Forest biomass assessment and analysis method and system

Abstract

The present invention is applicable to the technical field of forest biomass assessment, and provides a forest biomass assessment and analysis method and system. The present invention constructs a basic assessment model and solves the basic assessment model; performs assessment planning and constructs a biomass assessment model; performs meteorological monitoring on multiple assessment sample areas; selects two remote sensing drones and performs alternating conversion between fixed safety monitoring and active remote sensing monitoring in multiple assessment sample areas; processes multiple meteorological monitoring data and multiple remote sensing monitoring data to assess the target forest biomass. It is possible to construct a biomass assessment model, perform meteorological monitoring and remote sensing monitoring on multiple assessment sample areas, and then use the biomass assessment model to assess the target forest biomass of the target forest area without felling plants and without analyzing different plant types and plant ages. It can effectively reduce the time cost and labor intensity of forest biomass assessment and avoid damage to the forest ecology.

Description

Technical Field

[0001] The present invention belongs to the technical field of forest biomass assessment, and in particular relates to a forest biomass assessment and analysis method and system. Background Art

[0002] Forest biomass assessment is a technology that evaluates ecological indicators such as the structure, function, productivity and carbon storage of forest ecosystems by quantitatively measuring the total dry matter amount of all biological organisms in the forest ecosystem (including trees, shrubs, herbaceous plants, understory vegetation, litter and soil organic matter).

[0003] In existing technologies, in order to improve the accuracy of forest biomass assessment, traditional methods often rely on field sampling, which requires cutting down plants for biomass analysis. Different analyses need to be performed for different plant types and plant ages. The process is cumbersome and complicated, which not only increases the time cost and labor intensity of forest biomass assessment, but also easily causes damage to the forest ecology. Summary of the Invention

[0004] The purpose of the embodiments of the present invention is to provide a forest biomass assessment and analysis method and system, aiming to solve the technical problems existing in the existing technology mentioned in the background technology.

[0005] The embodiment of the present invention is implemented as follows:

[0006] A forest biomass assessment and analysis method, comprising the following steps:

[0007] Constructing a basic assessment model, obtaining historical actual data of the target forest area, solving the basic assessment model, and obtaining assessment model parameters;

[0008] Conducting assessment planning for the target forest area, selecting multiple assessment sample areas, and constructing a biomass assessment model based on the assessment model parameters;

[0009] Performing meteorological monitoring on the plurality of evaluation sample areas to obtain a plurality of meteorological monitoring data;

[0010] Select two remote sensing drones to perform alternating switching between fixed safety monitoring and mobile remote sensing monitoring in multiple assessment sample areas, and collect multiple remote sensing monitoring data;

[0011] Based on the biomass assessment model, the plurality of meteorological monitoring data and the plurality of remote sensing monitoring data are processed to assess the target forest biomass of the target forest area.

[0012] As a further limitation of the technical solution of the embodiment of the present invention, constructing a basic assessment model, obtaining historical actual data of the target forest area, solving the basic assessment model, and obtaining assessment model parameters specifically include the following steps:

[0013] Build a basic assessment model;

[0014] Obtain historical actual data for the target forest area;

[0015] Performing integrity analysis on the historical actual data, and extracting valid actual data from the historical actual data;

[0016] The parameters of the basic evaluation model are solved using the effective actual data to obtain the evaluation model parameters.

[0017] As a further limitation of the technical solution of the embodiment of the present invention, the expression of the basic evaluation model is:

[0018] ;

[0019] in, Represents the basic assessment amount, 、 、 、 、 、 and Together they form the evaluation model parameters, is the X-slope, is the Y slope, is the vegetation index, is the historical minimum value of the vegetation index. is the historical maximum value of the vegetation index. is the solar radiation, is the effective radiation absorption ratio, is the precipitation, is the radiation absorption albedo ratio.

[0020] As a further limitation of the technical solution of the embodiment of the present invention, the assessment planning of the target forest area, selecting multiple assessment sample areas, and constructing a biomass assessment model based on the assessment model parameters specifically include the following steps:

[0021] Receive evaluation request information;

[0022] Performing an assessment plan for the target forest area according to the assessment request information, and selecting a plurality of assessment sample areas from the target forest area;

[0023] Determining the representative ratios of the plurality of assessment sample areas;

[0024] The basic evaluation model is processed according to the evaluation model parameters and the plurality of representative proportions to construct a biomass evaluation model.

[0025] As a further limitation of the technical solution of the embodiment of the present invention, the expression of the biomass assessment model is:

[0026] ;

[0027] in, Represents the assessed biomass, Representative There are a total of evaluation sample areas evaluation sample areas, For the The representative proportion of each evaluation sample area, For the The X-slope of the evaluation plot, For the The Y slope of each evaluation plot is For the The vegetation index of the assessment sample area, For the The solar radiation of the evaluation area, For the The effective radiation absorption ratio of the evaluation sample area is For the The precipitation in the evaluation area, For the The radiation absorption and reflection ratio of each assessment sample area.

