Remote sensing monitoring data analysis method and system for island ecological environment

Abstract

The invention discloses a remote sensing monitoring data analysis method and system for an island ecological environment, and relates to the technical field of remote sensing monitoring data analysis. The method comprises the following steps: collecting remote sensing monitoring data of an island, extracting a tourism resource distribution diagram of the island according to the remote sensing monitoring data, and dividing regions according to the tourism resource distribution diagram to obtain a plurality of island regions; extracting human activity data according to the remote sensing monitoring data, and obtaining human activity intensity corresponding to the island area according to the human activity data; acquiring organisms distributed in the island region and recording the organisms as regional organisms, and remotely sensing and monitoring biological information of the regional organisms; analyzing according to the biological information and the human activity intensity to obtain the influence degree of the regional organisms; and obtaining the importance degree of the island area to the island ecological environment, obtaining the environment quality of the island ecological environment by combining the influence degree, and sending the environment quality to the user terminal. According to the invention, the accuracy of remote sensing monitoring data analysis of the island ecological environment is improved.

Description

Technical Field

[0001] The present application relates to the technical field of remote sensing monitoring data analysis, and in particular to a method and system for analyzing remote sensing monitoring data of an island ecological environment. Background Art

[0002] Remote sensing monitoring utilizes remote sensing technology to monitor land cover, the atmosphere, the ocean, and near-surface conditions. An island ecosystem refers to the natural system comprised of biological communities and the surrounding environment within an island. In recent years, environmental protection has become increasingly popular. Due to the unique geographical location of islands, island ecosystems are often evaluated through remote sensing data analysis. Existing remote sensing monitoring of island ecosystems often focuses solely on interference caused by changes in the natural environment, often overlooking other sources of interference. Furthermore, due to the diversity of biodiversity, relying solely on natural environmental changes to analyze and assess island ecosystems is clearly inconsistent with actual conditions, leading to inaccurate analysis of remote sensing monitoring data for island ecosystems. Summary of the Invention

[0003] The purpose of the present invention is to provide a method and system for analyzing remote sensing monitoring data of an island ecological environment to solve the problems raised in the above-mentioned background technology.

[0004] First, the method for analyzing remote sensing monitoring data of island ecological environment provided by this application adopts the following technical solutions:

[0005] Collect remote sensing monitoring data of the island, extract the distribution map of the island's tourism resources based on the remote sensing monitoring data, divide the region according to the tourism resource distribution map, and obtain multiple island regions;

[0006] Extract human activity data based on remote sensing monitoring data, and obtain the human activity intensity corresponding to the island area based on the human activity data;

[0007] Obtain organisms distributed in island areas and record them as regional organisms, and remotely monitor the biological information of regional organisms;

[0008] The degree of impact on regional organisms is determined based on biological information and human activity intensity analysis;

[0009] The importance of the island area to the island ecological environment is obtained, and the environmental quality of the island ecological environment is obtained based on the impact degree and sent to the user terminal.

[0010] Preferably, the steps of collecting remote sensing monitoring data of the island, extracting a tourism resource distribution map of the island based on the remote sensing monitoring data, and dividing the regions based on the tourism resource distribution map to obtain multiple island regions are specifically as follows:

[0011] Collect remote sensing monitoring images of the island, obtain the geomorphic features of the island based on the remote sensing monitoring images, and take areas with continuous and identical geomorphic features as a basic area to obtain multiple basic areas;

[0012] Collect remote sensing monitoring data of the base area and identify traces of human activities based on the remote sensing monitoring data;

[0013] The basic area is divided into continuous human activity area and continuous non-human activity area according to the traces of human activities;

[0014] Continuous human activity areas and continuous non-human activity areas in all basic areas are counted to obtain multiple island areas.

[0015] Preferably, the step of extracting human activity data based on remote sensing monitoring data and obtaining the human activity intensity corresponding to the island area based on the human activity data is specifically as follows:

[0016] Extracting human activity data corresponding to the island area based on remote sensing monitoring data, wherein the human activity data includes population density and number of buildings in the island area;

[0017] Determine whether the number of buildings in the island area is 0. If the number of buildings is not 0, obtain the ratio of the building area of ​​the island area to the area of ​​the island area.

