An uninhabited island island-land ecological product value correction method and system

Abstract

The application discloses a kind of uninhabited island island land ecological product value correction method and system, it is related to ecological product value accounting field, specific steps are as follows: obtain the geographic information data and ecological environment information data of target area;Based on the geographic information data and the ecological environment information data, index characteristic extraction is carried out using the pre-constructed three-level correction parameter system;According to the index characteristics extracted, obtain correction coefficient by layer-by-layer calculation;The reference value of ecological product is corrected using the correction coefficient, and the value of the ecological product of the uninhabited island to be evaluated island land is obtained.The correction coefficient determined by the application can effectively optimize the accounting result of the ecological product value of the uninhabited island island land, improve the accuracy of accounting, and provide a solid technical support and decision support for the realization of the ecological product value of the uninhabited island and the construction of marine ecological civilization.

Description

Technical Field

[0001] This application relates to the field of ecological product valuation, and in particular to a method and system for correcting the value of ecological products on uninhabited islands and terrestrial islands. Background Technology

[0002] Uninhabited islands, as unique natural resource assets, possess unique ecosystem service functions and potential development and utilization value. With the deepening of ecological civilization construction, the accounting of the ecological product value of uninhabited islands has become an important foundation for the scientific management and paid-use system of islands. Currently, there is a lack of a technical system specifically adapted to the unique characteristics of uninhabited island ecosystems for ecological product value accounting. Although existing relevant marine industry standards have introduced value correction factors and coefficients, the correction models and parameter standardization methods they employ are significantly insufficient in terms of scientific rigor and accuracy, making it difficult to accurately reflect the true ecological value of uninhabited islands.

[0003] Currently, the main standard documents concerning the valuation of uninhabited islands include the "Procedure for Valuation of Use Prices of Uninhabited Islands" (HY / T 0326-2022) and the "Technical Guidelines for Ecological Assessment of Development and Utilization of Uninhabited Islands" (draft for comments). These standard documents use value correction coefficients to adjust the benchmark value, aiming to reflect the value differences arising from variations in resource endowments among different islands. However, existing technologies have the following three shortcomings in terms of correction model construction and parameter standardization: First, the correction model is not entirely scientific, and its ecological value is easily diluted. Current standards (such as Tables B.1 and B.2 of HY / T 0326-2022 and Appendix B of the draft for comments) mostly adopt linear additive models, placing ecological factors (such as vegetation coverage, rare and endangered species, and freshwater resources), resource factors (such as beach resources and natural coastlines), and location factors (such as distance from the shore and island area) at the same level for simple algebraic summation. This fails to effectively distinguish the different contributions of factors at different levels to the ecological value of islands. As a result, the contribution of core ecological function indicators (such as vegetation coverage) that determine the quality of island ecological background is easily diluted by other parameters such as distance from the shore and island area. The calculation of the correction coefficient lacks scientific basis and fails to fully reflect the management goal of "ecological protection as the main focus and development and utilization as a supplement" for uninhabited islands.

[0004] Second, the parameter standardization methods are simplistic, highly subjective, and lack precision. Existing technologies heavily rely on empirical grading and scoring to determine correction coefficients (e.g., in Table B.2 of HY / T 0326-2022, vegetation cover is assigned values ​​of 0, 0.5, 1, 1.5, and 2 for four threshold ranges: 0, 0-25%, 25-50%, 50-75%, and above 75%, respectively). Such methods are not only influenced by the assessor's subjective judgment, resulting in poor objectivity and repeatability, but the fixed grading thresholds also mask the continuous variations within the parameters—for example, classifying 24% and 1% vegetation cover into the same level when the difference in their ecosystem service functions should not be ignored. Grading and scoring methods lead to a loss of assessment accuracy and are ill-suited to the realities of uninhabited islands with vast sea areas, complex types, and significant differences in ecological endowments.

[0005] Third, there is a lack of verification and dynamic updating mechanisms. Current technologies generally lack scientific verification of the correction coefficient calculation results, as well as updating mechanisms to adapt to the dynamic changes in island ecosystems. Uninhabited island ecosystems are subject to continuous natural succession and human intervention, with significant temporal dynamics in seasonal changes in vegetation cover, freshwater resource abundance and scarcity cycles, and population fluctuations of rare and endangered species. However, current standards neither establish error verification procedures for comparison with ground-measured data or remote sensing inversion data, nor do they establish technical pathways and triggering conditions for periodically updating correction coefficients according to changes in island ecological conditions. This results in the inability to guarantee the accuracy and timeliness of the correction coefficients, making it difficult to reflect value changes caused by natural succession or human intervention, further reducing the scientific rigor and credibility of the accounting work.

