CN114414744A - Space-time dynamic analysis method, device and equipment for ecological environment remote sensing monitoring index - Google Patents
Space-time dynamic analysis method, device and equipment for ecological environment remote sensing monitoring index Download PDFInfo
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Abstract
The present disclosure provides a method, a device and a device for space-time dynamic analysis of ecological environment remote sensing monitoring indexes, wherein the method comprises the following steps: acquiring an ecological environment remote sensing monitoring index of data analysis to be performed currently; determining an index type corresponding to the remote sensing data based on the ecological environment remote sensing monitoring index; calling a corresponding analysis model according to the index type, and reading required remote sensing data according to the called analysis model; and analyzing the remote sensing data by using the analysis model to obtain an analysis result, so that the reanalysis of the ecological environment remote sensing monitoring index data of different index types is realized by calling the analysis model corresponding to the index type, and the requirement of different services on reanalysis of the ecological environment remote sensing monitoring index is met.
Description
Technical Field
The disclosure relates to the technical field of computers, in particular to a space-time dynamic analysis method, a device and equipment for ecological environment remote sensing monitoring indexes.
Background
The ecological environment problem is highly emphasized by the state at present, and decision analysis of ecological risk monitoring and ecological protection and restoration are particularly important from ten aspects of water, soil and gas propulsion, comprehensive treatment of lake, grass and sand in mountainous, watery, forest, field and lake, and further to pollution reduction, carbon reduction, synergistic interaction and other policies.
With the rapid development of the remote sensing technology from visible light to a full spectrum, from passive to active and passive cooperation, and from low resolution to high precision, the remote sensing data has the characteristics of big data, and has the advantages of wide coverage, high timeliness, periodic comparability and the like, the application of the remote sensing big data in the field of ecological environment is more and more extensive, the related inversion algorithm is gradually developed and tends to mature, and the ecological environment monitoring capability is remarkably improved. The dynamic remote sensing monitoring of the optical thickness of the aerosol, PM2.5, PM10, sulfur dioxide, nitrogen dioxide, methane, ozone, carbon dioxide and the like is realized in the aspect of atmospheric environment; the dynamic remote sensing monitoring of chlorophyll a concentration, suspended matters, transparency, turbidity, sea surface temperature and the like is realized in the aspect of water environment; the land ecology aspect realizes dynamic remote sensing monitoring of land utilization classification, surface temperature, vegetation index, leaf area index, vegetation coverage, water and soil loss sensitivity, land desertification sensitivity, land salinization sensitivity, stony desertification sensitivity, water and soil conservation ecological service function, water conservation ecological service function, wind prevention and sand fixation ecological service function and the like.
In recent years, as the maturity of the ecological environment remote sensing model is gradually improved, the ecological environment remote sensing has been converted from scientific research to production, and a large number of related ecological environment monitoring systems are supported by the nation, which cover the acquisition and pretreatment of ecological environment monitoring data, the calculation of ecological environment monitoring indexes and the display of thematic maps of monitoring products.
However, most of the existing research and construction of related monitoring systems for ecological environment are on the level of index calculation or product thematic map display, and cannot meet the requirement of reanalysis of remote sensing monitoring indexes for ecological environment by different services, and the problem of the last kilometer of users cannot be solved.
Disclosure of Invention
In view of the above, the present disclosure provides a method, an apparatus, and a device for spatio-temporal dynamic analysis of an ecological environment remote sensing monitoring index, which can meet the requirement of different services for reanalysis of the ecological environment remote sensing monitoring index.
According to a first aspect of the present disclosure, there is provided a method for spatiotemporal dynamic analysis of an ecological environment remote sensing monitoring index, comprising:
acquiring an ecological environment remote sensing monitoring index of data analysis to be performed currently;
determining an index type corresponding to the remote sensing data based on the ecological environment remote sensing monitoring index;
calling a corresponding analysis model according to the index type, and reading required remote sensing data according to the called analysis model;
analyzing the remote sensing data by using the analysis model to obtain an analysis result;
wherein the analytical model comprises: at least one of an ecological evolution model, a space analysis model, a time sequence analysis model, a same-region comparison analysis model and a different-region comparison analysis model.
