CN117745873A - Project area layer construction method and device based on remote sensing data and electronic equipment - Google Patents
Project area layer construction method and device based on remote sensing data and electronic equipment Download PDFInfo
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Abstract
The embodiment of the invention discloses a project area layer construction method and device based on remote sensing data and electronic equipment. One embodiment of the method comprises the following steps: in response to receiving the project area information, marking the project area corresponding to the project area information into a preset map to obtain a marked map; in the marked map, expanding the project area by taking the project area as the center to obtain a project area expanded map; determining area protection information corresponding to each map division area in the map division area group in the expanded project area to obtain an area protection information set; establishing project area observation tasks corresponding to the expanded project areas, and acquiring area observation remote sensing data corresponding to the area observation tasks; generating an area observation result corresponding to the expanded project area; and adding the regional observation result into the project regional expansion map to complete the construction of the project regional layer. This embodiment may reduce data loss in the project area layer.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a project area layer construction method and device based on remote sensing data and electronic equipment.
Background
Project area layer construction is a technology for performing ecological analysis of the project area environment. Currently, when building project area layers, the following methods are generally adopted: the project area is constructed as an area layer of the project area for carrying out operations such as project environment ecological analysis and the like in the range of the area layer, thereby being used for improving and protecting the affected ecological environment after the project is finished.
However, the inventors found that when the project area layer construction is performed in the above manner, there are often the following technical problems:
firstly, directly taking a project area as a basic layer constructed by a layer, and not taking the adjacent area of the project area into consideration, so that when the regional environment data is acquired, the environmental ecological analysis is difficult to be carried out by combining the whole environment data of the associated area, thereby causing the accurate deficiency of the data in the finally constructed regional layer and further causing the data deletion in the constructed project area layer;
secondly, when analyzing the environmental data in the project area layer range, the corresponding analysis frames are not set for different environmental indexes, and meanwhile, comprehensive analysis and evaluation are difficult to be carried out on various environmental information (including water conservancy, land, air, pollutants and the like, for example), so that the data in the constructed area layer is not accurate enough, and further, the environmental improvement prompt which is difficult to send in time is caused.
The above information disclosed in this background section is only for enhancement of understanding of the background of the inventive concept and, therefore, may contain information that does not form the prior art that is already known to those of ordinary skill in the art in this country.
Disclosure of Invention
The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose a project area layer construction method, apparatus and electronic device based on remote sensing data to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a project area layer construction method based on remote sensing data, where the method includes: in response to receiving the item region information, marking an item region corresponding to the item region information into a preset map to obtain a marked map, wherein the item region information comprises an item region coordinate set; based on the item region coordinate set included in the item region information, carrying out item region expansion by taking the item region as a center in the marked map to obtain an item region expansion map, wherein the item region expansion map comprises an expanded item region, and the expanded item region comprises a map division region group; determining area protection information corresponding to each map division area in the map division area group in the expanded project area to obtain an area protection information set; establishing an project area observation task corresponding to the expanded project area, and sending the project area observation task to a target satellite to obtain area observation remote sensing data corresponding to the area observation task; generating an area observation result corresponding to the expanded project area based on the acquired area observation remote sensing data; and adding the region observation result into the project region expansion map to complete the construction of a project region layer.
In a second aspect, some embodiments of the present disclosure provide a project area layer construction apparatus based on remote sensing data, the apparatus including: a marking unit configured to mark an item area corresponding to item area information in a preset map in response to receiving the item area information, and obtain a marked map, wherein the item area information comprises an item area coordinate set; a region expansion unit configured to perform a region expansion on the marked map with the region as a center based on a region coordinate set included in the region information, to obtain a region expansion map including an expanded region, the expanded region including a map divided region group; a determining unit configured to determine area protection information corresponding to each map division area in the map division area group in the expanded project area, and obtain an area protection information set; the establishing and sending unit is configured to establish an project area observation task corresponding to the expanded project area and send the project area observation task to a target satellite so as to acquire area observation remote sensing data corresponding to the area observation task; a generation unit configured to generate a region observation result corresponding to the extended project region based on the acquired region observation remote sensing data; and the adding unit is configured to add the region observation result to the project region expansion map so as to complete the construction of a project region layer.
In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors causes the one or more processors to implement the method described in any of the implementations of the first aspect above.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect above.