[0006] Therefore, how to eliminate the systematic bias between the general assessment model and the actual situation of uninhabited islands, and accurately reflect the true value of the island-land ecological products of uninhabited islands, is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0007] The purpose of this application is to provide a method and system for correcting the value of ecological products of uninhabited islands and islands, in order to solve the problems of low accuracy, unreasonable models, single standardization method and lack of verification and update mechanism in existing technologies.

[0008] To achieve the above objectives, this application provides the following technical solution: Firstly, this application provides a method for adjusting the value of ecological products on uninhabited islands and terrestrial islands, the specific steps of which are as follows: Acquire geographic and ecological environment information data for the target area; Based on the geographic information data and the ecological environment information data, indicator features are extracted using a pre-constructed three-level correction parameter system; The correction coefficient is obtained by performing layer-by-layer calculations based on the extracted indicator characteristics. The benchmark value of the ecological product is corrected using the aforementioned correction coefficient to obtain the value of the uninhabited island's ecological product to be evaluated.

[0009] Optionally, the three-level correction parameter system is divided into a target layer, primary parameters, and secondary parameters; The target layer is the correction coefficient for the value of ecological products of uninhabited islands and islands; The primary parameters include ecological resource condition factors, island resource condition factors, and location resource condition factors. The secondary parameter is a quantifiable parameter corresponding to the primary parameter.

[0010] Optionally, the secondary parameters include: The vegetation coverage and natural shoreline retention rate corresponding to the aforementioned ecological resource condition factors; The island area and coastline length corresponding to the aforementioned island resource condition factors; Offshore distance factor and transportation conditions corresponding to the location resource condition factor.

[0011] Optionally, the layer-by-layer calculation based on the extracted indicator features includes: calculating the first-level parameters based on the second-level parameters, specifically as follows: Based on the standardized values ​​of the vegetation coverage and the natural shoreline retention rate, the ecological resource condition factors are solved using a geometric mean model. Based on the standardized values ​​of the island area and the coastline length, a weighted summation model is used to solve for the island resource condition factors. Based on the standardized values ​​of the offshore distance factor and the standardized values ​​of the transportation conditions, the location resource condition factor is solved using a multiplicative model.

[0012] Optionally, the step-by-step calculation based on the extracted indicator features further includes: calculating the correction coefficient based on the first-level parameters according to a preset hierarchical weighting rule.

[0013] Optionally, before correcting the benchmark value of ecological products using the correction coefficient, a correction coefficient verification is also included, with the following specific steps: The rationality of the correction coefficient is verified by horizontal verification and / or vertical verification and / or expert verification; if the verification finds a deviation, the correction coefficient is optimized and adjusted.

[0014] Optionally, the steps for obtaining the standardized values ​​of each secondary parameter are as follows: The vegetation coverage, natural coastline retention rate, island area, and coastline length are standardized using the range normalization method to obtain the corresponding standardized values. The offshore distance factor and the traffic conditions are standardized using a localized hierarchical assignment method to obtain the corresponding standardized values.

[0015] Secondly, this application provides a system for adjusting the value of uninhabited island and island-land ecological products, including: The data acquisition module is used to acquire geographic information data and ecological environment information data of the target area; The feature extraction module is used to extract indicator features based on the geographic information data and the ecological environment information data using a pre-constructed three-level correction parameter system. The correction coefficient calculation module is used to perform layer-by-layer calculations based on the extracted indicator features to obtain the correction coefficient. The ecological product value correction module is used to correct the benchmark value of the ecological product using the correction coefficient to obtain the ecological product value of the uninhabited island to be evaluated.

[0016] According to the specific embodiments provided in this application, this application has the following technical effects: 1. This invention constructs a three-level correction system of "target layer - primary parameters - secondary parameters," scientifically selecting three primary parameters covering ecological resource conditions, island resource conditions, and locational resource conditions. These are further refined into six quantifiable secondary single-factor parameters: vegetation coverage, natural coastline retention rate, island area, coastline length, offshore distance factor, and transportation conditions. This system comprehensively covers the core factors affecting the value of the ecological products of uninhabited islands, especially highlighting the core ecological value represented by vegetation coverage and natural coastline retention rate. It solves the problems of incomplete parameter systems, lack of specificity, and inability to fully adapt to the unique ecological characteristics of uninhabited islands in existing technologies, filling a technological gap in this field.