[0018] The ratio of vegetation coverage in built-up areas to vegetation coverage in non-built-up areas in island areas was extracted based on remote sensing monitoring data and recorded as coverage ratio.

[0019] The human activity intensity in the island region is obtained by combining human activity data, area ratio and coverage ratio;

[0020] If the number of buildings is 0, the population characteristics of the active population in the island area are counted, and the human activity intensity is obtained based on the population characteristics.

[0021] Preferably, if the number of buildings is 0, the step of counting the crowd characteristics of the active people in the island area and obtaining the human activity intensity based on the crowd characteristics is specifically as follows:

[0022] Counting the demographic characteristics of people active in the island area, including the rate of garbage disposal and the purpose of their activities;

[0023] Determine whether the purpose of the activity is to hunt island creatures. If the purpose of the activity is to hunt island creatures, then calculate the hunting success rate;

[0024] The intensity of human activities in the island area was obtained based on the hunting success rate, population density and garbage disposal rate;

[0025] If the purpose of the activity is not to hunt island creatures, the activity routes of the active group are obtained and the vegetation coverage rate of the activity routes is calculated;

[0026] The ratio of the vegetation coverage rate of the active route to the vegetation coverage rate of the inactive route in the island area is obtained by comparison and recorded as the vegetation ratio;

[0027] The intensity of human activities in the island area is obtained based on the garbage disposal rate, population density and vegetation ratio.

[0028] Preferably, the step of analyzing the degree of impact on regional organisms based on biological information and human activity intensity is specifically as follows:

[0029] The perception of regional organisms is obtained based on the biological information extraction, and the degree of impact on regional organisms in the island area is obtained based on the perception and recorded as the biological impact;

[0030] The biological impact of all regional organisms in the island area is summed up to obtain the degree of impact on the island area, which is recorded as the regional impact.

[0031] Preferably, the step of extracting the perception of regional organisms based on biological information, and obtaining the degree of impact on regional organisms in the island area based on the perception and recording the degree of impact as biological impact, specifically comprises:

[0032] The perception of regional organisms is obtained based on biological information extraction, and the corresponding human activity intensity is obtained according to the preset perception-human activity intensity table and recorded as the standard intensity;

[0033] The intensity of human activities corresponding to the island area is recorded as the regional intensity, and whether the regional intensity reaches the standard intensity is determined;

[0034] If the regional intensity reaches the standard intensity, the recognition degree of the regional organisms is obtained based on the biological information extraction;

[0035] According to the recognition degree of regional organisms, the degree of impact on regional organisms is analyzed and recorded as the biological impact degree;

[0036] If the regional strength does not reach the standard strength, it is judged that the organisms in the region are not affected and the biological impact degree is 0.

[0037] Preferably, the step of extracting the perception of regional organisms based on biological information is specifically as follows:

[0038] The minimum volume and minimum visual range that can be perceived by organisms in the area are obtained based on biological information extraction;

[0039] The average distance at which organisms in a statistical area perceive the presence of humans;

[0040] The proportional coefficients of the minimum volume, minimum visual range and average distance are set respectively, and the perception of the organisms in the area is obtained according to the proportional coefficients.

[0041] Preferably, the step of extracting the recognition of regional organisms based on biological information is specifically as follows:

[0042] Obtain the learning speed and memory duration of regional organisms based on biological information;

[0043] Obtain activity data of regional organisms and humans when they are active in the same area, and extract the conflict probability between regional organisms and humans based on the activity data;

[0044] Extract the probability of injury to regional organisms during conflicts with humans based on activity data;

[0045] The recognition level of regional organisms is evaluated based on learning speed, memory duration, conflict probability and injury probability.

[0046] Preferably, the step of analyzing the degree of impact on regional organisms based on the recognition of regional organisms and recording the degree of impact as the biological impact is specifically as follows:

[0047] According to the preset human activity intensity-cognition table, the corresponding cognition is obtained as the standard cognition;

[0048] Determine whether the awareness of regional creatures has reached the standard awareness level. If not, obtain the conditions for regional creatures to leave the island.

