CN201754150U - Microwave remote sensing soil moisture monitoring system - Google Patents

Microwave remote sensing soil moisture monitoring system Download PDF

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Publication number
CN201754150U
CN201754150U CN2010202187062U CN201020218706U CN201754150U CN 201754150 U CN201754150 U CN 201754150U CN 2010202187062 U CN2010202187062 U CN 2010202187062U CN 201020218706 U CN201020218706 U CN 201020218706U CN 201754150 U CN201754150 U CN 201754150U
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gnss
soil moisture
remote sensing
ground
microwave
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CN2010202187062U
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李颖
吴学睿
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Dalian Maritime University
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Dalian Maritime University
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Abstract

The utility model discloses a microwave remote sensing soil moisture monitoring system, which comprises an SMOS satellite, a ground satellite receiving station, a data processing system, a GNSS signal source, a GNSS-R receiver, a mobile platform and a platform control system. L-band microwave signals transmitted from the ground surface are received by the SMOS satellite passively, and are processed by the data processing system and transmitted to a data analyzing process system, GNSS direct signals and forward scattering signals are received by the GNSS-R receiver and transmitted to the data analyzing process system, the forward scattering signals are reflected by the ground surface and contain ground feature information, and finally, precision evaluation to soil moisture information and verification of inversion algorithm are realized by the data analyzing process system. Real-time synchronous ground data acquired by the GNSS-R is applied to precision evaluation and verification of inversion algorithm of an SMOS soil moisture model of a passive microwave sensor, thereby realizing multi-dimension and active and passive combined microwave remote-control soil moisture monitoring.

