CN103347045A - Soil humidity real-time monitoring and shared method based on GNSS-R network - Google Patents

Soil humidity real-time monitoring and shared method based on GNSS-R network Download PDF

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CN103347045A
CN103347045A CN201310215217XA CN201310215217A CN103347045A CN 103347045 A CN103347045 A CN 103347045A CN 201310215217X A CN201310215217X A CN 201310215217XA CN 201310215217 A CN201310215217 A CN 201310215217A CN 103347045 A CN103347045 A CN 103347045A
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soil moisture
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CN103347045B (en
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陈能成
杜文英
严颂华
张伟杰
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Wuhan University WHU
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Abstract

The invention discloses a soil humidity real-time monitoring and shared method based on the GNSS-R network and belongs to the technical field of smart city geographic information services. The method integrates soil humidity monitoring original data obtaining, soil humidity on-line inversion and soil humidity monitoring result real-time publication and solves the problem that an existing soil humidity monitoring method can not achieve on-line calculating and real-time sharing. Compared with the existing soil humidity monitoring method, under the internet environment, the soil humidity real-time monitoring and shared method can efficiently conduct the on-line calculating and the real-time sharing of the soil humidity monitoring result, and provides support for the real-time sharing and interoperability of the soil humidity data.

Description

Soil moisture monitoring and shared method in real time based on the GNSS-R network
Technical field
The invention belongs to wisdom urban geographic information service technology field, relate to the soil moisture monitoring and shared method in real time under a kind of network environment, relate in particular to a kind of soil moisture monitoring and shared method in real time based on the GNSS-R network.
Background technology
Soil moisture is one of main monitored parameters of agricultural environment remote sensing, the multiple dimensioned soil humidity measuring of space-time to the research of surface water circulation and carbon cycle significant [ 1].The GNSS-R technology, even use the technology of carrying out remote sensing monitoring from the different GNSS system signals that comprise GPS of America, Russian GLONASS, European galileo and China Big Dipper navigation etc., strong with high accuracy, continuity, can round-the-clock round-the-clock work etc. feature be widely used.The GNSS-R technology also have aspect the soil moisture monitoring huge advantage [ 2].
In past 10 years, around using GNSS-R technical monitoring soil moisture, Chinese scholars has been carried out big quantity research.2000, people such as Masters are related space base transducer for how, the GPS receiver reflectance signal of improvement and the relation between the soil moisture has been done for the first time attempted, proved the possibility of using bistatic GPS radar remote measurement soil moisture [ 3].2002 to 2005, the NASA of US National Aeronautics and Space Administration and University of Colorado use carried out aspect the GNSS-R technical monitoring soil moisture a series of experiments [ 4, 5].2008, Egido and Ruffini use open loop receiver Oceanpal to receive simultaneously directly and reflected signal and set up signal and soil moisture between relation [ 6].People such as Saleh adopted in 2009 the inversion method of " two steps were walked " overcome unknown roughness of ground surface to the limitation of soil moisture monitoring influence [ 7].People such as Larson proved in 2010: if consider transmission depth, the signal to noise ratio (snr) data of the geodetic quality of GPS receiver can be used for inverting near surface soil water content [ 1].
But also there are problems in the method for above-mentioned application GNSS-R technical monitoring soil moisture, mainly shows following two aspects:
(1) observation is isolated, lacks and shares and interoperability
The observation of current use GNSS-R commercial measurement soil moisture is isolated, and a plurality of researchers carry out the collecting work of same information at one time in the scope to the same area, certainly will cause the waste of time and resource.In addition, current soil humidity detection result type is various, and same result expresses in a different manner, causes cross-cutting worker to understand difficulty, and sharing with interoperability on the network more is difficult to realize.
(2) inversion principle complexity, the artificial participation of process is many
When cross-domain use, sometimes only need to know final soil moisture monitor value, and need not to pay close attention to concrete refutation process.Principle, algorithm and model that the current soil humidity retrieval adopts are very complicated, and refutation process also needs a lot of artificial participations, layman's indigestion and operation.Therefore need the soil moisture monitoring method that a kind of layman also can use badly.Can adopt service with concrete soil moisture inversion algorithm encapsulation, the user only need carry out simple input operation, and need not to know its internal structure, also need not too much participation, just can obtain corresponding soil moisture monitor value.
Sensor network (Sensor Web) has been realized discovery, visit, task customization, event issue and the early warning of sensor resource (comprising sensor resource and sensing system resource) in a kind of mode of standard, be the infrastructure that the sensor resource interoperability is used, also can be used as a kind of mode of from transducer, gathering observation data in real time [ 8].Since two thousand three, the process sensor network enables a series of effort of (SWE) project team, and open geographic information alliance (OGC) has developed and comprised transducer modeling language SensorML[ 9], observation with the measurement O﹠amp; M2.0[ 10], sensing Netcom is with data model SWE Common2.0[ 11] at interior three information models with comprise transducer planning service SPS[ 12], sensors observe service SOS[ 13], transducer early warning service SAS[ 14] and network notification service WNS[ 15] in four interior service regulations.The combination of above-mentioned information model, service regulation and GNSS-R technology, make soil moisture under the network environment resolve and share become possible [ 16].
