CN106770446A - Transpiration computing device, method and computer system - Google Patents
Transpiration computing device, method and computer system Download PDFInfo
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- CN106770446A CN106770446A CN201710082066.3A CN201710082066A CN106770446A CN 106770446 A CN106770446 A CN 106770446A CN 201710082066 A CN201710082066 A CN 201710082066A CN 106770446 A CN106770446 A CN 106770446A
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- G01N25/00—Investigating or analyzing materials by the use of thermal means
- G01N25/20—Investigating or analyzing materials by the use of thermal means by investigating the development of heat, i.e. calorimetry, e.g. by measuring specific heat, by measuring thermal conductivity
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Abstract
The present invention relates to field irrigation management field, the transpiration rate of whole detection zone can not be reflected for the method for solving to calculate at present transpiration amount, in the region laid without weather station or the region of observation station skewness, the problem of the transpiration amount in the region cannot be obtained, the invention provides a kind of transpiration computing device, method and computer system, including acquiring unit, net radiation determining unit, soil heat flux determining unit, Sensible Heating Flux determining unit and computing unit;Acquiring unit is connected with net radiation determining unit, soil heat flux determining unit and Sensible Heating Flux determining unit respectively;Sensible Heating Flux determining unit includes cold and hot point range searching modul and judge module;Computing unit is connected with net radiation determining unit, soil heat flux determining unit and Sensible Heating Flux determining unit respectively.The present invention is automatically performed the calculating of transpiration based on remote sensing image, and can monitor the transpiration amount of whole region.
Description
Technical field
The present invention relates to field irrigation management field, more particularly to a kind of transpiration computing device, method and computer
System.
Background technology
Transpiration is the important component of Land surface energy budget and water balance, be always calculate vegetation water requirements and
Prevent the key of arid, be the important parameter of real-time irrigation forecast and water management, it is of crucial importance to farmland management and rising
The size of amount has close relationship with the formation of the physiological activity of vegetation and yield.The method for calculating transpiration at present has
The methods such as Penman-monteith, Blaney-Criddle, Hargreaves, Penman-monteith, Blaney-
The methods such as Criddle, Hargreaves are calculated using environment weather parameter such as air themperature, air humidity, wind speed etc. is planted
By transpiration rate, the environment weather such as air themperature, air humidity, wind speed parameter is obtained from weather station, so on the one hand,
Weather station limited amount, if causing that the transpiration rate that certain region is done can only be calculated, it is impossible to reflect the steaming of whole detection zone
The amount of rising;On the other hand, in the region laid without weather station or the region of observation station skewness, cannot ideally obtain
Required environment weather parameter is taken, leads to not obtain the transpiration amount in the region.
The content of the invention
The invention provides a kind of transpiration computing device, method and computer system, to solve to calculate vegetation at present
The method of transpiration rate can not reflect the transpiration rate of whole detection zone, divide in the region or observation station laid without weather station
The uneven region of cloth, it is impossible to obtain the problem of the transpiration amount in the region.
In a first aspect, determining list the invention provides a kind of transpiration computing device, including acquiring unit, net radiation
Unit, soil heat flux determining unit, Sensible Heating Flux determining unit and computing unit;The acquiring unit respectively with the net radiation
Determining unit, soil heat flux determining unit and Sensible Heating Flux determining unit connection, for being got parms from remote sensing image;Institute
Net radiation determining unit is stated for the parameter determination net radiation according to the acquisition;The soil heat flux determining unit is used for root
According to the parameter determination soil heat flux of the acquisition;The Sensible Heating Flux determining unit includes cold and hot point range searching modul and sentences
Disconnected module, the cold and hot point range searching modul is used to choose area-of-interest in the remote sensing image, in the region of interest
Cold and hot point range is searched in domain;The judge module is used to choose the first cold and hot point in the cold and hot point range, by described the
Cold and hot point is compared with the cold and hot point around the first cold and hot point, judges the described first cold and hot point with the first cold and hot point week
Whether meet the condition of Space Consistency between the cold and hot point for enclosing, it is cold by described first if meeting the condition of Space Consistency
Focus is used as the cold and hot point of target;If being unsatisfactory for the condition of Space Consistency, choose cold and hot again in the cold and hot point range
Point, is compared judgement, if not finding the cold and hot point of target in the cold and hot point range, is searched using the cold and hot point range
Module searches cold and hot point range again, the cold and hot point of target is searched in the cold and hot point range that this is searched again, until finding target
Cold and hot point;The Sensible Heating Flux determining unit is used for the parameter determination obtained according to the cold and hot point of the target and from remote sensing image
Sensible Heating Flux;The computing unit determines single with net radiation determining unit, soil heat flux determining unit and Sensible Heating Flux respectively
Unit's connection, for calculating transpiration according to the net radiation, soil heat flux and Sensible Heating Flux.