[0028] As a further limitation of the technical solution of the embodiment of the present invention, the meteorological monitoring of the plurality of evaluation sample areas and obtaining a plurality of meteorological monitoring data specifically comprises the following steps:

[0029] Obtaining a plurality of sample plot locations of the assessment sample plots;

[0030] Plan monitoring time periods;

[0031] Meteorological monitoring is performed according to the monitoring time period and the multiple sample area locations to obtain multiple meteorological monitoring data.

[0032] As a further limitation of the technical solution of the embodiment of the present invention, the selecting of two remote sensing drones to perform alternating switching between fixed security monitoring and mobile remote sensing monitoring in the plurality of assessment sample areas, and collecting a plurality of remote sensing monitoring data specifically includes the following steps:

[0033] Select two remote sensing drones;

[0034] Conduct alternating switching between fixed safety monitoring and mobile remote sensing monitoring in multiple assessment sample areas, and select safety monitoring drones and remote sensing monitoring drones;

[0035] Planning the security monitoring location of the security monitoring drone;

[0036] Controlling the security monitoring drone to perform security monitoring and filming control at the security monitoring location to obtain security monitoring data;

[0037] Analyze the security monitoring data and plan remote sensing monitoring paths;

[0038] According to the remote sensing monitoring path, remote sensing monitoring control is performed on the remote sensing monitoring drone to obtain remote sensing monitoring data.

[0039] As a further limitation of the technical solution of the embodiment of the present invention, the processing of the plurality of meteorological monitoring data and the plurality of remote sensing monitoring data based on the biomass assessment model to assess the target forest biomass of the target forest area specifically comprises the following steps:

[0040] Extract effective evaluation data from multiple meteorological monitoring data and multiple remote sensing monitoring data;

[0041] Importing the effective assessment data into the biomass assessment model to obtain the target forest biomass of the target forest area;

[0042] Create a visual display window;

[0043] In the visual display window, the target forest biomass is visually displayed.

[0044] A forest biomass assessment and analysis system includes a model parameter calculation module, an assessment model construction module, a meteorological monitoring and processing module, a remote sensing monitoring and control module, and a forest biomass assessment module, wherein:

[0045] A model parameter solving module is used to construct a basic assessment model, obtain historical actual data of the target forest area, solve the basic assessment model, and obtain assessment model parameters;

[0046] An assessment model construction module is used to carry out assessment planning for a target forest area, select multiple assessment sample areas, and construct a biomass assessment model based on the assessment model parameters;

[0047] A meteorological monitoring processing module is used to perform meteorological monitoring on the plurality of evaluation sample areas and obtain a plurality of meteorological monitoring data;

[0048] A remote sensing monitoring control module is used to select two remote sensing drones to perform alternating switching between fixed safety monitoring and mobile remote sensing monitoring in the plurality of assessment sample areas, and collect a plurality of remote sensing monitoring data;

[0049] The forest biomass assessment module is used to process the plurality of meteorological monitoring data and the plurality of remote sensing monitoring data based on the biomass assessment model to assess the target forest biomass of the target forest area.

[0050] As a further limitation of the technical solution of the embodiment of the present invention, the remote sensing monitoring control module specifically includes:

[0051] A drone selection unit, used to select two remote sensing drones;

[0052] A conversion planning unit is used to carry out alternating conversion planning between fixed safety monitoring and active remote sensing monitoring in the plurality of assessment sample areas, and select safety monitoring drones and remote sensing monitoring drones;

[0053] A position planning unit, configured to plan a safety monitoring position of the safety monitoring drone;

[0054] A security monitoring and shooting control unit is used to control the security monitoring drone to perform security monitoring and shooting control at the security monitoring location to obtain security monitoring data;

[0055] A path planning unit, configured to analyze the security monitoring data and plan a remote sensing monitoring path;

[0056] The remote sensing monitoring control unit is used to perform remote sensing monitoring control on the remote sensing monitoring UAV according to the remote sensing monitoring path and obtain remote sensing monitoring data.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] The embodiment of the present invention constructs a basic assessment model and solves the basic assessment model; performs assessment planning and constructs a biomass assessment model; conducts meteorological monitoring of multiple assessment plots; selects two remote sensing drones and performs alternating fixed security monitoring and mobile remote sensing monitoring in multiple assessment plots; and processes the multiple meteorological monitoring data and the multiple remote sensing monitoring data to assess the target forest biomass of the target forest area. The biomass assessment model can be constructed, meteorological monitoring and remote sensing monitoring can be performed on multiple assessment plots, and then the target forest biomass of the target forest area can be assessed using the biomass assessment model without the need to cut down plants or analyze different plant types and ages. This can effectively reduce the time cost and labor intensity of forest biomass assessment and avoid damage to the forest ecosystem. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 A flow chart of a forest biomass assessment and analysis method provided by an embodiment of the present invention is shown;