Description

A kind of microwave remote sensing soil moisture monitoring system
Technical field
The utility model relates to a kind of soil moisture monitoring system, particularly a kind of microwave remote sensing soil moisture monitoring system.
Background technology
An important parameter index in hydrology, meteorology and the research of agricultural science field is exactly a soil moisture, and soil moisture has also played important effect in current agricultural development.Monitoring soil moisture and inverting are the important component parts of agricultural research and Ecology Environment Evaluation on a large scale.The holard environment inverting of zone or global range is one of requisite parameter in the face procedure schema research of land.Thereby soil moisture remote sensing monitoring and inverting are the important topics of current scientific research.
Microwave remote sensing can be divided into two kinds of active microwave remote sensing and passive microwave remote sensings.Passive microwave remote sensing monitoring soil moisture mainly depends on microwave radiometer the microwave emission or the brightness temperature of soil itself is measured.Studies show that: the efficiently sampling degree of depth of microwave radiometry soil moisture is about 2 to 5 centimetres, and selects longer wavelength more favourable, and wavelength is L-band the best of 21cm.The fundamental purpose of the soil moisture of European Space Agency and ocean salinity plan SMOS (Soil Moisture and Ocean Salinity) is monitoring soil moisture and ocean salinity.The service load of SMOS satellite is based on the TRMMMi-crowave Imager MIRAS (Microwave Imaging Radiometer by Aperture Synthesis) of aperture synthesis technology, L-wave band, two dimension, dual-polarized passive microwave interferometric radiometer, this sensor can provide the observation of 0 to 55 ° of multi-angle global range, thereby provides effective means for the Soil Moisture Inversion of global range.The pixel resolution of SMOS is at 30~50km, and in conjunction with assimilation model, these spaceborne data will unprecedentedly improve the spatial resolution of soil moisture, and SMOS is 0.4m to the monitoring accuracy of soil moisture 3/ m 3, after carrying out the Soil Moisture Inversion algorithm of large scale, need the real-time synchrodata of small scale to carry out the evaluation of model accuracy and the checking of inversion algorithm.
And the main means of the in real time synchronous verification method of existing small scale are the microwaves corresponding sensor to be installed on the aerial remote sensing platforms such as ground or unmanned plane, because sensor involves great expense, cause the waste of manpower and financial resources.
Therefore, at the monitoring soil moisture technology of SMOS satellite, also need a kind of convenient, efficient, ground synchronous checking means that cost is low.
Summary of the invention
For solving the problem that exists on the prior art, the utility model will propose the microwave remote sensing soil moisture monitoring system of a kind of low cost, multiple dimensioned, main passive combination.
For achieving the above object, the technical solution of the utility model is as follows:
A kind of microwave remote sensing soil moisture monitoring system, comprise the SMOS satellite, ground satellite receiving station and data handling system, described SMOS passing of satelline L-band microwave signal is connected with ground satellite receiving station, described data handling system is connected with ground satellite receiving station by signal cable, described system also comprises the GNSS signal source, the GNSS-R receiver, mobile platform and platform control system, described GNSS signal source is connected with the GNSS-R receiver by the L-band microwave signal, described GNSS-R receiver is installed on the mobile platform, be connected with the data analysis disposal system by the intrinsic transmission wave band of land face that not disturbed by other signals, described data analysis disposal system is the computing machine that microwave remote sensing soil moisture analytic system software is installed, described platform control system is the industrial computer that the mobile platform motion control program is installed, be connected with mobile platform by the intrinsic transmission wave band of land face that not disturbed by other signals, described data analysis disposal system is connected with data handling system by data line.
Mobile platform described in the utility model is ground remote sensing platform, aerial remote sensing platform or low orbit satellite.
Compared with prior art, the utlity model has following beneficial effect:
1, because the utility model has been used reflected signal GNSS-R (the GlobalNavigation Satellite System-Reflection) technology of global navigational satellite, on the small scale of this technology for the 50m radius, can obtain the thick soil moisture information of the face of land 0~5cm, the data that basic and SMOS technology are obtained are identical, and are operated in the L-band of suit monitoring soil moisture and inverting; The mode of operation of GNSS-R belongs to the bistatic model of bistatic, and signal source provides free stable source by GNSS Navsat group, so GNSS-R receiver volume is little, in light weight.Therefore it is a kind of with low cost, easy-to-use effective means that the data of utilizing the GNSS-R microwave remote sensing technique that the SMOS technology is obtained are carried out the ground verification, and the real-time synchrodata in ground that can easily GNSS-R be obtained is applied in the checking of the precision evaluation of passive microwave sensor SMOS soil moisture model and inversion algorithm.
2, because spaceborne SMOS technology can be obtained the soil moisture information on the large scale, and the GNSS-R technology can be obtained than the information on the small scale, the two mutually combines, after carrying out the Soil Moisture Inversion algorithm of large scale, need the real-time synchrodata of small scale to carry out the evaluation of model accuracy and the checking of inversion algorithm, utilize the GNSS-R data SMOS data to be carried out the checking of Soil Moisture Inversion algorithm, and correction inversion algorithm, thereby can improve inverting and calculate precision, and then improve and improve the forecast precision of the hydrology and meteorologic model greatly, and provide accurate data for agricultural production and disaster monitoring.
3, the data of utilizing the SMOS technology to obtain owing to the utility model combine with the observation data of GNSS-R technology, can obtain credible, multiple dimensioned soil moisture data simultaneously, pass through Data Management Analysis, realized the microwave remote sensing soil moisture monitoring of main passive combination, land face, atmospherical model have positive and important effect more accurately for setting up.
Description of drawings
2 in the total accompanying drawing of the utility model, wherein:
Fig. 1 is a GNSS-R remote sensing schematic diagram.
Fig. 2 is that microwave remote sensing soil moisture monitoring system is formed synoptic diagram.
Among the figure: 1, GNSS signal source, 2, the GNSS-R receiver, 3, mobile platform, 4, platform control system, 5, the data analysis disposal system, 6, soil, 7, the SMOS satellite, 8, ground satellite receiving station, 9, data handling system.
Embodiment
Below in conjunction with accompanying drawing the utility model is described further.Shown in Fig. 1-2, a kind of microwave remote sensing soil moisture monitoring system, comprise SMOS satellite 7, ground satellite receiving station 8 and data handling system 9, described SMOS satellite 7 is connected with ground satellite receiving station 8 by the L-band microwave signal, described data handling system 9 is connected with ground satellite receiving station 8 by signal cable, described system also comprises GNSS signal source 1, GNSS-R receiver 2, mobile platform 3 and platform control system 4, described GNSS signal source 1 is connected with GNSS-R receiver 2 by the L-band microwave signal, described GNSS-R receiver 2 is installed on the mobile platform 3, be connected with data analysis disposal system 5 by the intrinsic transmission wave band of land face that not disturbed by other signals, described data analysis disposal system 5 is computing machines that microwave remote sensing soil 6 water analysis system softwares are installed, described platform control system 4 is industrial computers that mobile platform 3 motion control program are installed, be connected with mobile platform 3 by the intrinsic transmission wave band of land face that not disturbed by other signals, described data analysis disposal system 5 is connected with data handling system 9 by data line.Described mobile platform 3 is ground remote sensing platform, aerial remote sensing platform or low orbit satellite.
Monitoring method of the present utility model may further comprise the steps:
The L-band microwave signal of A, SMOS satellite 7 passive reception faces of land emission is also passed to ground satellite receiving station 8 with signal data, and by data handling system 9 handle and synchronous transmission to data analysis disposal system 5;
B, GNSS signal source 1 provide the L-band microwave signal, and GNSS-R receiver 2 receives GNSS direct signal and the forward scattering signal that comprises terrestrial object information after ground return, and is transferred to data analysis disposal system 5;
Soil 6 moisture information of the large scale that C, data analysis disposal system 5 will obtain from soil 6 moisture information of the small scale target area that GNSS-R receiver 2 obtains with from data handling system 9 are carried out real-time synchronous processing, and soil 6 moisture information are carried out the checking of precision evaluation and inversion algorithm.

