CN115082273A - Method and system for visualizing fine regional vegetation carbon sink - Google Patents
Method and system for visualizing fine regional vegetation carbon sink Download PDFInfo
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Abstract
The invention relates to the technical field of ecological environment management, and particularly discloses a method and a system for visualizing fine regional vegetation carbon sink, wherein the method comprises the steps of extracting a land utilization type of a target region based on the land utilization type remote sensing data and biomass remote sensing data; determining a forest area based on the land utilization type, and establishing a growth curve of the forest area based on a preset fitting curve; calculating the carbon sink amount of the forest region based on the growth curve, and determining the carbon sink proportion of different forest regions; and distributing the total carbon sink amount to different sub-areas of a target area based on the carbon sink proportion, and performing visual conversion on the distributed target area. According to the method, the target area is selected, the carbon sequestration amount is calculated according to the forest area in the target area, then carbon sequestration redistribution is carried out on different areas according to the land utilization type, and the redistribution result is visually displayed, so that the control of the areas by workers is facilitated.
Description
Technical Field
The invention relates to the technical field of ecological environment management, in particular to a method and a system for visualizing fine regional vegetation carbon sink.
Background
The sufficient understanding of the spatial difference of the forest carbon sequestration can guide national and regional forestry departments to provide reasonable measures for protecting and enriching the ecological system, and provide a reference for optimizing the spatial development and protection pattern of the land ecological system, perfecting the ecological functional area and improving the carbon sequestration of the forest.
The forest carbon sink spatialization is realized, which greatly depends on high-resolution remote sensing data and ecosystem model simulation. The development of the remote sensing technology provides strong data support for research and management of an ecosystem, but a high-resolution satellite remote sensing image is difficult to obtain, poor in timeliness and prone to interference of external environment factors. Particularly for a small area, the spatial resolution needs to be higher, and the limitation of the spatial resolution causes that forest carbon sinks in the small area cannot be displayed in a spatialization mode, and the difference of the carbon sinks in the area is difficult to distinguish.
Disclosure of Invention
The invention aims to provide a method and a system for visualizing carbon sink of vegetation in a fine area, which are used for solving the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
a method of fine area vegetation carbon sink visualization, the method comprising:
selecting a target area, acquiring historical ecosystem data of the area, and determining the total carbon sink amount of vegetation in the area;
obtaining land utilization type remote sensing data and biomass remote sensing data of the target area, and extracting the land utilization type of the target area based on the land utilization type remote sensing data and the biomass remote sensing data; wherein the land use types include forests, lawns, and farmlands;
determining a forest area based on the land utilization type, and establishing a growth curve of the forest area based on a preset fitting curve; the growth curve is a curve relation between vegetation biomass and forest age;
calculating the carbon sink amount of the forest area based on the growth curve, and determining the carbon sink proportion of different forest areas;
and distributing the total carbon sink amount to different sub-areas of a target area based on the carbon sink proportion, and performing visual conversion on the distributed target area.
As a further scheme of the invention: the step of determining the total carbon sink for the vegetation in the area comprises:
acquiring carbon sink quantities of different types of vegetation in all spatial grids of a target area based on the trained dynamic vegetation model;
and then calculating corresponding total carbon sink amount according to the area of each vegetation type of the target area, and calculating the total carbon sink amount of the target area.
As a further scheme of the invention: the step of determining the total carbon sink for the vegetation in the area comprises:
acquiring forest resource statistical data, and inputting the forest resource statistical data into a preset calculation formula to obtain total carbon sink amount;
the calculation formula is as follows:
Carbon_sink=C_stock×ρ_wood×k_convert×R_carbon×44/12；
wherein, Carbon _ sink is the Carbon sink of the forest; c _ stock is the amount of change of the forest living standing wood accumulation for two consecutive years; rho _ wood is the average wood density of the standing tree; k _ convert is a biological conversion coefficient; r _ carbon is biomass carbon content; 44/12 refers to the CO2/C ratio.