[0049] Determine whether the organisms in the region have the conditions to leave the island. If the organisms in the region do not have the conditions to leave the island, then count the area on the island that is suitable for the organisms to survive and record it as the survival area.

[0050] According to the preset survival area-biological impact curve, the biological impact is found;

[0051] If the organisms in a region meet the conditions to leave the island, the number of organisms in the region is counted and recorded as the number of organisms. The loss rate of organisms leaving the island is calculated, and the biological impact is obtained by combining the number of organisms and the loss rate.

[0052] If the recognition level of regional organisms reaches the standard recognition level, the degree of change in the living habits of regional organisms is obtained based on the biological information extraction and used as the biological impact.

[0053] Secondly, the island ecological environment remote sensing monitoring data analysis system provided by this application adopts the following technical solutions:

[0054] The remote sensing monitoring data analysis system for island ecological environment includes:

[0055] The island region module collects remote sensing monitoring data of the island, extracts the distribution map of the island's tourism resources based on the remote sensing monitoring data, and divides the region according to the tourism resource distribution map to obtain multiple island regions;

[0056] Activity intensity module, which extracts human activity data based on remote sensing monitoring data and obtains the human activity intensity corresponding to the island area based on the human activity data;

[0057] The biological information module obtains organisms distributed in the island area and records them as regional organisms, and remotely monitors the biological information of regional organisms;

[0058] Impact degree module, which analyzes the degree of impact on regional organisms based on biological information and human activity intensity;

[0059] The environmental quality module obtains the importance of the island area to the island ecological environment, combines the impact degree to obtain the environmental quality of the island ecological environment and sends it to the user terminal.

[0060] In summary, this application includes at least one of the following beneficial technical effects:

[0061] 1. By collecting remote sensing monitoring data from islands, the system divides the islands into multiple regions based on this data and analyzes the corresponding human activity intensity. Combined with biological information from remote sensing monitoring, the system assesses the impact on organisms in different island regions. Finally, based on the importance of each island region to the island's ecological environment, the system calculates the environmental quality of the island's ecological environment and sends it to user terminals. This analysis of human activities through remote sensing monitoring reveals the unnatural impacts of human activities on the island's ecological environment, improving the accuracy of remote sensing monitoring data analysis of the island's ecological environment.

[0062] 2. Based on remote sensing data on population density and building numbers, we analyzed human activity density for both the presence and absence of buildings within the island region. This differentiated analysis yields more accurate data, providing reliable data for subsequent ecological and environmental analysis and assessment, and improving the reliability of remote sensing data analysis of island ecosystems.

[0063] 3. The perceptual abilities of organisms are assessed based on their hearing, vision, and the average distance at which they perceive humans. Their cognitive abilities are assessed through their learning speed, memory duration, and interactions with humans. The degree of impact on these organisms, combined with the intensity of human activity, is then used to determine the environmental quality of the island ecosystem. This approach of analyzing specific issues is more tailored to the biological habits of different organisms and improves the practicality of remote sensing monitoring data analysis of island ecosystems. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1It is a schematic diagram of the specific steps of an embodiment of the method for analyzing remote sensing monitoring data of an island ecological environment of the present invention.

[0065] Figure 2 This is a module connection diagram of an embodiment of the remote sensing monitoring data analysis system for island ecological environment of the present invention. DETAILED DESCRIPTION

[0066] Below is a combination of the embodiments and Figure 1-Figure 2 The present invention will be described in further detail, but the embodiments of the present invention are not limited thereto.

[0067] The present invention discloses a method for analyzing remote sensing monitoring data of an island ecological environment, which specifically comprises the following steps:

[0068] Step S1: collect remote sensing monitoring data of the island, extract a tourism resource distribution map of the island based on the remote sensing monitoring data, divide the area based on the tourism resource distribution map, and obtain multiple island areas.

[0069] Step S2: extracting human activity data based on remote sensing monitoring data, and obtaining the human activity intensity corresponding to the island area based on the human activity data.

[0070] Step S3: Acquire organisms distributed in the island area and record them as regional organisms, and remotely monitor the biological information of the regional organisms.

[0071] Remote sensing is an advanced environmental information acquisition technology. Its rapid and comprehensive ability to acquire simultaneous and dynamic environmental information over large areas is unmatched and unachievable by other monitoring methods. Therefore, remote sensing can be used to monitor relevant biological information about island organisms.