In one possible implementation manner, the remote sensing monitoring index of the ecological environment includes: the land utilization type, at least one of an atmospheric environment monitoring index, a water environment monitoring index and a land ecology monitoring index;
the index types include: at least one of a land use type, a mean product, and a graded product.
In a possible implementation manner, the remote sensing monitoring index of the ecological environment is bound with the index type in a labeling manner.
In a possible implementation manner, when the corresponding analysis model is called according to the index type, the analysis is performed according to a preset model configuration rule.
In a possible implementation manner, when the corresponding analysis model is called according to the index type, the method includes:
calling the ecological evolution model when the index type is a land utilization type;
when the index type is a mean value product, calling at least one analysis model of the space analysis model, the time sequence analysis model, the same-region comparison analysis model and the different-region comparison analysis model;
and when the index type is a hierarchical product, calling at least one analysis model of the space analysis model, the time sequence analysis model, the same-region comparison analysis model and the different-region comparison analysis model.
In a possible implementation manner, when reading required remote sensing data according to the called analysis model, the method includes:
when the analysis model is an ecological evolution model, reading required remote sensing data comprising a two-stage remote sensing image about the ecological environment remote sensing monitoring index and vector range data of a research area;
when the analysis model is a spatial analysis model, reading required remote sensing data comprising a first-stage remote sensing image about the ecological environment remote sensing monitoring index and partitioned vector range data of a research area;
when the analysis model is a time sequence analysis model, reading required remote sensing data comprising at least two periods of remote sensing images about the ecological environment remote sensing monitoring index and vector range data of a research area;
when the analysis model is a same-region comparison analysis model, reading required remote sensing data comprising at least two periods of remote sensing images about the same ecological environment remote sensing monitoring index or the same-period remote sensing images about at least two ecological environment remote sensing monitoring indexes and vector range data of a research region;
and when the analysis model is a different-region comparison analysis model, reading required remote sensing data comprising at least two periods of remote sensing images related to the ecological environment remote sensing monitoring index and partitioned vector range data of a research region.
In a possible implementation manner, after obtaining the analysis result, the method further includes:
and displaying the analysis result by adopting a visualization method corresponding to the analysis model.
According to a second aspect of the present disclosure, there is provided a space-time dynamic analysis device for remote sensing monitoring indexes of ecological environment, comprising:
the ecological environment remote sensing monitoring index acquisition module is used for acquiring an ecological environment remote sensing monitoring index of which data analysis is required currently;
the index type acquisition module is used for determining an index type corresponding to the remote sensing data based on the ecological environment remote sensing monitoring index;
the analysis model acquisition module is used for calling a corresponding analysis model according to the index type and reading required remote sensing data according to the called analysis model;
the data analysis module is used for analyzing the remote sensing data by using the analysis model to obtain an analysis result;
wherein the analytical model comprises: at least one of an ecological evolution model, a space analysis model, a time sequence analysis model, a same-region comparison analysis model and a different-region comparison analysis model.
According to a third aspect of the present disclosure, there is provided a space-time dynamic analysis device for remote sensing monitoring indexes of an ecological environment, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to perform the above method.
According to a fourth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer program instructions, wherein the computer program instructions, when executed by a processor, implement the above-described method.
