CN116451840A - Forest carbon reserve measuring and calculating method, system, terminal and storage medium - Google Patents
Forest carbon reserve measuring and calculating method, system, terminal and storage medium Download PDFInfo
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Abstract
The application relates to the technical field of carbon reserves, in particular to a forest carbon reserve measuring and calculating method, a forest carbon reserve measuring and calculating system, a forest carbon reserve terminal and a forest carbon reserve storage medium, wherein the forest carbon reserve measuring and calculating method comprises the following steps: acquiring a remote sensing image of a forest in a target area; acquiring first vegetation information in a target area based on the remote sensing image; dividing and classifying the first vegetation information and generating a classification result; acquiring a target sample point based on the remote sensing image and the classification result; acquiring a stereoscopic image of a forest at a target sample point; acquiring second vegetation information at a target sample point based on the stereoscopic image; judging whether the first vegetation information is matched with the second vegetation information; if the first vegetation information is matched with the second vegetation information, acquiring a measuring and calculating model based on the classification result; acquiring biomass based on the measuring and calculating model; forest carbon reserves are obtained based on biomass. The method and the device are beneficial to improving the accuracy of the forest carbon reserve measurement result.
Description
Technical Field
The application relates to the technical field of carbon reserves, in particular to a forest carbon reserve measuring and calculating method, a forest carbon reserve measuring and calculating system, a forest carbon reserve terminal and a forest carbon reserve storage medium.
Background
For over half a century, the massive use of fossil fuels and the continual reduction of forest areas, due to the increasing population worldwide, has led to the emission of major greenhouse gases such as CO into the atmosphere 2 The occurrence of disasters such as global warming, sea level rising, pest and disease damage increase, abnormal climate, land drought and desertification area increase, etc. are rapidly increased, and the survival and development of human beings are threatened. There is an urgent need to control and reduce the emission of greenhouse gases worldwide. Therefore, accurately assessing the carbon circulation of the terrestrial ecosystem is of great significance for controlling and accurately calculating the future atmospheric CO2 concentration, for the impact on the terrestrial ecosystem, and for predicting global climate change.
Forest is taken as a main body of land ecological system, and plays an important role in regulating and controlling global carbon circulation and climate change, although the forest only occupies 30 percent of the total area of the global land, forest vegetation and soil carbon reserves respectively occupy 77 percent and 57 percent of the land ecological system, so the forest ecological system is also considered as the largest carbon warehouse on the land, and the effective and accurate measurement of the carbon reserves in the forest can enable people to better protect the environment and create greater economic benefit through a carbon sink mode.
At present, the premise of understanding the forest carbon reserves is that estimation of forest biomass is taken as a premise, in the related art, the estimation method of biomass is often to measure the forest biomass of a sampling point manually and estimate the whole according to a measuring and calculating result, the difficulty of investigation in the field manually is high, the period is long, time and labor are wasted, the estimation method adopted in the related art is accurate in estimation result in a small area, but a large error exists in the estimation result when the forest biomass in a large area range is estimated, and accordingly the measuring and calculating result error of the forest carbon reserves is large.
Disclosure of Invention
In order to help to improve accuracy of forest carbon reserve measurement results, the application provides a forest carbon reserve measurement method, a forest carbon reserve measurement system, a forest carbon reserve measurement terminal and a forest carbon reserve storage medium.
In a first aspect, the present application provides a method for measuring and calculating forest carbon reserves, which adopts the following technical scheme:
a method for measuring and calculating forest carbon reserves, comprising:
acquiring a remote sensing image of a forest in a target area;
acquiring first vegetation information in a target area based on the remote sensing image;
dividing and classifying the first vegetation information and generating a classification result;
acquiring a target sample point based on the remote sensing image and the classification result;
acquiring a stereoscopic image of a forest at the target sample point;
acquiring second vegetation information at a target sample point based on the stereoscopic image;
judging whether the first vegetation information is matched with the second vegetation information;
if the first vegetation information is matched with the second vegetation information, acquiring a measuring and calculating model based on the classification result;
acquiring biomass based on the measurement model;
and acquiring forest carbon reserves based on the biomass.
By adopting the technical scheme, the first vegetation information in the target area is acquired according to the remote sensing image, the first vegetation information is classified and classified to generate a classification result, a target sample point is acquired according to the remote sensing image and the classification result, the second vegetation information of the forest at the target sample point is acquired, whether the first vegetation information is matched with the second vegetation information is judged, if so, a measuring and calculating model is acquired based on the classification result, biomass is measured and calculated according to the measuring and calculating model, and finally carbon reserves are measured and calculated according to the biomass;
the first vegetation information and the second vegetation information are compared and checked one by one, so that the second vegetation information and the first vegetation information are matched, that is, the predicted data and the actual data are matched, the accuracy of biomass estimation data is improved, the accuracy of forest carbon reserve measuring and calculating results is improved, and meanwhile, the carbon reserve is measured and calculated through the remote sensing images acquired based on satellite images and the three-dimensional images acquired through unmanned aerial vehicle laser scanning, manual sampling is not needed, and therefore time and fund waste is saved.