[0072] Step S4: Analyze the biological information and the intensity of human activities to determine the degree of impact on regional organisms.

[0073] Step S5: Obtain the importance of the island area to the island ecological environment, combine the impact degree to obtain the environmental quality of the island ecological environment and send it to the user terminal.

[0074] Different regions within an island vary in their importance to the island's ecological environment. These differences are primarily due to their geographical location, ecological function, and other factors. For example, coral reefs are a crucial component of Hainan Island's marine ecosystem, boasting rich biodiversity. They not only provide habitats for numerous marine organisms but also serve as a vital resource for fisheries. Furthermore, coral reefs effectively protect against wave erosion and safeguard the stability of the coastline. Shallow marine ecosystems, including beaches, estuarine wetlands, and seagrass beds, provide unique habitats and food chains for many marine organisms. For example, shallow estuarine wetlands serve as habitats and breeding grounds for many migratory birds and a breeding ground for numerous fish and crustaceans. The importance of island regions to the island's ecological environment can be determined through user input or public assessment. Weighted ratios are set for importance and impact, and environmental quality is calculated based on these weighted ratios.

[0075] In practice, due to the unique nature of islands, most islands are tourist destinations, which inevitably impacts island life through human activities. This impact stems not only from environmental damage but also from the human activities themselves. For example, while a person might simply stroll on an island without damaging or harming any living creatures, the natural characteristics of the creatures may cause them to avoid humans, disrupting their activities and resting patterns, and thus disturbing the island's overall ecosystem. Different organisms have different characteristics, and therefore experience varying degrees of impact. Determining the degree of impact based on their information and the intensity of human activity in their area is more accurate and aligns more closely with the actual situation, while also leveraging remote sensing data.

[0076] The steps of collecting remote sensing monitoring data of an island, extracting a tourism resource distribution map of the island based on the remote sensing monitoring data, and dividing the regions based on the tourism resource distribution map to obtain multiple island regions are as follows:

[0077] Step S11 , collecting remote sensing monitoring images of the island, obtaining geomorphic features of the island based on the remote sensing monitoring images, and taking areas with continuous and identical geomorphic features as a basic area to obtain multiple basic areas.

[0078] An island may have different landforms, and different organisms may live in different landforms. The initial division of island regions can be made based on landforms. If the landforms are discontinuous, they are not considered as a region.

[0079] Step S12: collecting remote sensing monitoring data of the base area and identifying traces of human activities based on the remote sensing monitoring data.

[0080] Remote sensing monitoring data can be used to identify non-natural objects on islands to identify traces of human activity. For example, a mineral water bottle is a non-natural object, so identifying it can indicate human activity in the area.

[0081] Step S13: dividing the basic area into continuous human activity areas and continuous non-human activity areas according to the human activity traces.

[0082] The human activity area is a range. For example, in the basic area, it is identified that there are traces of human activity in areas A and B, but there are no traces of human activity in the middle area C, then three areas A, B, and C are formed respectively, among which A and B are continuous human activity areas, and C is a continuous non-human activity area. If areas A and B are connected and there is no area C in the middle, then areas A and B are regarded as a continuous human activity area.

[0083] Step S14: Count the continuous human activity areas and continuous non-human activity areas in all basic areas to obtain multiple island areas.

[0084] In practice, because island tourism resources are unevenly distributed, multiple regions can be divided based on human activity. For example, some areas may be undeveloped while others may be developed, and these developed areas may not be adjacent to each other, resulting in varying intensities of human activity. Based on traces of human activity detected by remote sensing, these regions can be divided into multiple regions, facilitating subsequent analysis of remote sensing monitoring data.

[0085] The steps for extracting human activity data based on remote sensing monitoring data and obtaining the human activity intensity corresponding to the island area based on the human activity data are as follows:

[0086] Step S21 : extracting human activity data corresponding to the island area based on remote sensing monitoring data. The human activity data includes the population density and the number of buildings in the island area.

