CN112307641B - Identification method, terminal and readable storage medium for surface temperature cold and hot extreme points - Google Patents

Identification method, terminal and readable storage medium for surface temperature cold and hot extreme points Download PDF

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CN112307641B
CN112307641B CN202011266001.2A CN202011266001A CN112307641B CN 112307641 B CN112307641 B CN 112307641B CN 202011266001 A CN202011266001 A CN 202011266001A CN 112307641 B CN112307641 B CN 112307641B
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partition
partitions
temperature values
temperature
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CN112307641A (en
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陈春波
罗格平
郑宏伟
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Xinjiang Institute of Ecology and Geography of CAS
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/007Radiation pyrometry, e.g. infrared or optical thermometry for earth observation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J2005/0077Imaging
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08Thermal analysis or thermal optimisation

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Abstract

The application provides a method for identifying cold and hot extreme points of surface temperature, a terminal and a readable storage medium, comprising the following steps: dividing the target area into a plurality of partitions; acquiring the environmental characteristics of each partition, wherein the environmental characteristics comprise: high surface moisture content and low surface moisture content; judging whether the environmental characteristics of all the partitions are consistent; under the condition that the environmental characteristics of all the subareas are consistent, acquiring the temperature values of all the subareas, the average value of all the temperature values and the mean square value of all the temperature values; judging whether the difference value of the temperature values and the average values of all the partitions is greater than three times of the mean square value one by one, and obtaining the temperature values of all the partitions, wherein the difference value of the temperature values and the average values of the partitions is not greater than three times of the mean square value; and obtaining the maximum value and the minimum value in the temperature values of all the partitions with the difference value of the temperature values of the partitions and the average value not more than three times of the mean square difference value, wherein the partition corresponding to the maximum value is a hot extreme point, and the partition corresponding to the minimum value is a cold extreme point.

Description

Identification method, terminal and readable storage medium for surface temperature cold and hot extreme points
Technical Field
The application relates to the field of surface temperature processing, in particular to a method for identifying cold and hot extreme points of surface temperature, a terminal and a readable storage medium.
Background
Land surface evaporation is an important link of water circulation, and 90% of precipitation in arid areas is returned to the atmosphere in an evaporation form. Land evapotranspiration comes from a complex source, the space-time difference is obvious and difficult to directly measure, and the land evapotranspiration is estimated by adopting a remote sensing technology in more area scales, namely a remote sensing inversion evapotranspiration model; the SEABAL model is one of the most widely used remote sensing evapotranspiration models at present based on the energy balance principle. SEABAL model presumes that cold/hot extreme points exist in the region (namely extreme value conditions for representing the surface temperature), the sensible heat flux of the cold point is 0, and the latent heat flux of the hot point is 0; the temperature difference of the earth and the earth surface is in a linear relation. Therefore, the accurate selection of the inversion surface temperature about the cold/hot extreme point value based on the remote sensing image in the region is remarkable in the estimation of the surface heat flux, especially land evaporation; the research finds that: the lower hot spot temperature and the higher cold spot temperature have a greater impact on the evapotranspiration estimation than the higher hot spot temperature and the lower cold spot temperature.
At present, based on the selection of cold/hot extreme points of the surface temperature by remote sensing inversion evaporation, a plurality of documents can brief the regional distribution profile of the cold/hot extreme points, but avoid specific operation links and verification of results, for example: the cold point is a pixel with very low surface temperature and at a potential evapotranspiration level (sensible heat flux is approximately equal to 0); the hot spot is a pel where the surface temperature is very high and the evapotranspiration is almost zero (latent heat flux is approximately 0), i.e., the sensible heat flux is at a maximum. Therefore, in quantitative remote sensing, it is difficult to quickly and accurately determine the value and position of the cold/hot extreme point based on the surface temperature inverted by the remote sensing image.
