CN115628814A - Urban surface thermal effect space-time measurement method, terminal device and storage medium - Google Patents

Abstract

The present invention relates to a time-space measurement method of urban surface thermal effect, terminal equipment and storage medium. The method includes: S1: Based on thermal infrared remote sensing data, inversion obtains spatially continuous surface temperature grid data in the research area; S2: Computational research The average and standard deviation of the surface temperature in the area, and according to the range of the surface temperature set by the average and standard deviation, identify the high temperature area and sub-high temperature area in the study area; S3: Based on the identified high temperature area and sub-high temperature area Calculate the surface heat magnitude index and surface heat intensity index of the study area; S4: The weighted sum of the surface heat magnitude index and the surface heat intensity index of the study area is obtained to obtain the surface heat effect index of the study area. The present invention quantitatively evaluates the scope (heat range) and degree (heat intensity) of regional surface heat influence by standardized index, and can generate a spatially continuous thermal index layer, thereby more comprehensively reflecting the spatial variation of the urban surface heat environment. qualitative features.

Description

A spatio-temporal measurement method, terminal equipment, and storage medium for urban surface thermal effects

technical field

The invention relates to the application field of remote sensing geographic information technology in urban ecology, in particular to a method for measuring urban surface thermal effects in time and space, a terminal device and a storage medium.

Background technique

The urban surface thermal environment is a heat-related physical environment that can have an important impact on the human body's cold and warm feelings, health levels, and the survival and development of residents. It is usually characterized by surface temperature. With the continuous advancement of the urbanization process and the continuous growth of the urban population, a large number of natural surfaces in the city are replaced by artificial surfaces. It increases the local or overall surface temperature of the city and intensifies the thermal effect of the urban surface. The intensification of urban surface thermal effect is the main reason and important manifestation of the deterioration of urban surface thermal environment. The most typical heat island effect is closely related to the health of urban residents, social and economic development, and natural ecological environment protection.

Quantitative evaluation of urban surface thermal effects is an important basis for the study of urban surface thermal environment. Scholars have made some attempts to quantify urban surface thermal effects, such as the 3D dynamic thermal effect numerical model established based on the thermal properties of urban underlying surfaces. Or use the average surface temperature difference to calculate the thermal effects of different surface types, but the current quantitative index of surface thermal effects still has the following shortcomings: In the time dimension, due to the "instantaneous" characteristics of thermal radiation information obtained from remote sensing data and the "high The thermal effect index calculated directly based on the surface temperature has great uncertainty, so it lacks time-series representativeness, which makes it impossible to effectively analyze the long-term dynamic evolution of the urban surface thermal effect; although Some indexes use the average surface temperature in the calculation process to eliminate the uncertainty in the time series, but most of them are based on the classification statistics of land use or cover, so only the thermal effect value of the corresponding land type can be obtained, so that in the spatial dimension In fact, the spatial heterogeneity of urban surface thermal effects cannot be fully identified, resulting in the ineffective measurement and analysis of the comparison of surface thermal effects between different regions in the same city, and the differences in the surface structure of different cities are not conducive to inter-city comparisons. Comparative analysis has brought certain difficulties to fully understand the characteristics of urban thermal environment and the internal and external differences of its influencing factors.

In general, there is no general index that fully reflects the meaning of surface thermal effect, and the representativeness and effectiveness of related indices need to be improved. Therefore, there is an urgent need to develop a multi-scale spatio-temporal measurement method for urban surface thermal effects that is not affected by the difference in spatio-temporal dimension and is efficient and general.

Contents of the invention

In order to solve the above problems, the present invention proposes a spatio-temporal measurement method, terminal equipment and storage medium for urban surface thermal effects.

The specific plan is as follows:

A spatio-temporal measurement method for urban surface thermal effects, comprising the following steps:

S1: Based on the thermal infrared remote sensing data, the spatially continuous surface temperature grid data of the study area is retrieved;

S2: Calculate the average value and standard deviation of the surface temperature in the study area, and identify the high temperature area and sub-high temperature area in the study area according to the range of surface temperature set by the average value and standard deviation;

S3: Calculate the surface heat amplitude index and surface heat intensity index of the study area based on the area of the identified high temperature area and sub-high temperature area;

S4: Weighted and summed the surface heat amplitude index and surface heat intensity index in the study area to obtain the surface heat effect index in the study area.