[0017] 2. This invention adopts a differentiated and refined parameter standardization processing method, breaking away from the single and extensive standardization approach in the existing technology. It designs targeted standardization processing strategies for different types of secondary parameters. For proportional parameters such as vegetation cover and natural coastline retention, and physical quantity parameters such as island area and coastline length, a range normalization method is introduced for continuous standardization. This method transforms the original data into a uniform continuous interval, eliminating the subjective arbitrariness of manual classification, fully preserving the original continuous gradient information of the parameters, improving the objectivity and accuracy of the calculation, and flexibly adapting to datasets of different regions and types of islands, demonstrating good applicability and scalability.

[0018] For qualitative descriptive parameters such as offshore distance and transportation conditions, a localized grading and value assignment standard was established. This method, combined with the geographical distribution characteristics and current transportation status of uninhabited islands, sets more refined transition intervals and clear grading criteria, which can accurately quantify the value reduction or gain effects caused by differences in ecological isolation or human disturbance intensity, thus solving the problems of poor localization adaptability and coarse value assignment in existing methods.

[0019] 3. This invention establishes a hierarchical weighting rule of "ecological resource condition parameters > island resource condition parameters > location resource condition parameters," and designs a composite calculation model combining multiplication and addition based on this. This model first reflects the "weakest link effect" of core ecological indicators through geometric mean, then weights and superimposes the island resource baseline and locational influence, ultimately anchoring the overall value benchmark to ecological condition factors. This design is logically rigorous, perfectly aligning with the management goal of "ecological protection first" for uninhabited islands, effectively avoiding the dilution of ecological value in existing linear addition models, and ensuring the scientific validity and accuracy of the correction coefficient calculation results.

[0020] 4. This invention establishes a standardized and operable complete technical process, designing a five-step standardized process including "preliminary preparation - data collection - parameter standardization - correction coefficient calculation - result verification and optimization". This process clarifies the operation methods and data requirements for each step, provides clear quantification methods for indicators, and uses data acquisition methods (such as remote sensing image interpretation, GIS analysis, and field surveys) that are tailored to the realities of uninhabited islands. It requires no complex equipment or technology, making it easy for relevant technical personnel to quickly master and implement, greatly improving the operability and scalability of the method, and making it applicable to uninhabited islands of different types and development levels.

[0021] 5. This invention explicitly requires the selection of typical islands for verification. By comparing the deviations between the results before and after correction and the actual ecological product value, the weights and parameters are optimized to ensure the adaptability and accuracy of the method in specific application scenarios. Simultaneously, a dynamic mechanism is established to re-collect data and update the correction coefficients every two years, enabling the value accounting to respond promptly to the dynamic changes in the uninhabited island ecosystem, ensuring the timeliness and continuous scientific validity of the accounting results.

[0022] 6. The correction coefficients determined by this invention can effectively optimize the accounting results of the ecological product value of uninhabited islands and improve the accuracy of the accounting. The results can directly serve multiple key areas such as the formulation of ecological protection plans for uninhabited islands, the orderly development and utilization of resources and assets, the establishment of ecological compensation standards, and the assessment of natural resource damage, providing solid technical support and decision-making support for the realization of the ecological product value of uninhabited islands and the construction of marine ecological civilization. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 A flowchart illustrating a method for adjusting the value of uninhabited island and island-land ecological products provided in an embodiment of this application; Figure 2 A flowchart illustrating a method for determining the correction coefficient of the ecological product value of an uninhabited island provided in an embodiment of this application; Figure 3 A block diagram of a system for adjusting the value of uninhabited island and island-land ecological products provided in an embodiment of this application. Detailed Implementation

[0025] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0026] This embodiment discloses, on the one hand, a method for adjusting the value of ecological products on uninhabited islands and terrestrial islands, such as... Figure 1 As shown, the specific steps are as follows: S1. Obtain geographic information data and ecological environment information data of the target area; S2. Based on geographic information data and ecological environment information data, extract indicator features using a pre-constructed three-level correction parameter system; S3. Perform layer-by-layer calculations based on the extracted indicator characteristics to obtain the correction coefficient; S4. The benchmark value of the ecological product is corrected using the correction coefficient to obtain the value of the uninhabited island and land ecological product to be evaluated.

[0027] In one embodiment, the three-level correction parameter system is divided into a target layer, primary parameters, and secondary parameters; The target layer is the correction coefficient for the value of uninhabited island and island-land ecological products; The primary parameters include ecological resource condition factors, island resource condition factors, and location resource condition factors; Secondary parameters are quantifiable parameters corresponding to primary parameters.

