Ecological environment index extraction method based on remote sensing data

Abstract

The invention relates to the technical field of ecological environment index extraction, and discloses an ecological environment index extraction method based on remote sensing data, and the method comprises the following steps: shooting a selected ecological environment of a certain region based on a remote sensing satellite, and transmitting the shot content to a cloud platform; the cloud platform constructs a surface ecological environment map according to the received ecological environment information, and performs modular classification based on the ecological environment map; and based on the modular classification, labeling the classified contents, and performing modular comparison according to a database stored in the cloud platform. According to the method, when classification is completed, the worker obtains the ecological environment of the area again and classifies the ecological environment again until multiple times of obtaining, all divided indexes are compared, and the indexes with the same index value or the most nearly-same index values are extracted; the extracted index values are specific indexes of natural ecological environment landforms and geology and the like in the region.

Description

Technical Field

[0001] The invention belongs to the technical field of ecological environment index extraction, and in particular, relates to an ecological environment index extraction method based on remote sensing data. Background Art

[0002] With the development of science and technology, remote sensing technology is increasingly used in environmental monitoring. However, how to extract useful ecological and environmental information from a large amount of remote sensing data remains a challenge. Therefore, a method is needed to effectively and accurately extract ecological and environmental indexes from remote sensing data.

[0003] However, in the existing process of extracting ecological environment index indicators, the ecological environment of the area to be extracted is often detected by remote sensing satellites and then transmitted to the base station, and then transmitted to the cloud platform through the base station. The cloud platform processes it to obtain the ecological environment index indicator. However, although this can obtain the ecological environment index indicator of the area, it is easy to make a one-time judgment, and it is easy for the remote sensing satellite or the ecological environment to make errors in the transmission process, resulting in the final ecological environment index indicator being inaccurate.

[0004] In view of this, the present invention is proposed. Summary of the invention

[0005] In order to solve the existing problem of extracting ecological environment index indicators, the ecological environment of the area to be extracted is often detected by remote sensing satellites and then transmitted to the base station, and then transmitted to the cloud platform through the base station, and processed by the cloud platform to obtain the ecological environment index indicator. However, although the ecological environment index indicator of the area can be obtained in this way, it is easy to make a judgment once, and it is easy for the remote sensing satellite or the ecological environment to be transmitted. The error occurs, resulting in the technical problem that the ecological environment index indicator finally obtained is inaccurate. The basic concept of the technical solution adopted by the present invention is: A method for extracting an ecological environment index based on remote sensing data includes the following steps: S1. Use remote sensing satellites to photograph the ecological environment of a selected area and transmit the photographed content to the cloud platform; S2. The cloud platform constructs a surface ecological environment map based on the received ecological environment information, and performs modular classification based on the ecological environment map; S3. Based on the above modular classification, the classified contents are numbered and modular comparison is performed according to the database stored in the cloud platform; S4. Based on the above comparison, determine whether the surface ecological environment has changed, analyze the area where the change has occurred, and obtain corresponding indicators; S5, classifying the obtained indicators into the same type of labels; at the same time, continuing to photograph the area based on remote sensing satellites and completing the above steps S2, S3 and S4 to obtain corresponding indicators and classify them; S6. Compare the classification indicators in S5 above and extract those with greater similarity, thereby obtaining the indicators of the ecological environment of the region during this period of time.

[0006] As a preferred embodiment of the present invention, the specific method steps based on the above S1 include: the staff detects the ecological environment index of the area as needed, and obtains the natural ecological environment, geomorphology, geology and other characteristics of the area to be obtained through remote sensing satellites. When the remote sensing satellite obtains the information, the remote sensing satellite will be able to transmit the signal to the ground base station. After receiving the signal transmitted by the remote sensing satellite, the ground base station will be able to transmit the information to the cloud platform.

[0007] As a preferred embodiment of the present invention, the specific operating method steps for constructing an ecological environment map and classifying the ecological environment map based on the above S2 are as follows: after the cloud platform receives the natural ecological environment, geomorphology, geology and other features detected by the remote sensing satellite transmitted by the ground base station, the cloud platform uses the original modular classification method to modularly classify the natural ecological environment, geomorphology, geology and other features just detected. At the same time, after the natural ecological environment, geomorphology, geology and other features are further divided into modules, the staff labels the divided natural ecological environment, geomorphology, geology and other features, such as A1, A2, A3...An.