In the method, an ecological environment remote sensing monitoring index for data analysis is obtained; determining an index type corresponding to the remote sensing data based on the ecological environment remote sensing monitoring index; calling a corresponding analysis model according to the index type, and reading required remote sensing data according to the called analysis model; and analyzing the remote sensing data by using the analysis model to obtain an analysis result, so that the reanalysis of the ecological environment remote sensing monitoring index data of different index types is realized by calling the analysis model corresponding to the index type, and the requirement of different services on reanalysis of the ecological environment remote sensing monitoring index is met.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a schematic flow chart diagram illustrating a method for spatiotemporal dynamic analysis of remote sensing indicators of an ecological environment according to an embodiment of the present disclosure;
FIG. 2 illustrates a visualization effect graph of an ecological evolution model according to an embodiment of the present disclosure;
FIG. 3 illustrates a visualization effect graph of a spatial analysis model according to an embodiment of the present disclosure;
FIG. 4 illustrates a visualization effect graph of a temporal analysis model according to an embodiment of the present disclosure;
FIG. 5 illustrates a visualization effect graph of a contrastive analysis model according to an embodiment of the present disclosure;
FIG. 6 illustrates a visualization effect graph of a heterogeneous contrast analysis model according to an embodiment of the present disclosure;
FIG. 7 is a schematic block diagram of a spatiotemporal dynamic analysis device for remote sensing monitoring indexes of ecological environment according to an embodiment of the present disclosure;
fig. 8 shows a schematic block diagram of a space-time dynamic analysis device for remote sensing monitoring indexes of ecological environment according to an embodiment of the present disclosure.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
< method examples >
Fig. 1 shows a schematic flow chart of a spatiotemporal dynamic analysis method of an ecological environment remote sensing monitoring index according to an embodiment of the present disclosure. As shown in fig. 1, the method includes steps S110-S140.
And S110, acquiring the remote sensing monitoring index of the ecological environment to be subjected to data analysis at present.
The ecological environment remote sensing monitoring index is a measurement index reflecting the ecological environment quality condition of an evaluated area. In the present disclosure, the remote sensing monitoring index of the ecological environment is monitored by remote sensing data, and therefore, analysis of the remote sensing monitoring index of the ecological environment based on the remote sensing data is required.
In one possible implementation manner, the remote sensing monitoring index of the ecological environment includes: the land utilization type, at least one of an atmospheric environment monitoring index, a water environment monitoring index and a land ecology monitoring index.
The land utilization type is an ecological environment remote sensing monitoring index reflecting land use, property and distribution rule thereof. The remote sensing data of the land utilization type comprises various land utilization categories with different utilization directions and characteristics, such as cultivated land, forest land, grassland, construction land and the like, formed by human beings in the process of modifying and utilizing land for production and construction.
The atmospheric environment monitoring index is an ecological environment remote sensing monitoring index reflecting the air quality state. The atmospheric environment to-be-monitored indicator may include: aerosol optical thickness, PM2.5, PM10, sulfur dioxide content, nitrogen dioxide content, methane content, ozone content, carbon dioxide content, and the like.
The water environment monitoring index is an ecological environment remote sensing monitoring index reflecting the water quality state in nature. The water environment monitoring indexes can comprise: chlorophyll a concentration, suspended matter, transparency, turbidity, sea surface temperature, etc.
The land ecological monitoring index is an ecological environment remote sensing monitoring index reflecting the quality of the land ecological environment. The land ecology monitoring index may include: the ecological soil-water conservation ecological service system comprises a ground surface temperature, a vegetation index, a leaf area index, vegetation coverage, water and soil loss sensitivity, land desertification sensitivity, land salinization sensitivity, stony desertification sensitivity, a water and soil conservation ecological service function, a water source conservation ecological service function, a wind prevention and sand fixation ecological service function and the like.
In the present disclosure, the number of the remote sensing monitoring indicators for the ecological environment to be subjected to data analysis may be one, or may be multiple, and is not limited specifically herein.
And S120, determining an index type corresponding to the remote sensing data based on the ecological environment remote sensing monitoring index.
In the disclosure, the index type corresponding to the remote sensing data is the index type of the remote sensing monitoring index of the ecological environment. Because the meanings of the remote sensing data pixel values of different ecological environment remote sensing monitoring indexes are different, when the index type of the ecological environment remote sensing monitoring index is determined, the determination can be carried out according to the meanings of the remote sensing data pixel values.
In one possible implementation, the index type may include: at least one of a land use type, a mean product, and a graded product.