Disclosure of Invention
The application provides a method for identifying cold and hot extreme points of surface temperature, which comprises the following steps:
dividing the target area into a plurality of partitions;
Acquiring the environmental characteristics of each partition, wherein the environmental characteristics comprise: high surface moisture content and low surface moisture content;
Judging whether the environmental characteristics of all the partitions are consistent;
Under the condition that the environmental characteristics of all the subareas are consistent, acquiring temperature values of all the subareas, average values of all the temperature values and mean square values of all the temperature values;
Judging whether the difference value between the temperature values of all the partitions and the average value is more than three times of the mean square value one by one, and obtaining all the partition temperature values of which the difference value between the temperature values of the partitions and the average value is not more than three times of the mean square value;
And obtaining the maximum value and the minimum value in all the temperature values of the partitions, wherein the difference value between the temperature value of the partition and the average value is not more than three times of the mean square difference value, the partition corresponding to the maximum value is a thermal extreme point, and the partition corresponding to the minimum value is a cold extreme point.
Further, the method further comprises the following steps:
In the case that the environmental characteristics of part of the subareas are inconsistent with the environmental characteristics of the other part of the subareas, determining all the subareas with the environmental characteristics of high surface water content as a first subarea, and determining all the subareas with the environmental characteristics of low surface water content as a second subarea;
Acquiring temperature values of all the partitions in the first partition, average values of all the temperature values in the first partition and mean square values of all the temperature values in the first partition;
judging whether the difference value between the temperature values and the average value of all the partitions in the first partition is more than three times of the mean square value one by one, and obtaining the temperature values of all the partitions, of which the difference value between the temperature values and the average value of the partitions in the first partition is not more than three times of the mean square value;
And acquiring the minimum value of all the temperature values of the partitions, wherein the difference value between the temperature value of the partition and the average value in the first partition is not more than three times of the mean square difference value, and the partition corresponding to the minimum value is a cold extreme point.
Further, the method further comprises the following steps:
Acquiring temperature values of all the partitions in the second partition, average values of all the temperature values in the second partition and mean square values of all the temperature values in the second partition;
judging whether the difference value between the temperature values and the average value of all the partitions in the second partition is more than three times of the mean square value one by one, and obtaining the temperature values of all the partitions, of which the difference value between the temperature values and the average value of the partitions in the second partition is not more than three times of the mean square value;
And obtaining the maximum value in all the temperature values of the partitions, wherein the difference value between the temperature value of the partition and the average value in the second partition is not more than three times of the mean square difference value, and the partition corresponding to the maximum value is a thermal extreme point.
Further, the method further comprises the following steps:
and inverting the earth surface brightness temperature according to the thermal infrared band of the remote sensing image in each subarea in the target area to obtain the earth surface temperature of each subarea in the target area.
The application also provides a terminal, comprising: the system comprises a storage and a processor, wherein the storage stores a computer program capable of running on the processor, and the processor realizes the steps in the method for identifying the cold and hot extreme points of the surface temperature when executing the program.
The application also provides a computer readable storage medium, on which a computer program is stored, which when executed implements the steps in the above-mentioned method for identifying cold and hot extreme points of surface temperature.
The application provides a method, a terminal and a readable storage medium for identifying cold and hot extreme points of surface temperature, which comprise the steps of obtaining temperature values of all partitions, average values of all the temperature values and mean square values of all the temperature values; judging whether the difference value between the temperature values of all the partitions and the average value is more than three times of the mean square value one by one, and obtaining all the partition temperature values of which the difference value between the temperature values of the partitions and the average value is not more than three times of the mean square value; and obtaining the maximum value and the minimum value in all the temperature values of the partitions, wherein the difference value between the temperature value of the partition and the average value is not more than three times of the mean square difference value, the partition corresponding to the maximum value is a thermal extreme point, and the partition corresponding to the minimum value is a cold extreme point. The accuracy of the obtained cold/hot extreme points is higher because the parts of all the partitions, in which the difference between the temperature value and the average value is greater than three times the mean square value, are eliminated, and the efficiency of obtaining the cold/hot extreme points in the same region is higher because the environmental features of each partition are obtained and the partitions of the same environmental features are set as the same region.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for identifying cold and hot extreme points of surface temperature provided by an embodiment of the application;
Fig. 2 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Icon:
100-terminal; 110-a reservoir; a 120-processor; 130-an aircraft body; 140-acquisition probe.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
In describing embodiments of the present application, it should be noted that the terms "first," "second," and the like are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.