Optionally, the first vegetation information includes vegetation types, and the specific steps of classifying the first vegetation information and generating a classification result include:
judging whether the forest in the target area is an artificial forest or not;
if the forest is the artificial forest, judging whether a planting record exists;
if the planting records exist, acquiring vegetation types based on the planting records;
and classifying based on the vegetation types and generating classification results.
By adopting the technical scheme, whether the forest in the target area is an artificial forest or not is firstly judged, if the forest is the artificial forest, whether a planting record is stored is judged, if the planting record is stored, the vegetation type is obtained according to the planting record, and finally the classification is carried out based on the vegetation type, and a classification result is generated; when the planting records exist, the vegetation types of the trees planted in the target area can be directly obtained from the planting records without measurement and analysis, so that time and labor are saved, and the situation that the measurement and calculation of the carbon reserves are inaccurate due to analysis errors is reduced.
Optionally, the method further comprises:
if the forest is not the artificial forest or the planting record does not exist, acquiring vegetation colors based on the remote sensing image;
acquiring the corresponding vegetation type based on the vegetation color;
and classifying based on the vegetation types and generating classification results.
Through adopting above-mentioned technical scheme, if this forest is not artificial forest or does not have the record of planting, then obtain vegetation color according to first vegetation information, obtain corresponding vegetation type according to vegetation color again, divide and categorize and produce the result of categorizing according to vegetation type at last, when this forest is not artificial forest or does not have the record of planting, can't directly obtain vegetation type, consequently, need obtain vegetation color from the remote sensing image, the vegetation type that corresponds is analyzed to the contrast relation of rethread vegetation color and vegetation type, obtain vegetation type according to the actual characteristics of vegetation, help improving the accuracy of data.
Optionally, the specific step of obtaining the corresponding vegetation type based on the vegetation color includes:
acquiring a target region based on the target region;
acquiring climate information and soil property information based on the target region;
acquiring a proper type based on the climate information and the soil information;
analyzing the proper type and obtaining a type color comparison table;
and acquiring vegetation types based on the vegetation colors and the type color comparison table.
By adopting the technical scheme, the climate information and the soil information are acquired according to the target region, the proper type is acquired according to the climate information and the soil information, and finally the vegetation type is acquired according to the proper type; the tree types suitable for planting in the target area, namely suitable types, are analyzed by considering the climate information and the soil information, so that a large amount of screening contents can be reduced, and the accuracy of screening results and the screening speed can be improved.
Optionally, the specific step of obtaining the target sample point based on the remote sensing image and the classification result includes:
acquiring vegetation areas based on the remote sensing images;
acquiring target weights based on the vegetation areas;
based on the target weight and the and obtaining a target sample point by the classification result.
By adopting the technical scheme, the vegetation areas corresponding to the vegetation of different vegetation types are obtained according to the remote sensing images, then the corresponding target weights are obtained according to the vegetation areas, and finally the target sample points are obtained according to the target weights and the classification results; the target sample points are obtained according to the target weights, the larger the target weight values are, the more the number of values corresponding to the target sample points are, and then the target sample points are selected according to the classification results and different vegetation types, so that the diversity and the accuracy of the vegetation types are maintained, and the accuracy of the carbon reserve measurement results is improved.
Optionally, the first vegetation information includes vegetation type; the specific step of judging whether the first vegetation information is matched with the second vegetation information comprises the following steps:
acquiring vegetation estimated height and vegetation estimated breast diameter based on the vegetation type, the climate information and the soil information;
acquiring actual vegetation height and actual vegetation breast diameter based on the second vegetation information;
respectively obtaining a first difference value between the actual vegetation height and the estimated vegetation height and a second difference value between the actual vegetation diameter and the estimated vegetation diameter;
judging whether the first difference value and the second difference value meet a preset judgment standard or not and generating a judgment result;
and judging whether the first vegetation information is matched with the second vegetation information or not based on the judging result.
According to the technical scheme, firstly, the estimated height and the estimated breast diameter of vegetation are calculated according to vegetation types, climate information and soil information, then the actual height and the actual breast diameter of vegetation are obtained through second vegetation information, whether the first difference value and the second difference value meet preset judgment standards or not is judged, a judgment result is generated, and finally whether the first vegetation information and the second vegetation information are matched or not is judged according to the judgment result;
the estimated vegetation height and the actual vegetation height are compared and checked, and the estimated vegetation breast diameter and the actual vegetation breast diameter are compared and checked, so that the estimated vegetation height and the actual vegetation height are matched, the estimated vegetation breast diameter and the actual vegetation breast diameter are matched, the accuracy of biomass estimation data is improved, and the accuracy of a forest carbon reserve measurement result is improved.