Second aspect, present invention also offers a kind of transpiration computational methods, comprises the following steps:From remote sensing image
Get parms;Parameter determination net radiation according to the acquisition;Parameter determination soil heat flux according to the acquisition;Described
Area-of-interest is chosen in remote sensing image, cold and hot point range is searched in the area-of-interest;Selected in the cold and hot point range
The first cold and hot point is taken, the described first cold and hot point is compared with the cold and hot point around the first cold and hot point, judge described first
Whether the condition of Space Consistency is met between cold and hot point around cold and hot point and the first cold and hot point, if meeting Space Consistency
Condition, then using the described first cold and hot point as the cold and hot point of target;If being unsatisfactory for the condition of Space Consistency, described cold and hot
Again cold and hot point is chosen in point range, this step is repeated, if not finding the cold and hot point of target in the cold and hot point range, again
Cold and hot point range is searched, the cold and hot point of target is searched in the cold and hot point range that this is searched again, until finding the cold and hot point of target;Root
The parameter determination Sensible Heating Flux obtained according to the cold and hot point of the target and from remote sensing image;Led to according to the net radiation, Soil Thermal
Amount and Sensible Heating Flux calculate transpiration.
The third aspect, present invention also offers a kind of computer system, including processor and memory, the processor with
The memory is connected by bus, the processor, for being got parms from remote sensing image;According to the parameter of the acquisition
Determine net radiation;Parameter determination soil heat flux according to the acquisition;Area-of-interest is chosen in the remote sensing image,
Cold and hot point range is searched in the area-of-interest;The first cold and hot point is chosen in the cold and hot point range, it is cold and hot by described first
Point is compared with the cold and hot point around the first cold and hot point, judges cold around the described first cold and hot point and the first cold and hot point
Whether the condition of Space Consistency is met between focus, if meeting the condition of Space Consistency, the described first cold and hot point is made
It is the cold and hot point of target;If being unsatisfactory for the condition of Space Consistency, cold and hot point is chosen again in the cold and hot point range, repeat
This step, if not finding the cold and hot point of target in the cold and hot point range, searches cold and hot point range again, is searched again at this
Cold and hot point range in search the cold and hot point of target, until finding the cold and hot point of target;According to the cold and hot point of the target and from remote sensing shadow
The parameter determination Sensible Heating Flux obtained as in;Transpiration is calculated according to the net radiation, soil heat flux and Sensible Heating Flux.
Transpiration computing device of the present invention has the advantages that:
Transpiration computing device of the present invention obtains the parameter of remote sensing image by acquiring unit, according to the ginseng of remote sensing image
Number determines net radiation, soil heat flux, and cold and hot point range searching modul is first with the every constraints in area-of-interest
Cold and hot point range is found, then judges the Space Consistency between each cold and hot point in cold and hot point range, to draw the cold and hot point of target
Particular location;Sensible Heating Flux determining unit calculates Sensible Heating Flux according to the parameter of the cold and hot point of target and remote sensing image, finally, meter
Calculate unit and transpiration is calculated according to net radiation, soil heat flux, Sensible Heating Flux.Transpiration computing device of the present invention being capable of root
The calculating of transpiration is completed according to remote sensing image, either in the region laid without weather station or observation station distribution not
Equal region, transpiration can be calculated using transpiration computing device of the present invention;And remote sensing image has coverage rate
Extensively, accurate in real time the characteristics of, extensive area can be preferably monitored, transpiration computing device of the present invention can be monitored entirely
The transpiration amount in region.
Transpiration computing device of the present invention can be automatically performed the calculating process of transpiration, improve operating efficiency,
And large batch of data can be processed, the transpiration amount of extensive area can be for a long time monitored.