In this implementation manner, the principle of determining the index type of the ecological environment remote sensing monitoring index according to the meaning of the remote sensing data pixel value is as follows: when the remote sensing data pixel value indicates a certain land utilization type, for example, indicates cultivated land, forest land, grassland, construction land and the like, the index type of the ecological environment remote sensing monitoring index is the land utilization type. And when the remote sensing data pixel value refers to an index value of the ecological environment remote sensing monitoring index, the index type of the ecological environment remote sensing monitoring index is a mean product. For example, if the vegetation coverage representing an area having a pixel value of 0.7 in the remote sensing data of vegetation coverage is 0.7, the index type of vegetation coverage is a mean product. And when the remote sensing data pixel value refers to a certain level of the ecological environment remote sensing monitoring index, the index type of the ecological environment remote sensing monitoring index is a hierarchical product. For example, if the pixel values in the remote sensing data of the water loss and soil erosion sensitivity refer to the general, mild, moderate, severe and strong sensitivity levels, the index type of the water loss and soil erosion sensitivity is classified as a graded product. Wherein the graded product is obtained according to the mean product.
In a possible implementation manner, the remote sensing monitoring index of the ecological environment with the index type being the mean value product determined according to the above principle may include: the aerosol optical thickness, PM2.5, PM10, sulfur dioxide content, nitrogen dioxide content, methane content, ozone content, carbon dioxide content and the like in the atmospheric environment monitoring indexes; chlorophyll a concentration, suspended matters, transparency, turbidity, sea surface temperature and the like in the water environment monitoring indexes; the land ecology monitoring indexes comprise surface temperature, vegetation index, leaf area index, vegetation coverage and the like. The remote sensing monitoring index of the ecological environment with the index type of the graded product can comprise: the water and soil loss sensitivity, the land desertification sensitivity, the land salinization sensitivity, the rock desertification sensitivity, the water and soil conservation ecological service function, the water source conservation ecological service function, the wind prevention and sand fixation ecological service function and the like in the land ecological monitoring indexes.
In a possible implementation manner, after the index type of the ecological environment remote sensing monitoring index is determined according to the principle, the ecological environment remote sensing monitoring index and the index type can be bound in a labeling manner, so that after the ecological environment remote sensing monitoring index is obtained, the index type corresponding to the remote sensing data can be determined according to the label bound with the ecological environment remote sensing monitoring index.
In a possible implementation manner, after the index type of the ecological environment remote sensing monitoring index is determined according to the principle, a mapping relation table of the ecological environment remote sensing monitoring index and the index type can be established, so that after the ecological environment remote sensing monitoring index is obtained, the index type having a mapping relation with the ecological environment remote sensing monitoring index can be searched in the mapping relation table and used as the index type corresponding to the remote sensing data.
And S130, calling the corresponding analysis model according to the index type, and reading the required remote sensing data according to the called analysis model.
For remote sensing data of different index types, the corresponding analysis models are matched according to the application scene requirements of different services to analyze the remote sensing monitoring indexes of the ecological environment, so that the requirement of different services for reanalyzing the remote sensing monitoring indexes of the ecological environment can be met.
In the present disclosure, algorithms of all analysis models are developed and implemented by Python, and the operating environments required by the analysis algorithms are packaged into a mirror image by a container technology, which has the capabilities of resource isolation and dynamic mounting of input and output data. By defining an analysis algorithm self-description model and a data access specification, automatic series connection of analysis models can be supported, and comprehensive integration of a platform and an analysis model plug-in is realized.
It should be noted that, before the corresponding analysis model is called according to the index type, a matching rule of the preset model is further included, so that when the corresponding analysis model is called according to the index type, the matching can be performed according to the preset model configuration rule.
In a possible implementation manner, the model matching rule may be established by establishing a mapping relationship table between the index type and the partial model. Therefore, after the index type is obtained, the analysis model corresponding to the index type can be called by inquiring the mapping relation table between the index type and the analysis model. In the mapping relationship table between the index type and the analysis model, the same index type may correspond to one analysis model, or may correspond to a plurality of analysis models, which is not specifically limited herein.
In one possible implementation, the analytical model may include: at least one of an ecological evolution model, a space analysis model, a time sequence analysis model, a same-region comparison analysis model and a different-region comparison analysis model.
In this implementation, the mapping relationship table between the index type and the analysis model may be as shown in table 1.
TABLE 1
In this implementation manner, when the corresponding analysis model is called according to the index type, the method includes: when the index type is a land utilization type, calling an ecological evolution model; when the index type is a mean value product, calling at least one analysis model of a space analysis model, a time sequence analysis model, a same-region comparison analysis model and a different-region comparison analysis model; and when the index type is a hierarchical product, calling at least one analysis model of a space analysis model, a time sequence analysis model, a same-region comparison analysis model and a different-region comparison analysis model.
