CN107247690A - Estimate the method and service terminal of temperature - Google Patents

Estimate the method and service terminal of temperature Download PDF

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CN107247690A
CN107247690A CN201710434299.5A CN201710434299A CN107247690A CN 107247690 A CN107247690 A CN 107247690A CN 201710434299 A CN201710434299 A CN 201710434299A CN 107247690 A CN107247690 A CN 107247690A
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temperature
sea level
height above
above sea
temperature value
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CN107247690B (en
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王宏伟
祁元
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Northwest Institute of Eco Environment and Resources of CAS
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Cold and Arid Regions Environmental and Engineering Research Institute of CAS
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
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    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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    • G01MEASURING; TESTING
    • G01WMETEOROLOGY
    • G01W1/00Meteorology
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Abstract

The present invention relates to meteorological technical field, specifically related to a kind of method and service terminal for estimating temperature, the method of the estimation temperature is applied to service terminal, and the method for the estimation temperature is included according to satellite remote sensing inverting surface temperature and digital elevation model, the temperature lapse rate of pixel where calculating.The temperature lapse rate of pixel where the temperature value measured according to the meteorological site in actual height above sea level and the meteorological site, calculates the meteorological site in the first estimation temperature value of the predetermined height above sea level.Set up regression model, the meteorological site is obtained in the simulation temperature value of the predetermined height above sea level, according to the meteorological site in the first estimation temperature value and simulation temperature value of the predetermined height above sea level, the meteorological site is calculated in the second estimation temperature value of the predetermined height above sea level.By this programme to realize the accurate estimation to temperature, it is to avoid direct to obtain the error that temperature record is brought.

Description

Estimate the method and service terminal of temperature
Technical field
The present invention relates to meteorological technical field, in particular to a kind of method and service terminal for estimating temperature.
Background technology
Temperature regulation not only adjusts many near surface processes, but also affects glacier accumulated snow ablation, permafrost degradation, entirely All many-sides such as ball climate warming, are an important near surface meteorology ginsengs in the models such as various plants, the hydrology, meteorology and environment Number.At present, the main space interpolation and remotely-sensed data indirect gain by meteorological site of space temperature record.Wherein, space Interpolation is easily by the influence of topography, and error is larger;Remotely-sensed data is big using near-infrared data inversion temperature difficulty, mainly using multi-parameter Statistical relationship and method and temperature/vegetation index estimate temperature.Therefore it provides a kind of accurate temperature evaluation method is that extremely have must Want.
The content of the invention
It is an object of the invention to provide a kind of method for estimating temperature, to realize the accurate estimation to temperature, reduce straight Connect the error of measurement temperature record.
Another object of the present invention is to provide a kind of service terminal, to realize the accurate estimation to temperature, reduce direct Measure the error of temperature record.
To achieve these goals, the technical scheme that the embodiment of the present invention is used is as follows:
In a first aspect, the embodiments of the invention provide a kind of method for estimating temperature, applied to service terminal, methods described For the temperature binding analysis for measuring the surface temperature data and meteorological site of inverting on satellite remote sensing images accurately to estimate Temperature, methods described includes:
The temperature value and the meteorological site measured according to the meteorological site in actual height above sea level is in the satellite The temperature lapse rate of pixel where go remote sensing images, calculates the meteorological site in the first estimation of the predetermined height above sea level Temperature value;
Regression model is set up, the meteorological site is obtained in the simulation temperature value of the predetermined height above sea level;
According to the meteorological site in the first estimation temperature value and simulation temperature value of the predetermined height above sea level, calculate The meteorological site estimates temperature value in the second of the predetermined height above sea level.
Second aspect, the embodiment of the present invention additionally provides a kind of service terminal, and the service terminal includes:
Memory;
Processor;And estimation temperature device, the device of the estimation temperature be installed in the memory and including One or more software function modules by the computing device, the device of the estimation temperature includes:
First computing module, for the temperature value measured according to the meteorological site in actual height above sea level and the gas As the temperature lapse rate of website place pixel on the satellite remote sensing images, the meteorological site is calculated in described pre- Dinghai First estimation temperature value of degree of lifting;
Model building module, for setting up regression model, obtains the meteorological site in the mould of the predetermined height above sea level Intend temperature value;
Second computing module, for according to the meteorological site in the predetermined height above sea level first estimation temperature value and Temperature value is simulated, the meteorological site is calculated in the second estimation temperature value of the predetermined height above sea level.