Document 1:Larson, K.M., J.J.Braun, E.E.Small, V.U.Zavorotny, E.D.Gutmann, and A.L.Bilich, 2010.GPS multipath and its relation to near-surface soil moisture content, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3 (1): 91-99.
Document 2:Jin, S.G.and A.Komjathy, 2010.GNSS reflectometry and remote sensing:New objectives and results, Advances in Space Research, 46 (2): 111-117.
Document 3:Masters, D., V.U.Zavorotny, S.J.Katzberg, and W.J.Emery, 2000.GPS Signal Scattering from Land for Moisture Content Determination, Geoscience and Remote Sensing Symposium, 24-28Jul2000, Honolulu, HI, pp.3090-3092.
Document 4:Masters, D.S., 2004.Surface Remote Sensing Applications of GNSS Bistatic Radar:Soil Moisture and Aircraft Altimetry, Ph.D.dissertation, University of Colorado, Denver, 223p.
Document 5:Masters, D., P.Axelrad, and S.Katzberg, 2004.Initial results of land-reflected GPS bistatic radar measurements in SMEX02, Remote Sensing of Environment, 92 (4): 507-520.
Document 6:Egido A., G.Ruffini, M.Caparrini, C.Mart í n, E.Farr é s and X.Banqu é, 2008.Soil Moisture Monitorization Using GNSS Reflected Signals[C], 1ST Colloquium Scientific and Fundamental Aspects of the Galileo Programme, arXiv:0805.1881[physics.geo-ph].
Document 7:Saleh, K., Y.H.Kerr, P.Richaume, M.J.Escorihuela, R.Panciera, S.Delwart, G.Boulet, P.Maisongrande, J.P.Walker, P.Wursteisen, and J.P.Wigneron, 2009.Soil moisture retrievals at L-band using a two-step inversion approach (COSMOS/NAFE'05Experiment), Remote Sensing of Environment, 113 (6): 1304-1312.
Document 8:
Figure BDA00003284181900031
A., J.Echterhoff, S.Jirka, I.Simonis, T.Everding, C.Stasch, S.Liang and R.Lemmens, 2011.New Generation Sensor Web Enablement, Sensors, 11 (3): 2652-2699.
Document 9:Botts, M.and A.Robin, 2007.
Figure BDA00003284181900032
Sensor Model Language Implementation Specification (version1.0.0) .Open Geospatial Consortium (OGC), Inc., Wayland, Mass.Report07-000.
Document 10:Cox, S., 2011.Observations and Measurements-XML Implementation (Version2.0) .Open Geospatial Consortium (OGC), Inc., Wayland, Mass.Report OGC10-025r1.
Document 11:Alexandre, R., 2011.
Figure BDA00003284181900033
Common Data Model Encoding Standard (Version2.0.0) .Open Geospatial Consortium (OGC), Inc., Wayland, Mass.Report08-094r1.
Document 12:Simonis, I.2007. Sensor Planning Service Implementation Specification (Version1.0) .Open Geospatial Consortium (OGC), Inc., Wayland, Mass.Report07-014r3.
Document 13:Na, A.and M.Priest, 2007.Sensor Observation Service (version 1.0) .Open Geospatial Consortium (OGC), Inc., Wayland, Mass.Report06-009r6.
Document 14:Simonis, I.and J.Echterhoff, 2007.
Figure BDA00003284181900041
Sensor Alert Service Implementation Specification (Version0.9.0) .Open Geospatial Consortium (OGC), Inc., Wayland, Mass.Report06-028r5.
Document 15:Simonis, I., and Wytzisk, Notification Service (Version 0.1.0) .Open Geospatial Consortium (OGC) A.2003.Web, Inc., Wayland, Mass.Report03-008r2.
Document 16:Chen, N.C., D.R.Li, L.P.Di, J.Y.Gong, 2010.An automatic SWILC classification and extraction for the AntSDI under a Sensor Web environment, Canadian Journal of Remote Sensing, 36 (S1): S1-S12.
Summary of the invention
Deficiency at the prior art existence, GNSS-R network and sensing network technology are merged in the present invention, propose a kind of soil moisture monitoring and shared method in real time based on the GNSS-R network, thereby can realize the on-line real time monitoring of soil moisture and the network real-time release of monitoring result.