[0028] In one embodiment, the secondary parameters include: Vegetation coverage and natural shoreline retention rate corresponding to ecological resource condition factors; Island area and coastline length corresponding to island resource condition factors; Offshore distance factors and transportation conditions corresponding to location resource conditions factors.

[0029] Furthermore, the construction steps of the three-level correction parameter system are as follows: The target layer is determined as the correction coefficient for the ecological product value of uninhabited islands and their surrounding land; the primary parameters are determined, including ecological resource condition factors. Island resource conditions factors and location resource conditions factors ; Determine the quantifiable secondary parameters corresponding to each primary parameter, including ecological resource condition factors. The corresponding secondary parameters include vegetation cover (V) and natural coastline retention rate (N); island resource condition factors. The corresponding secondary parameters include island area A and coastline length S; location resource condition factors. The corresponding secondary parameters include the offshore distance factor. And traffic conditions T.

[0030] In one embodiment, the step of obtaining the standardized value is as follows: The range normalization method was used to standardize the vegetation coverage, natural coastline retention rate, island area and coastline length respectively, and the corresponding standardized values ​​were obtained. The offshore distance factor and traffic conditions were standardized using a localized hierarchical assignment method to obtain the corresponding standardized values.

[0031] Furthermore, the specific steps for standardizing the secondary parameters are as follows: Secondary parameters were classified, and standardized values ​​were obtained using targeted standardization methods. Specifically, vegetation cover (V), natural coastline retention rate (N), island area (A), and coastline length (S) were standardized using range normalization. Offshore distance factors were also standardized. Traffic conditions T are standardized using a localized hierarchical assignment method.

[0032] Furthermore, the formula for the range normalization method is: =0.5+ (1); In the formula, X represents the standardized values ​​of island area A, coastline length S, vegetation coverage V, or natural coastline retention rate N; X represents the original values ​​of island area A, coastline length S, vegetation coverage V, or natural coastline retention rate N. It is the minimum value of island area A, coastline length S, vegetation coverage V, or natural coastline retention rate N; It represents the maximum value of island area A, coastline length S, vegetation coverage V, or natural coastline retention rate N.

[0033] In one embodiment, offshore distance factor The method involves fitting a regression model based on historical measured data from the region. The specific steps include: Historical sample data from the past 5-10 years were collected for the study area (i.e. the target area). The sample data included measured offshore distance data for the entire region, on-site transaction value of ecological products, and benchmark value of ecological products. A dataset of offshore distance independent variable and value deviation dependent variable was constructed. Using offshore distance as the independent variable and the difference between the benchmark value of ecological products and the actual transaction value as the dependent variable, a multivariate nonlinear regression model was constructed, and the optimal scoring fitting curve of offshore distance-correction factor was obtained. Based on the optimal scoring fitting curve, five levels of offshore distance intervals are defined, and the corresponding optimal factor values ​​are automatically matched: for offshore distances D < 2km, the offshore distance factor is matched within the interval. =0.9; 2km≤D<5km, interval matching offshore distance factor =0.95; 5km≤D<10km, interval matching offshore distance factor =1.0; 10km≤D≤30km, interval matching offshore distance factor =1.2; D>30km, interval matching offshore distance factor =1.4; the factor value is the objective value that best fits the model, excluding subjective human intervention.

[0034] In one embodiment, the traffic condition factor T is obtained by fitting a regression based on the regional historical accounting dataset, and the specific determination steps include: Historical sample data of the study area over the past 5-10 years were collected. The sample data included road network density, distance to highway entrances and exits, overall traffic accessibility level, on-site transaction value of ecological products, and benchmark value of ecological products. A dataset of traffic independent variable and value deviation dependent variable was constructed. Using traffic accessibility level as the independent variable and the difference between the benchmark value of ecological products and the actual transaction value as the dependent variable, a multivariate nonlinear regression model was constructed, and the optimal score fitting curve of traffic conditions-correction coefficient was obtained. Based on the optimal scoring fitting curve, four levels of traffic accessibility are divided into intervals, and the corresponding optimal correction coefficients are automatically matched: Level 1 (i.e., extremely convenient), interval matching T=0.9; Level 2 (i.e., convenient), interval matching T=1.0; Level 3 (i.e., average), interval matching T=1.2; Level 4 (i.e., difficult), interval matching T=1.4; the coefficient values ​​are taken as the optimal objective values ​​of the model fitting, eliminating the intervention of human subjective assignment.