As a further scheme of the invention: the fitted curve is:
BM=BM_eq×(1-e^((-age/τ)))
wherein, BM is vegetation biomass; BM _ eq is the vegetation biomass density in an equilibrium state; age is the forest age; tau is the recovery time of vegetation biomass density in equilibrium.
As a further scheme of the invention: the step of calculating the carbon sink amount of the forest area based on the growth curve comprises:
acquiring the current-year vegetation biomass bm1 of each forest grid from the vegetation biomass data of the target area;
determining a tree age1 based on the growth curve;
calculating biomass bm0 corresponding to the forest age0 of the trees in the previous year based on the growth curve;
and calculating the difference value of bm1 and bm0, and estimating the forest carbon sink amount of each forest grid in the current year.
The technical scheme of the invention also provides a carbon sink visualization system for the vegetation in the fine area, which comprises the following steps:
the total amount calculation module is used for selecting a target area, acquiring historical ecosystem data of the area and determining the total carbon sink amount of vegetation in the area;
the type determining module is used for acquiring the land utilization type remote sensing data and the biomass remote sensing data of the target area and extracting the land utilization type of the target area based on the land utilization type remote sensing data and the biomass remote sensing data; wherein the land use types include forests, lawns, and farmlands;
the curve generation module is used for determining a forest area based on the land utilization type and establishing a growth curve of the forest area based on a preset fitting curve; the growth curve is a curve relation between vegetation biomass and forest age;
the subregion calculation module is used for calculating the carbon sink amount of the forest regions based on the growth curve and determining the carbon sink proportion of different forest regions;
and the distribution display module is used for distributing the total carbon sink amount to different sub-areas of the target area based on the carbon sink proportion and performing visual conversion on the distributed target area.
As a further scheme of the invention: the sub-region calculation module includes:
a first obtaining unit, which is used for obtaining the annual vegetation biomass bm1 of each forest grid from the vegetation biomass data of the target area;
a first calculation unit for determining the tree age1 based on the growth curve;
the second calculating unit is used for calculating biomass bm0 corresponding to the forest age0 of the tree in the previous year based on the growth curve;
and the difference value calculating unit is used for calculating the difference value between bm1 and bm0 and estimating the current-year forest carbon sink amount of each forest grid.
Compared with the prior art, the invention has the beneficial effects that: according to the method, the target area is selected, the carbon sequestration amount is calculated according to the forest area in the target area, then carbon sequestration redistribution is carried out on different areas according to the land utilization type, and the redistribution result is visually displayed, so that the control of the areas by workers is facilitated.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a flow chart of a method for visualizing fine area vegetation carbon sink.
Fig. 2 is a high-resolution vegetation biomass map of an area in 2010.
Fig. 3 is a high-resolution land use type map of a certain area in 2020.
FIG. 4 is a plot of forest biomass versus forest age in a region.
Fig. 5 is a spatial distribution diagram of forest carbon sink in a certain area in 2017.
Fig. 6 is a spatial distribution diagram of forest carbon sink in a certain area in 2018.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
Fig. 1 is a flow chart of a method for visualizing fine area vegetation carbon sink, in an embodiment of the present invention, the method includes:
step S100: selecting a target area, acquiring historical ecosystem data of the area, and determining the total carbon sink of vegetation in the area;
step S200: obtaining land utilization type remote sensing data and biomass remote sensing data of the target area, and extracting the land utilization type of the target area based on the land utilization type remote sensing data and the biomass remote sensing data; wherein the land use types include forests, lawns, and farmlands;
step S300: determining a forest area based on the land utilization type, and establishing a growth curve of the forest area based on a preset fitting curve; the growth curve is a curve relation between vegetation biomass and forest age;
step S400: calculating the carbon sink amount of the forest region based on the growth curve, and determining the carbon sink proportion of different forest regions;
step S500: and distributing the total carbon sink amount to different sub-areas of a target area based on the carbon sink proportion, and performing visual conversion on the distributed target area.
In one example of the technical solution of the present invention:
step 1: and selecting a specific small area range, and calculating the total carbon sink amount of the vegetation in the area by combining the continuous ecological system data of the area for years.