A kind of method and service terminal for estimating temperature provided in an embodiment of the present invention, the method for the estimation temperature is applied to Service terminal, the method for the estimation temperature includes temperature value and the institute measured according to the meteorological site in actual height above sea level The temperature lapse rate of meteorological site is stated, the meteorological site is calculated in the first estimation temperature value of the predetermined height above sea level. Regression model is set up, the meteorological site is obtained in the simulation temperature value of the predetermined height above sea level, according to the meteorological site In the first estimation temperature value and simulation temperature value of the predetermined height above sea level, the meteorological site is calculated in described pre- Dinghai Second estimation temperature value of degree of lifting.By this programme to realize the accurate estimation to temperature, it is to avoid directly obtain temperature number According to the error brought.
To enable the above objects, features and advantages of the present invention to become apparent, preferred embodiment cited below particularly, and coordinate Appended accompanying drawing, is described in detail below.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be attached to what is used required in embodiment Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, therefore is not construed as pair The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 shows a kind of structural representation of service terminal provided in an embodiment of the present invention.
Fig. 2 shows a kind of schematic flow sheet of method for estimating temperature provided in an embodiment of the present invention.
Fig. 3 shows a kind of schematic flow sheet of the sub-step of method for estimating temperature provided in an embodiment of the present invention.
Fig. 4 shows the schematic flow sheet of the method for another estimation temperature provided in an embodiment of the present invention.
Fig. 5 shows a kind of high-level schematic functional block diagram of device for estimating temperature provided in an embodiment of the present invention.
Diagram:300- service terminals;310- estimates the device of temperature;320- memories;330- processors;311- first Computing module;312- model building modules;The computing modules of 313- second.
Embodiment
Below in conjunction with accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Ground is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.Generally exist The component of the embodiment of the present invention described and illustrated in accompanying drawing can be arranged and designed with a variety of configurations herein.Cause This, the detailed description of the embodiments of the invention to providing in the accompanying drawings is not intended to limit claimed invention below Scope, but it is merely representative of the selected embodiment of the present invention.Based on embodiments of the invention, those skilled in the art are not doing The every other embodiment obtained on the premise of going out creative work, belongs to the scope of protection of the invention.
It should be noted that:Similar label and letter represents similar terms in following accompanying drawing, therefore, once a certain Xiang Yi It is defined in individual accompanying drawing, then it further need not be defined and explained in subsequent accompanying drawing.Meanwhile, the present invention's In description, term " first ", " second " etc. are only used for distinguishing description, and it is not intended that indicating or implying relative importance.
Fig. 1 is refer to, is a kind of structural representation of service terminal 300 provided in an embodiment of the present invention, of the invention real Apply in example, the method for estimation temperature is applied to service terminal 300, and the service terminal 300 may be, but not limited to, desktop computer Deng intelligent electronic device.The service terminal 300 includes device 310, memory 320 and the processor 330 of estimation temperature.
The memory 320, each element of processor 330 are directly or indirectly electrically connected with each other, to realize data Transmission or interaction.It is electrically connected with for example, these elements can be realized by one or more communication bus or signal wire each other. The device 310 of the estimation temperature, which includes at least one, to be stored in memory in the form of software or firmware (firmware) In 320 or the software function module that is solidificated in the operating system of service terminal 300 (operating system, OS).Processing Device 330 is used to perform the executable module stored in memory 320, for example, estimate the software function that the device 310 of temperature includes Module and computer program etc..
Wherein, memory 320 may be, but not limited to, random access memory (Random Access Memory, RAM), read-only storage (Read Only Memory, ROM), programmable read only memory (Programmable Read-Only Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only Memory, EPROM), Electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only Memory, EEPROM) etc.. Wherein, memory 320 is used for storage program, and processor 330 performs described program after execute instruction is received.
Fig. 2 is refer to, is a kind of method for estimating temperature provided in an embodiment of the present invention, the method application of the estimation temperature In service terminal 300, the method for the estimation temperature includes:Step S110, is surveyed according to the meteorological site in actual height above sea level The temperature lapse rate of temperature value and the meteorological site pixel where go the satellite remote sensing images obtained, is calculated described Meteorological site estimates temperature value in the first of the predetermined height above sea level.