Optionally, the specific step of determining whether the first vegetation information and the second vegetation information are matched based on the determination result includes:
obtaining the number of target sample points;
acquiring target quantity based on the judging result;
acquiring a matching success rate based on the target sample number and the target number;
judging whether the matching success rate is greater than a preset success rate threshold value or not;
and if the matching success rate is greater than the preset success threshold, judging that the first vegetation information is matched with the second vegetation information.
By adopting the technical scheme, the number of target sample points and the target number are firstly obtained, then the matching success rate is calculated according to the number of target sample points and the target number, finally whether the first vegetation information is matched with the second vegetation information is judged by judging whether the matching success rate is greater than a preset success rate threshold value, and if the matching success rate is greater than the preset success rate threshold value, the first vegetation information is judged to be matched with the second vegetation information; through presetting a success threshold, the situation that the accuracy of the carbon reserve measurement result is low due to the fact that the estimated vegetation height is not matched with the actual vegetation height or the estimated vegetation breast diameter is not matched with the actual vegetation breast diameter is avoided.
In a second aspect, the application also discloses a forest carbon reserve measuring and calculating system, which adopts the following technical scheme:
a forest carbon reserve measurement system, comprising:
the first acquisition module is used for acquiring a remote sensing image of a forest in the target area;
the second acquisition module is used for acquiring first vegetation information in the target area based on the remote sensing image;
the classifying module is used for classifying the first vegetation information and generating a classifying result;
the third acquisition module is used for acquiring a target sample point based on the remote sensing image and the classification result;
a fourth acquisition module, configured to acquire a stereoscopic image of a forest at the target sample point;
a fifth acquisition module for acquiring second vegetation information at a target sample point based on the stereoscopic image;
the judging module is used for judging whether the first vegetation information is matched with the second vegetation information;
a sixth acquisition module, configured to acquire a measurement model based on the classification result if the first vegetation information matches the second vegetation information;
a seventh acquisition module for acquiring biomass based on the measurement model;
and an eighth acquisition module for acquiring forest carbon reserves based on the biomass.
By adopting the technical scheme, the first vegetation information in the target area is acquired according to the remote sensing image, the first vegetation information is classified and classified to generate a classification result, a target sample point is acquired according to the remote sensing image and the classification result, the second vegetation information of the forest at the target sample point is acquired, whether the first vegetation information is matched with the second vegetation information is judged, if so, a measuring and calculating model is acquired based on the classification result, biomass is measured and calculated according to the measuring and calculating model, and finally carbon reserves are measured and calculated according to the biomass;
the first vegetation information and the second vegetation information are compared and checked one by one, so that the second vegetation information and the first vegetation information are matched, that is, the predicted data and the actual data are matched, the accuracy of biomass estimation data is improved, the accuracy of forest carbon reserve measuring and calculating results is improved, and meanwhile, the carbon reserve is measured and calculated through the remote sensing images acquired based on satellite images and the three-dimensional images acquired through unmanned aerial vehicle laser scanning, manual sampling is not needed, and therefore time and fund waste is saved.
In a third aspect, the present application provides a computer apparatus, which adopts the following technical scheme:
an intelligent terminal comprising a memory, a processor, wherein the memory is configured to store a computer program capable of running on the processor, and the processor, when loaded with the computer program, performs the method of the first aspect.
By adopting the technical scheme, the computer program is generated based on the method of the first aspect and is stored in the memory to be loaded and executed by the processor, so that the intelligent terminal is manufactured according to the memory and the processor, and the intelligent terminal is convenient for a user to use.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
a computer readable storage medium having stored therein a computer program which, when loaded by a processor, performs the method of the first aspect.
By adopting the technical scheme, the method based on the first aspect generates the computer program, and stores the computer program in the computer readable storage medium to be loaded and executed by the processor, and the computer program is convenient to read and store through the computer readable storage medium.
In summary, the present application includes the following beneficial technical effects:
acquiring first vegetation information in a target area according to the remote sensing image, dividing and classifying the first vegetation information to generate a classifying result, acquiring a target sample point according to the remote sensing image and the classifying result, acquiring second vegetation information of a forest at the target sample point, judging whether the first vegetation information is matched with the second vegetation information, acquiring a measuring and calculating model based on the classifying result if the first vegetation information is matched with the second vegetation information, measuring and calculating biomass according to the measuring and calculating model, and finally measuring and calculating carbon reserves according to the biomass;
the first vegetation information and the second vegetation information are compared and checked one by one, so that the second vegetation information and the first vegetation information are matched, that is, the predicted data and the actual data are matched, the accuracy of biomass estimation data is improved, the accuracy of forest carbon reserve measuring and calculating results is improved, and meanwhile, the carbon reserve is measured and calculated through the remote sensing images acquired based on satellite images and the three-dimensional images acquired through unmanned aerial vehicle laser scanning, manual sampling is not needed, and therefore time and fund waste is saved.