Examples
As shown in FIG. 1, the application provides a method for identifying cold and hot extreme points of surface temperature, which comprises the following steps:
S1, dividing a target area into a plurality of partitions. All the subareas jointly form a target subarea, the size of each subarea is determined according to practical conditions, for example, in the case that the area of the target area is large, the area of each subarea can be large; in the case where the area of the target area is small, the area of each partition may be small. Therefore, the total number of all the partitions is in a preset range, and the problem that the subsequent processing speed is low due to excessive partitions, so that the determination efficiency of cold/hot extreme points is reduced is avoided.
S2, acquiring the environmental characteristics of each partition, wherein the environmental characteristics comprise: high surface moisture content and low surface moisture content. The potential distribution area of cold/hot extreme points can be found by utilizing the content of the surface water, taking an arid area as an example, the cold points are generally distributed in the area with the surface water content higher than a preset value, such as a water area, an area with sufficient water supply and luxuriant vegetation growth; and the hot spots are distributed in areas with the surface water content not higher than a preset value, such as dry idle farmlands, bare lands or saline-alkali lands without vegetation coverage.
S3, judging whether the environmental characteristics of all the partitions are consistent.
S31, under the condition that the environmental characteristics of all the subareas are consistent, acquiring the temperature values of all the subareas, the average value of all the temperature values and the mean square value of all the temperature values, judging whether the difference value of the temperature values and the average value of all the subareas is more than three times of the mean square value one by one, and obtaining the temperature values of all the subareas with the difference value of the temperature values and the average value of the subareas not more than three times of the mean square value. The part of the temperature value of the subarea and the difference value of the average value which is more than three times of the mean square value is regarded as an abnormal value, and all abnormal values can be removed by judging whether the temperature values of all subareas are abnormal values or not, so that the accuracy of the obtained cold/hot extreme points is effectively improved.
S4, obtaining maximum values and minimum values in all the temperature values of the partitions, wherein the difference value between the temperature values of the partitions and the average value is not more than three times of the mean square value, the partition corresponding to the maximum value is a thermal extreme point, and the partition corresponding to the minimum value is a cold extreme point. After the abnormal values are removed, the maximum value and the minimum value in the temperature values of all the subareas with the difference value of the temperature values and the average value of the subareas not more than three times of the mean square value are respectively found, and the hot extreme point and the cold extreme point of the target area can be obtained.
The application provides a method, a terminal and a readable storage medium for identifying cold and hot extreme points of surface temperature, which comprise the steps of obtaining temperature values of all partitions, average values of all the temperature values and mean square values of all the temperature values; judging whether the difference value between the temperature values of all the partitions and the average value is more than three times of the mean square value one by one, and obtaining all the partition temperature values of which the difference value between the temperature values of the partitions and the average value is not more than three times of the mean square value; and obtaining the maximum value and the minimum value in all the temperature values of the partitions, wherein the difference value between the temperature value of the partition and the average value is not more than three times of the mean square difference value, the partition corresponding to the maximum value is a thermal extreme point, and the partition corresponding to the minimum value is a cold extreme point. The accuracy of the obtained cold/hot extreme points is higher because the parts of all the partitions, in which the difference between the temperature value and the average value is greater than three times the mean square value, are eliminated, and the efficiency of obtaining the cold/hot extreme points in the same region is higher because the environmental features of each partition are obtained and the partitions of the same environmental features are set as the same region.
As shown in fig. 1, in some embodiments of the present application, the method for identifying a cold and hot extreme point of a surface temperature may further include the following steps:
And S32, when the environmental characteristics of the partial subareas are inconsistent with the environmental characteristics of the other partial subareas, determining all subareas with all environmental characteristics of high surface water content as a first subarea, and determining all subareas with all environmental characteristics of low surface water content as a second subarea. Dividing all the partitions into a first partition and a second partition according to environmental characteristics, wherein the first partition is a potential distribution area of cold extreme points, and searching the cold extreme points in the first partition can reduce the range of searching the cold extreme points, so that the efficiency is improved; the second partition is a potential distribution area of the thermal extreme points, and the thermal extreme points are found in the second partition, so that the range for finding the thermal extreme points can be reduced, and the efficiency is improved.