Pass throughMeteorological site is calculated in the first estimation temperature of predetermined height above sea level Value, wherein TA, nThe temperature value measured for meteorological site in actual height above sea level,Represent meteorological site in satellite remote sensing images The temperature lapse rate of upper place pixel.
Step S120, sets up regression model, obtains the meteorological site in the simulation temperature value of the predetermined height above sea level.
In embodiments of the present invention, set up by the longitude, latitude and normalized differential vegetation index of meteorological site and return mould Type, meteorological site is simulated in the simulation temperature value of predetermined height above sea level by the regression model of foundation, but not limited to this, can be with Regression model is set up by other specification.The regression model is TM (i, j)=a1·latitude+a2·lontitude+a3· NDVI+b, wherein, TM (i, j)For simulation temperature value, a1,a2,a3For regression coefficient, b is constant, and latitude is longitude, Lontitude is latitude, and NDVI is normalized differential vegetation index.
Step S130, according to the meteorological site in the first estimation temperature value and simulation temperature of the predetermined height above sea level Value, calculates the meteorological site in the second estimation temperature value of the predetermined height above sea level.
The simulation temperature value obtained according to step S110 the first estimation temperature values obtained and step S120, calculates meteorological Second estimation temperature value of the website at predetermined height above sea level, the second estimation temperature value is meteorological site at the predetermined height above sea level More accurate temperature value.It is the stream of step S130 provided in an embodiment of the present invention sub-step specifically, refer to Fig. 3 Journey schematic diagram.
Step S131, temperature value and the simulation gas are estimated by the meteorological site in the first of the predetermined height above sea level Temperature value calculates temperature residual values, is calculated according to the temperature residual values and obtains temperature residual error interpolation value.
By obtaining TC, n=TD, n-TM, nTemperature residual values, wherein TC, nFor temperature residual values, TD, nFor the meteorological site First in the predetermined height above sea level estimates temperature value, TM, nIt is the meteorological site in the simulation of the predetermined height above sea level Temperature value.
By gram in golden spatial interpolation methodsObtain temperature residual error interpolation value, wherein TC (i, j)For temperature Residual error interpolation value, TC, iFor temperature residual values, δiFor observation weight coefficient.
Step S132, the temperature residual error interpolation value is added with the simulation temperature and obtains the meteorological site in described Second estimation temperature value of predetermined height above sea level.
Pass through TD, a (i, j)=TC (i, j)+TM (i, j)Algorithm calculates and obtains the second estimation temperature value, wherein TD, a (i, j)For second Estimate temperature value, TC (i, j)For temperature residual error interpolation value, TM (i, j)For simulation temperature value.
Fig. 4 is refer to, is the schematic flow sheet of the method for another estimation temperature provided in an embodiment of the present invention, the estimation The method of temperature is applied to service terminal 300, and the method for the estimation temperature includes:
Step S210, multiple surface temperature values are obtained from the satellite remote sensing images inverting.
Pass through MODIS (Moderate Imaging Spectroradiomete, moderate-resolution imaging Spectroradiometer multiple surface temperature values of each pixel, the ground of each pixel) are obtained from satellite remote sensing images inverting Table temperature retrieval value includes 4 inverting values in daytime and evening.
Step S220, calculates the average value of multiple surface temperature values, the average value of the multiple surface temperature value is each The surface temperature of pixel.
Pass through TS=(TTd+TAd+TTn+TDn)/4 calculate the surface temperature for obtaining each pixel, wherein TTdAnd TAdRepresenting should The surface temperature on daytime of pixel, TTnAnd TDnThe night surface temperature of the pixel is represented, 4 earth's surfaces of pixel obtained by inverting The average value of temperature is to obtain the surface temperature of each pixel.
Step S230, according to the surface temperature of the pixel at the actual height above sea level of the remote sensing images inverting, Yi Jisuo The digital elevation model of remote sensing images region correspondence pixel is stated, the pixel of different altitude height is calculated relative to predetermined height above sea level The temperature lapse rate for the pixel highly located.