[0087] Optical satellites can directly acquire multispectral imagery with a resolution of up to 0.3 meters. Synthetic aperture radar (Sentinel-1) can penetrate clouds and fog to generate microwave imagery. These can generate visual environmental images such as true-color / false-color composite images, surface temperature heat maps, and vegetation index distribution maps. From these visual environmental images, it is possible to extract the estimated number of people and the corresponding area, thereby calculating population density. Similarly, the number of buildings can be calculated by simply extracting building features. Buildings can then be identified from the visual image based on these features, thereby obtaining a building count.

[0088] Step S22: determine whether the number of buildings in the island area is 0. If the number of buildings is not 0, obtain the area ratio of the building area of ​​the island area to the island area.

[0089] For example, if the island area is 10,000 square meters, of which the building area is 5,000 square meters, the area ratio is 50%.

[0090] Step S23 , extracting the ratio of the vegetation coverage rate in the building area to the vegetation coverage rate in the non-building area in the island area based on the remote sensing monitoring data and recording it as the coverage ratio.

[0091] Building-up areas do not necessarily mean there is no vegetation, but due to the presence of buildings, the vegetation coverage rate will generally change. For example, if the vegetation coverage rate in the building-up area is 20%, while the vegetation coverage rate in the non-building area is 80%, the ratio is 1 / 4.

[0092] Step S24: Combining the human activity data, the area ratio and the coverage ratio to obtain the human activity intensity of the island area.

[0093] Step S25: If the number of buildings is 0, the crowd characteristics of the active people in the island area are counted, and the human activity intensity is obtained based on the crowd characteristics.

[0094] In practice, weighted ratios are set for population density, number of buildings, area ratio, and cover ratio, and human activity intensity is calculated based on these weighted ratios. Human activity intensity refers to the degree of disturbance caused by human activities in a given area. A higher population density indicates a larger population in the island region, thus increasing human activity intensity. Furthermore, a higher number of buildings and a larger area ratio indicate a higher level of development, thus increasing human activity intensity. A lower cover ratio indicates that more vegetation has been lost due to building construction, exacerbating the disturbance to island life and indicating a higher human activity intensity.

[0095] If the number of buildings is 0, the population characteristics of the active population in the island area are counted. The steps to obtain the human activity intensity based on the population characteristics are as follows:

[0096] Step S251 , counting the crowd characteristics of the active crowd in the island area, the crowd characteristics including the garbage discarding rate and the purpose of the activity.

[0097] The activities of people on islands vary. For example, some come for hiking, others for hunting, and still others for vacation. Different demographics also have different characteristics, and the rate of litter disposal varies depending on the demographic. For example, hunters may not care about environmental protection and may discard their trash carelessly. The litter disposal rate can be calculated by calculating the ratio of the amount of litter to the number of people. Deep learning algorithms can be used to identify litter distribution areas and estimate their quantity from visual images. Combined with population density data, the amount of litter can be spatially correlated with the population in the corresponding area using a GIS platform. The litter disposal rate (e.g., tons per thousand people) can be estimated by dividing the total amount of litter by the total population.

[0098] Step S252, determining whether the purpose of the activity is to hunt island creatures; if the purpose of the activity is to hunt island creatures, then calculating the hunting success rate.

[0099] Some people come to hunt island creatures, so the number of island creatures will decrease due to hunting, and the reduction in number will be affected by the success rate of hunting.

[0100] Step S253, obtaining the intensity of human activities in the island area based on the hunting success rate, population density and garbage discarding rate.

[0101] Human activity intensity is calculated by weighting hunting success rate, population density, and garbage disposal rate. A higher hunting success rate and population density lead to a greater decrease in island biodiversity, potentially disrupting the island's ecological balance. Similarly, a higher garbage disposal rate leads to a greater environmental impact, and in this case, greater human interference with the island's ecological environment, resulting in a higher intensity of human activity.

[0102] Step S254: If the purpose of the activity is not to hunt island creatures, the activity route of the activity group is obtained, and the vegetation coverage rate of the activity route is counted.

[0103] If the activity is not aimed at hunting island species, then subjectively, the activity will not actively contribute to the reduction of island species. However, activities such as hiking and camping will have a certain impact on vegetation coverage. Activity routes can be mapped based on the movement of the activity in the visual environment image. Behavioral characteristics of hunting island species can be collected to determine whether the activity is aimed at hunting island species.