[0008] As a preferred embodiment of the present invention, the specific method steps for modular comparison based on the database stored in the cloud platform in the above-mentioned S3 are: the staff puts the divided and marked natural ecological environment, geomorphology, geology and other features aside, and at the same time, the staff queries the historical data stored in the cloud platform, extracts the most recent historical data and matches it with the divided and marked natural ecological environment, geomorphology, geology and other features placed aside. At this time, the divided and marked natural ecological environment, geomorphology, geology and other features can be compared with the divided and marked natural ecological environment, geomorphology, geology and other features in the historical data.

[0009] As a preferred embodiment of the present invention, the specific method steps for analyzing the areas where changes occur and deriving corresponding indicators based on the above S4 are as follows: the staff can clearly observe the different changes and similarities through the comparison of the natural ecological environment, geomorphology, geology and other characteristics in the historical database and the existing monitored ones. Therefore, the staff analyzes the areas where different changes in the natural ecological environment, geomorphology, geology and other characteristics occur, and at the end of the analysis, the indicators of the natural ecological environment, geomorphology, geology and other characteristics in different areas can be obtained.

[0010] As a preferred embodiment of the present invention, based on the above S5, the remote sensing satellite continues to shoot the area and completes the above S2, S3 and S4 steps to obtain corresponding indicators and classify them: based on the indicators in different areas obtained in the specific method steps in the above S4, the indicators obtained in the area are classified as follows: a; when the classification is completed, the staff can again obtain the natural ecological environment, geomorphology, geology and other characteristics of the selected area through the remote sensing satellite, and transmit the newly obtained natural ecological environment, geomorphology, geology and other characteristics to the ground base station, and transmit the newly obtained natural ecological environment, geomorphology, geology and other characteristics to the cloud platform through the ground base station. When the cloud platform receives the new natural ecological environment, geomorphology, geology and other characteristics, it can compare them with the natural ecological environment, geomorphology, geology and other characteristics most recently stored in the historical database, analyze the different areas that appear in the comparison and obtain the characteristic indicators of the natural ecological environment, geomorphology, geology and other areas, and then divide the indicators of the area as follows, for example b; this can be repeated for multiple divisions to obtain c, d, e...z.

[0011] As a preferred embodiment of the present invention, based on the comparison of the classification indicators in the above S5 in the above S6, the ones with more similarities are extracted, so as to obtain the specific method steps of the indicators of the ecological environment of the region during this period of time: after obtaining the classified natural ecological environment, geomorphology, geology and other indicators, the staff will compare the classified indicators a, b, c, d, e...z, and extract the indicators with the same or nearly the same values. The extracted indicator values ​​are the specific indicators of the natural ecological environment, geomorphology, geology, etc. in the area.

[0012] As a preferred embodiment of the present invention, based on the specific indicators of the natural ecological environment, geomorphology, geology, etc. in the area obtained in the above S6, the staff will store the finalized specific indicators of the natural ecological environment, geomorphology, geology, etc. in the area into the cloud platform historical database.

[0013] Compared with the prior art, the present invention has the following beneficial effects: According to the present invention, when the classification is completed, the staff can obtain the natural ecological environment, geomorphology, geology and other characteristics of the selected area through the remote sensing satellite again, and transmit the newly obtained natural ecological environment, geomorphology, geology and other characteristics to the ground base station, and transmit the newly obtained natural ecological environment, geomorphology, geology and other characteristics to the cloud platform through the ground base station. When the cloud platform receives the new natural ecological environment, geomorphology, geology and other characteristics, it can compare them with the natural ecological environment, geomorphology, geology and other characteristics most recently stored in the historical database, analyze the different areas appearing in the comparison and obtain the characteristic indicators of the natural ecological environment, geomorphology, geology and other characteristics in different areas, and then divide the indicators of the area into b for example; in this way, multiple divisions can be performed back and forth to obtain c, d, e...z, and at the same time, the indicators of each division are compared, and the indicators with the same or nearly the same values ​​are extracted, and the extracted indicator values ​​are the specific indicators of the natural ecological environment, geomorphology, geology and other in the area.