[0060] Figure 2 A flow chart showing the calculation of evaluation model parameters in the method provided by an embodiment of the present invention is shown;

[0061] Figure 3 A flow chart showing the construction of a biomass assessment model in the method provided by an embodiment of the present invention is shown;

[0062] Figure 4 A flow chart showing the method for obtaining meteorological monitoring data according to an embodiment of the present invention is shown;

[0063] Figure 5 A flow chart showing alternating switching between fixed security monitoring and mobile remote sensing monitoring in a method provided by an embodiment of the present invention is shown;

[0064] Figure 6 A flow chart showing the method for evaluating target forest biomass in an embodiment of the present invention is shown;

[0065] Figure 7 The following is an application architecture diagram of a forest biomass assessment and analysis system provided by an embodiment of the present invention;

[0066] Figure 8 The figure shows a structural block diagram of a remote sensing monitoring control module in a system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0067] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0068] It is understandable that in the existing technology, in order to improve the accuracy of forest biomass assessment, traditional methods often rely on field sampling, so plants need to be cut down for biomass analysis, and different analyses need to be performed for different plant types and plant ages. The process is cumbersome and complicated, which not only increases the time cost and labor intensity of forest biomass assessment, but also easily causes damage to the forest ecology.

[0069] To address the above-mentioned issues, the forest biomass assessment and analysis method and system disclosed in the embodiments of the present invention construct a basic assessment model, obtain historical actual data of the target forest area, solve the basic assessment model, and obtain assessment model parameters; conduct an assessment plan for the target forest area, select multiple assessment sample areas, and construct a biomass assessment model based on the assessment model parameters; conduct meteorological monitoring on the multiple assessment sample areas to obtain multiple meteorological monitoring data; select two remote sensing drones to perform alternating fixed security monitoring and mobile remote sensing monitoring in the multiple assessment sample areas, collecting multiple remote sensing monitoring data; based on the biomass assessment model, process the multiple meteorological monitoring data and the multiple remote sensing monitoring data to assess the target forest biomass of the target forest area. The biomass assessment model can be constructed, meteorological monitoring and remote sensing monitoring can be performed on the multiple assessment sample areas, and then the target forest biomass of the target forest area can be assessed using the biomass assessment model without the need to cut down plants or analyze different plant types and plant ages. This can effectively reduce the time cost and labor intensity of forest biomass assessment and avoid damage to the forest ecology.

[0070] Specifically, Figure 1 A flow chart of a forest biomass assessment and analysis method provided by an embodiment of the present invention is shown.

[0071] In a preferred embodiment provided by the present invention, a forest biomass assessment and analysis method comprises the following steps:

[0072] Step S101: construct a basic assessment model, obtain historical actual data of the target forest area, solve the basic assessment model, and obtain assessment model parameters.

[0073] In an embodiment of the present invention, a basic assessment model is constructed, and historical actual data of the target forest area is obtained. The historical actual data is then analyzed for integrity, incomplete data in the historical actual data is identified and eliminated, and valid actual data is retained and extracted. The basic assessment model is then parameterized using the valid actual data to obtain assessment model parameters. Specifically, the basic assessment model is expressed as follows:

[0074] ;

[0075] in, Represents the basic assessment amount, 、 、 、 、 、 and Together they form the evaluation model parameters, is the X-slope, is the Y slope, is the vegetation index, is the historical minimum value of the vegetation index. is the historical maximum value of the vegetation index. is the solar radiation, is the effective radiation absorption ratio, is the precipitation, is the radiation absorption albedo ratio.

[0076] It can be understood that integrity analysis is a process of analyzing historical actual data according to factors such as the assessment amount, X-direction slope, Y-direction slope, vegetation index, solar radiation, effective radiation absorption ratio, precipitation and radiation absorption albedo ratio of different actual sample points. Specifically, if the actual sample point data in the historical actual data involves factors such as the assessment amount, X-direction slope, Y-direction slope, vegetation index, solar radiation, effective radiation absorption ratio, precipitation and radiation absorption albedo ratio, the corresponding actual sample point data is determined to be complete; otherwise, the corresponding actual sample point data is determined to be incomplete.

[0077] It can be understood that the historical actual data is composed of multiple actual sample data.

[0078] Specifically, Figure 2 A flow chart of calculating evaluation model parameters in the method provided by an embodiment of the present invention is shown.