In the embodiment of the present application, the target area is a city area in a certain county in east China, the area is about 590 square kilometers, and the area is about one fourth of a grid with a resolution of 50 kilometers.
In the embodiment of the application, based on the second method in the invention content, the forest carbon sink amount of the area in 2019 is calculated 2016 according to the forest standing tree accumulation amount, the forest area and other data of the area, and is shown in table 1.
TABLE 1 carbon sink Capacity of forest in certain area
And 2, step: and acquiring high-resolution land use type and biomass remote sensing data of the region.
In the embodiment of the application, the remote sensing data of the forest biomass with the resolution of 100 meters in 2010 (shown in figure 2) and the land utilization type map with the resolution of 10 meters in 2020 (shown in figure 3) are selected to be enough to finely show the ground feature condition of the area.
To distinguish biomass data corresponding to different types of vegetation, a forest biomass map and a land cover map need to be overlapped. But because the resolution ratios of the two are not consistent, the forest biomass map is subjected to nearest neighbor resampling to obtain a map with the resolution ratio consistent with the land coverage. And further extracting biomass data under all forest grids.
And step 3: and establishing a tree growth curve in the area.
In the embodiment of the application, 4 forest types of the grid where the area is located and vegetation carbon density data in 100 years are obtained by running the dynamic vegetation model in a steady state. Table 2 shows the vegetation carbon density data for 4 forest types, 7 time nodes. The total vegetation carbon density of all types of forests per year is converted into biomass according to a coefficient of 0.45, and then parameters are fitted according to the formula by using forest biomass and forest age data, the formula of the fitted growth curve is shown as follows, and the growth curve is shown in figure 4.
AGB=115.81×(1-e^((-age/35.33)))；
TABLE 2 carbon density of forest in different growth periods in a certain area
And 4, step 4: and calculating the carbon sink quantity of all grid forests in a certain area.
After the high-resolution biomass data and the land utilization type data are unified into 10 m resolution, determining the coordinate position of each grid of a forest, a farmland, a grassland and the like according to the land coverage type. Because the growth curve is only suitable for forest trees, the vegetation growth curve is used for reversely deducing the forest age corresponding to the forest biomass of each grid, then the forest biomass of the previous year is calculated, and the forest carbon sink amount of each grid is estimated by using the difference of the forest biomass of two years.
And 5: carbon sink spatialization.
In the embodiment of the application, the carbon collection amount of the area in 2017 and 2018 is distributed to each grid according to the grid forest carbon collection ratio calculated in the step 4, so that the forest carbon collection is spatialized. Carbon sink is set to zero for non-vegetation grid points such as bare land in the construction land. The spatial maps of the forest carbon sinks in the areas 2018 and 2019 are respectively shown in fig. 5 and 6.
In a preferred embodiment of the present invention, the step of determining the total carbon sink of the vegetation in the area includes:
acquiring carbon sink quantities of different types of vegetation in all spatial grids of a target area based on a trained dynamic vegetation model;
and then, calculating corresponding total carbon sink amount according to the area of each vegetation type in the target area, and calculating the total carbon sink amount of the target area.
In a preferred embodiment of the present invention, the step of determining the total carbon sink of the vegetation in the area includes:
acquiring forest resource statistical data, and inputting the forest resource statistical data into a preset calculation formula to obtain total carbon sink amount;
the calculation formula is as follows:
Carbon_sink=C_stock×ρ_wood×k_convert×R_carbon×44/12；
wherein, Carbon _ sink is the Carbon sink of the forest; c _ stock is the amount of change of the forest living standing wood accumulation for two consecutive years; rho _ wood is the average wood density of the standing tree; k _ convert is a biomass conversion coefficient; r _ carbon is biomass carbon content; 44/12 refers to the CO2/C ratio.
The above provides a method for calculating the total carbon sink of vegetation in a target area, and there are two methods in total:
the method comprises the following steps: and (3) dynamic vegetation model simulation can obtain the carbon sequestration of different types of vegetation in all spatial grids of the target area, and then the corresponding total carbon sequestration is calculated according to the area of each vegetation type of the target area, so that the total carbon sequestration of the target area is calculated.