The above embodiments of the present disclosure have the following advantageous effects: by the project area layer construction method based on remote sensing data, which is disclosed by the embodiment of the invention, the data loss in the constructed project area layer can be greatly avoided. Specifically, the reason for the data missing in the project area layer that is built is: the project area is directly used as a basic layer of layer construction, and the area adjacent to the project area is not considered, so that when the regional environment data is acquired, the environmental ecological analysis is difficult to be carried out by combining the whole environment data of the associated area, and the data in the finally constructed regional layer is caused to be accurate and insufficient. Based on this, in some embodiments of the present disclosure, in response to receiving the project area information, the project area layer construction method based on the remote sensing data marks the project area corresponding to the project area information into a preset map, and obtains the marked map. Wherein the item region information includes an item region coordinate set. Then, based on the item area coordinate set included in the item area information, the item area is expanded in the marked map with the item area as a center, and an item area expanded map is obtained. The project area expansion map comprises an expanded project area, and the expanded project area comprises a map division area group. Here, considering the case where only data in the item area easily causes data missing and the interaction between the item area environment and the neighboring area environment, it is possible to determine more areas by area expansion, thereby improving the diversity of acquired environmental data. And then, determining the area protection information corresponding to each map division area in the map division area group in the expanded project area to obtain an area protection information set. Wherein the region protection information in the region is introduced to be used for characterizing the environmental data in the region. Then, establishing an project area observation task corresponding to the expanded project area, and sending the project area observation task to a target satellite to obtain area observation remote sensing data corresponding to the area observation task. Here, by establishing satellite observation tasks, the method can be used for data acquisition of the extended area. Then, based on the obtained region observation remote sensing data, a region observation result corresponding to the extended project region is generated. And the acquired regional observation results are more diversified and the data relevance is improved because the data of a larger region are acquired. And finally, adding the region observation result into the project region expansion map to complete the construction of a project region layer. Therefore, the region observation results with more diversity and relevance enable the completed project region layers to be more comprehensive and accurate. Furthermore, the data missing in the project area layer is reduced.
Drawings
The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
FIG. 1 is a flow chart of some embodiments of a project area layer construction method based on remote sensing data according to the present disclosure;
FIG. 2 is a schematic diagram of a project area augmentation map of some embodiments of a project area layer construction method based on remote sensing data according to the present disclosure;
FIG. 3 is a schematic structural diagram of some embodiments of a remote sensing data based project area layer construction apparatus according to the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 illustrates a flow 100 of some embodiments of a project area layer construction method based on remote sensing data according to the present disclosure. The project area layer construction method based on the remote sensing data comprises the following steps:
And step 101, in response to receiving the item area information, marking the item area corresponding to the item area information into a preset map to obtain a marked map.
In some embodiments, the execution subject of the project area layer construction method based on remote sensing data may obtain the marked map by marking the project area corresponding to the project area information into a preset map in response to receiving the project area information. Wherein the item region information includes an item region coordinate set. The project area information may be information of an area required to be occupied by one project (for example, opening a subway line, establishing a scenic spot, etc.).
In some optional implementations of some embodiments, the executing body marks the item area corresponding to the item area information into a preset map, and the marked map may include the following steps:
and marking each item region coordinate in the item region coordinate set included in the item region information in the map to obtain a marked map. Wherein, each item region coordinate in the item region coordinate set may constitute a line type item region or a region type item region. A linear item region (e.g., a region where a subway line is opened) may represent that the item is a curve in a map. An area-type item area (e.g., an area that establishes a scenic spot) characterizes the item as an area in a map.
Step 102, based on the project area coordinate set included in the project area information, expanding the project area by taking the project area as the center in the marked map, and obtaining a project area expanded map.
In some embodiments, the executing entity may perform the expansion of the project area with respect to the project area in the marked map based on the project area coordinate set included in the project area information, so as to obtain a project area expansion map. The project area expansion map may include an expanded project area. The extended project area may include a map divided area group.
In some optional implementations of some embodiments, the executing entity performs the expanding of the project area with the project area as a center in the marked map based on the project area coordinate set included in the project area information, to obtain a project area expanded map, and may include the following steps:
first, using the item region coordinate set, performing a primary item region expansion with the item region as a center in the map after marking to generate a primary expansion region coordinate set. Wherein, each primary expansion area coordinate in the primary expansion area coordinate set can enclose a primary expansion area larger than the project area in the map after marking. Secondly, the project area expansion can be performed once by the following steps: firstly, sampling the project area coordinates in the project area coordinate set according to a preset sampling condition to obtain a boundary coordinate set after one sampling. Here, the preset sampling condition may be that an included angle between the sampled coordinates and the adjacent two coordinates is greater than a preset angle threshold (e.g., 60 degrees). And then taking the central point coordinates of the item area as basic points, and after one sampling, extending the boundary coordinates outwards after one sampling in the boundary coordinate set. Finally, the coordinates of each extension line, which are closest to the project area by a first preset distance (for example, 5 km), are determined as primary extended area coordinates. Here, the line connecting the coordinates of each primary expansion area is the boundary line of the primary expansion area.
