CN116049342B - Habitat quality monitoring method and device - Google Patents
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Abstract
The invention provides a habitat quality monitoring method and a monitoring device, wherein a basic geographic database is constructed in a cloud platform according to attribute information of a plurality of monitoring areas and multi-source land cover products, so that an effective data basis can be provided for habitat quality monitoring; the method comprises the steps that a habitat quality monitoring model is built in a cloud platform based on evaluation rule information in a desktop end evaluation model, and migration of a habitat quality measuring and calculating function from the desktop end evaluation model to the cloud platform can be achieved; the method comprises the steps of obtaining the habitat quality evaluation parameters of a target monitoring area through public information, wherein the target monitoring area is any monitoring area in a plurality of monitoring areas, obtaining land covering products corresponding to the target monitoring area based on a geographic database, and inputting the habitat quality evaluation parameters of the target monitoring area and the corresponding land covering products into a habitat quality monitoring model, so that accurate and efficient monitoring of the habitat quality of the target monitoring area can be achieved.
Description
Technical Field
The invention relates to the technical field of habitat quality monitoring, in particular to a habitat quality monitoring method and a habitat quality monitoring device.
Background
Aiming at the problems of loss of biodiversity and the like caused by the land coverage change related to human activities, china has formally established and selected a group of national parks and national park candidate areas so as to realize the protection of the authenticity and the integrity of a natural ecosystem. The grasping of dynamic and even near real-time information of the quality of the environment in the national park area can provide a quantitative reference for the construction of future national parks.
However, the state park habitat quality conditions on the current state scale have limitations in terms of space-time distribution range and change monitoring real-time. Especially, the lack of the near-real-time land coverage data and the research on the current habitat quality drawing mostly depend on a traditional desktop end evaluation model represented by an integrated evaluation model (Integrated Valuation of Ecosystem Services and Trade-offs, inVEST) for ecological system service and balance, and the operation of the model excessively depends on the configuration of a computer, so that the efficiency is low, and the requirement of large-scale long-time habitat quality evaluation work is hardly met.
Disclosure of Invention
Therefore, the technical problem to be solved by the invention is to overcome the defects of lack of land coverage data and lack of performance of a traditional desktop end evaluation model in the near real-time in the prior art, thereby providing a habitat quality monitoring method and a habitat quality monitoring device.
According to a first aspect, an embodiment of the present invention provides a method for monitoring quality of a habitat, including the steps of: constructing a basic geographic database in a cloud platform according to attribute information of a plurality of monitoring areas and the multi-source land cover products; establishing a habitat quality monitoring model in the cloud platform based on evaluation rule information in the desktop end evaluation model; acquiring a habitat quality evaluation parameter of a target monitoring area through public information, wherein the target monitoring area is any monitoring area in a plurality of monitoring areas; acquiring a land cover product corresponding to a target monitoring area based on the geographic database; inputting the habitat quality evaluation parameters of the target monitoring area and the corresponding land cover products into the habitat quality monitoring model to obtain the habitat quality of the target monitoring area.
With reference to the first aspect, in a first implementation manner of the first aspect, the step of constructing a basic geographic database in a cloud platform according to attribute information of a plurality of monitoring areas and a multi-source land cover product includes: acquiring attribute information of a plurality of monitoring areas, and performing first preprocessing on the attribute information; acquiring the multi-source land cover product, and performing second pretreatment on the multi-source land cover product; and uploading the attribute information subjected to the first pretreatment and the multi-source land cover product subjected to the second pretreatment to the cloud platform to construct the basic geographic database.
With reference to the first aspect, in a second implementation manner of the first aspect, the step of obtaining the habitat quality assessment parameter of the target monitoring area through public information includes: extracting geographic information and habitat quality evaluation parameters of each research area in the public information; constructing a corresponding relation between the geographic information and the habitat quality evaluation parameter; and acquiring the habitat quality evaluation parameters of the target monitoring area based on the corresponding relation.