[0079] In another preferred embodiment of the present invention, constructing a basic assessment model, obtaining historical actual data of the target forest area, solving the basic assessment model, and obtaining assessment model parameters specifically include the following steps:

[0080] Step S1011: constructing a basic evaluation model;

[0081] Step S1012: Acquire historical actual data of the target forest area;

[0082] Step S1013: performing integrity analysis on the historical actual data, and extracting valid actual data from the historical actual data;

[0083] Step S1014: Calculate the parameters of the basic evaluation model using the valid actual data to obtain evaluation model parameters.

[0084] Furthermore, the forest biomass assessment and analysis method further comprises the following steps:

[0085] Step S102: conducting an assessment plan for the target forest area, selecting multiple assessment sample areas, and constructing a biomass assessment model based on the assessment model parameters.

[0086] In an embodiment of the present invention, by receiving an assessment request message, an assessment plan is performed on the target forest area according to the assessment accuracy requirements in the assessment request message, multiple assessment plots are selected from the target forest area, and the representative ratios of the multiple assessment plots are determined according to the number of assessment plots, the plot areas of the assessment plots, and the total area of the target forest area. Then, according to the assessment model parameters and the multiple representative ratios, the basic assessment model is processed to construct a biomass assessment model. Specifically, the expression of the biomass assessment model is:

[0087] ;

[0088] in, Represents the assessed biomass, Representative There are a total of evaluation sample areas evaluation sample areas, For the The representative proportion of each evaluation sample area, For the The X-slope of the evaluation plot, For the The Y slope of each evaluation plot is For the The vegetation index of the assessment sample area, For the The solar radiation of the evaluation area, For the The effective radiation absorption ratio of the evaluation sample area is For the The precipitation in the evaluation area, For the The radiation absorption and reflection ratio of each assessment sample area.

[0089] It can be understood that the higher the evaluation accuracy requirement in the evaluation request information, the more evaluation sample areas are selected and the larger the area of the evaluation sample areas; the lower the evaluation accuracy requirement in the evaluation request information, the fewer evaluation sample areas are selected and the smaller the area of the evaluation sample areas.

[0090] Specifically, Figure 3 A flow chart of constructing a biomass assessment model in the method provided by an embodiment of the present invention is shown.

[0091] In another preferred embodiment of the present invention, the assessment planning of the target forest area, selecting multiple assessment sample areas, and constructing a biomass assessment model based on the assessment model parameters specifically include the following steps:

[0092] Step S1021: receiving evaluation request information;

[0093] Step S1022: performing an assessment plan for the target forest area according to the assessment request information, and selecting a plurality of assessment sample areas from the target forest area;

[0094] Step S1023, determining the representative ratio of the plurality of evaluation sample areas;

[0095] Step S1024: Process the basic evaluation model according to the evaluation model parameters and the multiple representative proportions to construct a biomass evaluation model.

[0096] Furthermore, the forest biomass assessment and analysis method further comprises the following steps:

[0097] Step S103: Perform meteorological monitoring on the plurality of evaluation sample areas to obtain a plurality of meteorological monitoring data.

[0098] In an embodiment of the present invention, by obtaining the locations of multiple evaluation sample areas and planning monitoring time periods, meteorological monitoring is performed on the multiple evaluation sample areas according to the monitoring time periods and the multiple sample area locations to obtain multiple meteorological monitoring data.

[0099] It is understandable that meteorological monitoring can be carried out through sensors arranged on site, or data can be obtained from meteorological websites according to the location of the sample area.

[0100] Specifically, Figure 4 A flow chart of obtaining meteorological monitoring data in the method provided by an embodiment of the present invention is shown.

[0101] In another preferred embodiment of the present invention, the step of performing meteorological monitoring on the plurality of evaluation sample areas and obtaining a plurality of meteorological monitoring data specifically comprises the following steps:

[0102] Step S1031, obtaining the locations of a plurality of evaluation sample areas;

[0103] Step S1032: planning a monitoring time period;

[0104] Step S1033: Perform meteorological monitoring according to the monitoring time period and the multiple sample area locations to obtain multiple meteorological monitoring data.

[0105] Furthermore, the forest biomass assessment and analysis method further comprises the following steps:

[0106] Step S104: Select two remote sensing drones to perform alternating switching between fixed safety monitoring and mobile remote sensing monitoring in the plurality of assessment sample areas, and collect a plurality of remote sensing monitoring data.