Further, the remote sensing image data used in step S1 should have no cloud cover in the research area.

Further, in step S2, the range of the surface temperature range corresponding to the high temperature zone is: T _s >μ+std; the range of the surface temperature range corresponding to the sub-high temperature zone is: μ+0.5std<T _s ≤μ+std; where, T _s represents the surface temperature, μ represents the average value of the surface temperature, and std represents the standard deviation of the surface temperature.

Further, the surface heat magnitude index in step S3 includes the comprehensive surface heat magnitude index corresponding to the whole research area and the spatial heat magnitude index corresponding to each grid cell in the research area, and the surface heat intensity index includes the comprehensive comprehensive index corresponding to the whole research area The surface thermal intensity index and the spatial thermal intensity index corresponding to each grid pixel in the study area; in the calculation of the spatial thermal amplitude index and the spatial thermal intensity index, the moving window method is used to scan and calculate pixel by pixel, and the whole square window The calculated value is assigned to the center pixel of the window;

The formula for calculating the comprehensive surface heat range index is:

The formula for calculating the comprehensive surface heat intensity index is:

The calculation formula of the spatial surface heat amplitude index is:

The calculation formula of space surface heat intensity index is:

表示以像元i为中心的窗口包含的高温区的面积，

表示以像元i为中心的窗口包含的次高温区的面积，S_i表示以像元i为中心的窗口的总面积。Among them, HAI represents the comprehensive surface heat amplitude index of the entire study area, HII represents the comprehensive surface heat intensity index of the entire study area, _Shtz and S _shtz represent the areas of high temperature and sub-high temperature regions in the study area, respectively, and S represents the area of the study area The total area, the spatial surface heat amplitude index HAI _i represents the surface heat amplitude index of the i-th pixel, and the spatial surface heat intensity index HII _i represents the surface heat intensity index of the i-th pixel,

Indicates the area of the high-temperature region contained in the window centered on pixel i,

Indicates the area of the sub-high temperature zone contained in the window centered on pixel i, and S _i indicates the total area of the window centered on pixel i.

Further, the surface thermal effect index in step S4 includes the comprehensive surface thermal effect index corresponding to the whole research area and the spatial surface thermal effect index corresponding to each grid cell in the research area;

The calculation formula of comprehensive surface thermal effect index is: HEI=αHAI+βHII;

The calculation formula of space surface thermal effect index is: HEI _i = αHAI _i + βHII _i ;

Among them, HEI represents the comprehensive surface heating effect index of the entire study area, the spatial surface heating effect index HEI _i represents the surface heating effect index of the i-th pixel, α and β both represent weight coefficients and α+β=1.

A terminal device for space-time measurement of urban surface thermal effects, including a processor, a memory, and a computer program stored in the memory and operable on the processor, the processor implements the embodiment of the present invention when executing the computer program steps of the method described above.

A computer-readable storage medium. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the steps of the above-mentioned method in the embodiment of the present invention are implemented.

The present invention adopts the above technical scheme, which makes up for the deficiency of the existing correlation index in describing the spatial distribution characteristics of the regional surface thermal effect, and at the same time solves the problem of difficult time-space comparative analysis of the regional surface thermal effect, and realizes the scientific, quantitative and effective measurement of the urban surface thermal effect, intuitively Reveal the temporal evolution and spatial distribution characteristics of urban surface thermal environment.

Description of drawings

FIG. 1 is a flowchart of Embodiment 1 of the present invention.

Fig. 2 is a graph showing the inversion results of the surface temperature in Embodiment 1 of the present invention.

Fig. 3 is a diagram showing the results of the land surface temperature divisions in Embodiment 1 of the present invention.

FIG. 4 is a diagram showing the result of spatial distribution of surface heat amplitude in Embodiment 1 of the present invention.

FIG. 5 is a diagram showing the spatial distribution results of surface thermal intensity in Embodiment 1 of the present invention.

FIG. 6 is a diagram showing the spatial distribution results of surface thermal effects in Embodiment 1 of the present invention.