With reference to the second implementation manner of the first aspect, in a third implementation manner of the first aspect, the step of acquiring a habitat quality assessment parameter of the target monitoring area based on the correspondence relationship includes: acquiring quality evaluation parameters of geographic information in the target monitoring area based on the corresponding relation; and taking an average value of the quality evaluation parameters when the same type of quality evaluation parameters are a plurality of, and taking the average value as the type of quality evaluation parameters of the target monitoring area.
With reference to the first aspect, in a fourth implementation manner of the first aspect, the step of constructing a habitat quality monitoring model in the cloud platform based on evaluation rule information in the desktop evaluation model includes: extracting evaluation rule information from a desktop end evaluation model; and constructing the quality monitoring model in the cloud platform by utilizing a platform algorithm based on the evaluation rule information.
With reference to the first aspect, in a fifth implementation manner of the first aspect, the step of obtaining, based on the geographic database, a land cover product corresponding to the target monitoring area includes: extracting the region boundary information of the target monitoring region from the attribute information of the geographic database; and cutting the multi-source land cover product based on the area boundary information of the target monitoring area so as to obtain the land cover product corresponding to the target monitoring area.
With reference to the first aspect, in a sixth implementation manner of the first aspect, after inputting the habitat quality assessment parameter of the target monitoring area and the corresponding land cover product into the habitat quality monitoring model to obtain the habitat quality of the target monitoring area, the method further includes: based on the obtained habitat quality, a habitat quality degradation zone and/or a habitat quality improvement zone in the target monitoring area is identified using a time series variation method and a hotspot analysis method.
With reference to the second embodiment of the first aspect, in a seventh embodiment of the first aspect, the first preprocessing includes, but is not limited to, a geographic registration process and a vectorization process; the second preprocessing includes, but is not limited to, a timing consistency check process.
With reference to the first aspect, in an eighth implementation manner of the first aspect, the cloud platform includes: and (3) any one of a google earth cloud platform, a digital earth cloud platform and a space-time remote sensing cloud service platform.
In a second aspect, an embodiment of the present invention further provides a habitat quality monitoring device, including: the database construction unit is used for constructing a basic geographic database in the cloud platform according to the attribute information of the plurality of monitoring areas and the multi-source land cover products; the model building unit is used for building a habitat quality monitoring model in the cloud platform based on evaluation rule information in the desktop end evaluation model; the first acquisition unit is used for acquiring the habitat quality evaluation parameters of the target monitoring area through the public information; the second acquisition unit is used for acquiring a land cover product corresponding to a target monitoring area based on the geographic database, wherein the target monitoring area is any monitoring area in a plurality of monitoring areas; and the monitoring unit is used for inputting the habitat quality evaluation parameters of the target monitoring area and the corresponding land cover products into the habitat quality monitoring model so as to obtain the habitat quality of the target monitoring area.
The technical scheme of the invention has the following advantages:
the invention provides a habitat quality monitoring method and a habitat quality monitoring device, wherein a basic geographic database is built in a cloud platform according to attribute information of a plurality of monitoring areas and multi-source land cover products, so that an effective data basis can be provided for habitat quality monitoring; the method comprises the steps that a habitat quality monitoring model is built in a cloud platform based on evaluation rule information in a desktop end evaluation model, and migration of a habitat quality measuring and calculating function from the desktop end evaluation model to the cloud platform can be achieved; the method comprises the steps of obtaining the habitat quality evaluation parameters of a target monitoring area through public information, wherein the target monitoring area is any monitoring area in a plurality of monitoring areas, obtaining land covering products corresponding to the target monitoring area based on a geographic database, and inputting the habitat quality evaluation parameters of the target monitoring area and the corresponding land covering products into a habitat quality monitoring model, so that accurate and efficient monitoring of the habitat quality of the target monitoring area can be achieved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for monitoring quality of a habitat according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for constructing a base geographic database according to an embodiment of the present invention.