The second method comprises the following steps: and calculating the total forest carbon sink amount of the target area according to the following formula through forest resource statistical data such as the live stumpage accumulation amount.
As a preferred embodiment of the technical solution of the present invention, the fitting curve is:
BM=BM_eq×(1-e^((-age/τ)))；
wherein, BM is vegetation biomass; BM _ eq is the vegetation biomass density in an equilibrium state; age is the forest age; tau is the recovery time of vegetation biomass density in equilibrium.
As a preferred embodiment of the technical solution of the present invention, the step of calculating the carbon sink amount of the forest area based on the growth curve includes:
acquiring the current-year vegetation biomass bm1 of each forest grid from the vegetation biomass data of the target area;
determining a tree age1 based on the growth curve;
calculating biomass bm0 corresponding to the forest age0 of the trees in the previous year based on the growth curve;
and calculating the difference value of bm1 and bm0, and estimating the forest carbon sink amount of each forest grid in the current year.
It is worth mentioning that, for the step S500, namely the space visualization process of vegetation carbon sink:
most of the forest situations are carbon sinks every year, and the carbon sink spatialization is to distribute the total carbon sink amount of a target area to forest grids according to the carbon sink proportion in each space grid. But in a small part of regions, forests can be carbon sources due to cutting, natural disasters and other factors, and in this case, the total carbon emission is distributed to each forest lattice point according to the biomass proportion of each grid vegetation. For farmlands and grasslands, the total carbon sink/carbon source amount is allocated to the corresponding space grids in equal proportion. In the construction land, the carbon sink amount of the non-vegetation ground surface such as bare land is set to be zero, and further the carbon sink visualization of the target area is realized.
Example 2
In an embodiment of the invention, a system for visualizing carbon sink of fine regional vegetation comprises:
the total amount calculation module is used for selecting a target area, acquiring historical ecosystem data of the area and determining the total carbon sink amount of vegetation in the area;
the type determining module is used for acquiring the land utilization type remote sensing data and the biomass remote sensing data of the target area and extracting the land utilization type of the target area based on the land utilization type remote sensing data and the biomass remote sensing data; wherein the land use types include forests, lawns, and farmlands;
the curve generation module is used for determining a forest area based on the land utilization type and establishing a growth curve of the forest area based on a preset fitting curve; the growth curve is a curve relation between vegetation biomass and forest age;
the subregion calculation module is used for calculating the carbon sink amount of the forest regions based on the growth curve and determining the carbon sink proportion of different forest regions;
and the distribution display module is used for distributing the total carbon sink amount to different sub-areas of the target area based on the carbon sink proportion and performing visual conversion on the distributed target area.
Further, the sub-region calculation module includes:
a first obtaining unit, which is used for obtaining the annual vegetation biomass bm1 of each forest grid from the vegetation biomass data of the target area;
a first calculation unit for determining the tree age1 based on the growth curve;
the second calculating unit is used for calculating biomass bm0 corresponding to the forest age0 of the tree in the previous year based on the growth curve;
and the difference value calculating unit is used for calculating the difference value between bm1 and bm0 and estimating the current-year forest carbon sink amount of each forest grid.
The functions that can be performed by the method for fine area vegetation carbon sink visualization are performed by a computer device comprising one or more processors and one or more memories, wherein at least one program code is stored in the one or more memories and loaded into and executed by the one or more processors to perform the functions of the method for fine area vegetation carbon sink visualization.
The processor fetches instructions and analyzes the instructions one by one from the memory, then completes corresponding operations according to the instruction requirements, generates a series of control commands, enables all parts of the computer to automatically, continuously and coordinately act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) for storing a computer program, and a protection device is arranged outside the Memory.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.