Transpiration computational methods of the present invention have the advantages that:
Transpiration computational methods of the present invention obtain required parameter from remote sensing image, and the parameter according to remote sensing image is true
Determine net radiation, soil heat flux, when determining Sensible Heating Flux, found first with the every constraints in area-of-interest cold and hot
Point range, then judge the Space Consistency between each cold and hot point in cold and hot point range, to draw the specific position of the cold and hot point of target
Put, the parameter according to the cold and hot point of target and remote sensing image calculates Sensible Heating Flux, finally, according to net radiation, soil heat flux, sensible heat
Flux calculates transpiration.Transpiration computational methods of the present invention complete the calculating of transpiration according to remote sensing image, either
In the region laid without weather station or the region of observation station skewness, using transpiration computational methods of the present invention
Transpiration can be calculated;And remote sensing image has broad covered area, the characteristics of accurate in real time, big model can be preferably monitored
Region is enclosed, the transpiration amount of whole region can be monitored using transpiration computational methods of the present invention.
Transpiration computational methods of the present invention can be automatically performed the calculating process of transpiration, improve operating efficiency,
And large batch of data can be processed, the transpiration amount of extensive area can be for a long time monitored.The invention provides one
The transpiration computational methods of standardization are planted, and the method based on cold and hot point can simplify calculating process, be easy to operation.
It should be appreciated that the general description of the above and detailed description hereinafter are only exemplary and explanatory, not
Can the limitation present invention.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be to embodiment or description of the prior art
Needed for the accompanying drawing to be used be briefly described.
Fig. 1 is the structural representation of transpiration computing device of the present invention;
Fig. 2 is a kind of preferred structure schematic diagram of the acquiring unit of transpiration computing device of the present invention;
Fig. 3 is the workflow diagram of the transpiration computing device shown in Fig. 1;
During Fig. 4 is for the workflow of the transpiration computing device shown in Fig. 1, judge whether to meet Space Consistency condition
Schematic diagram.
Specific embodiment
The present invention is introduced below in conjunction with the accompanying drawings, and the present invention is in the accompanying drawings by way of example rather than the side by limiting
Formula is illustrated.
As shown in Figure 1-2, transpiration computing device of the present invention includes acquiring unit 10, net radiation determining unit 11, soil
Earth heat flux determining unit 12, Sensible Heating Flux determining unit 13 and computing unit 14.Acquiring unit 10 determines with net radiation respectively
Unit 11, soil heat flux determining unit 12 and Sensible Heating Flux determining unit 13 are connected, for being got parms from remote sensing image;
Wherein, acquiring unit 10 includes processing module 101, and the processing module 101 is used to process remote sensing image, by remote sensing shadow
As being reduced to real information, got parms from real information, because being usually data signal in remote sensing image, it is impossible to enough direct
Using, it is necessary to convert digital signals into analog signal (i.e. real information), remote sensing image is reduced to after real information with regard to energy
Enough meet the requirement for directly using.The parameter that acquiring unit 10 is obtained from remote sensing image for example can be the increasing of visible light wave range
Benefit and side-play amount, sun altitude, the gain of Thermal infrared bands and side-play amount, during use, can also obtain as needed
Other specification.
Net radiation determining unit 11 is used for according to the parameter determination net radiation for obtaining, and net radiation refers to the shortwave spoke on ground
The difference of the energy balance with long-wave radiation, i.e. shortwave radiation and long-wave radiation is penetrated, is obtained from remote sensing image according to acquiring unit 10
The parameter for taking can calculate net radiation.
Soil heat flux determining unit 12 is used for according to the parameter determination soil heat flux for obtaining, and soil heat flux refers to soil
The energy of the heat flux on earth upper strata, i.e. soil absorption.There is certain correlation between soil heat flux and net radiation, in vegetation
Coverage ground surface type high, the correlation is calculated by surface temperature, reflection of light degree, normalized differential vegetation index, and on other ground
Table type (water body, desert, exposed soil etc.), the correlation is constant, by the correlation between soil heat flux and net radiation just
Soil heat flux can be obtained.Soil heat flux can be calculated according to the parameter that acquiring unit 10 is obtained from remote sensing image.