S5, acquiring temperature values of all the partitions in the first partition, average values of all the temperature values in the first partition and mean square values of all the temperature values in the first partition; and judging whether the difference value of the temperature values and the average value of all the partitions in the first partition is more than three times of the mean square value one by one, and obtaining the temperature values of all the partitions, of which the difference value of the temperature values and the average value of the partitions in the first partition is not more than three times of the mean square value. The part of the first partition, where the difference value between the temperature value and the average value is greater than three times of the mean square value, is considered as an abnormal value, and by judging whether the temperature values of all the partitions in the first partition are abnormal values, all the abnormal values can be removed, so that the precision of the cold extreme point is effectively improved.
S6, obtaining the minimum value of the temperature values of all the partitions, wherein the difference value of the temperature values and the average value of the partitions in the first partition is not more than three times of the mean square difference value, and the partition corresponding to the minimum value is a cold extreme point. Namely, a cold extreme point is found in the first partition, so that the acquisition efficiency of the cold extreme point is effectively improved.
As shown in fig. 1, in some embodiments of the present application, the method for identifying a cold and hot extreme point of a surface temperature may further include the following steps:
S7, acquiring temperature values of all the partitions in the second partition, average values of all the temperature values in the second partition and mean square values of all the temperature values in the second partition; and judging whether the difference value of the temperature values and the average value of all the partitions in the second partition is more than three times of the mean square value one by one, and obtaining the temperature values of all the partitions, of which the difference value of the temperature values and the average value of the partitions in the second partition is not more than three times of the mean square value. The part of the second partition, the temperature value of which is greater than three times of the mean value is regarded as an abnormal value, and all abnormal values can be removed by judging whether the temperature values of all the partitions in the second partition are abnormal values or not, so that the accuracy of the thermal extreme point is effectively improved.
S8, obtaining the maximum value in the temperature values of all the partitions, wherein the difference value between the temperature values and the average value of the partitions in the second partition is not more than three times of the mean square difference value, and the partition corresponding to the maximum value is a thermal extreme point. Namely, a thermal extreme point is found in the second partition, so that the acquisition efficiency of the thermal extreme point is effectively improved.
As shown in fig. 1, in some embodiments of the present application, acquiring the temperature value of the partition may include the steps of:
And inverting the earth surface brightness temperature according to the thermal infrared band of the remote sensing image in each subarea in the target area to obtain the earth surface temperature of each subarea in the target area. The earth surface temperature of each subarea in the target area can be accurately obtained by inverting the earth surface brightness temperature by utilizing the thermal infrared band of the remote sensing image, so that the accuracy of the obtained temperature of each subarea is improved, and the accuracy of the finally obtained cold/hot extreme points is ensured.
As shown in fig. 2, the present application further provides a terminal 100, including: the system comprises a storage 110 and a processor 120, wherein the storage 110 is electrically connected to the processor 120, the storage 110 stores a computer program capable of running on the processor 120, and the processor 120 realizes the steps in the above-mentioned method for identifying the cold and hot extreme points of the surface temperature when executing the program. Specifically, the terminal 110 may be carried on an aircraft, the aircraft may include an aircraft body 130 and an acquisition probe 131, where the acquisition probe 131 is used for acquiring a thermal infrared band chart of a remote sensing image, the acquisition probe 131 is electrically connected to the memory 110, so that the thermal infrared band chart of the remote sensing image acquired by the acquisition probe 131 is transmitted to the memory 110 for storage, the aircraft body 130 is used for carrying the acquisition probe 131 for acquiring the thermal infrared band chart of the remote sensing image, and the aircraft body 130 may be an unmanned aerial vehicle. With the terminal 110, the operation of the method for identifying the cold and hot extreme points of the surface temperature can be realized, so as to quickly and accurately obtain the cold/hot extreme points in the target area.