[0104] In step S255 , a ratio of the vegetation coverage rate of the active route to the vegetation coverage rate of the inactive route in the island area is obtained by comparison and recorded as a vegetation ratio.

[0105] Step S256: derive the intensity of human activities in the island area based on the garbage disposal rate, population density, and vegetation ratio.

[0106] In practice, weighted ratios are set for the waste disposal rate, population density, and vegetation ratio, and the intensity of human activity is calculated based on these weighted ratios. A smaller vegetation ratio indicates a greater impact of human activity on vegetation. Similarly, regardless of the purpose of the activity, waste disposal and population density will affect the intensity of human activity in island areas.

[0107] The steps to determine the degree of impact on regional organisms based on biological information and human activity intensity analysis are as follows:

[0108] Step S41: extract the perception of the regional organisms based on the biological information, and obtain the degree of influence on the regional organisms in the island area based on the perception, and record it as the biological influence degree.

[0109] In step S42, the biological impacts of all organisms in the island area are summed to obtain the degree of impact on the island area, which is recorded as the regional impact.

[0110] In practice, the same human activity can affect creatures differently due to their varying levels of sensitivity. For example, some creatures are highly alert, like sparrows, which will fly away before they even approach. Meanwhile, some creatures are less sensitive and less able to detect human presence. For example, rhinos have poor eyesight, often described as "congenitally nearsighted." They react more slowly to stationary objects, requiring a person or animal to approach them for them to notice them. Therefore, the impact of human activity on these creatures varies. By summing the impact of all the creatures in an island region, we can determine the impact of human activity intensity on that region.

[0111] The steps of extracting the perception of regional organisms based on biological information, and obtaining the degree of impact on regional organisms in the island area based on the perception and recording it as the biological impact are as follows:

[0112] Step S411: The perception of the organisms in the area is obtained based on the biological information extraction, and the corresponding human activity intensity is obtained by searching the preset perception-human activity intensity table and recorded as the standard intensity.

[0113] The Perception-Human Activity Intensity table shows the acceptable human activity intensities for different species based on their perception. For example, birds, due to their high perception, can tolerate lower human activity intensities; even slightly higher levels can affect their hunting and habitats. Rhinos, on the other hand, can tolerate higher levels of human activity because their perception is poor, making some human activities completely unnoticed. Each species is assigned a specific standard intensity, and different species use this standard intensity as a reference when determining whether an area's intensity meets the standard. For example, when analyzing the biological impact of birds, the standard intensity is Standard Intensity A for birds. When analyzing the biological impact of rhinos, the standard intensity is Standard Intensity B for rhinos.

[0114] In step S412, the human activity intensity corresponding to the island area is recorded as the regional intensity, and it is determined whether the regional intensity reaches the standard intensity.

[0115] In step S413, if the regional strength reaches the standard strength, the recognition degree of the regional organisms is obtained based on the biological information extraction.

[0116] In step S414, based on the recognition degree of the organisms in the area, the degree of influence on the organisms in the area is analyzed and recorded as the organism influence degree.

[0117] Step S415: If the regional intensity does not reach the standard intensity, it is determined that the organisms in the region are not affected and the biological impact degree is 0.

[0118] In practice, if the regional intensity reaches the standard intensity, then the organisms in the area will be affected by human activities. The degree of interference needs to be determined based on the organisms' actual conditions. If the regional intensity does not reach the standard intensity, then the organisms in the area are not aware of human activities at all, and therefore human activities do not make them invisible, resulting in an impact of 0. For example, due to limited vision, moles find it difficult to detect human presence unless humans are very close or produce strong vibrations and odors. However, when only a few people are active at a distance from them, that is, when human activity intensity is low, moles are effectively unable to detect humans and are therefore unaffected by them.

[0119] The steps for extracting the perception of regional organisms based on biological information are as follows:

[0120] Step S4111: extract the minimum volume and minimum visual range that can be perceived by the organisms in the area based on the biological information.