Optionally, for the linear project area, when the project area is expanded once, the coordinates with the first preset distance from each coordinate on the curve can be determined as the coordinates of the expansion area once.
And secondly, performing secondary project area expansion by taking the primary expansion area as a center in the map after marking by utilizing the primary expansion area coordinate set so as to generate a secondary expansion area coordinate set. Wherein, each secondary expansion area coordinate in the secondary expansion area coordinate set can enclose a secondary expansion area larger than the primary expansion area in the map after marking. Here, the secondary project area expansion may be that the sampling step is performed again on the boundary line surrounded by the primary expansion area coordinates in the primary expansion area coordinate set, so as to obtain a boundary coordinate set after the secondary sampling. The same is true in the sampling process according to the preset sampling conditions. Finally, the coordinates of each extension line closest to the project area at a second preset distance (for example, 20 km) may be determined as secondary extended area coordinates, thereby generating a secondary extended area coordinate set. Specifically, the connection line of the coordinates of each secondary expansion area is the boundary line of the secondary expansion area.
And thirdly, performing three-time project area expansion by taking the secondary expansion area as a center in the map after marking by utilizing the secondary expansion area coordinate set so as to generate a three-time expansion area coordinate set. Wherein, each three-time expansion area coordinate in the three-time expansion area coordinate set can enclose a three-time expansion area larger than the two-time expansion area in the map after marking. Here, the third item region expansion may be that the sampling step is performed again on the boundary line surrounded by the coordinates of each secondary expansion region in the secondary expansion region coordinate set, so as to obtain a boundary coordinate set after the third sampling. The same is true in the sampling process according to the preset sampling conditions. Finally, the coordinates closest to the project area on each extension line at a third preset distance (for example, 50 km) may be determined as the tertiary extended area coordinates, thereby generating a tertiary extended area coordinate set. Specifically, the connection line of the coordinates of each three-time expansion area is the boundary line of the three-time expansion area.
And a fourth step of determining a marked map including the primary expansion area coordinate set, the primary expansion area, the secondary expansion area coordinate set, the secondary expansion area, the tertiary expansion area coordinate set and the tertiary expansion area as an item area expansion map.
In practice, the selected coordinates can be prevented from being the vertex coordinates of the item area by the preset sampling conditions. For example, the vertices of a rectangular area. Thus, the item area can be expanded to be approximately circular, so that the range influenced by the item area can be greatly expanded. Thus, it is convenient to further extract the environmental data of the diversity within the region.
And step 103, determining the area protection information corresponding to each map division area in the map division area group in the expanded project area, and obtaining an area protection information set.
In some embodiments, the executing entity may determine the area protection information corresponding to each map division area in the map division area group in the extended project area, to obtain an area protection information set. The map dividing areas are different areas divided in the map. Such as different provinces, cities, counties, divisions of the district.
In some optional implementations of some embodiments, the executing body determines area protection information corresponding to each map division area in the map division area group in the expanded project area, to obtain an area protection information set, and may include the following steps:
For each map division area in the map division area group in the above-described expanded item area, the following steps are performed to generate area protection information:
and firstly, searching natural protection area information, species information and water conservancy facility information of the map division areas from a preset database. Wherein, the natural protection area information may include a natural protection area standard score group. The species information may include a species score group. The hydraulic facility information may include a hydraulic facility score group. Here, the preset database may be any one including information of each area in the map (for example, whether a certain area is a protection area, a type of the protection area, a state of the protection area, species information within the area, etc.). Therefore, the identification of the corresponding map dividing area can be added in the preset search script, so that the natural protection area information, the species information and the water conservancy facility information can be obtained through search. The natural protection area information may be the protection information of the map divided area described above. For each piece of data in the protection area, a preset natural protection area standard score can be corresponding. The species information may be species information within the map divided area described above. Such as species name, number of species, etc. Similarly, each species corresponds to a predetermined species score. The water conservancy facility information may be information of water conservancy facilities within the map partitioned area. Such as power stations, fish ponds, etc. And the same is adopted, and each hydraulic equipment corresponds to one hydraulic equipment score.