Drawings
FIG. 1 is a main flow chart of a method for measuring and calculating forest carbon reserves according to an embodiment of the present application;
fig. 2 is a specific step flowchart of steps S201 to S204;
fig. 3 is a specific step flowchart of steps S301 to S303;
fig. 4 is a specific step flowchart of steps S401 to S405;
fig. 5 is a step flowchart of steps S501 to S503;
fig. 6 is a step flowchart of steps S601 to S605;
fig. 7 is a step flowchart of steps S701 to S705;
fig. 8 is a block diagram of a forest carbon reserve measurement system according to an embodiment of the present application.
Reference numerals illustrate:
1. a first acquisition module; 2. a second acquisition module; 3. a classifying module; 4. a third acquisition module; 5. a fourth acquisition module; 6. a fifth acquisition module; 7. a judging module; 8. a sixth acquisition module; 9. a seventh acquisition module; 10. and an eighth acquisition module.
Detailed Description
In a first aspect, the present application discloses a method for measuring and calculating forest carbon reserves.
Referring to fig. 1, a method for measuring and calculating a forest carbon reserve includes steps S101 to S110:
step S101: and acquiring a remote sensing image of the forest in the target area.
Specifically, in this embodiment, the target area refers to an area where the carbon reserve needs to be measured and calculated, and the remote sensing image is a preprocessed satellite image obtained from the target area by observing the micro data platform through the resource satellite application center, where preprocessing includes orthographic correction, radiometric calibration, image fusion, atmospheric correction, and the like.
Step S102: based on the remote sensing image, first vegetation information in the target area is obtained.
Specifically, in this embodiment, the first vegetation information is vegetation information obtained according to the remote sensing image, where the first vegetation information includes vegetation type, vegetation color, vegetation area, and the like of the vegetation, and the vegetation is obtained by analysis from the remote sensing image, and in this embodiment, the vegetation refers to trees, such as trees, shrubs, and the like.
Step S103: and dividing and classifying the first vegetation information and generating a classification result.
Specifically, in this embodiment, the vegetation of the target area is classified by means of manual visual interpretation, that is, the relevant parameters such as tree species, colors, areas and the like of the vegetation in the image of the target area are classified, and the ecological type area is classified.
Step S104: and acquiring a target sample point based on the remote sensing image and the classification result.
Specifically, in this embodiment, the target sample point is a sampling point selected from the target area and used for representing the carbon reserves in the whole target area, the tree species and the distribution ratio of different trees in the sample area are determined by the colors on the remote sensing image, and a representative area is selected as the target sampling point according to the classification result, so that a plurality of target sample points can be set in order to ensure the accuracy of data.
Step S105: and acquiring a stereoscopic image of the forest at the target sample point.
Specifically, in this embodiment, the unmanned aerial vehicle carries the laser radar to survey the target sample point in the satellite image, and returns the stereoscopic image of vegetation at the target sample point.
Step S106: second vegetation information at the target sample point is acquired based on the stereoscopic image.
Specifically, in this embodiment, the second vegetation information is vegetation information obtained according to the stereoscopic image, where the second vegetation information includes vegetation type, vegetation actual tree height, vegetation actual breast diameter, and the like, and the second vegetation information is calculated and obtained according to the stereoscopic image.
Step S107: and judging whether the first vegetation information is matched with the second vegetation information.
Specifically, in this embodiment, by comparing the first vegetation information with the second vegetation information, it is determined whether the first vegetation information is matched with the second vegetation information, where the matching indicates that the related data is within a preset error range, specifically, in this embodiment, the tree height may be estimated through a remote sensing image, for example, through a tree shadow, etc., and then the height is compared with the actual height of the tree in the second vegetation information, for example, the height of the vegetation tree obtained in the first vegetation information is 10 meters, the height of the vegetation tree obtained in the second vegetation information is 20 meters, and the preset error range is 0.5 meters, so that it is obvious that the first vegetation information is not matched with the second vegetation information.
Step S108: and if the first vegetation information is matched with the second vegetation information, acquiring a measuring and calculating model based on the classification result.
Specifically, in this embodiment, the measurement model is a model for measuring and calculating biomass, different classification results correspond to different measurement models, a correspondence table is established in advance between the measurement model and the corresponding classification result, and the measurement model can be directly obtained according to the classification result according to the correspondence table.
Step S109: and acquiring biomass based on the measuring and calculating model.
Specifically, in this embodiment, standard wood is selected in the stand sample field, and the tree height, breast diameter and average biomass of the standard wood are measured, so that the biomass of the stand in the sample field is deduced to obtain the biomass of the whole stand.
Step S110: forest carbon reserves are obtained based on biomass.
Specifically, in this example, the carbon reserves were calculated from biomass.
According to the forest carbon reserve measuring and calculating method provided by the embodiment, first vegetation information in a target area is obtained according to a remote sensing image, the first vegetation information is divided and classified to generate a classification result, a target sample point is obtained according to the remote sensing image and the classification result, second vegetation information of a forest at the target sample point is obtained, whether the first vegetation information is matched with the second vegetation information is judged, if so, a measuring and calculating model is obtained based on the classification result, biomass is measured and calculated according to the measuring and calculating model, and finally carbon reserve is measured and calculated according to the biomass;
the first vegetation information and the second vegetation information are compared and checked one by one, so that the second vegetation information and the first vegetation information are matched, that is, the predicted data and the actual data are matched, the accuracy of biomass estimation data is improved, the accuracy of forest carbon reserve measuring and calculating results is improved, and meanwhile, the carbon reserve is measured and calculated through the remote sensing images acquired based on satellite images and the three-dimensional images acquired through unmanned aerial vehicle laser scanning, manual sampling is not needed, and therefore time and fund waste is saved.