In order to solve the problems of the technologies described above, the present invention adopts following technical scheme:
One, a kind of soil moisture based on GNSS-R network monitoring and shared method in real time integrates that soil moisture monitoring initial data is obtained, soil moisture is in the real-time release of line inversion and soil moisture monitoring result, comprises step:
Step 1, adopt the GNSS-R receiving equipment to obtain soil moisture in the line inversion initial data, described soil moisture is drawn together satellite numbering, satellite altitude angle, signal reception time, satellite direct wave Signal-to-Noise and soil reflection wave signal signal to noise ratio in the line inversion raw data packets;
Step 2 in the line inversion initial data, adopts soil moisture to obtain the real-time monitoring result of soil moisture in the line inversion service based on soil moisture, and described soil moisture is served processing service Network Based and GNSS-R soil moisture inverse model structure in line inversion;
Step 3, the real-time monitoring result of soil moisture Real-Time Sharing service real-time release soil moisture, described soil moisture Real-Time Sharing service is based on the sensors observe service construction.
Described GNSS-R receiving equipment comprises GPS receiver, left-hand circular polarization antenna and right-handed circular polarization antenna, left-hand circular polarization antenna and described right-handed circular polarization antenna arrangements are in same place, left-hand circular polarization antenna and right-handed circular polarization antenna pass to the GPS receiver with the signal that receives, wherein, the right-handed circular polarization antenna is parallel to ground, is mainly used to receive the direct wave signal of gps satellite; The oblique directed towards ground of left-hand circular polarization antenna, and become 0~90 ° of angle with ground, be mainly used in receiving the soil reflected signal.
Above-mentioned soil moisture is specially at the structure of line inversion service:
Based on the network processes service, inherit respective class in the network processes service, and in this respective class, write GNSS-R soil moisture inversion algorithm.
Above-mentioned soil moisture transfers to soil moisture by soil moisture in line inversion service request module in the line inversion initial data and carries out soil moisture in line inversion in the line inversion service.Wherein, soil moisture makes up at line inversion service request module processing service request Network Based.
The real-time monitoring result of above-mentioned soil moisture outputs to the service of soil moisture Real-Time Sharing by soil moisture in line inversion service response module and inserts data demand module, and the service of soil moisture Real-Time Sharing is inserted data demand module the real-time monitoring result of the soil moisture of obtaining is inserted the service of soil moisture Real-Time Sharing.Wherein, soil moisture makes up at line inversion service response module processing service request Network Based, and the service of soil moisture Real-Time Sharing is inserted data demand module and made up based on the sensors observe service request.
The structure of above-mentioned soil moisture Real-Time Sharing service is specially:
(1) requires to make up GNSS-R virtual-sensor information model according to OGC transducer modeling language, and finish the registration of GNSS-R virtual-sensor;
(2) make up the mapping that soil moisture is inserted data demand module in line inversion service response module to the service of soil moisture Real-Time Sharing, described soil moisture makes up at line inversion service response module processing service request Network Based, is used for obtaining the real-time monitoring result of soil moisture and output from soil moisture in the line inversion service; Described soil moisture Real-Time Sharing service is inserted data demand module and is made up based on the sensors observe service request, is used for obtaining soil moisture and inserts the service of soil moisture Real-Time Sharing in the monitoring result of line inversion service response module output and with monitoring result.
The real-time monitoring result of above-mentioned soil moisture Real-Time Sharing service real-time release soil moisture is specially:
The service of soil moisture Real-Time Sharing is obtained data demand module and is sent request to the service of soil moisture Real-Time Sharing, the content of obtaining data demand module is served in the service of soil moisture Real-Time Sharing according to the soil moisture Real-Time Sharing, the soil moisture monitor value of correspondence is obtained the data respond module by the service of soil moisture Real-Time Sharing return, the user just can be on network serves by the soil moisture Real-Time Sharing and obtain the data respond module and obtain the soil moisture Monitoring Data in real time this moment.
Two, a kind of GNSS-R equipment, comprise GPS receiver, left-hand circular polarization antenna and right-handed circular polarization antenna, left-hand circular polarization antenna and described right-handed circular polarization antenna arrangements are in same place, and left-hand circular polarization antenna and right-handed circular polarization antenna pass to the GPS receiver with the signal that receives.Wherein, the right-handed circular polarization antenna is parallel to ground, is mainly used to receive the direct wave signal of gps satellite; The oblique directed towards ground of left-hand circular polarization antenna, and become 0~90 ° of angle with ground, be mainly used in receiving the soil reflected signal.
Described left-hand circular polarization antenna and ground angulation are preferably 30 °.
Compared with prior art, the present invention has the following advantages and good effect:
1, realized the online real time inversion of soil moisture.
The present invention is packaged in the basic principle of soil moisture inverting and algorithm and obtains soil moisture real-time online inverting service in the network processes service, satellite altitude angle, direct wave and the soil reflection wave signal signal to noise ratio that only need provide GNSS-R equipment to obtain, the real-time monitor value of corresponding soil moisture can be calculated and export to soil moisture real-time online inverting service in real time.Need not to know concrete principle and the algorithm of inverting, also can obtain the soil moisture monitor value in real time, quickly and easily.Therefore, the present invention obtains the mode of soil moisture monitor value for the layman provides a kind of excellent real-time.
2, support the network real-time release of soil moisture monitoring result.