Fig. 3 is a flowchart of a method for obtaining a habitat quality assessment parameter of a target monitoring area according to an embodiment of the present invention.
Fig. 4 is a flowchart of another method for monitoring quality of habitat according to an embodiment of the present invention.
Fig. 5 is a schematic block diagram of a habitat quality monitoring device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; the two components can be directly connected or indirectly connected through an intermediate medium, or can be communicated inside the two components, or can be connected wirelessly or in a wired way. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
In addition, the technical features of the different embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
Fig. 1 is a flowchart of a method for monitoring quality of a habitat according to an embodiment of the present invention. As shown in fig. 1, the method for monitoring the quality of a habitat provided by the embodiment of the invention comprises the following steps: step S1-step S5.
Step S1, a basic geographic database is built in a cloud platform according to attribute information of a plurality of monitoring areas and the multi-source land cover products.
The monitoring area is an area in which the monitoring of the quality of the habitat is prepared, the size of the area is not limited, and for example, the monitoring area may be an established national park, a national park candidate area, a wild animal and plant protection area, or the like. The attribute information of the monitoring area includes area geographic information, area information, area boundary information and the like of the monitoring area, wherein the geographic information can be the affiliated position of the monitoring area.
The multi-source land cover product refers to a plurality of land cover products of different sources, and the land cover product can be a near-real-time land cover product, and can also comprise a historical period and a near-real-time land cover product. It should be noted that, a corresponding land cover product may be selected according to the monitoring requirement of the monitored area, for example, if the monitored area is a national park in china, the coverage area of the land cover product should cover at least china in order to ensure the effect of monitoring the habitat quality. In addition, in order to ensure high resolution and near real-time performance of the habitat quality monitoring, the time resolution of the land cover product is at least not lower than one day.
The cloud platform in the present application refers to a cloud platform capable of performing analysis processing on global data, for example, the cloud platform includes but is not limited to: google Earth cloud platform (Google Earth Engine, GEE), digital Earth cloud platform (Analytical Insight of Earth, AI Earth) and space-time remote sensing cloud service platform (Pixel Information Expert Engine, PIE-Engine).
The basic geographic database is a database which is constructed on the cloud platform and contains attribute information of a monitoring area and multi-source land cover products. In the embodiment, a basic geographic database is constructed in the cloud platform according to the attribute information of the plurality of monitoring areas and the multi-source land cover products, so that the lack of near-real-time land cover data can be reduced, and an effective data basis is provided for carrying out the habitat quality monitoring.
And S2, constructing a habitat quality monitoring model in the cloud platform based on evaluation rule information in the desktop end evaluation model.
The desktop end evaluation model is a model for carrying out the calculation of the habitat quality on the terminal, and the calculation of the model is excessively dependent on the configuration of a computer. Desktop end assessment models such as the InVEST model (Integrated Valuation of Ecosystem Services and Trade-offs, comprehensive assessment model for ecosystem services and trade-offs), the Forest-BGC model (Forest biogeochemical cycles, process-based bioelectrochemical cycle model), and the like. The InVEST model is a model system for evaluating the service function quantity of the ecosystem and the economic value thereof and supporting the management and decision of the ecosystem. The evaluation rule information contained in the model is a measurement rule for measuring the quality of the habitat, for example, the evaluation rule information includes, but is not limited to, mathematical expressions of the degree of influence of threat factors on the habitat, threat levels to the habitat on a grid-by-grid basis, measuring the quality of the habitat, and the like.
In one embodiment, the step of constructing a habitat quality monitoring model in a cloud platform based on evaluation rule information in a desktop end evaluation model includes: and extracting evaluation rule information from the desktop end evaluation model, and constructing a quality monitoring model in the cloud platform by utilizing a platform algorithm based on the evaluation rule information.
The platform algorithm is a programming algorithm for realizing a certain function in the cloud platform, for example, javaScript script language codes are used for writing and extracting evaluation rule information in the GEE, and the copy and migration of the habitat quality calculation function from the desktop end evaluation model to the GEE are realized. The cloud platform is well provided with a quality monitoring model, and has a complete habitat quality measuring and calculating function in the desktop end assessment model.