Sensible Heating Flux determining unit 13 is used for the parameter determination sensible heat obtained according to the cold and hot point of target and from remote sensing image
Flux, Sensible Heating Flux refer to object during being heated or cooled, temperature is raised and lowered needed for without changing its original phase
Absorb or liberated heat flux.As shown in figure 1, Sensible Heating Flux determining unit 13 includes the cold and hot He of point range searching modul 131
Judge module 132, cold and hot point range searching modul 131 is used to choose area-of-interest in remote sensing image, in the region of interest
Cold and hot point range is searched in domain, wherein, area-of-interest for example can be certain plot in farm, and cold and hot point range searches mould
Block 131 can search cold and hot point range according to the normalized differential vegetation index in area-of-interest, surface temperature and albedo.Judge
Module 132 is used to choose the first cold and hot point in the cold and hot point range for finding, and it refers to cold and hot point range to be somebody's turn to do " the first cold and hot point "
The cold and hot point of any one interior, the first cold and hot point is compared with the cold and hot point around the first cold and hot point, judges that first is cold
Whether the condition of Space Consistency is met between cold and hot point around focus and the first cold and hot point, if meeting Space Consistency
Condition, then using the first cold and hot point as the cold and hot point of target;If being unsatisfactory for the condition of Space Consistency, the weight in cold and hot point range
It is new to choose the second cold and hot point, judge whether to meet space between the second cold and hot point and the cold and hot point around the second cold and hot point consistent
Property condition, circulate successively, if not finding the cold and hot point of target in the cold and hot point range, using cold and hot point range search mould
Block 131 searches cold and hot point range again, the cold and hot point of target is searched in the cold and hot point range searched again, until it is cold to find target
Focus.
Computing unit 14 determines single with net radiation determining unit 11, soil heat flux determining unit 12 and Sensible Heating Flux respectively
Unit 13 connects, for calculating transpiration according to net radiation, soil heat flux and Sensible Heating Flux.
As shown in figure 3, the workflow of transpiration computing device of the present invention is:
Step S1, acquiring unit 10 obtains required parameter from remote sensing image.
Step S2, the parameter determination net radiation that net radiation determining unit 11 is obtained according to acquiring unit 10.
Step S3, the parameter determination soil heat flux that soil heat flux determining unit 12 is obtained according to acquiring unit 10.
Step S4, cold and hot point range searching modul 131 chooses area-of-interest in remote sensing image, in area-of-interest
Search cold and hot point range.
Step S5, determines the cold and hot point of target.In the cold and hot point range found in the selecting step S4 of judge module 132
Cold and hot point, the first cold and hot point is compared with the cold and hot point around the first cold and hot point, to judge the first cold and hot point and be somebody's turn to do
Whether meet the condition of Space Consistency between cold and hot point around first cold and hot point, if meeting the condition of Space Consistency,
Using the first cold and hot point as the cold and hot point of target;If being unsatisfactory for the condition of Space Consistency, chosen again in cold and hot point range
Second cold and hot point, judges whether the bar of Space Consistency is met between the cold and hot point around the second cold and hot point and the second cold and hot point
Part, circulates successively, if not finding the cold and hot point of target in cold and hot point range, using cold and hot point range searching modul 131 again
Cold and hot point range is searched, the cold and hot point of target is searched in the cold and hot point range searched again, until finding the cold and hot point of target.
As shown in figure 4, cold and hot point range searching modul 131 has found cold and hot point range A in area-of-interest 15
There are four cold and hot points in 17, cold and hot point range A 17, judge module 132 chooses the first cold and hot point in cold and hot point range A 17
19, the first cold and hot point 19 is any one the cold and hot point in cold and hot point range A 17, judges that first cold and hot 19 is first cold with this
Whether meet the condition of Space Consistency between cold and hot point around focus 19, Space Consistency can be understood as each cold and hot point it
Between spatial character be consistent, as shown in figure 4, between cold and hot point around the first cold and hot point 19 and the first cold and hot point 19
Distant, spatial character is inconsistent between the cold and hot point around the first cold and hot point 19 and the first cold and hot point 19, so first
The condition of Space Consistency is unsatisfactory between cold and hot point around cold and hot point 19 and the first cold and hot point 19.Cold and hot point is chosen successively
Whether remaining three cold and hot points in scope A 17 are full between the cold and hot point around the selected cold and hot point of judgement and the cold and hot point
The condition of sufficient Space Consistency.If not finding the cold and hot point of target in cold and hot point range A 17, searched using cold and hot point range
Module 131 searches cold and hot point range again, as shown in figure 4, cold and hot point range B 16 is the cold and hot point range for finding again, so
The cold and hot point of target is searched in cold and hot point range B 16 afterwards, the first cold and hot point 18 in cold and hot point range B 16 is chosen first, should
First cold and hot point 18 is any one the cold and hot point in cold and hot point range B 16, judges the first cold and hot point 18 and the first cold and hot point
Whether the condition of Space Consistency is met between cold and hot point around 18, as shown in figure 4, the first cold and hot point 18 is first cold and hot with this
The distance between cold and hot point around point 18 is close, thus cold and hot point around the first cold and hot point 18 and the first cold and hot point 18 it
Between space characteristics be consistent, the condition of Space Consistency is met, using the first cold and hot point 18 as the cold and hot point of target.