At present, the soil moisture monitoring is isolated, does things in his own way, and has caused the waste of much repeated work and human and material resources and financial resources, and the present invention can realize the network real-time release of soil moisture monitoring result.The present invention adopts the mode of a kind of standard and interoperability to carry out the real-time release of soil moisture monitoring result with shared, avoided the ambiguity in the multi-form expression of same vocabulary, made things convenient for sharing of different inter-sectional information, reduce the unnecessary duplication of labour, also saved ample resources and energy consumption simultaneously.
Description of drawings
Fig. 1 is the frame construction drawing of the inventive method;
Fig. 2 is GNSS-R equipment schematic diagram;
Fig. 3 is that soil moisture is described in the execution request of line inversion service;
Fig. 4 is that soil moisture is described in the response of line inversion service execution;
Fig. 5 is that GNSS-R virtual-sensor information model is described;
Fig. 6 is soil moisture monitoring result description figure;
Fig. 7 is based on the soil moisture inverting service client of GNSS-R network and describes.
Embodiment
Can realize the soil moisture Monitoring Data online resolve and Real-Time Sharing for avoid the duplication of labour, the energy consumption that economizes on resources and share in time that information has very important meaning between all departments.The present invention has realized the soil moisture real-time resolving based on the GNSS-R network, and the user only need carry out specific input operation, just can obtain the real time inversion result of corresponding soils humidity, and need not to know its concrete handling principle and details; Simultaneously, the present invention also provides the mode of a kind of standard and interoperability to realize the network Real-Time Sharing of soil moisture monitoring result, has solved information transmission difficulty and the problem that has information island between current all departments.
The invention will be further described below in conjunction with the drawings and specific embodiments.
Fig. 1 is concrete frame diagram of the present invention.The inventive method specifically comprises step:
Step 1, adopt the GNSS-R receiving equipment to obtain soil moisture in the line inversion initial data, described soil moisture is drawn together satellite numbering, satellite altitude angle, signal reception time, satellite direct wave Signal-to-Noise and soil reflection wave signal signal to noise ratio in the line inversion raw data packets.
This concrete GNSS-R receiving equipment of implementing to adopt comprises GPS receiver, left-hand circular polarization antenna and right-handed circular polarization antenna, and left-hand circular polarization antenna and right-handed circular polarization antenna pass to the GPS receiver with the signal that receives.The GPS receiver is specially the commercial GPS receiver LEA-4T that performance is good, volume is little, cost is low.Left-hand circular polarization antenna and right-handed circular polarization antenna arrangements are in same place, and wherein, the right-handed circular polarization antenna is parallel to ground, are used for receiving the direct wave signal of gps satellite; The left-hand circular polarization antenna becomes 0~90 ° of angle with ground, and oblique directed towards ground, is used for receiving the soil reflected signal.In this concrete enforcement, left-hand circular polarization antenna and ground angulation are set to 30 °.The setting of left-hand circular polarization antenna and right-handed circular polarization antenna, soil reflected signal and satellite direct signal by atmosphere during with ionosphere through identical path, can be by the decay that causes in reflection and the power ratio erasure signal transmission course of direct signal, thus the raising inversion accuracy.
The soil moisture that is used for that left-hand circular polarization antenna and right-handed circular polarization antenna will obtain is given the GPS receiver in the original data transmissions of line inversion, the GPS receiver can be by USB interface with the original data transmissions that receives to computer, the initial data that Computer Storage receives.In this concrete enforcement, the initial data of obtaining by left-hand circular polarization antenna and right-handed circular polarization antenna specifically comprises satellite numbering, satellite altitude angle, signal reception time, satellite direct wave Signal-to-Noise and soil reflection wave signal signal to noise ratio.
Step 2, the soil moisture of obtaining based on step 1 is in the line inversion initial data, adopt soil moisture to obtain the real-time monitoring result of soil moisture in the line inversion service, described soil moisture is based on network processes service and GNSS-R soil moisture inverse model and makes up in the line inversion service.
In this step, adopt network processes service packing GNSS-R soil moisture inversion algorithm, can make up soil moisture in the line inversion service.Soil moisture is as follows at the concrete building process of line inversion service:
Based on 52 ° of North network processes services, inherit respective class in 52 ° of North network processes services, be specially the AbstractSelfDescribingAlgorithm class, and in such, write the soil moisture inversion algorithm; Then, in the configuration file of 52 ° of North network processes services, add soil moisture inversion algorithm class position, so that the soil moisture inversion algorithm can be automatically recognized and call.
The present invention by soil moisture line inversion service request module with soil moisture the line inversion original data transmissions to soil moisture in the line inversion service.
Make up soil moisture in line inversion service request module according to OGC network processes service request, be specially:
(1) please seek template according to OGC network processes service request predefine xml form, comprise in order to identify the required ows:Identifier element that calls the algorithm title, in order to the wps:Input element that indicates input parameter title, value type, value with in order to the title that indicates output parameter and the wps:Output element of value type, and please seeking template of predefined xml form placed server end.In this concrete enforcement, the input parameter in please seeking template comprises satellite numbering, satellite altitude angle, signal reception time, satellite direct wave Signal-to-Noise and soil reflection wave signal signal to noise ratio; Output parameter is soil moisture.