In the embodiment, the habitat quality monitoring model is built in the cloud platform based on the evaluation rule information in the desktop end evaluation model, so that the habitat quality measuring and calculating function in the desktop end evaluation model can be migrated to the cloud platform, the phenomenon that the traditional desktop end habitat quality evaluation model represented by the InVEST model excessively depends on a check elbow configured by a computer is broken through, and the efficiency of habitat quality evaluation of a large scale and long time sequence is effectively improved.
And S3, acquiring the habitat quality evaluation parameters of the target monitoring area through the public information.
The target monitoring area is any monitoring area in a plurality of monitoring areas.
The public information refers to information related to the monitoring area, such as papers, research reports, academic conference recordings, and the like, which are published in the public platform.
The habitat quality evaluation parameters refer to parameters required for the habitat quality measurement of the monitored area. For example, the habitat quality assessment parameters include, but are not limited to, parameters of habitat fitness, habitat sensitivity to threat factors, and the like.
And S4, acquiring a land cover product corresponding to the target monitoring area based on the geographic database.
The land cover product corresponding to the target monitoring area is only used for describing the land cover product of the target detection area.
In one embodiment, the step of obtaining land cover products corresponding to the target monitoring area based on the geographic database includes: and extracting the regional boundary information of the target monitoring region from the attribute information of the geographic database, and cutting out the multi-source land cover product based on the regional boundary information of the target monitoring region so as to obtain the land cover product corresponding to the target monitoring region.
And S5, inputting the habitat quality evaluation parameters of the target monitoring area and the corresponding land cover products into a habitat quality monitoring model to obtain the habitat quality of the target monitoring area.
The time sequence of the input land cover product determines the time sequence of the output target monitoring area habitat quality, for example, if the input land cover product is a near real-time land cover product, the output target monitoring area habitat quality is the near real-time habitat quality. Thus, historical time and near real-time day-by-day pixel-by-pixel habitat quality monitoring of the target monitoring area may be performed by step S5. And the ecological quality monitoring of the target monitoring area long time sequence can be realized by controlling the time sequence of the land covering product input each time.
The invention provides a habitat quality monitoring method, wherein a basic geographic database is built in a cloud platform according to attribute information of a plurality of monitoring areas and multi-source land cover products, an effective data basis is provided for habitat quality monitoring, a habitat quality monitoring model is built in the cloud platform based on evaluation rule information in a desktop end evaluation model, a habitat quality measuring and calculating function is transferred from the desktop end evaluation model to the cloud platform, and finally a habitat quality evaluation parameter of a target monitoring area is acquired through public information, wherein the target monitoring area is any monitoring area in the plurality of monitoring areas, the land cover products corresponding to the target monitoring area are acquired based on the geographic database, the habitat quality evaluation parameter of the target monitoring area and the corresponding land cover products are input into the habitat quality monitoring model, and accurate and efficient monitoring of the habitat quality of the target monitoring area is achieved.
Fig. 2 is a flowchart of a method for constructing a base geographic database according to an embodiment of the present invention. As shown in fig. 2, constructing a basic geographic database in the cloud platform according to attribute information of a plurality of monitoring areas and the multi-source land cover product (step S1), including: step S11-step S13.
And S11, acquiring attribute information of a plurality of monitoring areas, and performing first preprocessing on the attribute information.
The attribute information of the plurality of monitored areas can be obtained through a public planning file of the monitored areas, and can also be obtained through map software.
In some embodiments, where the monitored area is a national park and/or national park candidate, a planning file for the national park and/or national park candidate is extracted from the relevant website, and attribute information for the national park and/or national park candidate is obtained based on the planning file.
The first preprocessing includes, but is not limited to, a geo-registration process and a vectorization process.