Step S6, Sensible Heating Flux determining unit 13 is according to the ginseng obtained in the cold and hot point of target and step S1 that step S5 finds
Number determines Sensible Heating Flux.
Step S7, computing unit 14 calculates transpiration according to net radiation, soil heat flux and Sensible Heating Flux.
Wherein, step S2 be in order to obtain net radiation, step S3 be in order to obtain soil heat flux, step S4-S6 be for
Sensible Heating Flux is obtained, step S4-S6 is collectively referred to as the step of obtaining Sensible Heating Flux, step S2, step S3 lead to sensible heat is obtained
The order of the step of amount can be exchange.
Transpiration computing device of the present invention obtains the parameter of remote sensing image by acquiring unit 10, according to remote sensing image
Parameter determination net radiation, soil heat flux, cold and hot point range searching modul 131 is first with each item constraint in area-of-interest
Condition finds cold and hot point range, then judges the Space Consistency between each cold and hot point in cold and hot point range, to show that target is cold
The particular location of focus;Sensible Heating Flux determining unit 13 calculates Sensible Heating Flux according to the parameter of the cold and hot point of target and remote sensing image,
Finally, computing unit 14 calculates transpiration according to net radiation, soil heat flux, Sensible Heating Flux.Transpiration of the present invention is calculated
Device can complete the calculating of transpiration according to remote sensing image, either still be seen in the region laid without weather station
The region of survey station skewness, transpiration can be calculated using transpiration computing device of the present invention;And remote sensing image
With broad covered area, the characteristics of accurate in real time, extensive area, transpiration computing device energy of the present invention can be preferably monitored
Enough monitor the transpiration amount of whole region.
Transpiration computing device of the present invention can be automatically performed the calculating process of transpiration, improve operating efficiency,
And large batch of data can be processed, the transpiration amount of extensive area can be for a long time monitored.
The present invention also provides a kind of transpiration computational methods, comprises the following steps:Got parms from remote sensing image;Root
According to the parameter determination net radiation of the acquisition;Parameter determination soil heat flux according to the acquisition;In the remote sensing image
Area-of-interest is chosen, cold and hot point range is searched in the area-of-interest;The first cold and hot point is chosen in cold and hot point range, will
First cold and hot point is compared with the cold and hot point around the first cold and hot point, judges around the first cold and hot point and the first cold and hot point
Cold and hot point between whether meet the condition of Space Consistency, if meeting the condition of Space Consistency, by first it is cold and hot point make
It is the cold and hot point of target;If being unsatisfactory for the condition of Space Consistency, cold and hot point is chosen again in cold and hot point range, repeat this step
Suddenly, if not finding the cold and hot point of target in cold and hot point range, cold and hot point range is searched again, in the cold and hot point that this is searched again
In the range of search the cold and hot point of target, until finding the cold and hot point of target;Obtained according to the cold and hot point of the target and from remote sensing image
Parameter determination Sensible Heating Flux;Transpiration is calculated according to the net radiation, soil heat flux and Sensible Heating Flux.
Preferably, the step " being got parms from remote sensing image " includes processing remote sensing image, by remote sensing
Image reduction is real information, is got parms from real information.
Preferably, the gain of the parameter including visible light wave range for being obtained from remote sensing image and side-play amount, sun altitude,
The gain of Thermal infrared bands and side-play amount.
Preferably, the step " is chosen area-of-interest, is searched in the area-of-interest cold in the remote sensing image
Hotspot range " includes searching cold and hot point range according to the normalized differential vegetation index in area-of-interest, surface temperature and albedo.