(2) in browser, the soil moisture that the Javascript script obtains according to step 1 is revised please seeking template of predefined xml form in the line inversion initial data, namely, the soil moisture of obtaining to request template input is in the line inversion initial data, and increase the wps:Input element according to number of parameters in the input data, title, value type and the value of each parameter correspondence transferred to relevant position in the wps:Input element automatically.
Among the present invention, send request to soil moisture in the line inversion service in line inversion service request module by soil moisture, and the soil moisture of obtaining is sent to soil moisture in the line inversion service in the line inversion initial data, soil moisture is calculated in the line inversion initial data according to soil moisture in the line inversion service and is obtained the soil moisture monitoring result, and soil moisture is obtained soil moisture monitoring result and output in line inversion service response module.
Soil moisture equally also is based on OGC network processes service request in line inversion service response module and makes up, and is specially:
(3) according to the response template of OGC network processes service request predefine xml form, comprise the ows:Identifier element in order to the sign algorithm title of calling, in order to indicating the wps:Output element of output parameter title, parameter value type and parameter value, and predefined response template is placed server end.In this concrete enforcement, the output parameter in the described response template is soil moisture.
(4) in browser, the Javascript script imports soil moisture in the wps:Output element of response template relevant position automatically in the soil moisture monitoring result of line inversion service compute, and preserves.
In this step, specifically reflectivity-complex dielectric permittivity model and complex dielectric permittivity-soil moisture model are packaged as online soil moisture inverting service, and obtain the soil moisture inversion result in real time by the online soil moisture inverting service of packing.
Above-mentioned reflectivity-complex dielectric permittivity model is as follows:
ϵ 1 2 sin 2 γ ( 1 - Γ 1 + Γ ) 2 - ϵ r + cos 2 γ = 0 - - - ( 1 )
Γ=10 (SNR1-SNR2)/20(2)
Wherein, ε rBe the soil complex dielectric permittivity, γ is the satellite altitude angle, and Γ is Fresnel reflection coefficient, and SNR1 and SNR2 are respectively soil reflection wave signal signal to noise ratio and gps satellite direct wave Signal-to-Noise.
Above-mentioned complex dielectric permittivity-soil moisture model is as follows:
ε r=2.862-0.012S+0.001C+(3.803+0.462S-0.341C)m v+(119.006-0.500S+0.633C)
Figure BDA00003284181900093
(3)
Wherein, ε rBe soil complex dielectric permittivity, m vBe soil mass humidity, S is the soil silt content, and C is soil argillaceous amount.
Silt content in the soil and argillaceous amount have a difference according to soil types is different, and known soil types can be known silt content and the argillaceous amount of this soil.Table 1 has been listed silt content and the argillaceous amount in the Different Soil.
Table 1 different soils type contains husky and clay amount percentage
Figure BDA00003284181900092
Reflectivity-complex dielectric permittivity model and complex dielectric permittivity-soil moisture model are packaged as online soil moisture inverting service, only need soil moisture is flowed to online soil moisture inverting service in real time in the line inversion initial data, and can obtain the soil moisture monitoring result.Fig. 3 and Fig. 4 are that soil moisture is described in execution request and the response of line inversion service.
Adopting soil moisture to obtain the real-time monitoring result of soil moisture in the line inversion service mainly may further comprise the steps:
(1) the line inversion initial data, obtains satellite direct wave Signal-to-Noise and soil reflection wave signal signal to noise ratio from soil moisture, and obtain Fresnel reflection coefficient;
(2) the line inversion initial data, obtain the satellite altitude angle from soil moisture, based on satellite altitude angle and Fresnel reflection coefficient, adopt reflectivity-complex dielectric permittivity model to calculate and obtain the soil complex dielectric permittivity;
(3) according to soil complex dielectric permittivity and soil types, adopt complex dielectric permittivity-soil moisture model inversion to obtain soil moisture.
Step 3, the real-time monitoring result of soil moisture that soil moisture Real-Time Sharing service real-time release step 2 is obtained, described soil moisture Real-Time Sharing service is based on the sensors observe service construction.
The final purpose of sensors observe service is the observation data of release sensor, realizes sharing.Realize the issue of sensors observe data, at first needing at the present invention, namely needs sensor information registration warehouse-in GNSS-R virtual-sensor information model is registered into database; Then, the sensors observe data message could be inserted database, at the present invention, namely be that the real-time monitoring result of soil moisture is inserted database; At last, the download by obtaining data in the request of data fulfillment database and sharing.
The constructed soil moisture Real-Time Sharing service of the present invention is the sensors observe service, the effect of constructed soil moisture Real-Time Sharing service has: the one, and data set provider is based on soil moisture Real-Time Sharing service registry sensor information, then by inserting request of data release sensor data; The 2nd, the data consumer can obtain request of data by transmission and obtain data from the service of soil moisture Real-Time Sharing.