Those skilled in the art will appreciate that the above description of the service device is merely exemplary and not limiting of the terminal device, and may include more or less components than those described, or combine certain components, or different components, such as may include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal equipment and connects the various parts of the entire user terminal using various interfaces and lines.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the terminal device by operating or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory mainly comprises a storage program area and a storage data area, wherein the storage program area can store an operating system, application programs (such as an information acquisition template display function, a product information publishing function and the like) required by at least one function and the like; the storage data area may store data created according to the use of the berth-state display system (e.g., product information acquisition templates corresponding to different product types, product information that needs to be issued by different product providers, etc.), and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The terminal device integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the modules/units in the system according to the above embodiment may be implemented by a computer program, which may be stored in a computer-readable storage medium and used by a processor to implement the functions of the embodiments of the system. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (7)
1. A method for visualizing carbon sink of fine regional vegetation, the method comprising:
selecting a target area, acquiring historical ecosystem data of the area, and determining the total carbon sink amount of vegetation in the area;
obtaining land utilization type remote sensing data and biomass remote sensing data of the target area, and extracting the land utilization type of the target area based on the land utilization type remote sensing data and the biomass remote sensing data; wherein the land use types include forests, lawns, and farmlands;
determining a forest area based on the land utilization type, and establishing a growth curve of the forest area based on a preset fitting curve; the growth curve is a curve relation between vegetation biomass and forest age;
calculating the carbon sink amount of the forest region based on the growth curve, and determining the carbon sink proportion of different forest regions;
and distributing the total carbon sink amount to different sub-areas of a target area based on the carbon sink proportion, and performing visual conversion on the distributed target area.
2. The method of claim 1, wherein the step of determining the total carbon sink for the area of vegetation comprises:
acquiring carbon sink quantities of different types of vegetation in all spatial grids of a target area based on a trained dynamic vegetation model;
and then, calculating corresponding total carbon sink amount according to the area of each vegetation type in the target area, and calculating the total carbon sink amount of the target area.
3. The method of claim 1, wherein the step of determining the total carbon sink for the area of vegetation comprises:
acquiring forest resource statistical data, and inputting the forest resource statistical data into a preset calculation formula to obtain total carbon sink amount;
the calculation formula is as follows:
Carbon_sink=C_stock×ρ_wood×k_convert×R_carbon×44/12；
wherein, Carbon _ sink is the Carbon sink of the forest; c _ stock is the amount of change of the forest living standing wood accumulation for two consecutive years; rho _ wood is the average wood density of the standing tree; k _ convert is a biological conversion coefficient; r _ carbon is biomass carbon content; 44/12 refers to the CO2/C ratio. .
4. The method of visualizing carbon sink for fine area vegetation according to claim 2 or 3, wherein said fitted curve is:
BM=BM_eq×(1-e^((-age/τ)))
wherein, BM is vegetation biomass; BM _ eq is the vegetation biomass density in an equilibrium state; age is the forest age; tau is the recovery time of vegetation biomass density in equilibrium.
5. The method of claim 1, wherein the step of calculating the amount of carbon sequestration for the forest area based on the growth curve comprises:
acquiring the current-year vegetation biomass bm1 of each forest grid from the vegetation biomass data of the target area;
determining a tree age1 based on the growth curve;
calculating biomass bm0 corresponding to the forest age0 of the trees in the previous year based on the growth curve;
and calculating the difference value of bm1 and bm0, and estimating the forest carbon sink amount of each forest grid in the current year.
6. A system for visualizing fine area vegetation carbon sink, the system comprising:
the total amount calculation module is used for selecting a target area, acquiring historical ecosystem data of the area and determining the total carbon sink amount of vegetation in the area;
the type determining module is used for acquiring the land utilization type remote sensing data and the biomass remote sensing data of the target area and extracting the land utilization type of the target area based on the land utilization type remote sensing data and the biomass remote sensing data; wherein the land use types include forests, lawns, and farmlands;
the curve generation module is used for determining a forest area based on the land utilization type and establishing a growth curve of the forest area based on a preset fitting curve; the growth curve is a curve relation between vegetation biomass and forest age;
the subregion calculation module is used for calculating the carbon sink amount of the forest regions based on the growth curve and determining the carbon sink proportion of different forest regions;
and the distribution display module is used for distributing the total carbon sink amount to different sub-areas of the target area based on the carbon sink proportion and performing visual conversion on the distributed target area.