[0035] In one embodiment, the step-by-step calculation based on the extracted index features includes: calculating the primary parameters based on the secondary parameters, specifically as follows: Based on the standardized values ​​of vegetation cover and natural shoreline retention, the geometric mean model is used to solve for the ecological resource condition factors. Based on the standardized values ​​of island area and coastline length, a weighted summation model is used to solve for island resource condition factors. Based on the standardized values ​​of offshore distance factor and traffic conditions, a multiplicative model is used to solve for the location resource condition factor.

[0036] Furthermore, based on the standardized values ​​of each secondary parameter, the values ​​of each primary parameter are calculated separately, as follows: The calculation expression for ecological resource condition factors is as follows: (2); The formula for calculating island resource condition factors is: (3); The calculation expression for location resource condition factors is as follows: (4); In the formula, , , , These are the standardized values ​​for vegetation coverage, natural coastline retention rate, island area, and coastline length, respectively. This is the standardized value of the offshore distance factor; Standardized values ​​for traffic conditions; This is the island area weighting coefficient; This is the weighting coefficient for shoreline length.

[0037] Furthermore, if the uninhabited island is a perfectly round island, the island area weighting coefficient... Using island area as the basic weighting coefficient Set to 0.6, shoreline length weighting coefficient Using shoreline length as the basic weighting factor The weights were set to 0.4, and the weight assignments were empirically verified using the analytic hierarchy process. The land area of ​​an island determines the overall carrying capacity of the island-land ecosystem and the total amount of vegetation resources, and is a core indicator affecting the island's resource endowment; the coastline length only reflects the richness of the coastal zone's marine-terrestrial interaction habitat, and its impact on the overall supply of ecological products is relatively weak; the consistency ratio (CR) of the judgment matrix for all samples is <0.1, and the weight allocation has both statistical and ecological rationality.

[0038] Furthermore, considering the case of uninhabited islands being irregularly shaped islands, an island adjustment coefficient is introduced. right , Optimize the island adjustment coefficient The calculation formula is: (5); (6); (7); (8); In the formula, This is the island adjustment coefficient; The island shape regularity index; This is the basic weighting coefficient for the island's area; This is the basic weighting coefficient for shoreline length; This refers to the shoreline length. The area of ​​the island; This is the island area weighting coefficient; This is the weighting coefficient for shoreline length.

[0039] If it is a deformed island , Island area weighting coefficient Slight contraction, shoreline length weighting coefficient Simultaneous scaling down weakens the value contribution of simply representing the island's land area; if the island is a regular circular shape, K=1. =0: = 0、 = 0, using the original benchmark weighting coefficient. 0 and 0, no additional corrections.

[0040] In one embodiment, based on a preset hierarchical weighting rule, the correction coefficient for the value of uninhabited island and island-land ecological products is calculated, and the calculation expression is as follows: (9); In the formula, This is a correction factor for the value of ecological products on uninhabited islands and islands. Ecological resource condition factors; For island resource conditions; Locational resource conditions factors; and These are the first-level parameter weight coefficients corresponding to the island resource condition factor and the location resource condition factor, respectively, and they satisfy the following conditions: .

[0041] Furthermore, weighting coefficients , A hierarchical weighting rule is adopted, combined with the requirements of marine ecological management policies. Based on the island's management positioning, ecological protection priority, and development intensity, four types of management units are divided. Pre-set static weights for each level are used; these weight coefficients are fixed preset values ​​and do not change with sample data. This approach is suitable for refined independent evaluation work such as island-specific demonstrations, ecological compensation pricing, and environmental impact assessments for island planning. The hierarchical weighting standard is as follows: Uninhabited islands designated for national-level ecological protection, with ecological protection and habitat maintenance as their core functions, have the highest priority in terms of resource intrinsic value and are assigned the following value: , ; Provincial-level routine management of uninhabited islands, primarily for ecological maintenance, permits only extremely low-intensity and limited human activities. Value assigned: , ; For uninhabited islands that are developed and utilized in a moderately appropriate manner, ecological protection and industrial development should be taken into account in a balanced way. Resource endowment and locational disturbance conditions are equally important. Value assigned: , ; Nearshore tourism support for small, uninhabited islands, leveraging their nearshore location for light tourism development, while still adhering to the core constraints of their ecological foundation, and assigning value as follows: , .