[0107] In an embodiment of the present invention, two remote sensing drones are selected and alternating conversion planning is performed on the two remote sensing drones for fixed safety monitoring and active remote sensing monitoring in multiple evaluation sample areas. From the two remote sensing drones, a safety monitoring drone and a remote sensing monitoring drone are alternately selected so that the selected safety monitoring drone selects a safety monitoring position in the corresponding evaluation sample area, and then flies to the safety monitoring position, performs safety monitoring shooting control in the corresponding evaluation sample area, obtains safety monitoring data transmitted by the safety monitoring drone, and then analyzes the safety monitoring data, plans a remote sensing monitoring path that can perform remote sensing monitoring and avoid collision hazards, and then performs remote sensing monitoring control on the remote sensing monitoring drone according to the remote sensing monitoring path, so that the remote sensing monitoring drone can perform obstacle avoidance flight and remote sensing monitoring in the corresponding evaluation sample area according to the remote sensing monitoring path, and then obtains remote sensing monitoring data transmitted by the remote sensing monitoring drone.

[0108] It can be understood that the alternating conversion planning of two remote sensing drones for fixed safety monitoring and active remote sensing monitoring is carried out by sorting the monitoring at multiple evaluation sample areas, recording the monitoring order, and then according to the monitoring order, the two remote sensing drones are alternately converted with the functional identities of fixed safety monitoring and active remote sensing monitoring. This can improve the safety of drone remote sensing monitoring in the complex environment of the forest and extend the working endurance of the drone. For example: in the first evaluation sample area, remote sensing drone A is planned for fixed safety monitoring, and remote sensing drone B is planned for active remote sensing monitoring. In the second evaluation sample area, remote sensing drone A is planned for active remote sensing monitoring, and remote sensing drone B is planned for fixed safety monitoring.

[0109] It is understandable that it is necessary to control the safety monitoring drone to conduct safety monitoring and shooting in the corresponding assessment sample area according to the preset safety monitoring period, so that the shot safety monitoring data is dynamic video data. Therefore, in the process of analyzing the safety monitoring data and planning the remote sensing monitoring path, it is necessary to avoid collisions with fixed objects (such as tree trunks, telephone poles, signal towers, etc.) and moving objects (leaves and branches swaying in the wind, etc.).

[0110] Specifically, Figure 5 The flowchart of the alternating conversion between fixed security monitoring and active remote sensing monitoring in the method provided by the embodiment of the present invention is shown.

[0111] In another preferred embodiment of the present invention, the step of selecting two remote sensing drones to perform alternating switching between fixed safety monitoring and mobile remote sensing monitoring in a plurality of assessment sample areas, and collecting a plurality of remote sensing monitoring data specifically includes the following steps:

[0112] Step S1041: Select two remote sensing drones;

[0113] Step S1042: Perform alternating switching planning between fixed safety monitoring and mobile remote sensing monitoring in the plurality of assessment sample areas, and select safety monitoring drones and remote sensing monitoring drones;

[0114] Step S1043: planning the safety monitoring position of the safety monitoring drone;

[0115] Step S1044: Control the security monitoring drone to perform security monitoring and shooting control at the security monitoring location to obtain security monitoring data;

[0116] Step S1045: Analyze the security monitoring data and plan a remote sensing monitoring path;

[0117] Step S1046: perform remote sensing monitoring control on the remote sensing monitoring drone according to the remote sensing monitoring path to obtain remote sensing monitoring data.

[0118] Furthermore, the forest biomass assessment and analysis method further comprises the following steps:

[0119] Step S105: Based on the biomass assessment model, the plurality of meteorological monitoring data and the plurality of remote sensing monitoring data are processed to assess the target forest biomass of the target forest area.

[0120] In an embodiment of the present invention, effective evaluation data is extracted from multiple meteorological monitoring data and multiple remote sensing monitoring data according to factors such as X-direction slope, Y-direction slope, vegetation index, solar radiation, effective radiation absorption ratio, precipitation and radiation absorption albedo ratio, and then the effective evaluation data is imported into a biomass evaluation model. The data is processed by the biomass evaluation model to obtain the derived target forest biomass, and a visualization display window is created. In the visualization display window, the target forest biomass of the target forest area is visualized.

[0121] Specifically, Figure 6 A flow chart of evaluating target forest biomass in the method provided by an embodiment of the present invention is shown.

[0122] In another preferred embodiment of the present invention, the processing of the plurality of meteorological monitoring data and the plurality of remote sensing monitoring data based on the biomass assessment model to assess the target forest biomass of the target forest area specifically comprises the following steps:

[0123] Step S1051: extracting effective evaluation data from a plurality of meteorological monitoring data and a plurality of remote sensing monitoring data;

[0124] Step S1052: importing the effective assessment data into the biomass assessment model to obtain the target forest biomass of the target forest area;

[0125] Step S1053: Create a visual display window;

[0126] Step S1054: Visually display the target forest biomass in the visual display window.

[0127] Further, Figure 7 The application architecture diagram of the forest biomass assessment and analysis system provided by an embodiment of the present invention is shown.