As an example, the natural protection area may be divided into: strict natural protection areas, wilderness areas, national parks, natural monuments, habitat protection areas, protection scenic spots, natural resource protection areas, and the like. The corresponding natural protection area standard scores can be respectively corresponding to different natural protection area standard scores.
And a second step of determining the map dividing area in the project area, the primary expansion area, the secondary expansion area and the tertiary expansion area respectively to generate index weight sets. Wherein, each index weight in the index weight sets is different weights of the map dividing region in different regions. Specifically, for a protection area, it is located in different areas among the project area, the primary expansion area, the secondary expansion area and the tertiary expansion area, and then different weights can be corresponding.
In practice, the closer the distance to the project area is, the greater the probability of being affected by the environment is considered. Thus, the greater the weight that is relatively set. Thus, the environmental relevance features are highlighted from the environmental data scores of the different regions.
And thirdly, generating a regional grading value group based on the natural protection region information, the species information, the water conservancy facility information and the index weight group. Wherein, the product of each natural protection area standard score and the corresponding index weight in the natural protection area standard score group can be determined as the area score value. Likewise, the product of each species score and the corresponding index weight may be determined as a region score value. And determining the product of each water conservancy facility score and the corresponding index weight as a regional score value.
And fourthly, determining the natural protection area information, the species information, the water conservancy facility information and the area scoring value as area protection information.
Optionally, the executing body may further execute the following steps:
and sending the constructed project area layer to a display terminal, and sending an environment improvement prompt to a target terminal. The project area, the primary expansion area, the secondary expansion area and the tertiary expansion area in the project area layer can render different colors when the display terminal displays. And secondly, for each map dividing area, if the area grading value of the area where the map dividing area is positioned is smaller than the corresponding threshold value, an environment improvement prompt can be sent out. For example, a voice prompt is issued.
As an example, refer to fig. 2. Here, the content outside the project area expansion map area of fig. 2 is not specifically shown, and the blank longitude and latitude dotted line is used as the background. As shown in fig. 2, the rectangle in the center of the diagram may be the initial item area. The rectangular box may be composed of individual item area coordinates. The first frame outwards is the boundary line of the primary expansion area. Therefore, the boundary line from the rectangular frame of the item area may be a one-time expansion area. The second frame outwards is the boundary line of the secondary expansion area. Therefore, the area between the boundary line of the primary expansion area and the boundary line of the secondary expansion area is the secondary expansion area. And the same is true, and the boundary line between the secondary expansion area and the tertiary expansion area is the tertiary expansion area. In addition, the map dividing area where the point of P1 in the map is located is an area which occupies the primary expansion area, the secondary expansion area and the tertiary expansion area simultaneously. Then, the index weights of the map divided regions corresponding to different portions in the primary expansion region, the secondary expansion region, and the tertiary expansion region may be different.
And 104, establishing an project area observation task corresponding to the expanded project area, and sending the project area observation task to a target satellite to acquire area observation remote sensing data corresponding to the area observation task.
In some embodiments, the execution entity may establish an project area observation task corresponding to the extended project area, and send the project area observation task to a target satellite to obtain the area observation remote sensing data corresponding to the area observation task. The target satellite may be a preset satellite that may be used to observe the project area. Second, the regional observation telemetry data may be multispectral (e.g., 8-spectrum) telemetry data.
In some optional implementations of some embodiments, the executing entity establishes an project area observation task corresponding to the extended project area, and sends the project area observation task to a target satellite to obtain area observation remote sensing data corresponding to the area observation task, and the method may include the following steps:
first, acquiring a project period corresponding to the project area information. Wherein, the project period can be a period from the beginning of the characterization project to the end of the project.
And secondly, establishing an project area observation task for satellite observation of the extended project area based on a preset project observation period. The project area observation task is a task that a satellite periodically observes in the project period in the project observation period. Secondly, a script can be generated by utilizing a preset project, and a project area observation task can be generated. Specifically, the project generation script can fill the task observation area and the observation period into the task template to complete task establishment.
And 105, generating an area observation result corresponding to the expanded project area based on the acquired area observation remote sensing data.
In some embodiments, the executing entity may generate the region observation result corresponding to the extended project region based on the acquired region observation remote sensing data.