7. The fine area vegetation carbon sink visualization system of claim 6 wherein the sub-area calculation module comprises:
a first obtaining unit, which is used for obtaining the annual vegetation biomass bm1 of each forest grid from the vegetation biomass data of the target area;
a first calculation unit for determining the tree age1 based on the growth curve;
the second calculating unit is used for calculating biomass bm0 corresponding to the forest age0 of the tree in the previous year based on the growth curve;
and the difference value calculating unit is used for calculating the difference value between bm1 and bm0 and estimating the current-year forest carbon sink amount of each forest grid.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115712995A (en) * | 2022-11-08 | 2023-02-24 | 福智生(北京)科技有限公司 | Method, device and equipment for calculating carbon sink of artificial forest and storage medium |
| CN115936953A (en) * | 2023-01-06 | 2023-04-07 | 深圳润澄金景科技服务有限公司 | Carbon sink calculation method, electronic device and storage medium |
| CN115995048A (en) * | 2023-03-23 | 2023-04-21 | 山东省海洋资源与环境研究院(山东省海洋环境监测中心、山东省水产品质量检验中心) | Remote sensing measurement and calculation method, device and equipment for sea weed bed carbon fixation amount |
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| CN117151921A (en) * | 2023-10-30 | 2023-12-01 | 四川生工创新科学研究有限公司成都分公司 | Metering system and method for carbon sink of planting agriculture |
| CN117235434A (en) * | 2023-11-15 | 2023-12-15 | 人工智能与数字经济广东省实验室(深圳) | Forestry carbon sink project baseline construction method, system, terminal and medium |
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| US11921097B2 (en) * | 2022-07-13 | 2024-03-05 | Sichuan Provincial Institute of Forestry and Grassland Inventory and Planning | Method for dynamic measurement of individual tree carbon sink |
| CN115712995A (en) * | 2022-11-08 | 2023-02-24 | 福智生(北京)科技有限公司 | Method, device and equipment for calculating carbon sink of artificial forest and storage medium |
| CN115712995B (en) * | 2022-11-08 | 2023-07-07 | 福智生(北京)科技有限公司 | Method, device, equipment and storage medium for calculating artificial forest carbon sink |
| CN115936953A (en) * | 2023-01-06 | 2023-04-07 | 深圳润澄金景科技服务有限公司 | Carbon sink calculation method, electronic device and storage medium |
| CN115995048A (en) * | 2023-03-23 | 2023-04-21 | 山东省海洋资源与环境研究院(山东省海洋环境监测中心、山东省水产品质量检验中心) | Remote sensing measurement and calculation method, device and equipment for sea weed bed carbon fixation amount |
| CN116342353A (en) * | 2023-05-26 | 2023-06-27 | 红杉天枰科技集团有限公司 | Method and system for realizing economic forest carbon sink analysis based on deep learning |
| CN116342353B (en) * | 2023-05-26 | 2023-08-25 | 红杉天枰科技集团有限公司 | Method and system for realizing economic forest carbon sink analysis based on deep learning |
| CN117151921A (en) * | 2023-10-30 | 2023-12-01 | 四川生工创新科学研究有限公司成都分公司 | Metering system and method for carbon sink of planting agriculture |
| CN117151921B (en) * | 2023-10-30 | 2024-01-23 | 四川生工创新科学研究有限公司成都分公司 | Metering system and method for carbon sink of planting agriculture |
| CN117235434A (en) * | 2023-11-15 | 2023-12-15 | 人工智能与数字经济广东省实验室(深圳) | Forestry carbon sink project baseline construction method, system, terminal and medium |
| CN117235434B (en) * | 2023-11-15 | 2024-03-19 | 人工智能与数字经济广东省实验室(深圳) | Forestry carbon sink project baseline construction method, system, terminal and medium |
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