[0042] In one embodiment, the method further includes a dynamic update step for the correction coefficients, the specific steps of which include: According to the preset update cycle, collect the latest field raw data of all secondary parameters of the target uninhabited island, remove abnormal noise data, uniformly complete the data standardization and normalization process, and update the whole domain parameter sample database. The updated parameter sample data is called, the original multivariate nonlinear regression model and fitting algorithm are reused, and the optimal score fitting curves of each evaluation factor are iteratively updated. S3 is executed iteratively, and the global correction coefficients are recalculated and iteratively updated based on the updated fitted curves. This adapts to the dynamic changes in the ecological environment and location conditions of uninhabited islands over time. The coefficients are updated throughout the process based on iterative data modeling, without any subjective human modification of the coefficients.

[0043] In one embodiment, a method for determining the correction coefficient for the value of ecological products is provided. This includes constructing a three-level correction coefficient system, selecting primary and secondary key parameters, employing targeted standardization methods for different parameters, combining hierarchical weighting rules, and determining the correction system for calculating the value of ecological products on uninhabited islands through multi-model comprehensive calculation. The specific steps are as follows: 1) Construction of a three-level system for correction coefficients A three-tiered system of "target layer - primary parameters - secondary parameters" is constructed to comprehensively cover the key factors influencing the value of ecological products of uninhabited islands. Based on the core characteristics of uninhabited islands—isolation, ecological fragility, and unique resources—key parameters affecting the scientific accuracy of ecological product value accounting are selected, and the meaning, scope, and interrelationships of parameters at each level are clarified. The key parameters include three primary parameters: ecological resource condition factors, island resource condition factors, and location resource condition factors. Each primary parameter contains two quantifiable secondary parameters. The specific system is shown in Table 1.

[0044] Table 1. Value Adjustment System for Ecological Products of Uninhabited Islands and Islands

[0045] 2) The values ​​of each primary parameter and their ecological implications For each primary parameter, a value calculation formula was designed to balance scientific rigor and local adaptability. Geometric mean, weighted summation, and multiplication models were used to calculate each primary parameter to ensure comparability between parameters. Details are shown in Table 2.

[0046] Table 2. Calculation table of first-level parameters in the three-level correction parameter system.

[0047] Note: In the table , , , These are the standardized values ​​for vegetation coverage, natural coastline retention rate, island area, and coastline length, respectively. This is the standardized value of the offshore distance factor; These are standardized values ​​for traffic conditions.

[0048] 3) Standardization method for second-order single-factor parameters For different types of second-order single-factor parameters (proportional, physical quantity, and qualitative descriptive), targeted standardization methods are used to obtain standardized values. Specifically: The steps for standardizing proportional and physical quantity parameters (range normalization method) are as follows: Vegetation coverage (V) and natural coastline retention rate (N) are proportional parameters, while island area (A) and coastline length (S) are physical quantity parameters. Both are converted to standardized values ​​using the range normalization method. The conversion formula is shown in equation (1), where, , These are the minimum and maximum values, respectively (the vegetation coverage V and the natural coastline retention rate N adopt their theoretical range, i.e., [0,1]; the range of island area A and coastline length S should be determined based on the actual data distribution of the set of assessment objects).

[0049] The steps for standardizing qualitative descriptive parameters (localized hierarchical assignment method) are as follows: Offshore distance factor Traffic condition T is a qualitative descriptive parameter. Based on the actual distribution characteristics and current traffic accessibility of uninhabited islands, a localized hierarchical assignment method is adopted for standardization. The value range is [0.9, 1.4]. The specific hierarchical assignment standards are shown in Tables 3 and 4.

[0050] Table 3 Offshore Distance Factors Assignment table

[0051] Table 4. Traffic Condition T Value Assignment Table

[0052] 4) Determination of correction coefficient The value correction coefficient system for uninhabited island and island-land ecological products covers three core dimensions: "ecological background, island resources, and locational disturbance." It adopts a hierarchical, coupled, and weighted approach, with the importance of each dimension ranked as follows: ecological resource condition factor > island resource condition factor > locational resource condition factor. The value correction coefficient for uninhabited island and island-land ecological products is comprehensively calculated through hierarchical weighted coupled operations. The specific formula is shown in equation (9).

[0053] As can be seen from the formula, the ecological resource base is the core foundation for determining the value of the ecological products of uninhabited islands. Then, by superimposing the dual regulatory effects of the island's own resource endowment and external location interference conditions through a weighted coupling method, the differentiated impact of different dimensions of factors on the value of island ecological products is reflected in layers. Finally, a comprehensive correction coefficient that takes into account the ecological base, island endowment and location characteristics is obtained, which ensures the scientificity and accuracy of the value accounting of uninhabited island ecological products.