Detailed ways

To further illustrate the various embodiments, the present invention is provided with accompanying drawings. These drawings are a part of the disclosure of the present invention, which are mainly used to illustrate the embodiments, and can be combined with related descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, those skilled in the art should understand other possible implementations and advantages of the present invention.

The present invention will be further described in conjunction with the accompanying drawings and specific embodiments.

Embodiment one:

An embodiment of the present invention provides a method for measuring urban surface thermal effects in space and time, as shown in Figure 1, the method includes the following steps:

S1: Based on the thermal infrared remote sensing data, the spatially continuous surface temperature grid data of the study area is obtained by inversion.

In this example, Xiamen Island and Kinmen Island, which have the same area size, geographical location, and climate conditions, but with significant differences in urbanization levels, were used as the research area, and Landsat series remote sensing data of seven periods of clear and cloudless periods in the study area from 2000 to 2020 were obtained. Image data with a temporal resolution of 3 or 4 years and a spatial resolution of 30m. Based on the Landsat TM6/TIRS10 data, the surface temperature of two inhabited islands was obtained by using the single-window algorithm, as shown in Figure 2.

S2: Calculate the average and standard deviation of the surface temperature in the study area, and identify the high temperature area and sub-high temperature area in the study area according to the range of surface temperature set by the average and standard deviation.

In this example, on the basis of calculating the average and standard deviation of the respective surface temperatures of the two islands, the surface temperatures of Xiamen Island and Jinmen Island are divided according to the principle of interval division shown in Table 1, and high temperature areas and sub-high temperature areas are identified area, as shown in Figure 3.

Table 1

Among them, T _s represents the surface temperature, μ represents the average value of the surface temperature, and std represents the standard deviation of the surface temperature.

S3: Calculate the surface heat amplitude index and surface heat intensity index of the study area based on the areas of the identified high temperature areas and sub-high temperature areas.

In this embodiment, the surface heat magnitude index includes the comprehensive surface heat magnitude index corresponding to the whole research area and the spatial heat magnitude index corresponding to each grid cell in the research area, and the surface heat intensity index includes the comprehensive surface heat magnitude index corresponding to the whole research area. The intensity index and the spatial heat intensity index of each grid cell in the corresponding study area.

The formula for calculating the comprehensive surface heat range index is:

The formula for calculating the comprehensive surface heat intensity index is:

表示以像元i为中心的窗口包含的高温区的面积，

表示以像元i为中心的窗口包含的次高温区的面积，S_i表示以像元i为中心的窗口的总面积。可见，地表热强度指数为区域高温区面积占比，强调研究区的热力属性性质差异；地表热幅度指数为区域热区(高温区和次高温区)面积占比，强调研究区的热力影响空间范围差异。Among them, HAI (0<HAI<1) is the comprehensive surface heat amplitude index of the whole study area, HII (0<HII<1) is the comprehensive surface heat intensity index of the whole study area, _Shtz and S _shtz respectively represent the The area of the high temperature area and the sub-high temperature area, S represents the total area of the study area, the spatial surface heat amplitude index HAI _i (0≤HAI _i ≤1) represents the surface heat amplitude index of the i-th pixel, and the spatial surface heat intensity index HII _i (0≤HII _i ≤1) represents the surface heat intensity index of the i-th pixel,

Indicates the area of the high-temperature region contained in the window centered on pixel i,

Indicates the area of the sub-high temperature zone contained in the window centered on pixel i, and S _i indicates the total area of the window centered on pixel i. It can be seen that the surface heat intensity index is the area ratio of the regional high temperature area, emphasizing the differences in the thermal properties of the study area; the surface heat amplitude index is the area proportion of the regional hot area (high temperature area and sub-high temperature area), emphasizing the thermal influence space of the study area range difference.

For the two inhabited islands studied in this example, the calculation results of the surface heat amplitude index and surface heat intensity index from 2000 to 2020 are shown in Table 2 below. The results show that, in terms of time series evolution, the fluctuation of surface heat amplitude in Xiamen Island decreases, but the fluctuation of surface heat intensity increases; on the contrary, the amplitude of surface heat in Jinmen Island increases in fluctuation, but the surface heat intensity decreases in fluctuation . In terms of spatial comparison, the annual average surface heat amplitude of Xiamen Island is slightly larger than that of Kinmen Island, but the annual average surface heat intensity is smaller than that of Kinmen Island.