The present invention also provides a kind of computer system, including processor and memory, and processor passes through bus with memory
Connection, the processor, for being got parms from remote sensing image;Parameter determination net radiation according to the acquisition;According to described
The parameter determination soil heat flux of acquisition;Area-of-interest is chosen in the remote sensing image, is searched in the area-of-interest
Cold and hot point range;The first cold and hot point is chosen in cold and hot point range, will be cold and hot around the first cold and hot point and the first cold and hot point
Point is compared, and judges whether the bar of Space Consistency is met between the cold and hot point around the first cold and hot point and the first cold and hot point
Part, if meeting the condition of Space Consistency, using the first cold and hot point as the cold and hot point of target;If being unsatisfactory for the bar of Space Consistency
Part, then choose cold and hot point again in cold and hot point range, this step is repeated, if it is cold and hot not find target in cold and hot point range
Point, then search cold and hot point range again, the cold and hot point of target is searched in the cold and hot point range that this is searched again, until finding target
Cold and hot point;The parameter determination Sensible Heating Flux obtained according to the cold and hot point of the target and from remote sensing image;According to the net radiation,
Soil heat flux and Sensible Heating Flux calculate transpiration.
Preferably, processor is additionally operable to process remote sensing image, and remote sensing image is reduced into real information, from true
Got parms in real information.
Preferably, processor is additionally operable to according to the normalized differential vegetation index in area-of-interest, surface temperature and albedo
Search cold and hot point range.
Processor is the control centre of computer system, using each of various interfaces and the whole computer system of connection
Individual part, by running or performing software program and/or unit, module of the storage in memory, and calls storage depositing
Data in reservoir, to perform the various functions and/or processing data of computer system.Processor can be by integrated circuit
(IntegratedCircuit, abbreviation IC) is constituted, for example, can be made up of the IC of single encapsulation, it is also possible to by many of connection
The encapsulation IC of identical function or difference in functionality and constitute.In embodiments of the present invention, processor can be at least one centre
Reason device (Central Processing Unit, abbreviation CPU), CPU can be single arithmetic core, or multioperation core,
Can be the processor of physical machine, or the processor of virtual machine.
In this specification, for transpiration computational methods embodiment, computer system embodiment, because its is basic
Similar in appearance to transpiration computing device embodiment, related part is referring to the declaratives of transpiration computing device embodiment
Can, to avoid repeated description.
It is necessary that those skilled in the art can be understood that the technology in the embodiment of the present invention can add by software
The mode of hardware platform realize.Based on such understanding, the technical scheme in the embodiment of the present invention is substantially right in other words
The part that prior art contributes can be embodied in the form of software product, and the computer software product can be stored
In storage medium, such as ROM/RAM, magnetic disc and CD, including some instructions, it is used to cause to include the meter of processor and memory
Calculate machine equipment (can be personal computer, server or network equipment etc.) and perform each embodiment of the invention or embodiment
Method described in some parts.
The above is only specific embodiment of the invention, is made skilled artisans appreciate that or realizing this hair
It is bright.Various modifications to these embodiments will be apparent to one skilled in the art, as defined herein
General Principle can in other embodiments be realized in the case where design of the invention or scope is not departed from.Therefore it is of the invention
The embodiments shown herein is not intended to be limited to, but meets consistent with principles disclosed herein and features of novelty
Scope most wide.
Embodiment of the present invention above, is not intended to limit the scope of the present invention..
Claims (10)
1. a kind of transpiration computing device, including acquiring unit, net radiation determining unit, soil heat flux determining unit, sense
Heat flux determining unit and computing unit;
The acquiring unit respectively with the net radiation determining unit, soil heat flux determining unit and Sensible Heating Flux determining unit
Connection, for being got parms from remote sensing image;
The net radiation determining unit is used for the parameter determination net radiation according to the acquisition;
The soil heat flux determining unit is used for the parameter determination soil heat flux according to the acquisition;
The Sensible Heating Flux determining unit includes cold and hot point range searching modul and judge module, and the cold and hot point range searches mould
Block is used to choose area-of-interest in the remote sensing image, and cold and hot point range is searched in the area-of-interest;
The judge module is used to choose the first cold and hot point in the cold and hot point range, will the described first cold and hot point with this first
Cold and hot point around cold and hot point is compared, judge be between the cold and hot point around the described first cold and hot point and the first cold and hot point
It is no to meet the condition of Space Consistency, it is if meeting the condition of Space Consistency, the described first cold and hot point is cold and hot as target
Point;If being unsatisfactory for the condition of Space Consistency, cold and hot point is chosen again in the cold and hot point range, be compared judgement,
If not finding the cold and hot point of target in the cold and hot point range, searched again using the cold and hot point range searching modul cold and hot
Point range, searches the cold and hot point of target, until finding the cold and hot point of target in the cold and hot point range that this is searched again;
The Sensible Heating Flux determining unit is used for the parameter determination sense obtained according to the cold and hot point of the target and from remote sensing image
Heat flux;
The computing unit connects with net radiation determining unit, soil heat flux determining unit and Sensible Heating Flux determining unit respectively
Connect, for calculating transpiration according to the net radiation, soil heat flux and Sensible Heating Flux.