The application also provides a computer readable storage medium, on which a computer program is stored, which when executed realizes the steps in the above-mentioned method for identifying the cold and hot extreme points of the surface temperature. The readable storage medium is read by a computer, and the computer can realize the operation of the identification method of the cold and hot extreme points of the surface temperature so as to quickly and accurately obtain the cold/hot extreme points in the target area.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (6)

1. The method for identifying the cold and hot extreme points of the surface temperature is characterized by comprising the following steps of:
dividing the target area into a plurality of partitions;
Acquiring the environmental characteristics of each partition, wherein the environmental characteristics comprise: high surface moisture content and low surface moisture content;
Judging whether the environmental characteristics of all the partitions are consistent;
Under the condition that the environmental characteristics of all the subareas are consistent, acquiring temperature values of all the subareas, average values of all the temperature values and mean square values of all the temperature values;
Judging whether the difference value between the temperature values of all the partitions and the average value is more than three times of the mean square value one by one, and obtaining all the partition temperature values of which the difference value between the temperature values of the partitions and the average value is not more than three times of the mean square value;
And obtaining the maximum value and the minimum value in all the temperature values of the partitions, wherein the difference value between the temperature value of the partition and the average value is not more than three times of the mean square difference value, the partition corresponding to the maximum value is a thermal extreme point, and the partition corresponding to the minimum value is a cold extreme point.
2. The method for identifying cold and hot extreme points of surface temperature according to claim 1, further comprising:
In the case that the environmental characteristics of part of the subareas are inconsistent with the environmental characteristics of the other part of the subareas, determining all the subareas with the environmental characteristics of high surface water content as a first subarea, and determining all the subareas with the environmental characteristics of low surface water content as a second subarea;
Acquiring temperature values of all the partitions in the first partition, average values of all the temperature values in the first partition and mean square values of all the temperature values in the first partition;
judging whether the difference value between the temperature values and the average value of all the partitions in the first partition is more than three times of the mean square value one by one, and obtaining the temperature values of all the partitions, of which the difference value between the temperature values and the average value of the partitions in the first partition is not more than three times of the mean square value;
And acquiring the minimum value of all the temperature values of the partitions, wherein the difference value between the temperature value of the partition and the average value in the first partition is not more than three times of the mean square difference value, and the partition corresponding to the minimum value is a cold extreme point.
3. The method for identifying cold and hot extreme points of surface temperature according to claim 2, further comprising:
Acquiring temperature values of all the partitions in the second partition, average values of all the temperature values in the second partition and mean square values of all the temperature values in the second partition;
judging whether the difference value between the temperature values and the average value of all the partitions in the second partition is more than three times of the mean square value one by one, and obtaining the temperature values of all the partitions, of which the difference value between the temperature values and the average value of the partitions in the second partition is not more than three times of the mean square value;
And obtaining the maximum value in all the temperature values of the partitions, wherein the difference value between the temperature value of the partition and the average value in the second partition is not more than three times of the mean square difference value, and the partition corresponding to the maximum value is a thermal extreme point.
4. The method for identifying a cold and hot extreme point of a surface temperature according to claim 1, 2 or 3, further comprising:
and inverting the earth surface brightness temperature according to the thermal infrared band of the remote sensing image in each subarea in the target area to obtain the earth surface temperature of each subarea in the target area.
5. A terminal, comprising: a memory and a processor, the memory storing a computer program executable on the processor, the processor implementing the steps in the method of identifying a cold and hot extreme point of a surface temperature of any one of claims 1-4 when the program is executed.
6. A computer readable storage medium, characterized in that it has stored thereon a computer program which, when executed, realizes the steps in the method for identifying cold and hot extreme points of surface temperature according to any one of claims 1-4.
CN202011266001.2A 2020-11-13 2020-11-13 Identification method, terminal and readable storage medium for surface temperature cold and hot extreme points Active CN112307641B (en)

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CN104252556A (en) * 2014-06-26 2014-12-31 中国环境科学研究院 River classification system
CN107516073A (en) * 2017-07-19 2017-12-26 二十世纪空间技术应用股份有限公司 A kind of heat production enterprise method for quickly identifying based on multi-source data
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