In some optional implementations of some embodiments, the executing body may generate the region observation result corresponding to the extended project region based on the acquired region observation remote sensing data, and may include the following steps:
the method comprises the first step of detecting indexes of satellite images included in acquired regional observation remote sensing data to generate water resource detection information, land resource detection information and air resource detection information. The water resource detection information can comprise water area change information and a water pollution index. The land resource detection information includes, but is not limited to, at least one of: cultivated area information, forest area information, living area information, vegetation area information, soil pollution information and solid garbage information. The air resource detection information includes, but is not limited to, at least one of: carbon monoxide variation information, formaldehyde variation information, nitrogen dioxide variation information, sulfur dioxide variation information and ozone variation information. Second, the above-mentioned region-observed telemetry data is multispectral telemetry data, and thus may include data of a plurality of different bands. Here, the water area change information may be a water area ratio before and after the start of the project. The water pollution index can characterize the increase in water pollution before and after the project begins. The tilling area information can represent the change of the tilling area before and after the project starts. Similarly, forest area information, living area information, vegetation area information, soil pollution information, solid garbage information, carbon monoxide change information, formaldehyde change information, nitrogen dioxide change information, sulfur dioxide change information and ozone change information can also represent the data change condition corresponding to the item at present. Specifically, the solid garbage information may be solid garbage stored with the ground surface. Such as construction waste, etc. In addition, for the obtained regional observation remote sensing data, water resource detection information, land resource detection information and air resource detection information can be generated through a preset data analysis algorithm.
As an example, green Band (Green Band,0.53-0.59 microns): can be used for measuring green light reflection of the earth surface so as to obtain vegetation monitoring and land coverage classification data. Red Band (Red Band,0.64-0.67 microns): the method can be used for measuring red light reflection of the ground surface so as to obtain data of land coverage classification and vegetation health assessment. Near Infrared (NIR, 0.85-0.88 microns): the near infrared band can be used for detecting data in the aspects of vegetation health monitoring, land coverage classification and the like. Short-wave infrared band 1 (1.57-1.65 microns): the method can be used for detecting the household number of mineral matters and vegetation moisture content in the ground surface. The roll cloud band (CIRRUS band, 1.36-1.38 microns): can be used for monitoring data of high-layer cloud layers and cloud components in the atmosphere. Second, the data analysis algorithm may include, but is not limited to, at least one of: periodic analysis, spectroscopic mixing analysis, and the like.
And a second step of generating a water resource score group, a land resource score group and an air resource score group based on the water resource detection information, the land resource detection information, the air resource detection information and the corresponding index weights. Firstly, the scoring value of each item of corresponding water area change information, water pollution index, cultivated area information, forest area information, living area information, vegetation area information, soil pollution information, solid garbage information, carbon monoxide change information, formaldehyde change information, nitrogen dioxide change information, sulfur dioxide change information and ozone change information can be determined according to a preset change rate comparison table, so that a water resource score group, a land resource score group and an air resource score group are generated. The product of the scoring value for each item of data and the corresponding weight may then be determined as a water resource score, a land resource score, or an air resource score. The preset change rate comparison table may be a table including a data attribute field and a corresponding score value field. The data attribute field may include a range of rates of change for each item of data, whereby the scoring value of the scoring value field.
As an example, the data included in the preset change rate comparison table and the corresponding scoring value may be: forest area occupies [30% -60% ], and the corresponding score value may be 3. The forest area occupies more than 60 percent, and the score value is 4. The vegetation area is 0-25%, and the corresponding scoring value can be 1. The vegetation area is [25% -50% ], and the corresponding scoring value may be 2. The vegetation area is at [50-75% ], and the corresponding score value may be 3. The water area occupies 0-25%, and the scoring value can be 4. The water area occupies 25-50%, and the scoring value can be 3. The water area occupies 75-100%, and the scoring value can be 1.
And a third step of determining the water resource detection information, the land resource detection information, the air resource detection information, the water resource score group, the land resource score group, and the air resource score group as regional observation results.
And 106, adding the regional observation result to the project regional expansion map to complete construction of a project regional layer.
In some embodiments, the execution body may add the region observation result to the project region expansion map to complete construction of a project region layer. Wherein data in the region observation result can be added to the project region expansion map in various forms. For example, it may be bound to the corresponding region in the form of a link. For click viewing. The map may be displayed on the top of the map for expanding the project area by traveling the map.