[0014] The specific implementation modes of the present invention are further described in detail below in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In the attached picture: Figure 1 A schematic diagram of the specific steps of an ecological environment index extraction method based on remote sensing data; Figure 2 It is a specific process diagram of an ecological environment index extraction method based on remote sensing data; Figure 3 It is a specific comparative schematic diagram of an ecological environment index extraction method based on remote sensing data; Figure 4 Schematic diagram of remote sensing satellite transmission for an ecological environment index extraction method based on remote sensing data. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The following embodiments are used to illustrate the present invention.

[0017] like Figures 1 to 4 As shown, a method for extracting an ecological environment index based on remote sensing data includes the following steps: S1, photographing the ecological environment of a selected area based on a remote sensing satellite, and transmitting the photographed content to a cloud platform; S2. The cloud platform constructs a surface ecological environment map based on the received ecological environment information, and performs modular classification based on the ecological environment map; S3. Based on the above modular classification, the classified contents are numbered and modular comparison is performed according to the database stored in the cloud platform; S4. Based on the above comparison, determine whether the surface ecological environment has changed, analyze the area where the change has occurred, and obtain corresponding indicators; S5, classifying the obtained indicators into the same type of labels; at the same time, continuing to photograph the area based on remote sensing satellites and completing the above steps S2, S3 and S4 to obtain corresponding indicators and classify them; S6. Compare the classification indicators in S5 above and extract those with greater similarity, thereby obtaining the indicators of the ecological environment of the region during this period of time.

[0018] In a specific implementation, the specific method steps based on the above S1 include: the staff detects the ecological environment index of the area as needed, and obtains the natural ecological environment, landform, geology and other characteristics of the area to be acquired through remote sensing satellites. When the remote sensing satellite acquires the information, the remote sensing satellite will be able to transmit the signal to the ground base station. After receiving the signal transmitted by the remote sensing satellite, the ground base station will be able to transmit the information to the cloud platform.

[0019] Furthermore, the specific operation method steps for constructing the ecological environment map and classifying the ecological environment map based on the above S2 are as follows: after the cloud platform receives the natural ecological environment, geomorphology, geology and other features detected by the remote sensing satellite transmitted by the ground base station, the cloud platform uses the original modular classification method to modularly classify the natural ecological environment, geomorphology, geology and other features just detected. At the same time, after the natural ecological environment, geomorphology, geology and other features are further divided into modules, the staff will label the divided natural ecological environment, geomorphology, geology and other features, such as A1, A2, A3...An.

[0020] Furthermore, the specific method steps for modular comparison based on the database stored in the cloud platform in the above S3 are as follows: the staff puts the divided and marked natural ecological environment, geomorphology, geology and other features aside, and at the same time, the staff queries the historical data stored in the cloud platform, extracts the most recent historical data and matches it with the divided and marked natural ecological environment, geomorphology, geology and other features placed aside. At this time, the divided and marked natural ecological environment, geomorphology, geology and other features can be compared with the divided and marked natural ecological environment, geomorphology, geology and other features in the historical data.

[0021] Furthermore, based on the analysis of the areas where changes have occurred in S4 above, the specific method steps for deriving corresponding indicators are as follows: the staff can clearly observe the different changes and similarities in the process of comparing the natural ecological environment, geomorphology, geology and other characteristics in the historical database with the existing monitored characteristics. Therefore, the staff analyzes the areas where different changes in the natural ecological environment, geomorphology, geology and other characteristics have occurred, and at the end of the analysis, the indicators of the natural ecological environment, geomorphology, geology and other characteristics in different areas can be obtained.

[0022] Further, based on the above S5, the remote sensing satellite continues to photograph the area and completes the above S2, S3 and S4 steps to obtain corresponding indicators and classify them: based on the indicators in different areas obtained in the specific method steps in the above S4, the indicators obtained in the area are classified as follows: a; when the classification is completed, the staff can again obtain the natural ecological environment, geomorphology, geology and other characteristics of the selected area through the remote sensing satellite, and transmit the newly obtained natural ecological environment, geomorphology, geology and other characteristics to the ground base station, and transmit the newly obtained natural ecological environment, geomorphology, geology and other characteristics to the cloud platform through the ground base station. When the cloud platform receives the new natural ecological environment, geomorphology, geology and other characteristics, it can compare them with the natural ecological environment, geomorphology, geology and other characteristics most recently stored in the historical database, analyze the different areas that appear in the comparison and obtain the characteristic indicators of the natural ecological environment, geomorphology, geology and other characteristics in different areas, and then divide the indicators of the area as follows as follows: b; this can be repeated for multiple divisions to obtain c, d, e...z.