Table 2

空间地表热强度指数的计算公式为：

其中，空间地表热幅度指数HAI_i(0≤HAI_i≤1)表示第i个像元的地表热幅度指数，空间地表热强度指数HII_i(0≤HII_i≤1)表示第i个像元的地表热强度指数，

表示以像元i为中心的窗口包含的高温区的面积，

表示以像元i为中心的窗口包含的次高温区的面积，S_i表示以像元i为中心的窗口的总面积。Furthermore, the moving window method is used to assign the overall calculation value of the window to the center pixel of the window, and through pixel-by-pixel scanning calculation, the spatialization of the surface heat intensity and surface heat amplitude within the study area is realized, which are respectively defined as the spatial surface heat amplitude Index and Spatial Surface Heat Intensity Index. The calculation formula of the spatial surface heat amplitude index is:

The calculation formula of space surface heat intensity index is:

Among them, the spatial surface heat amplitude index HAI _i (0≤HAI _i ≤1) represents the surface heat amplitude index of the i-th pixel, and the spatial surface heat intensity index HII _i (0≤HII _i ≤1) represents the i-th pixel The surface heat intensity index of

Indicates the area of the high-temperature region contained in the window centered on pixel i,

Indicates the area of the sub-high temperature zone contained in the window centered on pixel i, and S _i indicates the total area of the window centered on pixel i.

The moving window is generally a square grid, and its size will directly affect the specific calculation value of its central pixel, and the spatial distribution of the surface thermal effect calculated by the moving window that is too small, its numerical distribution is too discrete and lacks attribute continuity; The spatial distribution of the thermal effect calculated with a large moving window has a large spatial granularity, and the spatial details are easily lost. In the actual application process, in order to ensure the continuity of the obtained numerical attributes and fully reflect the details of the spatial distribution of the heat index, it is necessary to consider the spatial resolution of the surface temperature raster data and the actual analysis requirements to determine the size of the moving window. For the two inhabited islands studied in this example, the spatial thermal amplitude index and spatial thermal intensity index are calculated with a grid size of 210×210m to obtain the spatial distribution of the surface thermal amplitude and surface thermal intensity of Xiamen Island and Kinmen Island The results are shown in Figure 4 and Figure 5.

S4: Weighted and summed the surface heat amplitude index and surface heat intensity index in the study area to obtain the surface heat effect index in the study area.

In this embodiment, the surface thermal effect index includes a comprehensive surface thermal effect index corresponding to the whole research area and a spatial surface thermal effect index corresponding to each grid cell in the research area. The calculation formula of comprehensive surface heat effect index HEI (0<HEI<1) is: HEI=αHAI+βHII. Wherein, α and β are weight coefficients and α+β=1. It can be seen that the comprehensive surface thermal effect index combines the meanings of the regional surface thermal range and surface thermal intensity, not only considers the difference in thermal properties, but also considers the difference in the spatial range of thermal influence, and can be based on the actual research goals and needs. , the weight coefficients are adjusted to generate a suitable targeted thermal effect index. In particular, α = β = 0.5 under the assumption that the magnitude of the surface heat and the intensity of the surface heat have the same contribution to the surface heat effect.

For the two inhabited islands studied in this example, it is considered that the surface heat range and surface heat intensity have the same contribution to the surface heat effect, and α = β = 0.5, and the calculated comprehensive surface heat effect index is shown in Table 3 below. The results show that, from 2000 to 2020, the comprehensive surface thermal effect of the two islands fluctuated and intensified, and the multi-year average comprehensive surface thermal effect of Kinmen Island was slightly stronger than that of Xiamen Island.

table 3

years 2000 2003 2006 2010 2014 2017 2020 Multi-year average Xiamen Island 22.48 22.02 23.75 22.12 21.33 22.74 22.79 22.46 Golden Gate Island 21.75 24.41 22.36 23.00 23.16 22.59 22.95 22.89