The structure of soil moisture Real-Time Sharing service is specially:
(1) requires to make up GNSS-R virtual-sensor information model according to OGC transducer modeling language, and finish the registration of GNSS-R virtual-sensor.
(2) make up the mapping that soil moisture is inserted data demand module in line inversion service response module to the service of soil moisture Real-Time Sharing, this step comprises following substep:
2-1 is mapped to the type Quantity in the soil moisture Real-Time Sharing service insertion data demand module with the value type double of soil moisture output parameter in line inversion service response module;
2-2 is mapped to the service of soil moisture Real-Time Sharing with the parameter value of soil moisture output parameter in the wps:Output element of line inversion service response module and inserts in the swe:values element of om:result element of data demand module.
The real-time monitor value of soil moisture that soil moisture is obtained in line inversion service response module inserts data demand module by the service of soil moisture Real-Time Sharing and inserts the service of soil moisture Real-Time Sharing.
The service of soil moisture Real-Time Sharing is inserted data demand module and is made up according to OGC sensors observe service request, be specially: according to the insertion request of data template of the good XML form of OGC sensors observe service request predefine, mainly comprise: transducer (procedure), observation time (Time), observation attribute (Property) and observed result key elements such as (Result), and be positioned over server end.
Make up the service of soil moisture Real-Time Sharing based on OGC sensors observe service request equally and obtain data demand module, be specially:
(3) obtain the request of data template according to OGC sensors observe service standard predefine xml form, mainly comprise: sensor identification (SensorID), observation time (eventTime), transducer (procedure), sampling point position (SamplingPoint), observation attribute (observedProperty) and observe attribute unit's key elements such as (Unitof Measurement), and the request of data template of obtaining of predefined xml form is placed server end.In this concrete enforcement, the observation attribute is soil moisture.
(4) in browser, according to the actual requirements, adopt the Javascript script to revise the time element that obtains the observation data in the request of data template.In the practical application, what we need ask is the soil moisture monitor value of particular moment, and predefined other data do not change in time in the request of data template, therefore only this particular moment need be imported in the eventTime element to get final product.
Make up the service of soil moisture Real-Time Sharing based on OGC sensors observe service request and obtain the data respond module, be specially:
(5) obtain the data response template according to OGC sensors observe service standard predefine xml form, mainly comprise: observation time (eventTime), sampling point position (SamplingPoint), observation property value (Value) and observation attribute unit key elements such as (Unit of Measurement), and be placed on server end.In this concrete enforcement, the observation attribute is soil moisture.
(6) soil moisture is write the relevant position that obtains the data response template in the soil moisture monitoring result that the line inversion service obtains.
In this step, the real-time monitor value of soil moisture that soil moisture is obtained in line inversion service response module inserts data demand module by the service of soil moisture Real-Time Sharing and inserts the service of soil moisture Real-Time Sharing; The service of soil moisture Real-Time Sharing is obtained data demand module and is sent request to the service of soil moisture Real-Time Sharing, the numerical value in the eventTime element that obtains data demand module is served in the service of soil moisture Real-Time Sharing according to the soil moisture Real-Time Sharing, the soil moisture monitor value of correspondence is obtained the data response modes by the service of soil moisture Real-Time Sharing to be returned, this moment, the user just can obtain the soil moisture Monitoring Data in real time on network, and final the realization shared.
This step is based on sensors observe service development soil moisture real-time release and shared platform, use the transducer modeling language that the GNSS-R virtual-sensor is carried out modeling, and with step 2 gained soil moisture monitoring result with observation with measure coded system and encode, realize the real-time release of soil moisture with shared, and with the form of dynamic figure the result is showed.
In this concrete enforcement, GNSS-R virtual-sensor information model mainly comprises transducer descriptor and platform descriptor two parts.The transducer descriptor mainly comprises information such as sign, description, input and output, potential application and relevant unit's contact method, and the platform descriptor then mainly comprises identification information, descriptor, module information etc., specifically describes to see Fig. 5.Soil moisture monitoring coding result mainly comprises aspects such as sampling time, sampling position, employed instrument and monitoring result, specifically describes and sees Fig. 6.
At the real-time soil moisture Monitoring Data of obtaining, the present invention also provides the display platform in order to real-time exhibition soil moisture.On the one hand, real-time soil moisture monitoring result value is shown with dynamic figure in chronological order; On the other hand, call the map API of Baidu, be presented at during with fructufy on Baidu's map.Result's direct displaying so not only is provided, and has provided convenience in the use of other field for the soil moisture monitoring result.
The present invention is by to definition, series connection and the realization of soil moisture in the service of line inversion service and soil moisture Real-Time Sharing, realizes that finally the real-time online inverting of soil moisture and the real-time release of monitoring result share.
Specific embodiment described herein only is that the present invention's spirit is illustrated.Those skilled in the art can make various modifications or replenish or adopt similar mode to substitute described concrete enforcement, but can't depart from spirit of the present invention or surmount the defined scope of appended claims.