Referring to fig. 2, in one implementation manner of the present embodiment, the specific steps of classifying the first vegetation information and generating the classification result in step S103 include steps S201 to S204:
step S201: and judging whether the forest in the target area is an artificial forest or not.
Specifically, in this embodiment, the relevant information may be acquired from the relevant departments, so as to determine whether the forest in the target area is an artificial forest.
Step S202: if the forest is an artificial forest, judging whether a planting record exists.
Specifically, in this embodiment, the planting record includes the type and number of vegetation planted, and the like.
Step S203: and if the planting record exists, acquiring the vegetation type based on the planting record.
Specifically, in this embodiment, if there is a planting record, the vegetation type, i.e. the vegetation type, can be directly known, and in this embodiment, the vegetation refers to trees, such as arbor, shrub, etc.
Step S204: and classifying based on the vegetation types and generating classification results.
Specifically, in this embodiment, the classification result includes all vegetation classified according to the vegetation type.
According to the forest carbon reserve measuring and calculating method provided by the embodiment, whether the forest in the target area is an artificial forest is judged, if the forest is the artificial forest, whether a planting record is stored is judged, if the planting record is stored, the vegetation type is obtained according to the planting record, and finally classification is carried out based on the vegetation type, and a classification result is generated; when the planting records exist, the vegetation types of the trees planted in the target area can be directly obtained from the planting records without measurement and analysis, so that time and labor are saved, and the situation that the measurement and calculation of the carbon reserves are inaccurate due to analysis errors is reduced.
Referring to fig. 3, in one implementation manner of the present embodiment, step S301 to step S303 are further included:
step S301: and if the forest is a non-artificial forest or no planting record exists, acquiring vegetation colors based on the remote sensing image.
Specifically, in this embodiment, the vegetation color is the color of the vegetation on the satellite image; in this embodiment, the satellite image is a color image, so that the actual color of the photographed content can be clearly displayed.
Step S302: and acquiring the corresponding vegetation type based on the vegetation color.
Specifically, in this embodiment, the vegetation type is presumed by the vegetation color, and a target correspondence is preset between the vegetation color and the vegetation type, so that the vegetation type can be directly presumed according to the vegetation color.
Step S303: and classifying based on the vegetation types and generating classification results.
According to the forest carbon reserve measuring and calculating method, if the forest is not an artificial forest or no planting record exists, the vegetation color is obtained according to the first vegetation information, the corresponding vegetation type is obtained according to the vegetation color, the classification is carried out according to the vegetation type, the classification result is generated, when the forest is not an artificial forest or no planting record exists, the vegetation type cannot be directly obtained, therefore, the vegetation color needs to be obtained from the remote sensing image, the corresponding vegetation type is analyzed according to the comparison relation between the vegetation color and the vegetation type, the vegetation type is obtained according to the actual characteristics of the vegetation, and the accuracy of data is improved.
Referring to fig. 4, in one implementation of the present embodiment, the specific steps of obtaining the corresponding vegetation type based on the vegetation color in step S302 include steps S401 to S405:
step S401: and acquiring a target region based on the target region.
Specifically, in this embodiment, the target region is the county or city where the target region is located.
Step S402: and acquiring climate information and soil property information based on the target region.
Specifically, in this embodiment, the climate information refers to the climate information of the target region, where the climate information includes illumination, air temperature, precipitation, and the like; the soil information to the target region includes the geological type, the soil type and the like.
Step S403: the appropriate type is obtained based on the climate information and the soil information.
Specifically, in this embodiment, the suitable type is a vegetation type suitable for planting.
Step S404: and analyzing the proper type and obtaining a type color comparison table.
Specifically, in this embodiment, the type color comparison table is a comparison table of vegetation types and vegetation colors.
Step S405: and acquiring vegetation types based on the vegetation color and type color comparison table.
Specifically, in this embodiment, a color corresponding to the vegetation color is selected from the type color comparison table, so as to obtain the vegetation type corresponding to the vegetation color.
According to the forest carbon reserve measuring and calculating method provided by the embodiment, climate information and soil information are acquired according to a target region, a proper type is acquired according to the climate information and the soil information, and finally a vegetation type is acquired according to the proper type; the tree types suitable for planting in the target area, namely suitable types, are analyzed by considering the climate information and the soil information, so that a large amount of screening contents can be reduced, and the accuracy of screening results and the screening speed can be improved.