It should be noted that, the input remote sensing data is also different for different analysis models, so after the analysis model is called, the remote sensing data required by the analysis model needs to be read to analyze the remote sensing monitoring index of the ecological environment.
In one possible implementation, when reading the required remote sensing data according to the invoked analysis model, the method includes:
when the analysis model is an ecological evolution model, reading required remote sensing data comprising a two-stage remote sensing image about an ecological environment remote sensing monitoring index and vector range data of a research area, so that the ecological evolution model can output a land utilization transfer matrix (used for counting various types of variable quantities) and change area vector range data according to the input remote sensing data.
When the analysis model is a spatial analysis model, the read required remote sensing data comprises a first-stage remote sensing image about the ecological environment remote sensing monitoring index and the partitioned vector range data of the research area, so that the spatial analysis model can output the ecological environment remote sensing monitoring index mean value of each partition according to the input remote sensing data.
When the analysis model is a time sequence analysis model, the required remote sensing data including at least two periods of remote sensing images about the ecological environment remote sensing monitoring indexes and vector range data of a research area are read, so that the time sequence analysis model can output index mean values of the ecological environment remote sensing monitoring indexes of the research area at a plurality of time points according to the input remote sensing data.
When the analysis model is a same-region comparison analysis model, the read required remote sensing data comprises at least two periods of remote sensing images about the same ecological environment remote sensing monitoring index or the same-period remote sensing images about at least two ecological environment remote sensing monitoring indexes and vector range data of a research region, so that the same-region comparison analysis model can output different data mean values of the research region according to the input remote sensing data.
When the analysis model is the different-region comparison analysis model, the required remote sensing data including at least two-stage remote sensing images about the ecological environment remote sensing monitoring index and the partitioned vector range data of the research region are read, so that the different-region comparison analysis model can output the index mean value of the ecological environment remote sensing monitoring index in different partitions according to the input remote sensing data.
And S140, analyzing the remote sensing data by using the analysis model to obtain an analysis result.
The analysis results obtained by each analysis model are already described in step S130, and are not described herein again.
In a possible implementation manner, after obtaining the analysis result, the method further includes: and displaying the analysis result by adopting a visualization method corresponding to the analysis model. The visualization method can be set according to a specific application scene. By the visualization method, the analysis result can be displayed according to the required display effect.
In a possible implementation manner, the visualization effect of the ecological evolution model may be as shown in fig. 2, the visualization effect of the spatial analysis model may be as shown in fig. 3, the visualization effect of the temporal analysis model may be as shown in fig. 4, the visualization effect of the homoregional contrast analysis model may be as shown in fig. 5, and the visualization effect of the heteroregional contrast analysis model may be as shown in fig. 6.
In the method, an ecological environment remote sensing monitoring index for data analysis is obtained; determining an index type corresponding to the remote sensing data based on the ecological environment remote sensing monitoring index; calling a corresponding analysis model according to the index type, and reading required remote sensing data according to the called analysis model; and analyzing the remote sensing data by using the analysis model to obtain an analysis result, so that the reanalysis of the ecological environment remote sensing monitoring index data of different index types is realized by calling the analysis model corresponding to the index type, and the requirement of different services on reanalysis of the ecological environment remote sensing monitoring index is met.
< apparatus embodiment >
Fig. 7 shows a schematic block diagram of a space-time dynamic analysis device for remote sensing monitoring indexes of ecological environment according to an embodiment of the disclosure. As shown in fig. 7, the apparatus 700 for analyzing spatiotemporal dynamics of remote sensing monitoring index of ecological environment includes:
an ecological environment remote sensing monitoring index obtaining module 710, configured to obtain an ecological environment remote sensing monitoring index for performing data analysis currently;
the index type obtaining module 720 is used for determining an index type corresponding to the remote sensing data based on the ecological environment remote sensing monitoring index;
the analysis model acquisition module 730 is used for calling the corresponding analysis model according to the index type and reading the required remote sensing data according to the called analysis model;
the data analysis module 740 is configured to analyze the remote sensing data by using the analysis model to obtain an analysis result; wherein, the analytical model includes: at least one of an ecological evolution model, a space analysis model, a time sequence analysis model, a same-region comparison analysis model and a different-region comparison analysis model.