The steps 102-106 and related content serve as an invention point of the embodiments of the present disclosure, and solve the second technical problem mentioned in the background art, that "when analyzing environmental data within a project area layer, a corresponding analysis frame is not set for different environmental indexes, and meanwhile, comprehensive analysis and evaluation are difficult to be performed on diverse environmental information (including, for example, water conservancy, land, air, pollutants, etc.), which results in insufficient data accuracy in the constructed area layer and thus results in environmental improvement prompts which are difficult to be sent in time. Factors that lead to environmental improvement cues that are difficult to issue in time tend to be as follows: when analyzing the environmental data in the project area layer range, the corresponding analysis frames are not set for different environmental indexes, and meanwhile, comprehensive analysis and evaluation of various environmental information (including water conservancy, land, air, pollutants and the like) are difficult, so that the data in the constructed area layer is not accurate. If the above factors are solved, an environment improvement prompt can be timely sent out. To achieve this, first, by expanding the item area a plurality of times, the range that the item area can affect can be greatly expanded. Thus, it is convenient to further extract the environmental data of the diversity within the region. Thereby improving the diversity of data and the correlation between adjacent areas. Then, by carrying out weight division on different areas, the method can be used for digitally representing different influence degrees of the project area on the surrounding environment in index weights. And then, the obtained regional observation remote sensing data can be used for analyzing the scores corresponding to the various data of each region. And because the acquired regional observation remote sensing data is multiband data, the required data can be conveniently extracted through different wavebands. Then, the scoring value corresponding to each item of data can be determined by introducing a change rate comparison table. Thus, the final scores of the different data within the item region can be divided more finely. Thereby improving the accuracy of the data in the constructed region layer. Furthermore, the environment improvement prompt can be timely sent out for the data which does not meet the conditions.
The above embodiments of the present disclosure have the following advantageous effects: by the project area layer construction method based on remote sensing data, which is disclosed by the embodiment of the invention, the data loss in the constructed project area layer can be greatly avoided. Specifically, the reason for the data missing in the project area layer that is built is: the project area is directly used as a basic layer of layer construction, and the area adjacent to the project area is not considered, so that when the regional environment data is acquired, the environmental ecological analysis is difficult to be carried out by combining the whole environment data of the associated area, and the data in the finally constructed regional layer is caused to be accurate and insufficient. Based on this, in some embodiments of the present disclosure, in response to receiving the project area information, the project area layer construction method based on the remote sensing data marks the project area corresponding to the project area information into a preset map, and obtains the marked map. Wherein the item region information includes an item region coordinate set. Then, based on the item area coordinate set included in the item area information, the item area is expanded in the marked map with the item area as a center, and an item area expanded map is obtained. The project area expansion map comprises an expanded project area, and the expanded project area comprises a map division area group. Here, considering the case where only data in the item area easily causes data missing and the interaction between the item area environment and the neighboring area environment, it is possible to determine more areas by area expansion, thereby improving the diversity of acquired environmental data. And then, determining the area protection information corresponding to each map division area in the map division area group in the expanded project area to obtain an area protection information set. Wherein the region protection information in the region is introduced to be used for characterizing the environmental data in the region. Then, establishing an project area observation task corresponding to the expanded project area, and sending the project area observation task to a target satellite to obtain area observation remote sensing data corresponding to the area observation task. Here, by establishing satellite observation tasks, the method can be used for data acquisition of the extended area. Then, based on the obtained region observation remote sensing data, a region observation result corresponding to the extended project region is generated. And the acquired regional observation results are more diversified and the data relevance is improved because the data of a larger region are acquired. And finally, adding the region observation result into the project region expansion map to complete the construction of a project region layer. Therefore, the region observation results with more diversity and relevance enable the completed project region layers to be more comprehensive and accurate. Furthermore, the data missing in the project area layer is reduced.
With further reference to fig. 3, as an implementation of the method shown in the foregoing figures, the present disclosure provides some embodiments of a project area layer construction apparatus based on remote sensing data, which correspond to those method embodiments shown in fig. 1, and the project area layer construction apparatus based on remote sensing data is particularly applicable to various electronic devices.