[0128] Specifically, in another preferred embodiment provided by the present invention, the forest biomass assessment and analysis system includes:

[0129] The model parameter solving module 101 is used to construct a basic assessment model, obtain historical actual data of the target forest area, solve the basic assessment model, and obtain assessment model parameters.

[0130] In the embodiment of the present invention, the model parameter calculation module 101 constructs a basic evaluation model and obtains historical actual data of the target forest area. It then performs integrity analysis on the historical actual data, identifies and eliminates incomplete data in the historical actual data, retains and extracts valid actual data, and then calculates the parameters of the basic evaluation model based on the valid actual data to obtain evaluation model parameters. Specifically, the expression of the basic evaluation model is:

[0131] ;

[0132] in, Represents the basic assessment amount, 、 、 、 、 、 and Together they form the evaluation model parameters, is the X-slope, is the Y slope, is the vegetation index, is the historical minimum value of the vegetation index. is the historical maximum value of the vegetation index. is the solar radiation, is the effective radiation absorption ratio, is the precipitation, is the radiation absorption albedo ratio.

[0133] The assessment model construction module 102 is used to carry out assessment planning for the target forest area, select multiple assessment sample areas, and construct a biomass assessment model based on the assessment model parameters.

[0134] In an embodiment of the present invention, the assessment model construction module 102 receives the assessment request information and performs assessment planning on the target forest area according to the assessment accuracy requirements in the assessment request information. A plurality of assessment sample areas are selected from the target forest area, and the representative ratios of the plurality of assessment sample areas are determined according to the number of assessment sample areas, the sample area of the assessment sample areas, and the total area of the target forest area. Then, the basic assessment model is processed according to the assessment model parameters and the plurality of representative ratios to construct a biomass assessment model. Specifically, the expression of the biomass assessment model is:

[0135] ;

[0136] in, Represents the assessed biomass, Representative There are a total of evaluation sample areas evaluation sample areas, For the The representative proportion of each evaluation sample area, For the The X-slope of the evaluation plot, For the The Y slope of each evaluation plot is For the The vegetation index of the assessment sample area, For the The solar radiation of the evaluation area, For the The effective radiation absorption ratio of the evaluation sample area is For the The precipitation in the evaluation area, For the The radiation absorption and reflection ratio of each assessment sample area.

[0137] The meteorological monitoring processing module 103 is used to perform meteorological monitoring on the plurality of evaluation sample areas and obtain a plurality of meteorological monitoring data.

[0138] In an embodiment of the present invention, the meteorological monitoring processing module 103 obtains the locations of multiple evaluation sample areas and plans a monitoring time period, and then performs meteorological monitoring on the multiple evaluation sample areas according to the monitoring time period and the multiple sample area locations to obtain multiple meteorological monitoring data.

[0139] The remote sensing monitoring control module 104 is used to select two remote sensing drones to perform alternating switching between fixed safety monitoring and mobile remote sensing monitoring in the multiple assessment sample areas, and collect multiple remote sensing monitoring data.

[0140] In an embodiment of the present invention, the remote sensing monitoring control module 104 selects two remote sensing drones and performs alternating conversion planning of fixed safety monitoring and active remote sensing monitoring on the two remote sensing drones in multiple evaluation sample areas. From the two remote sensing drones, a safety monitoring drone and a remote sensing monitoring drone are alternately selected, so that the selected safety monitoring drone selects a safety monitoring position in the corresponding evaluation sample area, and then flies to the safety monitoring position, performs safety monitoring shooting control in the corresponding evaluation sample area, obtains safety monitoring data transmitted by the safety monitoring drone, and then analyzes the safety monitoring data, plans a remote sensing monitoring path that can perform remote sensing monitoring and avoid collision hazards, and then performs remote sensing monitoring control on the remote sensing monitoring drone according to the remote sensing monitoring path, so that the remote sensing monitoring drone can perform obstacle avoidance flight and remote sensing monitoring in the corresponding evaluation sample area according to the remote sensing monitoring path, and then obtains remote sensing monitoring data transmitted by the remote sensing monitoring drone.

[0141] Specifically, Figure 8 FIG. 1 shows a structural block diagram of the remote sensing monitoring control module 104 in the system provided by an embodiment of the present invention.