Claims (9)

1. one kind based on the monitoring and shared method in real time of the soil moisture of GNSS-R network, it is characterized in that, integrates that soil moisture monitoring initial data is obtained, soil moisture is in the real-time release of line inversion and soil moisture monitoring result, comprises step:
Step 1, adopt the GNSS-R receiving equipment to obtain soil moisture in the line inversion initial data, described soil moisture is drawn together satellite numbering, satellite altitude angle, signal reception time, satellite direct wave Signal-to-Noise and soil reflection wave signal signal to noise ratio in the line inversion raw data packets;
Step 2 in the line inversion initial data, adopts soil moisture to obtain the real-time monitoring result of soil moisture in the line inversion service based on soil moisture, and described soil moisture is served processing service Network Based and GNSS-R soil moisture inverse model structure in line inversion;
Step 3, the real-time monitoring result of soil moisture Real-Time Sharing service real-time release soil moisture, described soil moisture Real-Time Sharing service is based on the sensors observe service construction.
2. the soil moisture monitoring and shared method in real time based on the GNSS-R network as claimed in claim 1 is characterized in that:
Described GNSS-R receiving equipment comprises GPS receiver, left-hand circular polarization antenna and right-handed circular polarization antenna, left-hand circular polarization antenna and described right-handed circular polarization antenna arrangements are in same place, left-hand circular polarization antenna and right-handed circular polarization antenna pass to the GPS receiver with the signal that receives, wherein, the right-handed circular polarization antenna is parallel to ground, is mainly used to receive the direct wave signal of gps satellite; The oblique directed towards ground of left-hand circular polarization antenna, and become 0 ~ 90 ° of angle with ground, be mainly used in receiving the soil reflected signal.
3. the soil moisture monitoring and shared method in real time based on the GNSS-R network as claimed in claim 1 is characterized in that:
Described soil moisture is specially at the structure of line inversion service:
Based on the network processes service, inherit respective class in the network processes service, and in this respective class, write GNSS-R soil moisture inversion algorithm.
4. the soil moisture monitoring and shared method in real time based on the GNSS-R network as claimed in claim 1 is characterized in that:
Described soil moisture transfers to soil moisture by soil moisture in line inversion service request module in the line inversion initial data and carries out soil moisture in line inversion in the line inversion service, wherein, soil moisture makes up at line inversion service request module processing service request Network Based.
5. the soil moisture monitoring and shared method in real time based on the GNSS-R network as claimed in claim 1 is characterized in that:
The real-time monitoring result of described soil moisture exports the service of soil moisture Real-Time Sharing by soil moisture in line inversion service response module and inserts data demand module, the service of soil moisture Real-Time Sharing is inserted data demand module the real-time monitoring result of the soil moisture of obtaining is inserted the service of soil moisture Real-Time Sharing, wherein, soil moisture makes up at line inversion service response module processing service request Network Based, and the service of soil moisture Real-Time Sharing is inserted data demand module and made up based on the sensors observe service request.
6. the soil moisture monitoring and shared method in real time based on the GNSS-R network as claimed in claim 1 is characterized in that:
The structure of described soil moisture Real-Time Sharing service is specially:
(1) requires to make up GNSS-R virtual-sensor information model according to OGC transducer modeling language, and finish the registration of GNSS-R virtual-sensor;
(2) make up the mapping that soil moisture is inserted data demand module in line inversion service response module to the service of soil moisture Real-Time Sharing, wherein, soil moisture makes up at line inversion service response module processing service request Network Based, is used for obtaining the real-time monitoring result of soil moisture and output from soil moisture in the line inversion service; The service of soil moisture Real-Time Sharing is inserted data demand module and is made up based on the sensors observe service request, is used for obtaining soil moisture and inserts the service of soil moisture Real-Time Sharing in the monitoring result of line inversion service response module output and with monitoring result.
7. the soil moisture monitoring and shared method in real time based on the GNSS-R network as claimed in claim 1 is characterized in that:
The real-time monitoring result of described soil moisture Real-Time Sharing service real-time release soil moisture is specially:
The service of soil moisture Real-Time Sharing is obtained data demand module and is sent request to the service of soil moisture Real-Time Sharing, the content of obtaining data demand module is served in the service of soil moisture Real-Time Sharing according to the soil moisture Real-Time Sharing, the soil moisture monitor value of correspondence is obtained the data respond module by the service of soil moisture Real-Time Sharing return, the user just can be on network serves by the soil moisture Real-Time Sharing and obtain the data respond module and obtain the soil moisture Monitoring Data in real time this moment.
8. a GNSS-R receiving equipment is characterized in that, comprising:
Comprise GPS receiver, left-hand circular polarization antenna and right-handed circular polarization antenna, left-hand circular polarization antenna and described right-handed circular polarization antenna arrangements are in same place, left-hand circular polarization antenna and right-handed circular polarization antenna pass to the GPS receiver with the signal that receives, wherein, the right-handed circular polarization antenna is parallel to ground, is mainly used to receive the direct wave signal of gps satellite; The oblique directed towards ground of left-hand circular polarization antenna, and become 0 ~ 90 ° of angle with ground, be mainly used in receiving the soil reflected signal.