[0054] 5) Verification and optimization of correction coefficients A typical uninhabited island was selected as a verification sample. The correction coefficient was applied to the calculation of the island-land ecological product value of the target island. The calculation results before and after correction were compared with the actual ecological value. The weights of each factor and calculation parameters were adjusted through error analysis to obtain the optimal comprehensive correction coefficient suitable for the target island.

[0055] Dynamic updates of correction coefficients: Every two years, the original data of each secondary parameter of the target island are re-collected and standardized to update the correction coefficients and adapt to the dynamic changes of the uninhabited island ecosystem.

[0056] 6) Complete process for determining correction coefficients This embodiment designs a standardized and operable five-step process to ensure the scientific nature and repeatability of the determination of the correction coefficient. The specific process is shown in Table 5.

[0057] Table 5. Flowchart for Determining Correction Coefficients

[0058] This embodiment provides a method for determining the correction coefficient of the ecological product value of uninhabited islands, taking XY Island, an uninhabited island in HB Province, as the research object. The specific steps are as follows: S1. Preliminary preparation: Based on the survey data of uninhabited islands in HB Province, define the accounting boundary and collect basic information about the island (island list, topographic data, ecological monitoring report).

[0059] Data shows that XY Island is a typical offshore sandbar island in the Bohai Sea, a long and irregularly shaped sandbar island formed by river and sea alluvial deposits, and an uninhabited island with near-shore tourism support functions.

[0060] The island's topography consists of more than ten discontinuous sandbars pieced together to form a long, arc-shaped bowling alley. It is long and narrow from east to west and narrow from north to south, with a total length of 13.5 km from east to west and a width of only 500-1500 m from north to south. It is a typical deformed uninhabited island.

[0061] S2. Data Acquisition: High-resolution satellite imagery interpretation, combined with field sampling surveys, was used to obtain the island's vegetation coverage (V=0.14) and natural coastline retention rate (N=0.46); the island's area (A=20.68 km²) was obtained through drone aerial photography and GIS spatial analysis. 2 The shoreline length (S=26.46km) was measured using a GIS spatial distance measurement tool via a geographic information system, obtaining the offshore distance (D=0.15km). Through on-site surveys and verification by the maritime authorities, XY Island has regular ferry services, classifying its transportation conditions as "convenient." All on-site monitoring data represents 12 consecutive months of dynamic monitoring data to ensure data reliability.

[0062] S3, Parameter Standardization: Proportional / physical quantity parameters: Based on the actual range of similar parameters for uninhabited islands in the province (A: 0.82-20.68km). 2 (S: 3.54-26.46 km), V was calculated using the range normalization method. n =0.64, N n =0.96、A n =1.5, S n =1.5; Qualitative descriptive parameter: Offshore distance D = 0.15 km, obtained from table. =0.9; Transportation conditions are "convenient", according to the table. =1.

[0063] S4. First-level parameter calculation: 1) V n =0.64, N n Substituting 0.96 into equation (2), we obtain the ecological resource condition factor C. E Approximately 0.78; 2) Substituting S=26.46 and A=20.68 into equation (6), the island shape regularity index is obtained. Approximately 1.6414, Substituting into equation (5), the island adjustment coefficient is obtained. It is 0.06414, because , It was determined that it was a typical deformed uninhabited island; Will Substituting into equations (7) and (8) respectively, the island area weighting coefficient is obtained. The shoreline length weighting coefficient is 0.5615. It is 0.4257; Will , A n =1.5, S n Substituting 1.5 into equation (3), we obtain the island resource condition factor. Approximately 1.48; 3) =0.9, Substituting 1 into equation (4), we obtain the location resource condition factor. It is 0.9.

[0064] S5. Calculation of correction factor: The island is designated for tourism and entertainment development, and is a small, uninhabited island serving as a nearshore tourism support area. R =0.6, ω L=0.4. According to formula (9), the correction coefficient for the value of the island's land and island ecological products is 0.9734.

[0065] S6. Result Verification and Optimization: By comparing with similar uninhabited islands in the province in terms of offshore distance and transportation conditions, the correction coefficient is within a reasonable range; combined with the historical ecological data of the island, the correction coefficient matches the ecological status; finally, the correction coefficient for the island-land ecological product value of the target island XY is determined to be 0.9734.