2. transpiration computing device according to claim 1, it is characterised in that the acquiring unit includes treatment mould
Block, the processing module is used to process the remote sensing image, the remote sensing image is reduced into real information, from institute
State and get parms in real information.
3. transpiration computing device according to claim 1 and 2, it is characterised in that the ginseng that the acquiring unit is obtained
Number includes the gain of visible light wave range and side-play amount, sun altitude, the gain of Thermal infrared bands and side-play amount.
4. transpiration computing device according to claim 1 and 2, it is characterised in that the cold and hot point range searches mould
Root tuber searches the cold and hot point range according to the normalized differential vegetation index in the area-of-interest, surface temperature and albedo.
5. a kind of transpiration computational methods, comprise the following steps:
Got parms from remote sensing image;
Parameter determination net radiation according to the acquisition;
Parameter determination soil heat flux according to the acquisition;
Area-of-interest is chosen in the remote sensing image, cold and hot point range is searched in the area-of-interest;
The first cold and hot point is chosen in the cold and hot point range, will be cold and hot around the described first cold and hot point and the first cold and hot point
Whether point is compared, and judges meet Space Consistency between the cold and hot point around the described first cold and hot point and the first cold and hot point
Condition, if meeting the condition of Space Consistency, using the described first cold and hot point as the cold and hot point of target;If being unsatisfactory for space one
The condition of cause property, then choose cold and hot point again in the cold and hot point range, this step is repeated, if in the cold and hot point range
The cold and hot point of target is not found, then searches cold and hot point range again, target is searched in the cold and hot point range that this is searched again cold and hot
Point, until finding the cold and hot point of target;
The parameter determination Sensible Heating Flux obtained according to the cold and hot point of the target and from remote sensing image;
Transpiration is calculated according to the net radiation, soil heat flux and Sensible Heating Flux.
6. transpiration computational methods according to claim 5, it is characterised in that to the remote sensing image
Reason, real information is reduced to by the remote sensing image, is got parms from the real information.
7. transpiration computational methods according to claim 5 or 6, it is characterised in that obtained from the remote sensing image
Parameter including visible light wave range gain and side-play amount, sun altitude, the gain of Thermal infrared bands and side-play amount.
8. transpiration computational methods according to claim 5 or 6, it is characterised in that including according to the region of interest
Normalized differential vegetation index, surface temperature and albedo in domain search the cold and hot point range.
9. a kind of computer system, including processor and memory, the processor are connected with the memory by bus, institute
Processor is stated, for being got parms from remote sensing image;
Parameter determination net radiation according to the acquisition;
Parameter determination soil heat flux according to the acquisition;
Area-of-interest is chosen in the remote sensing image, cold and hot point range is searched in the area-of-interest;
The first cold and hot point is chosen in the cold and hot point range, will be cold and hot around the described first cold and hot point and the first cold and hot point
Whether point is compared, and judges meet Space Consistency between the cold and hot point around the described first cold and hot point and the first cold and hot point
Condition, if meeting the condition of Space Consistency, using the described first cold and hot point as the cold and hot point of target;If being unsatisfactory for space one
The condition of cause property, then choose cold and hot point again in the cold and hot point range, this step is repeated, if in the cold and hot point range
The cold and hot point of target is not found, then searches cold and hot point range again, target is searched in the cold and hot point range that this is searched again cold and hot
Point, until finding the cold and hot point of target;
The parameter determination Sensible Heating Flux obtained according to the cold and hot point of the target and from remote sensing image;
Transpiration is calculated according to the net radiation, soil heat flux and Sensible Heating Flux.
10. computer system according to claim 9, it is characterised in that the processor is additionally operable to the remote sensing shadow
As being processed, the remote sensing image is reduced to real information, is got parms from the real information.
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