Claims (2)

1. microwave remote sensing soil moisture monitoring system, comprise SMOS satellite (7), ground satellite receiving station (8) and data handling system (9), described SMOS satellite (7) is connected with ground satellite receiving station (8) by the L-band microwave signal, described data handling system (9) is connected with ground satellite receiving station (8) by signal cable, it is characterized in that: described system also comprises GNSS signal source (1), GNSS-R receiver (2), mobile platform (3) and platform control system (4), described GNSS signal source (1) is connected with GNSS-R receiver (2) by the L-band microwave signal, described GNSS-R receiver (2) is installed on the mobile platform (3), be connected with data analysis disposal system (5) by the intrinsic transmission wave band of land face that not disturbed by other signals, described data analysis disposal system (5) is the computing machine that microwave remote sensing soil (6) water analysis system software is installed, described platform control system (4) is the industrial computer that mobile platform (3) motion control program is installed, be connected with mobile platform (3) by the intrinsic transmission wave band of land face that not disturbed by other signals, described data analysis disposal system (5) is connected with data handling system (9) by data line.
2. a kind of microwave remote sensing soil moisture monitoring system according to claim 1 is characterized in that: described mobile platform (3) is ground remote sensing platform, aerial remote sensing platform or low orbit satellite.
CN2010202187062U 2010-06-07 2010-06-07 Microwave remote sensing soil moisture monitoring system Expired - Fee Related CN201754150U (en)

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101865909A (en) * 2010-06-07 2010-10-20 大连海事大学 Microwave remote sensing soil moisture monitoring system and method thereof
CN104267045A (en) * 2014-09-04 2015-01-07 浙江托普仪器有限公司 Wide-area soil moisture content detection system based on wireless network
CN106018439A (en) * 2016-07-05 2016-10-12 吉林大学 Microwave remote sensing soil moisture monitoring system and monitoring method thereof
CN109060843A (en) * 2018-06-29 2018-12-21 西安空间无线电技术研究所 A kind of highly elliptic orbit microwave sounder system
CN110069791A (en) * 2018-01-22 2019-07-30 中国石油化工股份有限公司 A kind of modified laboratory experiment analogy method of scale
US10996179B2 (en) 2019-03-11 2021-05-04 Skaha Remote Sensing Ltd. System and method to detect ground moisture
US11692950B2 (en) * 2019-03-11 2023-07-04 Skaha Remote Sensing Ltd. System and method to detect ground moisture
CN116519913A (en) * 2023-07-03 2023-08-01 中国科学院地理科学与资源研究所 GNSS-R data soil moisture monitoring method based on fusion of satellite-borne and foundation platform

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101865909A (en) * 2010-06-07 2010-10-20 大连海事大学 Microwave remote sensing soil moisture monitoring system and method thereof
CN104267045A (en) * 2014-09-04 2015-01-07 浙江托普仪器有限公司 Wide-area soil moisture content detection system based on wireless network
CN104267045B (en) * 2014-09-04 2017-01-18 浙江托普仪器有限公司 Wide-area soil moisture content detection system based on wireless network
CN106018439B (en) * 2016-07-05 2019-01-18 吉林大学 Microwave remote sensing soil moisture monitoring system and its monitoring method
CN106018439A (en) * 2016-07-05 2016-10-12 吉林大学 Microwave remote sensing soil moisture monitoring system and monitoring method thereof
CN110069791A (en) * 2018-01-22 2019-07-30 中国石油化工股份有限公司 A kind of modified laboratory experiment analogy method of scale
CN110069791B (en) * 2018-01-22 2021-11-02 中国石油化工股份有限公司 Indoor experiment simulation method for scale correction
CN109060843A (en) * 2018-06-29 2018-12-21 西安空间无线电技术研究所 A kind of highly elliptic orbit microwave sounder system
CN109060843B (en) * 2018-06-29 2021-03-26 西安空间无线电技术研究所 Large-ellipse-track microwave vertical detector system
US10996179B2 (en) 2019-03-11 2021-05-04 Skaha Remote Sensing Ltd. System and method to detect ground moisture
US11692950B2 (en) * 2019-03-11 2023-07-04 Skaha Remote Sensing Ltd. System and method to detect ground moisture
CN116519913A (en) * 2023-07-03 2023-08-01 中国科学院地理科学与资源研究所 GNSS-R data soil moisture monitoring method based on fusion of satellite-borne and foundation platform
CN116519913B (en) * 2023-07-03 2023-09-08 中国科学院地理科学与资源研究所 GNSS-R data soil moisture monitoring method based on fusion of satellite-borne and foundation platform

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