In some embodiments, after obtaining the attribute information of the plurality of monitoring areas, a first preprocessing, that is, a geographic registration process and a vectorization process, may be performed on the attribute information in the geographic information system software to obtain attribute information after the first preprocessing, where the attribute information after the first preprocessing includes geographic coordinate information of the monitoring areas, a closed area vector diagram, and the like.
Taking the monitoring area as a national park and a national park candidate area as an example, the above step S11 is described as follows: and extracting raster diagrams of the planning ranges of the national park and the national park candidate areas from planning files of the national park and the national park candidate areas, and carrying out geographic registration and vectorization on the raster diagrams of the planning ranges in ArcGIS software (a geographic information system software) to obtain a national park shape (a space data format) vector file.
In this embodiment, the first preprocessing of the attribute information may extract effective information in the attribute information, reduce redundancy of the attribute information, and improve efficiency of subsequent habitat quality monitoring.
And step S12, acquiring a multi-source land cover product, and carrying out second pretreatment on the multi-source land cover product.
Wherein the second preprocessing includes, but is not limited to, a timing consistency check process.
The timing consistency check process is, for example: e.g. a pixel is the year roundiDAY (DAY) i ) The type of land cover being woodland, but DAY i-5 To DAY i+5 Removal of DAY during time period i The types of coverage of the pixels are grasslands except for the pixel, then the original coverage product is indicated in the DAY i The type of coverage of the pixel of (2) is highly likely to be misplaced, thus placing the pixel in DAY i The land cover type of (2) is modified from woodland to grassland. And (5) obtaining corrected land coverage data adopted by the invention through checking and correcting pixel by pixel.
In the embodiment, the time sequence consistency check treatment is performed on the multi-source land cover product, so that a more reasonable land cover cube can be obtained, the accuracy of the land cover product is improved, and the accuracy of the subsequent habitat quality monitoring is improved.
And S13, uploading the attribute information subjected to the first pretreatment and the multisource land covering product subjected to the second pretreatment to a cloud platform to construct a basic geographic database.
In this embodiment, the attribute information and the multi-source land cover product are preprocessed in advance, and then a basic geographic database is built on the cloud platform based on the preprocessed attribute information and the multi-source land cover product, so that not only can the accuracy of data in the database be improved, but also the efficiency of uploading the preprocessed attribute information to the cloud platform is higher due to the fact that the redundancy of the preprocessed attribute information is reduced, and the efficiency of building the basic geographic database can be effectively improved.
Fig. 3 is a flowchart of a method for obtaining a habitat quality assessment parameter of a target monitoring area according to an embodiment of the present invention. As shown in fig. 3, acquiring the habitat quality assessment parameters of the target monitoring area by the public information (step S3) includes: step S31 to step S33.
And step 31, extracting geographic information and habitat quality evaluation parameters of each research area in the public information.
The public information refers to information related to the monitoring area, such as papers, research reports, academic conference records and the like related to the monitoring area, which are issued in a public platform. The study area refers to the area studied in the public information. The geographical information of the investigation region, for example, the investigation region, comprises position information of the investigation region, for example, longitude and latitude geographical coordinates.
In one embodiment, the step of extracting the geographical information and the habitat quality assessment parameters for each of the research areas in the public information includes: and searching the public information according to the preset keywords, and extracting geographic information and habitat quality evaluation parameters of each research area in the public information.
The preset keywords are preset according to the monitoring area. For example, in the case of a national park in which the monitored area is China, the values of parameters such as suitability of different types of habitats and sensitivity of the types of habitats to threat factors in each document may be extracted by searching for keywords such as "habitat quality", "China", "habituation quality", and "China" in a database such as the Web of Science (a document search database).
And 32, constructing a corresponding relation between the geographic information and the habitat quality evaluation parameter.
The corresponding relation between the geographic information and the habitat quality evaluation parameter can be constructed in a form of a table or in a form of map visualization. For example, when the method is constructed in a map visualization form, the research area involved in the existing research can be vectorized in the ArcGIS according to the longitude and latitude geographical coordinates of the research area in the extracted literature, the visualization on the map can be realized, and the habitat quality evaluation parameters are linked to the corresponding research areas.