The surface temperature of the pixel on remote sensing images at actual height above sea level is obtained, in combination with the digital elevation mould of pixel Type, calculates temperature lapse rate of the pixel relative to predetermined height above sea level of different altitude height, the predetermined height above sea level can root Chosen according to being actually needed.Especially by
Algorithm calculates temperature lapse rate of the pixel relative to predetermined height above sea level of different altitude height, whereinTemperature Lapse rate, Hi,jFor the height above sea level of other pixels, HDFor predetermined height above sea level, TS (i, j)For the surface temperature of other pixels, TS, D (x, y)For the surface temperature of the pixel at predetermined height above sea level.
Step S240, the temperature value measured according to the meteorological site in actual height above sea level and meteorological site institute In the temperature lapse rate of pixel, the meteorological site is calculated in the first estimation temperature value of the predetermined height above sea level.
Pass throughMeteorological site is calculated in the first estimation temperature of predetermined height above sea level Value, wherein TA, nThe temperature value measured for meteorological site in actual height above sea level,Represent the temperature lapse rate of meteorological site.
Step S250, sets up regression model, obtains the meteorological site in the simulation temperature value of the predetermined height above sea level.
In embodiments of the present invention, set up by the longitude, latitude and normalized differential vegetation index of meteorological site and return mould Type, meteorological site is simulated in the simulation temperature value of predetermined height above sea level by the regression model of foundation, but not limited to this, can be with Regression model is set up by other specification.The regression model is TM (i, j)=a1·latitude+a2·lontitude+a3· NDVI+b, wherein, TM (i, j)For simulation temperature value, ai,a2,a3For regression coefficient, b is constant, and latitude is longitude, Lontitude is latitude, and NDVI is normalized differential vegetation index.
Step S260, according to the meteorological site in the first estimation temperature value and simulation temperature of the predetermined height above sea level Value, calculates the meteorological site in the second estimation temperature value of the predetermined height above sea level.
The simulation temperature value obtained according to step S240 the first estimation temperature values obtained and step S250, calculates meteorological Second estimation temperature value of the website at predetermined height above sea level, the second estimation temperature value is meteorological site at the predetermined height above sea level More accurate temperature value.Specifically,
The meteorological site is estimated that temperature value and the simulation temperature value are subtracted each other in the first of the predetermined height above sea level Temperature residual values are obtained, is calculated according to the temperature residual values and obtains temperature residual error interpolation value.
Pass through TC, n=TD, n-TM, nObtain temperature residual values, wherein TC, nFor temperature residual values, TD, nFor the meteorological site First in the predetermined height above sea level estimates temperature value, TM, nIt is the meteorological site in the simulation of the predetermined height above sea level Temperature value.
By gram in golden spatial interpolation methodsObtain temperature residual error interpolation value, wherein TC (i, j)For temperature Residual error interpolation value, TC, iFor temperature residual values, δiFor observation weight coefficient.
The temperature residual error interpolation value is added with the simulation temperature and obtains the meteorological site in the predetermined height above sea level Second estimation temperature value of height.
Pass through TD, a (i, j)=TC (i, j)+TM (i, j)Algorithm calculates and obtains the second estimation temperature value, wherein TD, a (i, j)For second Estimate temperature value, TC (i, j)For temperature residual error interpolation value, TM (i, j)For simulation temperature value.
Step S270, according to the temperature lapse rate of different altitude height pixel and the meteorological site in described pre- Dinghai Second estimation temperature value of degree of lifting, calculates the temperature value of the different actual height above sea levels of pixel.
According to being calculated the temperature lapse rate and step S260 of the step S230 different altitude heights calculated Meteorological site estimates temperature value in the second of predetermined height above sea level, calculates the temperature value of actual height above sea level.Especially by
Algorithm calculates the temperature value of actual height above sea level, wherein TA (i, j)For the temperature value of actual height above sea level, TD, a (i, j) Temperature value is estimated in the second of the predetermined height above sea level for the meteorological site,For temperature lapse rate.Therefore, gas is passed through As website is in the second estimation temperature value of the predetermined height above sea level, the temperature value of other height above sea levels is obtained, is realized to reality The accurate estimation of the temperature value of border height above sea level.