[0142] In another preferred embodiment of the present invention, the remote sensing monitoring control module 104 specifically includes:

[0143] The UAV selection unit 1041 is used to select two remote sensing UAVs;

[0144] A conversion planning unit 1042 is used to perform alternating conversion planning between fixed safety monitoring and mobile remote sensing monitoring in the plurality of assessment sample areas, and select safety monitoring drones and remote sensing monitoring drones;

[0145] A position planning unit 1043 is used to plan the safety monitoring position of the safety monitoring drone;

[0146] The security monitoring and shooting control unit 1044 is used to control the security monitoring drone to perform security monitoring and shooting control at the security monitoring location to obtain security monitoring data;

[0147] A path planning unit 1045 is used to analyze the security monitoring data and plan a remote sensing monitoring path;

[0148] The remote sensing monitoring control unit 1046 is used to perform remote sensing monitoring control on the remote sensing monitoring UAV according to the remote sensing monitoring path and obtain remote sensing monitoring data.

[0149] Furthermore, the forest biomass assessment and analysis system further includes:

[0150] The forest biomass assessment module 105 is configured to process the plurality of meteorological monitoring data and the plurality of remote sensing monitoring data based on the biomass assessment model, and assess the target forest biomass of the target forest area.

[0151] In an embodiment of the present invention, the forest biomass assessment module 105 extracts effective assessment data from multiple meteorological monitoring data and multiple remote sensing monitoring data according to factors such as X-slope, Y-slope, vegetation index, solar radiation, effective radiation absorption ratio, precipitation and radiation absorption albedo ratio, and then imports the effective assessment data into the biomass assessment model. The biomass assessment model is used to process the data to obtain the derived target forest biomass, and a visualization display window is created. In the visualization display window, the target forest biomass of the target forest area is visualized.

[0152] It should be understood that, although the various steps in the flow chart of each embodiment of the present invention are shown in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence according to the order indicated by the arrows. Unless otherwise specified herein, the execution of these steps is not strictly limited in order, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0153] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When executed, the program can include the processes of the above-described method embodiments. Any reference to memory, storage, database, or other media used in the various embodiments provided herein may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM).

[0154] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A forest biomass assessment and analysis method, characterized in that: The method comprises the following steps: Constructing a basic assessment model, obtaining historical actual data of the target forest area, solving the basic assessment model, and obtaining assessment model parameters; By building a basic assessment model and obtaining historical actual data of the target forest area, the integrity of the historical actual data is analyzed, incomplete data in the historical actual data is identified and eliminated, and valid actual data is retained and extracted. Then, the parameters of the basic assessment model are solved based on the valid actual data to obtain the assessment model parameters. Specifically, the expression of the basic assessment model is: ； in, Represents the basic assessment amount, 、 、 、 、 、 and Together they form the evaluation model parameters, is the X-slope, is the Y slope, is the vegetation index, is the historical minimum value of the vegetation index. is the historical maximum value of the vegetation index. is the solar radiation, is the effective radiation absorption ratio, is the precipitation, is the radiation absorption albedo ratio; Conducting assessment planning for the target forest area, selecting multiple assessment sample areas, and constructing a biomass assessment model based on the assessment model parameters; By receiving the assessment request information, the target forest area is assessed and planned according to the assessment accuracy requirements in the assessment request information. Multiple assessment plots are selected from the target forest area, and the representative ratios of the multiple assessment plots are determined according to the number of assessment plots, the sample area of the assessment plots, and the total area of the target forest area. Then, according to the assessment model parameters and the multiple representative ratios, the basic assessment model is processed to construct a biomass assessment model. Specifically, the expression of the biomass assessment model is: ； in, Represents the assessed biomass, Representative There are a total of evaluation sample areas evaluation sample areas, For the The representative proportion of each evaluation sample area, For the The X-slope of the evaluation plot, For the The Y slope of the evaluation plot is For the The vegetation index of the assessment sample area, For the The solar radiation of the evaluation area, For the The effective radiation absorption ratio of the evaluation sample area is For the The precipitation in the evaluation area, For the Radiation absorption and albedo ratio of each assessment sample area; Performing meteorological monitoring on the plurality of evaluation sample areas to obtain a plurality of meteorological monitoring data; Select two remote sensing drones to perform alternating switching between fixed safety monitoring and mobile remote sensing monitoring in multiple assessment sample areas, and collect multiple remote sensing monitoring data; Based on the biomass assessment model, the plurality of meteorological monitoring data and the plurality of remote sensing monitoring data are processed to assess the target forest biomass of the target forest area.

2. The forest biomass assessment and analysis method according to claim 1, characterized in that: The meteorological monitoring of the plurality of evaluation sample areas and obtaining a plurality of meteorological monitoring data specifically comprises the following steps: Obtaining a plurality of sample plot locations of the assessment sample plots; Plan monitoring time periods; Meteorological monitoring is performed according to the monitoring time period and the multiple sample area locations to obtain multiple meteorological monitoring data.