As shown in fig. 3, the project area layer construction apparatus 300 based on remote sensing data according to some embodiments includes: a marking unit 301, an area expanding unit 302, a determining unit 303, a setting-up unit 304, a generating unit 305, and an adding unit 306. The marking unit 301 is configured to mark an item area corresponding to item area information in a preset map in response to receiving the item area information, so as to obtain a marked map, wherein the item area information comprises an item area coordinate set; a region expansion unit 302 configured to perform a region expansion on the marked map with the region as a center based on the region coordinate set included in the region information, to obtain a region expansion map, wherein the region expansion map includes an expanded region, and the expanded region includes a map division region group; a determining unit 303 configured to determine area protection information corresponding to each map division area in the map division area group in the expanded item area, to obtain an area protection information set; a setting up and transmitting unit 304 configured to set up an project area observation task corresponding to the extended project area, and transmit the project area observation task to a target satellite, so as to obtain area observation remote sensing data corresponding to the area observation task; a generation unit 305 configured to generate a region observation result corresponding to the extended project region based on the acquired region observation remote sensing data; the adding unit 306 is configured to add the region observation result to the project region expansion map to complete construction of a project region layer.
It will be appreciated that the elements described in the apparatus 300 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations, features and resulting benefits described above with respect to the method are equally applicable to the apparatus 300 and the units contained therein, and are not described in detail herein.
Referring now to fig. 4, a schematic diagram of an electronic device 400 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 4 is merely an example and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.
As shown in fig. 4, the electronic device 400 may include a processing means 401 (e.g., a central processing unit, a graphics processor, etc.) that may perform various suitable actions and processes in accordance with a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage means 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic device 400 are also stored. The processing device 401, the ROM 402, and the RAM 403 are connected to each other by a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
In general, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, magnetic tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate with other devices wirelessly or by wire to exchange data. While fig. 4 shows an electronic device 400 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 4 may represent one device or a plurality of devices as needed.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications device 409, or from storage 408, or from ROM 402. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing device 401.
It should be noted that, in some embodiments of the present disclosure, the computer readable medium may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (Hyper Text Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be embodied in the apparatus; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: in response to receiving the item region information, marking an item region corresponding to the item region information into a preset map to obtain a marked map, wherein the item region information comprises an item region coordinate set; based on the item region coordinate set included in the item region information, carrying out item region expansion by taking the item region as a center in the marked map to obtain an item region expansion map, wherein the item region expansion map comprises an expanded item region, and the expanded item region comprises a map division region group; determining area protection information corresponding to each map division area in the map division area group in the expanded project area to obtain an area protection information set; establishing an project area observation task corresponding to the expanded project area, and sending the project area observation task to a target satellite to obtain area observation remote sensing data corresponding to the area observation task; generating an area observation result corresponding to the expanded project area based on the acquired area observation remote sensing data; and adding the region observation result into the project region expansion map to complete the construction of a project region layer.
Computer program code for carrying out operations for some embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor comprising: the device comprises a marking unit, an area expanding unit, a determining unit, a establishing unit, a transmitting unit, a generating unit and an adding unit. The names of these units do not constitute a limitation on the unit itself in some cases, and for example, the marking unit may also be described as "a unit that marks an item area corresponding to item area information into a preset map".
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.
Claims (10)
1. A project area layer construction method based on remote sensing data comprises the following steps:
in response to receiving item region information, marking an item region corresponding to the item region information into a preset map to obtain a marked map, wherein the item region information comprises an item region coordinate set;
based on the item region coordinate set included in the item region information, carrying out item region expansion by taking the item region as a center in the marked map to obtain an item region expansion map, wherein the item region expansion map comprises an expanded item region, and the expanded item region comprises a map division region group;
determining area protection information corresponding to each map division area in the map division area group in the expanded project area to obtain an area protection information set;
establishing an project area observation task corresponding to the expanded project area, and sending the project area observation task to a target satellite to obtain area observation remote sensing data corresponding to the area observation task;
generating an area observation result corresponding to the expanded project area based on the acquired area observation remote sensing data;
And adding the region observation result into the project region expansion map to complete construction of a project region layer.
2. The method of claim 1, wherein the marking the item area corresponding to the item area information into a preset map to obtain a marked map includes:
marking each item region coordinate in the item region coordinate set included in the item region information in the map to obtain a marked map, wherein each item region coordinate in the item region coordinate set forms a linear item region or a regional item region, the linear item region represents that the item is a curve in the map, and the regional item region represents that the item is a region in the map.