[0023] Furthermore, based on the comparison of the classification indicators in S5 above in S6 above, those with more similarities are extracted, so as to obtain the specific method and steps of the indicators of the ecological environment of the region during this period of time: after obtaining the classified natural ecological environment, landform, geology and other indicators, the staff will compare the classified indicators a, b, c, d, e...z, and extract the indicators with the same or nearly the same values. The extracted indicator values ​​are the specific indicators of the natural ecological environment, landform, geology, etc. in the region.

[0024] Furthermore, based on the specific indicators of the natural ecological environment, geomorphology, geology, etc. in the area obtained in S6 above, the staff will store the finalized specific indicators of the natural ecological environment, geomorphology, geology, etc. in the area into the cloud platform historical database.

[0025] The implementation principle of the ecological environment index extraction method based on remote sensing data in this embodiment is as follows: the staff detects the ecological environment index of the area as needed, and obtains the natural ecological environment, geomorphology, geology and other characteristics of the area to be obtained through remote sensing satellites. When the remote sensing satellite obtains information, the remote sensing satellite will be able to transmit the signal to the ground base station. After receiving the signal transmitted by the remote sensing satellite, the ground base station will be able to transmit the information to the cloud platform; after the cloud platform receives the natural ecological environment, geomorphology, geology and other characteristics detected by the remote sensing satellite transmitted by the ground base station, the cloud platform uses the original modular classification method to modularly classify the natural ecological environment, geomorphology, geology and other characteristics just detected. At the same time, when the natural ecological environment, geomorphology, geology and other characteristics are further divided into modules, the staff labels the divided natural ecological environment, geomorphology, geology and other characteristics, such as A1, A2, A3...An; at the same time, the staff extracts the most recent historical data by querying the historical data stored in the cloud platform and matches it with the divided and marked natural ecological environment, geomorphology, geology and other characteristics placed aside. At this time, it can be divided according to the The marked natural ecological environment, geomorphology, geology and other characteristics are compared with the historical data. Therefore, the staff can clearly observe the different changes and similarities in the process of comparing the natural ecological environment, geomorphology, geology and other characteristics in the historical database and the existing monitored natural ecological environment, geomorphology, geology and other characteristics. Therefore, the staff analyzes the areas where different changes in natural ecological environment, geomorphology, geology and other characteristics occur. At the end of the analysis, the indicators of natural ecological environment, geomorphology, geology and other characteristics in different regions can be obtained; the indicators obtained in the area are classified, for example: a; when the classification is completed, the staff can again obtain the natural ecological environment, geomorphology, geology and other characteristics of the selected area through remote sensing satellites, such as the above steps; at this time, after the staff obtains the classified natural ecological environment, geomorphology, geology and other indicators, they will compare the classified indicators a, b, c, d, e...z, and extract the indicators with the same or nearly the same values. The extracted indicator values ​​are the specific indicators of the natural ecological environment, geomorphology, geology and other indicators in the area.

Claims

1. A method for extracting an ecological environment index based on remote sensing data, characterized in that: The method comprises the following steps: S1. Use remote sensing satellites to photograph the ecological environment of a selected area and transmit the photographed content to the cloud platform; S2. The cloud platform constructs a surface ecological environment map based on the received ecological environment information, and performs modular classification based on the ecological environment map; S3. Based on the above modular classification, the classified contents are numbered and modular comparison is performed according to the database stored in the cloud platform; S4. Based on the above comparison, determine whether the surface ecological environment has changed, analyze the area where the change has occurred, and obtain corresponding indicators; S5, classifying the obtained indicators into the same type of labels; at the same time, continuing to photograph the area based on remote sensing satellites and completing the above steps S2, S3 and S4 to obtain corresponding indicators and classify them; S6. Compare the classification indicators in S5 above and extract those with greater similarity, thereby obtaining the indicators of the ecological environment of the region during this period of time.