The space surface heat effect index is calculated by using the space surface heat amplitude index and the space surface heat intensity index to realize the spatialization of the surface heat effect. The calculation formula is: HEI _i =αHAI _i +βHII _i . Among them, HEI _i (0≤HEI _i ≤1) is the spatial thermal effect index, that is, the surface thermal effect index of pixel i. Based on the spatialization results of the surface heat amplitude and surface heat intensity of the two islands, the spatial distribution results of the surface heat effects of the two islands are shown in Figure 6. It can be seen that due to the joint influence of the surface heat intensity and the spatial distribution of the surface heat effect, the areas with strong surface heat effects in Xiamen Island are mainly concentrated in the northern and southeastern coasts of the island, while the areas with strong surface heat effects in Kinmen Island are mainly distributed in the northern coast and the southern bay. .

In summary, the spatio-temporal measurement method of urban surface heat effect provided by this example combines the specific surface temperature zoning pattern and research needs, and uses a standardized index to affect the range (surface heat range) and degree (surface heat intensity) of the regional surface heat. Quantitative evaluation was carried out to generate a surface thermal effect index that can be used for both longitudinal temporal dynamic evolution exploration and horizontal regional spatial comparative analysis, fully characterizing the regional surface thermal environment. In particular, the spatial analysis technology is further used to apply the corresponding thermal index to the pixel-by-pixel calculation of the geothermal zonal grid layer to generate a spatially continuous thermal index layer, thereby more comprehensively reflecting the spatial heterogeneity of the urban surface thermal environment sexual characteristics.

The specific embodiment provided by the present invention shows that at the same time, when the research area involves multiple cities (or other basic analysis units) and long-term series analysis, the urban surface thermal effect time-space measurement method provided by this embodiment can not only reflect the same city unit. The differences in thermal environment characteristics of each landscape type in different periods can also compare the impact of urbanization development process on regional surface thermal effects among different urban units in the same period.

Embodiment two:

The present invention also provides a terminal device for space-time measurement of urban surface thermal effects, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, the Steps in the above method embodiment of Embodiment 1 of the present invention.

Furthermore, as an executable solution, the terminal device for measuring urban surface thermal effects in space and time can be computing devices such as desktop computers, notebooks, palmtop computers, and cloud servers. The spatio-temporal measurement terminal device of urban surface thermal effect may include, but not limited to, a processor and a memory. Those skilled in the art can understand that the composition and structure of the above-mentioned space-time measurement terminal equipment of urban surface thermal effect is only an example of the time-space measurement terminal equipment of urban surface thermal effect, and does not constitute a limitation on the time-space measurement terminal equipment of urban surface thermal effect, and may include more than the above or fewer components, or a combination of certain components, or different components, for example, the terminal device for measuring the thermal effect of urban surface space-time may also include input and output devices, network access devices, buses, etc., which are not covered by the embodiment of the present invention limited.

Further, as an executable solution, the so-called processor can be a central processing unit (Central Processing Unit, CPU), and can also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc., and the processor is the control center of the terminal equipment for measuring the thermal effect of the urban surface, and connects the entire urban surface with various interfaces and lines. Spatiotemporal measurement of thermal effects on various parts of the terminal equipment.

The memory can be used to store the computer programs and/or modules, and the processor realizes the city by running or executing the computer programs and/or modules stored in the memory and calling the data stored in the memory. Various functions of terminal equipment for space-time measurement of surface thermal effect. The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required by a function; the data storage area may store data created according to the use of the mobile phone, and the like. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, internal memory, plug-in hard disk, smart memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card , a flash memory card (Flash Card), at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.

The present invention also provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method in the embodiment of the present invention are implemented.

If the integrated modules/units of the spatio-temporal measurement terminal equipment for urban surface thermal effects are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the present invention realizes all or part of the processes in the methods of the above embodiments, and can also be completed by instructing related hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer When the program is executed by the processor, the steps in the above-mentioned various method embodiments can be realized. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-OnlyMemory), Random Access Memory (RAM, Random Access Memory) and software distribution media, etc.

Although the present invention has been particularly shown and described in connection with preferred embodiments, it will be understood by those skilled in the art that changes in form and details may be made to the present invention without departing from the spirit and scope of the invention as defined by the appended claims. Making various changes is within the protection scope of the present invention.