In one possible implementation, the remote sensing monitoring index of the ecological environment comprises: the land utilization type, at least one of an atmospheric environment monitoring index, a water environment monitoring index and a land ecology monitoring index; the index types include: at least one of a land use type, a mean product, and a graded product.
In one possible implementation mode, the remote sensing monitoring index of the ecological environment is bound with the index type in a labeling mode.
In a possible implementation manner, the analysis model obtaining module 730 is specifically configured to perform the analysis according to a preset model configuration rule when the corresponding analysis model is called according to the index type.
In a possible implementation manner, the analysis model obtaining module 730 is configured to, when calling a corresponding analysis model according to the index type, specifically, when the index type is a land use type, call an ecological evolution model; when the index type is a mean value product, calling at least one analysis model of a space analysis model, a time sequence analysis model, a same-region comparison analysis model and a different-region comparison analysis model; and when the index type is a hierarchical product, calling at least one analysis model of a space analysis model, a time sequence analysis model, a same-region comparison analysis model and a different-region comparison analysis model.
In a possible implementation manner, when the analysis model obtaining module 730 reads the required remote sensing data according to the called analysis model, specifically, when the analysis model is an ecological evolution model, the required remote sensing data is read to include a two-stage remote sensing image about an ecological environment remote sensing monitoring index and vector range data of a research area; when the analysis model is a spatial analysis model, reading required remote sensing data comprising a first-stage remote sensing image about an ecological environment remote sensing monitoring index and partitioned vector range data of a research area; when the analysis model is a time sequence analysis model, reading required remote sensing data comprising at least two periods of remote sensing images about the remote sensing monitoring index of the ecological environment and vector range data of a research area; when the analysis model is a same-region comparison analysis model, reading required remote sensing data comprising at least two periods of remote sensing images about the remote sensing monitoring index of the ecological environment and vector range data of a research region; when the analysis model is a different-region comparison analysis model, the read required remote sensing data comprises a first-stage remote sensing image about the remote sensing monitoring index of the ecological environment and partitioned vector range data of a research region.
In a possible implementation manner, the apparatus further includes a visualization display model, configured to display the analysis result by using a visualization method corresponding to the analysis model after the analysis result is obtained.
< apparatus embodiment >
Fig. 8 shows a schematic block diagram of a space-time dynamic analysis device for remote sensing monitoring indexes of ecological environment according to an embodiment of the present disclosure. As shown in fig. 8, the spatiotemporal dynamic analysis device 200 for remote sensing monitoring index of ecological environment of the embodiment of the present disclosure includes a processor 210 and a memory 220 for storing executable instructions of the processor 210. Wherein the processor 210 is configured to execute the executable instructions to implement any one of the above methods for spatio-temporal dynamic analysis of remote sensing indicators of an ecological environment.
Here, it should be noted that the number of the processors 210 may be one or more. Meanwhile, the apparatus 200 for analyzing spatiotemporal dynamics of an index of remote sensing monitoring of an ecological environment according to an embodiment of the present disclosure may further include an input device 230 and an output device 240. The processor 210, the memory 220, the input device 230, and the output device 240 may be connected via a bus, or may be connected via other methods, which is not limited in detail herein.
The memory 220, which is a computer-readable storage medium, may be used to store software programs, computer-executable programs, and various modules, such as: the program or the module corresponding to the space-time dynamic analysis method of the ecological environment remote sensing monitoring index of the embodiment of the disclosure. The processor 210 executes various functional applications and data processing of the apparatus 200 for spatiotemporal dynamic analysis of the index of remote sensing monitoring of the ecological environment by operating software programs or modules stored in the memory 220.
The input device 230 may be used to receive an input number or signal. Wherein the signal may be a key signal generated in connection with user settings and function control of the device/terminal/server. The output device 240 may include a display device such as a display screen.