And step 33, acquiring a habitat quality evaluation parameter of the target monitoring area based on the corresponding relation.
The corresponding relationship is a corresponding relationship between the geographic information and the habitat quality evaluation parameter, so that the habitat quality evaluation parameter corresponding to the target monitoring area can be obtained according to the geographic information of the target monitoring area.
In one embodiment, the step of acquiring the habitat quality assessment parameter of the monitored target area based on the correspondence relationship includes: and acquiring quality evaluation parameters of which the geographic information is positioned in the target monitoring area based on the corresponding relation, taking an average value of the quality evaluation parameters when the quality evaluation parameters of the same type are a plurality of in the acquired quality evaluation parameters, and taking the average value as the quality evaluation parameters of the type of the target monitoring area. In this embodiment, when the same type of quality evaluation parameter is a plurality of quality evaluation parameters, the error between the quality evaluation parameter and the actual situation can be reduced by averaging the plurality of quality evaluation parameters, and the accuracy of the quality evaluation parameter can be improved.
In some embodiments, averaging the multiple quality assessment parameters may be implemented using a partition statistics function in ArcGIS.
Fig. 4 is a flowchart of another method for monitoring quality of habitat according to an embodiment of the present invention. As shown in fig. 4, after inputting the habitat quality assessment parameters of the target monitoring area and the corresponding land cover products into the habitat quality monitoring model to obtain the habitat quality of the target monitoring area (step S5), the habitat quality monitoring method further includes:
and S6, identifying a habitat quality degradation area and/or a habitat quality improvement area in the target monitoring area by using a time sequence change method and a hot spot analysis method based on the obtained habitat quality.
The time sequence change method is a method for continuously observing an area within a certain period of time, extracting relevant features and analyzing the change process of the relevant features.
The hot spot analysis (Getis-Ord Gi) method refers to a method of calculating each element in a dataset for identifying spatial clusters of high and low values with statistical significance.
In this embodiment, continuous habitat quality within a certain period of time may be obtained, and hot spot analysis may be performed to identify a high value and a low value in the target monitoring area, where a spatial area corresponding to the high value represents a habitat quality improvement area, and a spatial area corresponding to the low value represents a habitat quality degradation area.
In this embodiment, based on the obtained habitat quality, the time sequence variation method and the hotspot analysis method are used to identify the habitat quality degradation area and/or the habitat quality improvement area in the target monitoring area, so that accurate and real-time data basis can be provided for the spatial differentiation design of the habitat quality control path.
Fig. 5 is a schematic block diagram of a habitat quality monitoring device according to an embodiment of the present invention. As shown in fig. 5, the habitat quality monitoring device includes: a database construction unit 51, a model construction unit 52, a first acquisition unit 53, a second acquisition unit 54, and a monitoring unit 55.
The database construction unit 51 is configured to construct a basic geographic database in the cloud platform according to attribute information of the plurality of monitoring areas and the multi-source land cover product.
In some embodiments, database construction unit 51 includes a first database construction subunit, a second database construction subunit, and a third database construction subunit.
The first database construction subunit is used for acquiring attribute information of a plurality of monitoring areas and carrying out first preprocessing on the attribute information; the second database construction subunit is used for acquiring a multi-source land cover product and carrying out second pretreatment on the multi-source land cover product; and the third database construction subunit is used for uploading the attribute information subjected to the first pretreatment and the multisource land covering product subjected to the second pretreatment to the cloud platform so as to construct a basic geographic database.
The model building unit 52 is configured to build a habitat quality monitoring model in the cloud platform based on the evaluation rule information in the desktop evaluation model.
In some embodiments, model building unit 52 includes a first extraction subunit and an algorithm programming subunit.