[0121] Organisms generally perceive through vision and hearing, and differences in their hearing and vision lead to different perception abilities. Remote sensing data can be used to extract biological response data. For example, organism A might react to an unusual sound level of 10 decibels by avoiding or attacking, but not to sounds below 10 decibels. The minimum volume is 10 decibels. Remote sensing can measure the distance between different organisms. The minimum distance from a predator can be used as the minimum visual range. For example, if there is a fixed radio broadcast on an island, the volume decays with distance. The maximum distance at which organisms flee in response to the broadcast is calculated, and the volume corresponding to the maximum distance is the minimum volume. Since startled and fleeing organisms have corresponding activity characteristics, these activity characteristics can be used to determine whether an organism is startled or fleeing, without inferring the current ambient volume. The minimum ambient volume can be obtained. The same applies to the average human perception distance. Remote sensing data can be used to extract image data of organisms fleeing or frightened by humans, and the average distance between the organism and humans can be calculated.

[0122] Step S4112: Count the average distance at which organisms in the area perceive the presence of humans.

[0123] In addition to vision and hearing, some creatures may rely on smell, and in real life, these senses constitute their overall perceptual ability.

[0124] Step S4113: Set proportional coefficients for the minimum volume, minimum visual range, and average distance, respectively, and obtain the perception of the organisms in the area according to the proportional coefficients.

[0125] In practice, the smaller the minimum volume a creature can perceive, the stronger its perception ability. For example, if creature A can perceive a minimum volume of 20 decibels and creature B can perceive a minimum volume of 10 decibels, then when a human emits a sound of 15 decibels, creature A will not be able to detect the human, but creature B will sense the human and react accordingly. Similarly, the larger the minimum visual range, the stronger the creature's perception ability. Furthermore, the greater the average distance at which a creature can sense the presence of a human, the stronger its perception ability, or the greater its degree of perception. For example, if a human is 5 meters away, creature A can sense the human and react accordingly, while creature B cannot sense the human and will not react.

[0126] The steps for obtaining the recognition of regional organisms based on biological information extraction are as follows:

[0127] Step S4131, obtaining the learning speed and memory duration of the organisms in the area based on the biological information.

[0128] The learning speed and memory duration of organisms can be determined based on existing data, or extracted from remote sensing monitoring data. For example, the speed at which an organism performs a similar behavior after being exposed to it can be determined.

[0129] Step S4132: Acquire activity data of regional creatures and humans when they are active in the same area, and extract the conflict probability between regional creatures and humans based on the activity data.

[0130] When organisms and humans are active in the same area, that is, when organisms and humans are aware of each other's existence, conflicts arise between organisms and humans. Conflict refers to aggressive behavior.

[0131] Step S4133: extracting the probability of injury of local creatures during conflicts with humans based on the activity data.

[0132] Some creatures may not have as strong attack capabilities as humans, so they will be injured and suffer damage. However, some creatures have stronger attack capabilities and will not be injured, such as tigers and lions.

[0133] Step S4134, the recognition level of the organisms in the area is evaluated based on the learning speed, memory duration, conflict probability and injury probability.

[0134] In practical applications, weighted ratios are set for learning speed, memory duration, conflict probability, and injury probability, and the organism's cognitive ability is calculated based on these weighted ratios. Faster learning speed and longer memory duration indicate stronger cognitive abilities and higher cognitive abilities. Organisms with higher cognitive abilities are able to more accurately perceive and understand environmental changes caused by human tourism. They can adjust their behavior accordingly, such as by altering foraging times, habitat selection, or reproductive strategies, to minimize conflict with human activities. Therefore, higher conflict and injury probabilities indicate weaker cognitive abilities in the organism, making it less able to protect itself and coexist harmoniously with humans. Organisms with higher cognitive abilities often have stronger resilience to the stress of human tourism. They adapt more quickly to environmental changes, reducing stress-induced population declines or behavioral abnormalities. The core cognitive indicators are learning speed, memory duration, conflict probability, and injury probability, all of which are inferred based on remote sensing data and organism behavior. By observing the behavioral characteristics of organisms, we can determine the time it takes for behavioral traits to change after exposure to different species, thereby determining the learning speed. Memory duration can be determined by identifying specific locations that are repeatedly visited (such as foraging lakes and nesting sites) and calculating recurrence intervals. If an organism repeatedly performs the same route or behavior (excluding instinct or environmental constraints), it demonstrates spatial memory, and the repetition period of its behavior can be analogously described as "memory duration." Conflict probability is calculated by calculating the ratio of behavioral activity with conflict characteristics to total behavioral activity. Injury probability is indirectly estimated by monitoring environmental risk exposure and behavioral anomalies. For example, if an organism exhibits abnormal behavioral characteristics and a reduced ability to escape (such as slowing down) when in danger, it can be considered injured, and the injury probability can be calculated.