Fig. 5 is refer to, is a kind of high-level schematic functional block diagram of device 310 for estimating temperature provided in an embodiment of the present invention, The device 310 of the estimation temperature is applied to service terminal 300, and the device 310 of the estimation temperature includes:
First computing module 311, for the temperature value measured according to the meteorological site in actual height above sea level and institute The temperature lapse rate of meteorological site place pixel on the satellite remote sensing images is stated, the meteorological site is calculated in described pre- Determine the first estimation temperature value of height above sea level.
In embodiments of the present invention, step S110, step S210~step S240 can be held by the first computing module 311 OK.
Model building module 312, for setting up regression model, obtains the meteorological site in the predetermined height above sea level Simulate temperature value.
In embodiments of the present invention, step S120 and step S250 can be performed by model building module 312.
Second computing module 313, for estimating temperature in the first of the predetermined height above sea level according to the meteorological site Value and simulation temperature value, calculate the meteorological site in the second estimation temperature value of the predetermined height above sea level.
In embodiments of the present invention, step S130~step S132, step S260 and step S270 can be by the second meters Module 313 is calculated to perform.
Due to being had been described in the method for estimation temperature, it will not be repeated here.
In summary, a kind of method and service terminal for estimating temperature provided in an embodiment of the present invention, the estimation temperature Method is applied to service terminal, and the method for the estimation temperature includes the gas measured according to the meteorological site in actual height above sea level The temperature lapse rate of temperature value and the meteorological site, calculate the meteorological site in the predetermined height above sea level first is estimated Calculate temperature value.Regression model is set up, the meteorological site is obtained in the simulation temperature value of the predetermined height above sea level, according to described Meteorological site calculates the meteorological site in institute in the first estimation temperature value and simulation temperature value of the predetermined height above sea level State the second estimation temperature value of predetermined height above sea level.By this programme to realize the accurate estimation to temperature, it is to avoid directly obtain Take the error that temperature record is brought.
In several embodiments provided herein, it should be understood that disclosed apparatus and method, it can also pass through Other modes are realized.Device embodiment described above is only schematical, for example, flow chart and block diagram in accompanying drawing Show according to the device of multiple embodiments of the present invention, the architectural framework in the cards of method and computer program product, Function and operation.At this point, each square frame in flow chart or block diagram can represent the one of a module, program segment or code Part a, part for the module, program segment or code is used to realize holding for defined logic function comprising one or more Row instruction.It should also be noted that in some implementations as replacement, the function of being marked in square frame can also with different from The order marked in accompanying drawing occurs.For example, two continuous square frames can essentially be performed substantially in parallel, they are sometimes It can perform in the opposite order, this is depending on involved function.It is also noted that every in block diagram and/or flow chart The combination of individual square frame and block diagram and/or the square frame in flow chart, can use the special base for performing defined function or action Realize, or can be realized with the combination of specialized hardware and computer instruction in the system of hardware.
In addition, each functional module in each embodiment of the invention can integrate to form an independent portion Point or modules individualism, can also two or more modules be integrated to form an independent part.
If the function is realized using in the form of software function module and is used as independent production marketing or in use, can be with It is stored in a computer read/write memory medium.Understood based on such, technical scheme is substantially in other words The part contributed to prior art or the part of the technical scheme can be embodied in the form of software product, the meter Calculation machine software product is stored in a storage medium, including some instructions are to cause a computer equipment (can be individual People's computer, server, or network equipment etc.) perform all or part of step of each of the invention embodiment methods described. And foregoing storage medium includes:USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited Reservoir (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.Need Illustrate, herein, such as first and second or the like relational terms be used merely to by an entity or operation with Another entity or operation make a distinction, and not necessarily require or imply between these entities or operation there is any this reality The relation or order on border.Moreover, term " comprising ", "comprising" or its any other variant are intended to the bag of nonexcludability Contain, so that process, method, article or equipment including a series of key elements are not only including those key elements, but also including Other key elements being not expressly set out, or also include for this process, method, article or the intrinsic key element of equipment. In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including the key element Process, method, article or equipment in also there is other identical element.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for the skill of this area For art personnel, the present invention can have various modifications and variations.Within the spirit and principles of the invention, that is made any repaiies Change, equivalent substitution, improvement etc., should be included in the scope of the protection.It should be noted that:Similar label and letter exists Similar terms is represented in following accompanying drawing, therefore, once being defined in a certain Xiang Yi accompanying drawing, is then not required in subsequent accompanying drawing It is further defined and explained.
