.011
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[6]	Du Fuyin. Adaptive PID decouple control strategy for wind power aided pumping water system based on neural network[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(4): 165-168.
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[8]	Design of temperature and humidity auto-control system with fuzzy decoupling for rice seedling[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(5): 170-174.
[9]	Zhou Guoxiong, Jiang Huiping. Fuzzy-immune PID algorithm with hierarchical structure for incubation and hatching process control[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2007, 23(12): 167-170.
[10]	Peng Yonggang, Wei Wei. Fuzzy control over temperature and humidity of artificial climate chest[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2006, 22(8): 166-169.