3. The method of claim 1, wherein the expanding the project area based on the project area coordinate set included in the project area information in the marked map with the project area as a center to obtain a project area expanded map comprises:
performing primary expansion of the project area by taking the project area as a center in the marked map by utilizing the project area coordinate set to generate a primary expansion area coordinate set, wherein each primary expansion area coordinate in the primary expansion area coordinate set encloses a primary expansion area larger than the project area in the marked map;
Performing secondary project area expansion by using the primary expansion area coordinate set in the marked map by taking the primary expansion area as a center to generate a secondary expansion area coordinate set, wherein each secondary expansion area coordinate in the secondary expansion area coordinate set encloses a secondary expansion area larger than the primary expansion area in the marked map;
performing three-time project area expansion by using the secondary expansion area coordinate set in the marked map by taking the secondary expansion area as a center to generate a three-time expansion area coordinate set, wherein each three-time expansion area coordinate in the three-time expansion area coordinate set encloses a three-time expansion area larger than the secondary expansion area in the marked map;
and determining the marked map comprising the primary expansion area coordinate set, the primary expansion area, the secondary expansion area coordinate set, the secondary expansion area, the tertiary expansion area coordinate set and the tertiary expansion area as an item area expansion map.
4. A method according to claim 3, wherein the method further comprises:
and sending the constructed project area layer to a display terminal, and sending an environment improvement prompt to a target terminal, wherein the project area, the primary expansion area, the secondary expansion area and the tertiary expansion area in the project area layer render different colors.
5. The method of claim 3, wherein the determining the area protection information corresponding to each map division area in the map division area group in the expanded item area, to obtain the area protection information set, includes:
for each map division area in the map division area group in the expanded item area, performing the following steps to generate area protection information:
retrieving natural protection area information, species information and water conservancy facility information of the map divided areas from a preset database, wherein the natural protection area information comprises a natural protection area standard score group, the species information comprises a species score group, and the water conservancy facility information comprises a water conservancy facility score group;
determining the areas of the map dividing area in the project area, the primary expansion area, the secondary expansion area and the tertiary expansion area respectively to generate index weight sets, wherein each index weight in the index weight sets is different weight of the map dividing area in different areas;
generating a regional grading value group based on the natural protection region information, the species information, the water conservancy facility information and the index weight group;
And determining the natural protection area information, the species information, the water conservancy facility information and the regional score value as regional protection information.
6. The method of claim 1, wherein the establishing an project area observation task corresponding to the extended project area comprises:
acquiring a project period corresponding to the project area information, wherein the project period is a period from the beginning of a characterization project to the end of the project;
and establishing an project area observation task for satellite observation of the expanded project area based on a preset project observation period, wherein the project area observation task is a task for periodically observing the satellite in the project period by the project observation period.
7. The method of claim 3, wherein the acquired regional observation telemetry data comprises satellite telemetry images corresponding to each project observation period; and
the generating the region observation result corresponding to the extended project region based on the obtained region observation remote sensing data comprises the following steps:
performing index detection on satellite images included in the acquired regional observation remote sensing data to generate water resource detection information, land resource detection information and air resource detection information, wherein the water resource detection information comprises water area change information and a water pollution index, and the land resource detection information comprises at least one of the following: the air resource detection information comprises at least one of the following information: carbon monoxide variation information, formaldehyde variation information, nitrogen dioxide variation information, sulfur dioxide variation information and ozone variation information;
Generating a water resource score group, a land resource score group and an air resource score group based on the water resource detection information, the land resource detection information, the air resource detection information and the corresponding index weights;
and determining the water resource detection information, the land resource detection information, the air resource detection information, the water resource score group, the land resource score group and the air resource score group as regional observation results.
8. Project area layer construction device based on remote sensing data, comprising:
the marking unit is configured to respond to receiving item area information, mark an item area corresponding to the item area information into a preset map, and obtain a marked map, wherein the item area information comprises an item area coordinate set;
the area expansion unit is configured to expand the project area by taking the project area as a center in the marked map based on the project area coordinate set included in the project area information to obtain a project area expansion map, wherein the project area expansion map comprises an expanded project area, and the expanded project area comprises a map division area group;
A determining unit configured to determine area protection information corresponding to each map division area in the map division area group in the expanded project area, to obtain an area protection information set;
the establishing and sending unit is configured to establish an project area observation task corresponding to the expanded project area and send the project area observation task to a target satellite so as to acquire area observation remote sensing data corresponding to the area observation task;
a generation unit configured to generate a region observation result corresponding to the extended project region based on the acquired region observation remote sensing data;
and the adding unit is configured to add the region observation result to the project region expansion map so as to complete construction of a project region layer.
9. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-7.
10. A computer readable medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the method of any of claims 1-7.
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