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any Those familiar with the art the invention discloses technical scope in, change or replacement can be readily occurred in, should all be contained Cover within protection scope of the present invention.Therefore, protection scope of the present invention described should be defined by scope of the claims.

Claims (10)

1. a kind of method for estimating temperature, applied to service terminal, it is characterised in that methods described is used for satellite remote sensing images The temperature binding analysis that the surface temperature data and meteorological site of upper inverting are measured is accurately to estimate temperature, and methods described includes:
The temperature value and the meteorological site measured according to the meteorological site in actual height above sea level is in the satellite remote sensing The temperature lapse rate of pixel where go image, calculates the meteorological site in the first estimation temperature value of predetermined height above sea level;
Regression model is set up, the meteorological site is obtained in the simulation temperature value of the predetermined height above sea level;
According to the meteorological site in the first estimation temperature value and simulation temperature value of the predetermined height above sea level, calculate described Meteorological site estimates temperature value in the second of the predetermined height above sea level.
2. the method for temperature is estimated as claimed in claim 1, it is characterised in that according to the meteorological site in described pre- Dinghai The the first estimation temperature value and simulation temperature value for degree of lifting, calculate the meteorological site in the second of the predetermined height above sea level The step of estimation temperature value, includes:
The meteorological site is estimated that temperature value and the simulation temperature value calculate outlet in the first of the predetermined height above sea level Warm residual values, calculate according to the temperature residual values and obtain temperature residual error interpolation value;
The temperature residual error interpolation value is added with the simulation temperature value and obtains the meteorological site in the predetermined height above sea level Second estimation temperature value of degree.
3. the method for temperature is estimated as claimed in claim 2, it is characterised in that
It is described calculate temperature residual error calculation be:
TC, n=TD, n-TM, n
Wherein, TC, nFor temperature residual error, TD, nTemperature value is estimated in the first of the predetermined height above sea level for the meteorological site, TM, nIt is the meteorological site in the simulation temperature value of the predetermined height above sea level;
It is described temperature residual error space interpolation is obtained according to temperature residual computations calculation be:
Wherein, TC (i, j)For temperature residual error interpolation value, TC, iFor temperature residual error, δiFor observation weight coefficient.
4. the method for temperature is estimated as claimed in claim 1, it is characterised in that methods described also includes:
According to the temperature lapse rate of pixel on the satellite remote sensing images and the meteorological site in the predetermined height above sea level Second estimation temperature value, calculates the temperature value of the actual height above sea level of the pixel.
5. the method for temperature is estimated as claimed in claim 4, it is characterised in that
The calculation of the actual height above sea level temperature value of the pixel is:
Wherein, TA (i, j)For the temperature value of actual height above sea level, TD, a (i, j)It is the meteorological site in the second of the predetermined height above sea level Temperature value is estimated,For temperature lapse rate.
6. the method for the estimation temperature as described in claim 1 or 4, it is characterised in that methods described also includes:
The surface temperature of pixel at the actual height above sea level obtained according to inverting on the satellite remote sensing images, with reference to the remote sensing The digital elevation model of image corresponding region pixel, calculates the pixel of different altitude height relative to pixel at predetermined height above sea level Temperature lapse rate.
7. the method for temperature is estimated as claimed in claim 6, it is characterised in that
The calculation of the temperature lapse rate is:
Wherein,For temperature lapse rate, Hi,jFor the height above sea level of other pixels, HDFor predetermined height above sea level, TS (i, j)For other The surface temperature of pixel, TS, D (x, y)For the surface temperature of the pixel at predetermined height above sea level.
8. the method for temperature is estimated as claimed in claim 6, it is characterised in that methods described also includes:
Multiple surface temperature values of each pixel are obtained from inverting on the satellite remote sensing images;
The average value of multiple surface temperature values is calculated, the average value of the multiple surface temperature value is the earth's surface temperature of each pixel Degree.
9. estimating the method for temperature as claimed in claim 1, it is characterised in that described to set up regression model, the gas is obtained As website includes the step of the simulation temperature value of the predetermined height above sea level:
Regression model is set up according to the longitude, latitude and normalized differential vegetation index of the meteorological site, the weather station is obtained Point is in the simulation temperature value of the predetermined height above sea level;
The calculation for setting up regression model is:
TM (i, j)=a1·latitude+a2·lontitude+a3·NDVI+b
Wherein, TM (i, j)For simulation temperature value, a1,a2,a3For regression coefficient, b is constant, and latitude is longitude, lontitude For latitude, NDVI is normalized differential vegetation index.