Referring to fig. 5, in one implementation manner of the present embodiment, the specific step of obtaining the target sample point based on the remote sensing image and the classification result in step S104 includes steps S501 to S503:
step S501: and acquiring vegetation areas based on the remote sensing images.
Specifically, in this embodiment, the vegetation areas are areas corresponding to different vegetation types.
Step S502: the target weight is obtained based on the vegetation area.
Specifically, in this embodiment, the target weight may be calculated according to the ratio of the vegetation area in the target area.
Step S503: and acquiring a target sample point based on the target weight and the classification result.
Specifically, in this embodiment, when selecting the target sample points, the target weights and the classification results are considered at the same time, so that not only the number of the target sample points selected in the vegetation region with the large target weights is ensured, but also the target sample points in the region with each representative vegetation type are ensured as much as possible.
According to the forest carbon reserve measuring and calculating method provided by the embodiment, firstly, vegetation areas corresponding to vegetation of different vegetation types are obtained according to remote sensing images, then, corresponding target weights are obtained according to the vegetation areas, and finally, target sample points are obtained according to the target weights and classification results; the target sample points are obtained according to the target weights, the larger the target weight values are, the more the number of values corresponding to the target sample points are, and then the target sample points are selected according to the classification results and different vegetation types, so that the diversity and the accuracy of the vegetation types are maintained, and the accuracy of the carbon reserve measurement results is improved.
Referring to fig. 6, in one implementation manner of the present embodiment, the specific step of determining whether the first vegetation information and the second vegetation information are matched in step S107 includes steps S601 to S605:
step S601: and acquiring vegetation estimated height and vegetation estimated breast diameter based on the vegetation type, the climate information and the soil information.
Specifically, in this embodiment, the first vegetation information includes vegetation type, and according to the vegetation type, climate information and soil information, the estimated vegetation height and the estimated vegetation breast diameter can be estimated.
Step S602: and acquiring the actual vegetation height and the actual vegetation breast diameter based on the second vegetation information.
Specifically, in this embodiment, the second vegetation information includes the actual height of the vegetation and the actual breast diameter of the vegetation, the three-dimensional image is obtained by laser scanning of the unmanned aerial vehicle, and the actual height of the vegetation and the actual breast diameter of the vegetation are obtained by calculating the height and the breast diameter of the vegetation in the three-dimensional image.
Step S603: and respectively obtaining a first difference value of the actual vegetation height and the estimated vegetation height and a second difference value of the actual vegetation breast diameter and the estimated vegetation breast diameter.
Specifically, in this embodiment, the first difference is a value obtained by subtracting the estimated vegetation height from the actual vegetation height, and the second difference is a value obtained by subtracting the estimated vegetation breast diameter from the actual vegetation breast diameter.
Step S604: judging whether the first difference value and the second difference value meet preset judgment standards or not and generating a judgment result.
Specifically, in this embodiment, the preset determination criteria include a height standard and a breast diameter standard, the height standard may be set to have a first difference value smaller than 0.5 m, the breast diameter standard may be set to have a second difference value smaller than 10 cm, and the determination result includes satisfaction and non-satisfaction.
Step S605: and judging whether the first vegetation information is matched with the second vegetation information or not based on a judging result.
Specifically, in this embodiment, if the judgment result is satisfied, the first vegetation information is matched with the second vegetation information, and if the judgment result is not satisfied, the first vegetation information is not matched with the second vegetation information.
According to the forest carbon reserve measuring and calculating method provided by the embodiment, firstly, the estimated height and the estimated breast diameter of vegetation are measured and calculated according to vegetation types, climate information and soil information, then the actual height and the actual breast diameter of vegetation are obtained through second vegetation information, whether the first difference value and the second difference value meet preset judgment standards or not is judged, a judgment result is generated, and finally whether the first vegetation information and the second vegetation information are matched or not is judged according to the judgment result;
the estimated vegetation height and the actual vegetation height are compared and checked, and the estimated vegetation breast diameter and the actual vegetation breast diameter are compared and checked, so that the estimated vegetation height and the actual vegetation height are matched, the estimated vegetation breast diameter and the actual vegetation breast diameter are matched, the accuracy of biomass estimation data is improved, and the accuracy of a forest carbon reserve measurement result is improved.
Referring to fig. 7, in one implementation manner of the present embodiment, the specific step of determining, in step S605, whether the first vegetation information matches the second vegetation information based on the determination result includes steps S701 to S705:
step S701: and obtaining the number of target sample points.
Specifically, in this embodiment, the number of target sample points is the number of target sample points.
Step S702: based on the judgment result, the target number is acquired.
Specifically, in this embodiment, the target number is the number that is determined to be satisfied.
Step S703: and obtaining the matching success rate based on the target sample number and the target number.
Specifically, in this embodiment, the matching success rate= (target number-target number of sample points)/target number of sample points.
Step S704: judging whether the matching success rate is larger than a preset success rate threshold value.
Specifically, in this embodiment, the preset success rate threshold may be 80% or 90%.
Step S705: and if the matching success rate is greater than a preset success threshold, judging that the first vegetation information is matched with the second vegetation information.