Claims (7)

1. A space-time measuring method for urban ground surface thermal effect is characterized by comprising the following steps:

s1: based on the thermal infrared remote sensing data, performing inversion to obtain surface temperature grid data which are continuous in the range space of the research area;

s2: calculating the average value and the standard deviation of the surface temperature in the research area range, and identifying a high-temperature area and a secondary high-temperature area of the research area according to the surface temperature interval range set by the average value and the standard deviation;

s3: calculating the surface heat amplitude index and the surface heat intensity index of the research area based on the areas of the identified high-temperature area and the second high-temperature area;

s4: and carrying out weighted summation on the earth surface heat amplitude index and the earth surface heat intensity index of the research area to obtain the earth surface heat effect index of the research area.

2. The method for spatiotemporal measurement of urban terrestrial thermoeffects according to claim 1, characterized in that: in the remote sensing image data adopted in the step S1, the research area range of the remote sensing image data is free from cloud shielding.

3. The method for spatiotemporal measurement of urban terrestrial thermoeffects according to claim 1, characterized in that: in step S2, the earth surface temperature interval range corresponding to the high temperature zone is: t is _s Mu + std; the earth surface temperature interval range corresponding to the secondary high temperature area is as follows: mu +0.5std < T _s Less than or equal to mu + std; wherein, T _s Represents the surface temperature, μ represents the mean of the surface temperature, and std represents the standard deviation of the surface temperature.

4. The method for spatiotemporal measurement of urban terrestrial thermoeffects according to claim 1, characterized in that: the surface heat amplitude index in the step S3 comprises a comprehensive surface heat amplitude index corresponding to the whole research area and a space heat amplitude index corresponding to each grid pixel in the research area, and the surface heat intensity index comprises a comprehensive surface heat intensity index corresponding to the whole research area and a space heat intensity index corresponding to each grid pixel in the research area; in the calculation of the spatial heat amplitude index and the spatial heat intensity index, pixel-by-pixel scanning calculation is carried out by a moving window method, and the integral calculation value of the square window is assigned to a window center pixel;

the calculation formula of the comprehensive earth surface heat amplitude index is as follows:

the calculation formula of the comprehensive surface heat intensity index is as follows:

the calculation formula of the spatial surface heat amplitude index is as follows:

the calculation formula of the spatial surface heat intensity index is as follows:

wherein HAI represents the comprehensive surface heat amplitude index of the whole research area, HII represents the comprehensive surface heat intensity index of the whole research area, and S _htz And S _shtz Respectively representing the areas of a high-temperature area and a second high-temperature area of the research area, S representing the total area of the research area and the spatial earth surface heat amplitude index HAI _i The surface heat amplitude index and the spatial surface heat intensity index HII of the ith pixel element are represented _i Represents the surface heat intensity index of the ith pixel element,

indicates the area of the high-temperature region contained in the window with the pixel i as the center,

denotes the area of the sub-high temperature region contained in the window centered on the pixel i, S _i Representing the total area of the window centred on the pixel element i.

5. The method for spatiotemporal measurement of urban terrestrial thermoeffects according to claim 4, characterized in that: the surface thermal effect index in the step S4 comprises a comprehensive surface thermal effect index corresponding to the whole research area and a space surface thermal effect index corresponding to each grid pixel in the research area;

the calculation formula of the comprehensive earth surface heat effect index is as follows: HEI = α HAI + β HII;

the calculation formula of the spatial earth surface heat effect index is as follows: HEI _i ＝αHAI _i +βHII _i ；

Wherein HEI represents the comprehensive surface heat effect index of the whole research area, and the space surface heat effect index HEI _i The surface thermal effect index of the ith pixel element is shown, alpha and beta both represent weight coefficients and alpha + beta =1.

6. A terminal device for urban earth surface thermal effect space-time measurement is characterized in that: comprising a processor, a memory and a computer program stored in said memory and running on said processor, said processor implementing the steps of the method according to any one of claims 1 to 5 when executing said computer program.

7. A computer-readable storage medium storing a computer program, characterized in that: the computer program realizing the steps of the method as claimed in any one of claims 1 to 5 when executed by a processor.

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