10. a kind of service terminal, it is characterised in that the service terminal includes:
Memory;
Processor;And the device of temperature is estimated, the device of the estimation temperature is installed in the memory and including one Or multiple software function modules by the computing device, the device of the estimation temperature includes:
First computing module, temperature value and the meteorological site for being measured according to meteorological site in actual height above sea level exist The temperature lapse rate of pixel where go satellite remote sensing images, calculates the meteorological site in the first estimation of predetermined height above sea level Temperature value;
Model building module, for setting up regression model, obtains the meteorological site in the simulation gas of the predetermined height above sea level Temperature value;
Second computing module, for estimating temperature value and simulation in the first of the predetermined height above sea level according to the meteorological site Temperature value, calculates the meteorological site in the second estimation temperature value of the predetermined height above sea level.
CN201710434299.5A 2017-06-09 2017-06-09 Estimate the method and service terminal of temperature Active CN107247690B (en)

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Application Number Priority Date Filing Date Title
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108961089A (en) * 2018-05-28 2018-12-07 浙江大学 Based on star the In Middle And Lower Reaches of Changjiang River rice Climatic regionalization remote-sensing monitoring method of multi-source data
CN109063684A (en) * 2018-08-28 2018-12-21 中国科学院寒区旱区环境与工程研究所 A kind of near surface temperature remote-sensing monitoring method
CN109871637A (en) * 2019-03-06 2019-06-11 成都信息工程大学 Temperature evaluation method near the ground under the conditions of a kind of skies
CN114021371A (en) * 2021-11-16 2022-02-08 中国科学院西北生态环境资源研究院 Carbon reserve influence estimation method and device, electronic equipment and storage medium
CN114117341A (en) * 2020-09-01 2022-03-01 石河子大学 Calculation method for annual average temperature in any region of Tianshan northern slope

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103530499A (en) * 2013-08-29 2014-01-22 西南林业大学 Method for building mountainous area surface temperature base line and application
CN106169014A (en) * 2016-06-15 2016-11-30 中国水利水电科学研究院 Region based on remotely-sensed data Surface sensible heat/latent heat flux inversion method and system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103530499A (en) * 2013-08-29 2014-01-22 西南林业大学 Method for building mountainous area surface temperature base line and application
CN106169014A (en) * 2016-06-15 2016-11-30 中国水利水电科学研究院 Region based on remotely-sensed data Surface sensible heat/latent heat flux inversion method and system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
SANJAY K. JAIN 等: "Determination of land surface temperature and its lapse rate in the Satluj River basin using NOAA data", 《INTERNATIONAL JOURNAL OF REMOTE SENSING》 *
王林林 等: "基于GIS的日照市气温分布式模拟", 《地理与地理信息科学》 *
王艳霞 等: "基于MODIS遥感影像的云南山地气温垂直直减率场", 《遥感技术与应用》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108961089A (en) * 2018-05-28 2018-12-07 浙江大学 Based on star the In Middle And Lower Reaches of Changjiang River rice Climatic regionalization remote-sensing monitoring method of multi-source data
CN109063684A (en) * 2018-08-28 2018-12-21 中国科学院寒区旱区环境与工程研究所 A kind of near surface temperature remote-sensing monitoring method
CN109063684B (en) * 2018-08-28 2022-03-29 中国科学院西北生态环境资源研究院 Near-surface air temperature remote sensing monitoring method
CN109871637A (en) * 2019-03-06 2019-06-11 成都信息工程大学 Temperature evaluation method near the ground under the conditions of a kind of skies
CN114117341A (en) * 2020-09-01 2022-03-01 石河子大学 Calculation method for annual average temperature in any region of Tianshan northern slope
CN114021371A (en) * 2021-11-16 2022-02-08 中国科学院西北生态环境资源研究院 Carbon reserve influence estimation method and device, electronic equipment and storage medium
CN114021371B (en) * 2021-11-16 2023-03-03 中国科学院西北生态环境资源研究院 Carbon reserve influence estimation method and device, electronic equipment and storage medium

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