According to the forest carbon reserve measuring and calculating method provided by the embodiment, the number of target sample points and the number of targets are firstly obtained, then the matching success rate is calculated according to the number of target sample points and the number of targets, finally whether the first vegetation information is matched with the second vegetation information is judged by judging whether the matching success rate is greater than a preset success rate threshold value, and if the matching success rate is greater than the preset success rate threshold value, the first vegetation information is judged to be matched with the second vegetation information; through presetting a success threshold, the situation that the accuracy of the carbon reserve measurement result is low due to the fact that the estimated vegetation height is not matched with the actual vegetation height or the estimated vegetation breast diameter is not matched with the actual vegetation breast diameter is avoided.
The implementation principle of the forest carbon reserve measuring and calculating method in the embodiment of the application is as follows: acquiring a remote sensing image of a forest in a target area; acquiring first vegetation information in a target area based on the remote sensing image; dividing and classifying the first vegetation information and generating a classification result; acquiring a target sample point based on the remote sensing image and the classification result; acquiring a stereoscopic image of a forest at a target sample point; acquiring second vegetation information at a target sample point based on the stereoscopic image; judging whether the first vegetation information is matched with the second vegetation information; if the first vegetation information is matched with the second vegetation information, acquiring a measuring and calculating model based on the classification result; acquiring biomass based on the measuring and calculating model; forest carbon reserves are obtained based on biomass.
In a second aspect, the application also discloses a forest carbon reserve measurement system.
Referring to fig. 8, a forest carbon reserve measurement system, comprising:
the first acquisition module 1 is used for acquiring a remote sensing image of a forest in a target area;
the second acquisition module 2 is used for acquiring first vegetation information in the target area based on the remote sensing image;
the classifying module 3 is used for classifying and classifying the first vegetation information and generating a classifying result;
the third acquisition module 4 is used for acquiring target sample points based on the remote sensing images and the classification results;
a fourth obtaining module 5, configured to obtain a stereoscopic image of a forest at a target sample point;
a fifth acquisition module 6 for acquiring second vegetation information at the target sample point based on the stereoscopic image;
a judging module 7, configured to judge whether the first vegetation information and the second vegetation information are matched;
the sixth acquisition module 8 is configured to acquire a measurement model based on the classification result if the first vegetation information matches the second vegetation information;
a seventh obtaining module 9, configured to obtain biomass based on the measurement model;
an eighth acquisition module 10 is configured to acquire a forest carbon reserve based on the biomass.
The implementation principle of the forest carbon reserve measuring and calculating system is as follows: the method comprises the steps that a first acquisition module 1 acquires a remote sensing image of a forest in a target area and sends the remote sensing image to a second acquisition module 2, the second acquisition module 2 acquires first vegetation information in the target area based on the remote sensing image and sends the first vegetation information to a classification module 3 and a judgment module 7, the classification module 3 classifies and classifies the first vegetation information to generate a classification result and sends the classification result to a third acquisition module 4, and the third acquisition module 4 acquires a target sample point based on the remote sensing image and the classification result and sends the target sample point to a fourth acquisition module 5; the fourth acquisition module 5 acquires a stereoscopic image of a forest at a target sample point, sends the stereoscopic image to the fifth acquisition module 6, and the fifth acquisition module 6 acquires second vegetation information at the target sample point based on the stereoscopic image and sends the second vegetation information to the judgment module 7;
the judging module 7 judges whether the first vegetation information is matched with the second vegetation information, if the first vegetation information is matched with the second vegetation information, the judging module 7 sends a judging result to the sixth acquiring module 8, the sixth acquiring module 8 acquires a measuring and calculating model based on the classifying result and sends the measuring and calculating model to the seventh acquiring module 9, the seventh acquiring module 9 acquires biomass based on the measuring and calculating model and sends the biomass to the eighth acquiring module 10, and the eighth acquiring module 10 acquires forest carbon reserves based on the biomass, so that the same technical effects as the forest carbon reserve measuring and calculating method are achieved.
In a third aspect, an embodiment of the present application discloses an intelligent terminal, including a memory, and a processor, where the memory is configured to store a computer program capable of running on the processor, and when the processor loads the computer program, the processor executes a forest carbon reserve measurement method of the foregoing embodiment.
In a fourth aspect, embodiments of the present application disclose a computer readable storage medium, and a computer program is stored in the computer readable storage medium, where the computer program, when loaded by a processor, performs a forest carbon reserve measuring method of the above embodiments.
The foregoing are all preferred embodiments of the present application, and are not intended to limit the scope of the present application in any way, therefore: all equivalent changes in structure, shape and principle of this application should be covered in the protection scope of this application.