The first extraction subunit is used for extracting the evaluation rule information from the desktop end evaluation model; the algorithm programming subunit is used for constructing a quality monitoring model in the cloud platform by utilizing a platform algorithm based on the evaluation rule information.
The first obtaining unit 53 is configured to obtain a habitat quality evaluation parameter of a target monitoring area through public information, where the target monitoring area is any one of a plurality of monitoring areas.
In some embodiments, the first acquisition unit 53 includes a second extraction subunit, a first processing subunit, and a first acquisition subunit.
The second extraction subunit is used for extracting geographic information and habitat quality evaluation parameters of each research area in the public information; the first processing subunit is used for constructing a corresponding relation between the geographic information and the habitat quality evaluation parameter; the first acquisition subunit is used for acquiring the habitat quality evaluation parameters of the target monitoring area based on the corresponding relation.
And a second obtaining unit 54, configured to obtain, based on the geographic database, a land cover product corresponding to the target monitoring area.
In some embodiments, the second acquisition unit 54 includes a third extraction subunit and a second acquisition subunit.
The third extraction subunit is used for extracting the area boundary information of the target monitoring area from the attribute information of the geographic database; the second acquisition subunit is used for cutting out the multi-source land cover product based on the area boundary information of the target monitoring area so as to acquire the land cover product corresponding to the target monitoring area.
The monitoring unit 55 is configured to input the habitat quality evaluation parameter of the target monitoring area and the corresponding land cover product into the habitat quality monitoring model to obtain the habitat quality of the target monitoring area.
In one embodiment, the habitat quality monitoring device further comprises an identification unit. The identification unit is used for: based on the habitat quality obtained by the monitoring unit 55, a habitat quality degradation area and/or a habitat quality improvement area in the target monitoring area is identified using a time series variation method and a hotspot analysis method.
It should be clear that the invention is not limited to the specific arrangements and processes described in the foregoing embodiments and shown in the drawings. For convenience and brevity of description, detailed descriptions of known methods are omitted herein, and specific working processes of the systems, modules and units described above may refer to corresponding processes in the foregoing method embodiments, which are not repeated herein.
The invention provides a habitat quality monitoring device, wherein a database construction unit constructs a basic geographic database in a cloud platform according to attribute information of a plurality of monitoring areas and multi-source land coverage products, and provides an effective data base for habitat quality monitoring; the model construction unit constructs a habitat quality monitoring model in the cloud platform based on evaluation rule information in the desktop end evaluation model, and achieves migration of a habitat quality measuring and calculating function from the desktop end evaluation model to the cloud platform; the first acquisition unit acquires the habitat quality evaluation parameters of the target monitoring area through public information, wherein the target monitoring area is any monitoring area in the plurality of monitoring areas, the second acquisition unit acquires land coverage products corresponding to the target monitoring area based on the geographic database, and the monitoring unit inputs the habitat quality evaluation parameters of the target monitoring area and the corresponding land coverage products into the habitat quality monitoring model, so that accurate and efficient monitoring of the habitat quality of the target monitoring area is realized.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. While still being apparent from variations or modifications that may be made by those skilled in the art are within the scope of the invention.
Claims (8)
1. A method for monitoring the quality of a habitat, comprising the steps of:
constructing a basic geographic database in a cloud platform according to attribute information of a plurality of monitoring areas and the multi-source land cover products;
establishing a habitat quality monitoring model in the cloud platform based on evaluation rule information in the desktop end evaluation model;
acquiring a habitat quality evaluation parameter of a target monitoring area through public information, wherein the target monitoring area is any monitoring area in a plurality of monitoring areas;
acquiring a land cover product corresponding to the target monitoring area based on the basic geographic database;
inputting the habitat quality evaluation parameters of the target monitoring area and the corresponding land cover products into the habitat quality monitoring model to obtain the habitat quality of the target monitoring area;
the step of obtaining the habitat quality evaluation parameters of the target monitoring area through the public information comprises the following steps:
extracting geographic information and habitat quality evaluation parameters of each research area in the public information;
constructing a corresponding relation between the geographic information and the habitat quality evaluation parameter;
acquiring quality evaluation parameters of geographic information in the target monitoring area based on the corresponding relation; and taking an average value of the quality evaluation parameters when the same type of quality evaluation parameters are a plurality of quality evaluation parameters, and taking the average value as the type of quality evaluation parameters of the target monitoring area.