2. The method for extracting an ecological environment index based on remote sensing data according to claim 1, characterized in that: The specific method steps based on the above S1 include: the staff detects the ecological environment index of the area as needed, and obtains the natural ecological environment, landform, geology and other characteristics of the area to be obtained through remote sensing satellites. When the remote sensing satellite obtains the information, the remote sensing satellite will be able to transmit the signal to the ground base station. After receiving the signal transmitted by the remote sensing satellite, the ground base station will be able to transmit the information to the cloud platform.

3. The method for extracting an ecological environment index based on remote sensing data according to claim 1, characterized in that: The specific operation method steps for constructing the ecological environment map and classifying the ecological environment map based on the above S2 are as follows: after the cloud platform receives the natural ecological environment, geomorphology, geology and other features detected by the remote sensing satellite transmitted by the ground base station, the cloud platform uses the original modular classification method to modularly classify the natural ecological environment, geomorphology, geology and other features just detected. At the same time, after the natural ecological environment, geomorphology, geology and other features are further divided into modules, the staff will label the divided natural ecological environment, geomorphology, geology and other features, such as A1, A2, A3...An.

4. The method for extracting an ecological environment index based on remote sensing data according to claim 1, characterized in that: The specific method steps for modular comparison based on the database stored in the cloud platform in the above S3 are as follows: the staff puts the divided and marked natural ecological environment, geomorphology, geology and other features aside, and at the same time, the staff queries the historical data stored in the cloud platform, extracts the most recent historical data and matches it with the divided and marked natural ecological environment, geomorphology, geology and other features placed aside. At this time, the divided and marked natural ecological environment, geomorphology, geology and other features can be compared with the divided and marked natural ecological environment, geomorphology, geology and other features in the historical data.

5. The method for extracting ecological environment index based on remote sensing data according to claim 1, characterized in that: The specific method and steps for analyzing the areas where changes have occurred based on the above S4 and deriving the corresponding indicators are as follows: the staff can clearly observe the different changes and similarities in the process of comparing the natural ecological environment, geomorphology, geology and other characteristics in the historical database with the existing monitored characteristics. Therefore, the staff analyzes the areas where different changes in the natural ecological environment, geomorphology, geology and other characteristics occur. At the end of the analysis, the indicators of the natural ecological environment, geomorphology, geology and other characteristics in different areas can be obtained.

6. The method for extracting ecological environment index based on remote sensing data according to claim 1, characterized in that: Based on the above S5, the remote sensing satellite continues to shoot the area and completes the steps of S2, S3 and S4 to obtain the corresponding indicators and classify them: Based on the indicators in different areas obtained in the specific method steps in the above S4, the indicators obtained in the area are classified as follows: a; when the classification is completed, the staff can again obtain the natural ecological environment, geomorphology, geology and other characteristics of the selected area through the remote sensing satellite, and transmit the newly obtained natural ecological environment, geomorphology, geology and other characteristics to the ground base station, and transmit the newly obtained natural ecological environment, geomorphology, geology and other characteristics to the cloud platform through the ground base station. When the cloud platform receives the new natural ecological environment, geomorphology, geology and other characteristics, it can compare them with the natural ecological environment, geomorphology, geology and other characteristics most recently stored in the historical database, analyze the different areas that appear in the comparison and obtain the characteristic indicators of natural ecological environment, geomorphology, geology and other areas. At this time, the indicators of the area are divided as follows, for example b; this reciprocating division can be performed multiple times to obtain c, d, e...z.

7. The method for extracting ecological environment index based on remote sensing data according to claim 1, characterized in that: Based on the comparison of the classification indicators in the above S5 in the above S6, the ones with more similarities are extracted, so the specific method and steps for obtaining the indicators of the ecological environment of the region during this period are as follows: after obtaining the classified natural ecological environment, landform, geology and other indicators, the staff will compare the classified indicators a, b, c, d, e...z, and extract the indicators with the same or nearly the same values. The extracted indicator values ​​are the specific indicators of the natural ecological environment, landform, geology, etc. in the area.

8. The method for extracting ecological environment index based on remote sensing data according to claim 7, characterized in that: Based on the specific indicators of the natural ecological environment, landform, geology, etc. in the area obtained in the above S6, the staff will store the finalized specific indicators of the natural ecological environment, landform, geology, etc. in the area into the cloud platform historical database 8.

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