Claims (10)
1. A method for measuring and calculating forest carbon reserves, comprising the steps of:
acquiring a remote sensing image of a forest in a target area;
acquiring first vegetation information in a target area based on the remote sensing image;
dividing and classifying the first vegetation information and generating a classification result;
acquiring a target sample point based on the remote sensing image and the classification result;
acquiring a stereoscopic image of a forest at the target sample point;
acquiring second vegetation information at a target sample point based on the stereoscopic image;
judging whether the first vegetation information is matched with the second vegetation information;
if the first vegetation information is matched with the second vegetation information, acquiring a measuring and calculating model based on the classification result;
acquiring biomass based on the measurement model;
and acquiring forest carbon reserves based on the biomass.
2. The method for measuring and calculating forest carbon reserves according to claim 1, wherein the first vegetation information includes vegetation types, and the specific steps of classifying the first vegetation information and generating classification results include:
judging whether the forest in the target area is an artificial forest or not;
if the forest is the artificial forest, judging whether a planting record exists;
if the planting records exist, acquiring vegetation types based on the planting records;
and classifying based on the vegetation types and generating classification results.
3. A method for measuring and calculating forest carbon reserves as recited in claim 2, further comprising:
if the forest is not the artificial forest or the planting record does not exist, acquiring vegetation colors based on the remote sensing image;
acquiring the corresponding vegetation type based on the vegetation color;
and classifying based on the vegetation types and generating classification results.
4. A method for measuring and calculating forest carbon reserves according to claim 3, wherein the step of obtaining the corresponding vegetation type based on the vegetation color comprises:
acquiring a target region based on the target region;
acquiring climate information and soil property information based on the target region;
acquiring a proper type based on the climate information and the soil information;
analyzing the proper type and obtaining a type color comparison table;
and acquiring vegetation types based on the vegetation colors and the type color comparison table.
5. The method for measuring and calculating forest carbon reserves according to claim 1, wherein the step of obtaining the target sample point based on the remote sensing image and the classification result comprises:
acquiring vegetation areas based on the remote sensing images;
acquiring target weights based on the vegetation areas;
and acquiring a target sample point based on the target weight and the classification result.
6. The method for measuring and calculating forest carbon reserves according to claim 4, wherein the first vegetation information includes vegetation type; the specific step of judging whether the first vegetation information is matched with the second vegetation information comprises the following steps:
acquiring vegetation estimated height and vegetation estimated breast diameter based on the vegetation type, the climate information and the soil information;
acquiring actual vegetation height and actual vegetation breast diameter based on the second vegetation information;
respectively obtaining a first difference value between the actual vegetation height and the estimated vegetation height and a second difference value between the actual vegetation diameter and the estimated vegetation diameter;
judging whether the first difference value and the second difference value meet a preset judgment standard or not and generating a judgment result;
and judging whether the first vegetation information is matched with the second vegetation information or not based on the judging result.
7. The method for measuring and calculating forest carbon reserves according to claim 6, wherein the step of determining whether the first vegetation information and the second vegetation information match based on the determination result includes:
obtaining the number of target sample points;
acquiring target quantity based on the judging result;
acquiring a matching success rate based on the target sample number and the target number;
judging whether the matching success rate is greater than a preset success rate threshold value or not;
and if the matching success rate is greater than the preset success threshold, judging that the first vegetation information is matched with the second vegetation information.
8. A forest carbon reserve measurement system, comprising:
the first acquisition module (1) is used for acquiring a remote sensing image of a forest in a target area;
the second acquisition module (2) is used for acquiring first vegetation information in the target area based on the remote sensing image;
the classifying module (3) is used for classifying the first vegetation information and generating a classifying result;
the third acquisition module (4) is used for acquiring a target sample point based on the remote sensing image and the classification result;
a fourth acquisition module (5) for acquiring a stereoscopic image of a forest at the target sample point;
a fifth acquisition module (6) for acquiring second vegetation information at a target sample point based on the stereoscopic image;
a judging module (7) for judging whether the first vegetation information is matched with the second vegetation information;
a sixth obtaining module (8), wherein if the first vegetation information is matched with the second vegetation information, the sixth obtaining module (8) is used for obtaining a measurement and calculation model based on the classification result;
a seventh acquisition module (9) for acquiring biomass based on the calculation model;
an eighth acquisition module (10) for acquiring a forest carbon reserve based on the biomass.
9. A smart terminal comprising a memory, a processor, wherein the memory is adapted to store a computer program capable of running on the processor, and wherein the processor, when loaded with the computer program, performs the method of any of claims 1 to 7.
10. A computer readable storage medium having a computer program stored therein, characterized in that the computer program, when loaded by a processor, performs the method of any of claims 1 to 7.
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| CN117871792A (en) * | 2024-03-13 | 2024-04-12 | 河北省建筑科学研究院有限公司 | Dynamic monitoring method and system for green carbon sequestration in park |
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| CN117871792A (en) * | 2024-03-13 | 2024-04-12 | 河北省建筑科学研究院有限公司 | Dynamic monitoring method and system for green carbon sequestration in park |
| CN117871792B (en) * | 2024-03-13 | 2024-05-14 | 河北省建筑科学研究院有限公司 | Dynamic monitoring method and system for green carbon sequestration in park |
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