2. The method for monitoring the quality of a habitat of claim 1, wherein said step of constructing a base geographic database in a cloud platform from attribute information of a plurality of monitored areas and a multi-source land cover product comprises:
acquiring attribute information of a plurality of monitoring areas, and performing first preprocessing on the attribute information;
acquiring the multi-source land cover product, and performing second pretreatment on the multi-source land cover product;
and uploading the attribute information subjected to the first pretreatment and the multi-source land cover product subjected to the second pretreatment to the cloud platform to construct the basic geographic database.
3. The method for monitoring the quality of a habitat according to claim 1, wherein the step of constructing the habitat quality monitoring model in the cloud platform based on the evaluation rule information in the desktop evaluation model includes:
extracting evaluation rule information from a desktop end evaluation model;
and constructing the quality monitoring model in the cloud platform by utilizing a platform algorithm based on the evaluation rule information.
4. The method for monitoring the quality of a habitat according to claim 1, wherein the step of acquiring a land cover product corresponding to a target monitoring area based on the base geographic database includes:
extracting the region boundary information of the target monitoring region from the attribute information of the basic geographic database;
and cutting the multi-source land cover product based on the area boundary information of the target monitoring area so as to obtain the land cover product corresponding to the target monitoring area.
5. The method of claim 1, further comprising, after the inputting of the habitat quality assessment parameters and the corresponding land cover products of the target monitored area to the habitat quality monitoring model to obtain the habitat quality of the target monitored area:
based on the obtained habitat quality, a habitat quality degradation zone and/or a habitat quality improvement zone in the target monitoring area is identified using a time series variation method and a hotspot analysis method.
6. The habitat quality monitoring method of claim 2 wherein said first preprocessing includes a geo-registration process and a vectorization process; the second preprocessing includes a timing consistency check process.
7. The habitat quality monitoring method of claim 1, wherein said cloud platform comprises: and (3) any one of a google earth cloud platform, a digital earth cloud platform and a space-time remote sensing cloud service platform.
8. A habitat quality monitoring device, comprising:
the database construction unit is used for constructing a basic geographic database in the cloud platform according to the attribute information of the plurality of monitoring areas and the multi-source land cover products;
the model building unit is used for building a habitat quality monitoring model in the cloud platform based on evaluation rule information in the desktop end evaluation model;
a first acquisition unit configured to acquire a habitat quality evaluation parameter of a target monitoring area through public information, wherein the target monitoring area is any one of a plurality of monitoring areas;
the second acquisition unit is used for acquiring land covering products corresponding to the target monitoring areas based on the basic geographic database;
the monitoring unit is used for inputting the habitat quality evaluation parameters of the target monitoring area and the corresponding land cover products into the habitat quality monitoring model so as to obtain the habitat quality of the target monitoring area;
the first acquisition unit comprises a second extraction subunit, a first processing subunit and a first acquisition subunit;
the second extraction subunit is used for extracting geographic information and habitat quality evaluation parameters of each research area in the public information;
the first processing subunit is used for constructing a corresponding relation between geographic information and the habitat quality evaluation parameter;
the first obtaining subunit is used for obtaining quality evaluation parameters of which the geographic information is located in the target monitoring area based on the corresponding relation; and taking an average value of the quality evaluation parameters when the same type of quality evaluation parameters are a plurality of quality evaluation parameters, and taking the average value as the type of quality evaluation parameters of the target monitoring area.
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| CN110163472A (en) * | 2019-04-11 | 2019-08-23 | 中国水利水电科学研究院 | A wide range of extreme drought emergency monitoring and impact evaluation method and system |
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