9. GNSS-R receiving equipment as claimed in claim 8 is characterized in that:
Described left-hand circular polarization antenna becomes 30 ° of angles with ground.
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Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104020180A (en) * 2014-06-19 2014-09-03 武汉大学 Soil humidity inversion method based on low elevation signal received by Beidou base station
CN104677921A (en) * 2015-02-11 2015-06-03 北京航空航天大学 Temperature sensor assisted GNSS-R (Global Navigation Satellite System-Reflection) soil moisture detection device
CN104678078A (en) * 2015-02-11 2015-06-03 北京航空航天大学 Soil humidity calibrating and measuring method based on global positioning system (GPS) reflected signal
CN105277575A (en) * 2015-11-23 2016-01-27 武汉大学 Method for estimating soil humidity through GPS signal-to-noise ratio grade data
CN106093339A (en) * 2016-05-23 2016-11-09 北京航空航天大学 A kind of soil humidity measuring method interfering power peak-to-valley value based on GNSS
CN110673147A (en) * 2019-10-16 2020-01-10 西安科技大学 Post-flood evaluation method
CN110672640A (en) * 2019-11-13 2020-01-10 武汉大学 Soil humidity estimation method and device for vegetation coverage area
CN111122657A (en) * 2019-12-11 2020-05-08 武汉大学 Soil humidity sensing method under foundation GNSS-R vegetation by utilizing three-channel receiver
CN111337553A (en) * 2020-03-13 2020-06-26 山东航向电子科技有限公司 Contact type soil humidity measuring method based on navigation satellite signals
CN114167033A (en) * 2021-12-06 2022-03-11 北京大学 GNSS-R based soil humidity inversion method, device, medium and computing equipment
CN114545448A (en) * 2022-02-17 2022-05-27 北京卫星信息工程研究所 Satellite-borne GNSS-R/S integrated receiving system and ocean intelligent detection method

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6763384B1 (en) * 2000-07-10 2004-07-13 International Business Machines Corporation Event-triggered notification over a network
CN202385299U (en) * 2011-12-14 2012-08-15 北京时代凌宇科技有限公司 Mobile environment monitor system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6763384B1 (en) * 2000-07-10 2004-07-13 International Business Machines Corporation Event-triggered notification over a network
CN202385299U (en) * 2011-12-14 2012-08-15 北京时代凌宇科技有限公司 Mobile environment monitor system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
严颂华,张训械: "基于GNSS-R信号的土壤湿度反演研究", 《电波科学学报》, vol. 25, no. 1, 10 September 2010 (2010-09-10) *

Cited By (14)

* Cited by examiner, † Cited by third party
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CN104020180A (en) * 2014-06-19 2014-09-03 武汉大学 Soil humidity inversion method based on low elevation signal received by Beidou base station
CN104677921A (en) * 2015-02-11 2015-06-03 北京航空航天大学 Temperature sensor assisted GNSS-R (Global Navigation Satellite System-Reflection) soil moisture detection device
CN104678078A (en) * 2015-02-11 2015-06-03 北京航空航天大学 Soil humidity calibrating and measuring method based on global positioning system (GPS) reflected signal
CN105277575A (en) * 2015-11-23 2016-01-27 武汉大学 Method for estimating soil humidity through GPS signal-to-noise ratio grade data
CN105277575B (en) * 2015-11-23 2017-09-26 武汉大学 A kind of method that soil moisture estimation is carried out using GPS signal to noise ratio level data
CN106093339A (en) * 2016-05-23 2016-11-09 北京航空航天大学 A kind of soil humidity measuring method interfering power peak-to-valley value based on GNSS
CN110673147A (en) * 2019-10-16 2020-01-10 西安科技大学 Post-flood evaluation method
CN110672640A (en) * 2019-11-13 2020-01-10 武汉大学 Soil humidity estimation method and device for vegetation coverage area
CN110672640B (en) * 2019-11-13 2020-07-10 武汉大学 Soil humidity estimation method and device for vegetation coverage area
CN111122657A (en) * 2019-12-11 2020-05-08 武汉大学 Soil humidity sensing method under foundation GNSS-R vegetation by utilizing three-channel receiver
CN111337553A (en) * 2020-03-13 2020-06-26 山东航向电子科技有限公司 Contact type soil humidity measuring method based on navigation satellite signals
CN114167033A (en) * 2021-12-06 2022-03-11 北京大学 GNSS-R based soil humidity inversion method, device, medium and computing equipment
CN114545448A (en) * 2022-02-17 2022-05-27 北京卫星信息工程研究所 Satellite-borne GNSS-R/S integrated receiving system and ocean intelligent detection method
CN114545448B (en) * 2022-02-17 2023-03-10 北京卫星信息工程研究所 Satellite-borne GNSS-R/S integrated receiving system and ocean intelligent detection method

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