3. The forest biomass assessment and analysis method according to claim 1, characterized in that: The method of selecting two remote sensing drones to perform alternating switching between fixed safety monitoring and mobile remote sensing monitoring in a plurality of assessment sample areas and collecting a plurality of remote sensing monitoring data specifically includes the following steps: Select two remote sensing drones; Conduct alternating switching between fixed safety monitoring and mobile remote sensing monitoring in multiple assessment sample areas, and select safety monitoring drones and remote sensing monitoring drones; Planning the security monitoring location of the security monitoring drone; Controlling the security monitoring drone to perform security monitoring and filming control at the security monitoring location to obtain security monitoring data; Analyze the security monitoring data and plan remote sensing monitoring paths; According to the remote sensing monitoring path, remote sensing monitoring control is performed on the remote sensing monitoring drone to obtain remote sensing monitoring data.

4. The forest biomass assessment and analysis method according to claim 1, characterized in that: The step of processing the plurality of meteorological monitoring data and the plurality of remote sensing monitoring data based on the biomass assessment model to assess the target forest biomass of the target forest area specifically comprises the following steps: Extract effective evaluation data from multiple meteorological monitoring data and multiple remote sensing monitoring data; Importing the effective assessment data into the biomass assessment model to obtain the target forest biomass of the target forest area; Create a visual display window; In the visual display window, the target forest biomass is visually displayed.

5. Forest biomass assessment and analysis system, characterized by: The system includes a model parameter solving module, an evaluation model building module, a meteorological monitoring and processing module, a remote sensing monitoring and control module, and a forest biomass evaluation module, wherein: A model parameter solving module is used to construct a basic assessment model, obtain historical actual data of the target forest area, solve the basic assessment model, and obtain assessment model parameters; The model parameter calculation module constructs a basic assessment model and obtains historical actual data of the target forest area. It then performs integrity analysis on the historical actual data, identifies and eliminates incomplete data in the historical actual data, retains and extracts valid actual data, and then calculates the parameters of the basic assessment model based on the valid actual data to obtain the assessment model parameters. Specifically, the expression of the basic assessment model is: ； in, Represents the basic assessment amount, 、 、 、 、 、 and Together they form the evaluation model parameters, is the X-slope, is the Y slope, is the vegetation index, is the historical minimum value of the vegetation index. is the historical maximum value of the vegetation index. is the solar radiation, is the effective radiation absorption ratio, is the precipitation, is the radiation absorption albedo ratio; An assessment model construction module is used to carry out assessment planning for a target forest area, select multiple assessment sample areas, and construct a biomass assessment model based on the assessment model parameters; The assessment model construction module receives the assessment request information and carries out assessment planning for the target forest area according to the assessment accuracy requirements in the assessment request information. It selects multiple assessment plots from the target forest area and determines the representative ratios of the multiple assessment plots according to the number of assessment plots, the area of the assessment plots and the total area of the target forest area. It then processes the basic assessment model according to the assessment model parameters and the multiple representative ratios to construct a biomass assessment model. Specifically, the expression of the biomass assessment model is: ； in, Represents the assessed biomass, Representative There are a total of evaluation sample areas evaluation sample areas, For the The representative proportion of each evaluation sample area, For the The X-slope of the evaluation plot, For the The Y slope of each evaluation plot is For the The vegetation index of the assessment sample area, For the The solar radiation of the evaluation area, For the The effective radiation absorption ratio of the evaluation sample area is For the The precipitation in the evaluation area, For the Radiation absorption and albedo ratio of each assessment sample area; A meteorological monitoring processing module is used to perform meteorological monitoring on the plurality of evaluation sample areas and obtain a plurality of meteorological monitoring data; A remote sensing monitoring control module is used to select two remote sensing drones to perform alternating switching between fixed safety monitoring and mobile remote sensing monitoring in the plurality of assessment sample areas, and collect a plurality of remote sensing monitoring data; The forest biomass assessment module is used to process the plurality of meteorological monitoring data and the plurality of remote sensing monitoring data based on the biomass assessment model to assess the target forest biomass of the target forest area.

6. The forest biomass assessment and analysis system according to claim 5, characterized in that: The remote sensing monitoring control module specifically includes: A drone selection unit, used to select two remote sensing drones; A conversion planning unit is used to carry out alternating conversion planning between fixed safety monitoring and active remote sensing monitoring in the plurality of assessment sample areas, and select safety monitoring drones and remote sensing monitoring drones; A position planning unit, configured to plan a safety monitoring position of the safety monitoring drone; A security monitoring and shooting control unit is used to control the security monitoring drone to perform security monitoring and shooting control at the security monitoring location to obtain security monitoring data; A path planning unit, configured to analyze the security monitoring data and plan a remote sensing monitoring path; The remote sensing monitoring control unit is used to perform remote sensing monitoring control on the remote sensing monitoring UAV according to the remote sensing monitoring path and obtain remote sensing monitoring data.

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