< computer-readable storage Medium embodiment >
According to another aspect of the present disclosure, there is also provided a non-transitory computer readable storage medium having stored thereon computer program instructions, which when executed by the processor 210, implement the spatiotemporal dynamic analysis method for the remote sensing monitoring index of ecological environment as described in any one of the above.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. A space-time dynamic analysis method for ecological environment remote sensing monitoring indexes is characterized by comprising the following steps:
acquiring an ecological environment remote sensing monitoring index of data analysis to be performed currently;
determining an index type corresponding to the remote sensing data based on the ecological environment remote sensing monitoring index;
calling a corresponding analysis model according to the index type, and reading required remote sensing data according to the called analysis model;
analyzing the remote sensing data by using the analysis model to obtain an analysis result;
wherein the analytical model comprises: at least one of an ecological evolution model, a space analysis model, a time sequence analysis model, a same-region comparison analysis model and a different-region comparison analysis model.
2. The method of claim 1, wherein the remote eco-monitoring indicator comprises: the land utilization type, at least one of an atmospheric environment monitoring index, a water environment monitoring index and a land ecology monitoring index;
the index types include: at least one of a land use type, a mean product, and a graded product.
3. The method according to claim 1, wherein the remote sensing monitoring index of the ecological environment is bound with the index type in a labeling mode.
4. The method according to claim 1, wherein the corresponding analysis model is invoked according to the index type according to a preset model configuration rule.
5. The method of claim 2, when invoking the corresponding analysis model according to the indicator type, comprising:
calling the ecological evolution model when the index type is a land utilization type;
when the index type is a mean value product, calling at least one analysis model of the space analysis model, the time sequence analysis model, the same-region comparison analysis model and the different-region comparison analysis model;
and when the index type is a hierarchical product, calling at least one analysis model of the space analysis model, the time sequence analysis model, the same-region comparison analysis model and the different-region comparison analysis model.
6. The method of claim 2, when reading the required telemetry data according to the invoked analytical model, comprising:
when the analysis model is an ecological evolution model, reading required remote sensing data comprising a two-stage remote sensing image about the ecological environment remote sensing monitoring index and vector range data of a research area;
when the analysis model is a spatial analysis model, reading required remote sensing data comprising a first-stage remote sensing image about the ecological environment remote sensing monitoring index and partitioned vector range data of a research area;
when the analysis model is a time sequence analysis model, reading required remote sensing data comprising at least two periods of remote sensing images about the ecological environment remote sensing monitoring index and vector range data of a research area;
when the analysis model is a same-region comparison analysis model, reading required remote sensing data comprising at least two periods of remote sensing images about the same ecological environment remote sensing monitoring index or the same-period remote sensing images about at least two ecological environment remote sensing monitoring indexes and vector range data of a research region;
and when the analysis model is a different-region comparison analysis model, reading required remote sensing data comprising at least two periods of remote sensing images related to the ecological environment remote sensing monitoring index and partitioned vector range data of a research region.
7. The method of any one of claims 1 to 6, further comprising, after obtaining the analysis results:
and displaying the analysis result by adopting a visualization method corresponding to the analysis model.
8. A space-time dynamic analysis device for ecological environment remote sensing monitoring indexes is characterized by comprising:
the ecological environment remote sensing monitoring index acquisition module is used for acquiring an ecological environment remote sensing monitoring index of which data analysis is required currently;
the index type acquisition module is used for determining an index type corresponding to the remote sensing data based on the ecological environment remote sensing monitoring index;
the analysis model acquisition module is used for calling a corresponding analysis model according to the index type and reading required remote sensing data according to the called analysis model;
the data analysis module is used for analyzing the remote sensing data by using the analysis model to obtain an analysis result;
wherein the analytical model comprises: at least one of an ecological evolution model, a space analysis model, a time sequence analysis model, a same-region comparison analysis model and a different-region comparison analysis model.
9. The space-time dynamic analysis equipment for the ecological environment remote sensing monitoring index is characterized by comprising the following components:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to carry out the executable instructions when implementing the method of any one of claims 1 to 7.
10. A non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method of any of claims 1 to 7.
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