[0066] The correction coefficients determined in this embodiment were applied to the calculation of the island-land ecological product value of the target island XY. The results show that the correction coefficients for the uninhabited island XY are... The value is 0.9734, indicating a relatively large base of island resources. =1.48), but the ecological resources are relatively low ( =0.78), and is affected by near-shore location interference ( =0.9). Its island-land ecological product value was assessed as 97.34% of the benchmark value. The corrected calculation result is very close to the actual ecological value of the island, far lower than the error of existing methods (typically >10%). This indicates that the correction coefficient determined by the method of this invention is highly accurate and can effectively improve the scientific rigor and reliability of the ecological product value calculation for uninhabited islands, providing strong support for the ecological protection and management of uninhabited islands.

[0067] This embodiment also discloses a system for adjusting the value of ecological products on uninhabited islands and terrestrial islands, including: The data acquisition module is used to acquire geographic information data and ecological environment information data of the target area; The feature extraction module is used to extract indicator features based on geographic information data and ecological environment information data, using a pre-constructed three-level correction parameter system. The correction coefficient calculation module is used to perform layer-by-layer calculations based on the extracted indicator features to obtain the correction coefficient. The ecological product value correction module is used to correct the benchmark value of ecological products using correction coefficients to obtain the ecological product value of the uninhabited island to be evaluated.

[0068] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0069] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for adjusting the value of uninhabited island and island-land ecological products, characterized in that, The specific steps are as follows: Acquire geographic and ecological environment information data for the target area; Based on the geographic information data and the ecological environment information data, indicator features are extracted using a pre-constructed three-level correction parameter system; The correction coefficient is obtained by performing layer-by-layer calculations based on the extracted indicator characteristics. The benchmark value of the ecological product is corrected using the aforementioned correction coefficient to obtain the value of the uninhabited island's ecological product to be evaluated.

2. The method for adjusting the value of uninhabited island and island-land ecological products according to claim 1, characterized in that, The three-level correction parameter system is divided into a target layer, primary parameters, and secondary parameters; The target layer is the correction coefficient for the value of ecological products of uninhabited islands and islands; The primary parameters include ecological resource condition factors, island resource condition factors, and location resource condition factors. The secondary parameter is a quantifiable parameter corresponding to the primary parameter.

3. The method for adjusting the value of uninhabited island and island-land ecological products according to claim 2, characterized in that, The secondary parameters include: The vegetation coverage and natural shoreline retention rate corresponding to the aforementioned ecological resource condition factors; The island area and coastline length corresponding to the aforementioned island resource condition factors; Offshore distance factor and transportation conditions corresponding to the location resource condition factor.

4. The method for adjusting the value of uninhabited island and island-land ecological products according to claim 3, characterized in that, The layer-by-layer calculation based on the extracted indicator features includes: calculating the first-level parameters based on the second-level parameters, specifically as follows: Based on the standardized values ​​of the vegetation coverage and the natural shoreline retention rate, the ecological resource condition factors are solved using a geometric mean model. Based on the standardized values ​​of the island area and the coastline length, a weighted summation model is used to solve for the island resource condition factors. Based on the standardized values ​​of the offshore distance factor and the standardized values ​​of the transportation conditions, the location resource condition factor is solved using a multiplicative model.

5. The method for adjusting the value of uninhabited island and island-land ecological products according to claim 2, characterized in that, The layer-by-layer calculation based on the extracted indicator features also includes: calculating the correction coefficient based on the first-level parameters and a preset layer-by-layer weighting rule.

6. The method for adjusting the value of uninhabited island and island-land ecological products according to claim 1, characterized in that, Before using the correction coefficient to correct the benchmark value of ecological products, the correction coefficient verification is also included, and the specific steps are as follows: The rationality of the correction coefficients shall be verified by horizontal verification and / or vertical verification and / or expert verification. If the verification reveals a deviation, the correction coefficient will be optimized and adjusted.

7. The method for adjusting the value of uninhabited island and island-land ecological products according to claim 4, characterized in that, The steps for obtaining the standardized values ​​of each secondary parameter are as follows: The vegetation coverage, natural coastline retention rate, island area, and coastline length are standardized using the range normalization method to obtain the corresponding standardized values. The offshore distance factor and the traffic conditions are standardized using a localized hierarchical assignment method to obtain the corresponding standardized values.

8. A system for adjusting the value of uninhabited island and island-land ecological products, characterized in that, include: The data acquisition module is used to acquire geographic information data and ecological environment information data of the target area; The feature extraction module is used to extract indicator features based on the geographic information data and the ecological environment information data using a pre-constructed three-level correction parameter system. The correction coefficient calculation module is used to perform layer-by-layer calculations based on the extracted indicator features to obtain the correction coefficient. The ecological product value correction module is used to correct the benchmark value of the ecological product using the correction coefficient to obtain the ecological product value of the uninhabited island to be evaluated.

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