[0135] Based on the recognition of regional organisms, the steps to analyze the degree of impact on regional organisms and record it as the biological impact are as follows:

[0136] Step S4141: Look up the corresponding cognition according to the preset human activity intensity-cognition table to obtain the standard cognition.

[0137] The greater the intensity of human activities, the more complex behaviors will be generated, and the higher the cognition of organisms will need to be in order to understand human activities and behaviors. This is because the corresponding cognition can be obtained according to the intensity of human activities. For example, when the intensity of human activities is high, organisms need a higher level of cognition to understand human behavior and live in harmony with humans. When organisms do not have such a high level of cognition to understand human behavior, they will take actions such as avoidance and attack to resist unknown things. The "preset human activity intensity-cognition table" is designed by the user based on actual conditions. By finding the average cognition of organisms that understand human behavior and live in harmony with humans under different human activity intensities, and the cognition we have already evaluated before. For example, as shown in the table below, the specific data is obtained based on the actual situation of the island, because the situation of each island may vary. The preset table is as follows:

[0138] Intensity of human activities Required awareness Theoretical basis Actual evidence (case) Level 1 C1 No human interference, only basic alert response required Tibetan antelopes on the Qinghai-Tibet Plateau: Fleeing from off-road vehicles 500 meters away (no need to understand the intention) Level 3 C3 Need to distinguish the differences in tourist behavior (feeding / attacking) and maintain an adaptive distance of 30-80m Yunnan Asian elephants: Distinguishing between tourists and poachers, and reducing the tolerance distance for guides to 20m (PLOS ONE, 2022) Level 5 C5 Need to understand traffic rules (such as stopping at red lights) to avoid car accidents, or to identify toxic / safe things Japanese crows: Using traffic to crush nuts (eating at red lights and flying away at green lights) (Science, 2019)

[0139] Step S4142, determine whether the recognition level of the organisms in the area has reached the standard recognition level. If it has not reached the standard recognition level, obtain the conditions for the organisms in the area to leave the island.

[0140] Due to the unique geographical location of islands, not all creatures can leave them. Some land creatures find it difficult to leave islands because they are surrounded by the sea. For example, if a tiger wants to leave an island, it must have a land route from the surrounding sea. For example, some birds can only fly continuously for an hour, so the flight time between the island and other land areas must not exceed one hour.

[0141] Step S4143: determine whether the organisms in the area have the conditions to leave the island. If the organisms in the area do not have the conditions to leave the island, count the area on the island that is suitable for the organisms to survive and record it as the survival area.

[0142] Step S4144: Find and obtain the biological impact according to the preset survival area-biological impact curve.

[0143] When organisms lack a high level of awareness, they will avoid human activities, especially for self-defense or to drive them away. If they lack the conditions to leave the island, they cannot and must flee to other locations. Due to the varying topographical features of islands, not all locations are suitable for survival. Therefore, it's important to identify areas where organisms can survive—those areas they might escape to. The larger the area where organisms can survive, the smaller the impact, as they can mitigate the impact of human activities through migration. The difference between the activities of organisms in the absence of humans and in the presence of humans can be compared. Greater differences indicate a greater impact, and this difference can be used as the impact. By finding the impact corresponding to the habitats of different organisms under the same intensity of human activity, and then statistically analyzing the impact, we can create a table showing the relationship between habitat area and impact, as shown below. A curve can then be plotted based on this table. The default habitat area-impact table is shown below:

[0144] Living area (km²) Biological impact (I) Ecological explanation Reality (Monitoring at Monkey Island, Nanwan, Hainan) >50 0.1-0.2 Area > MVP threshold, weak impact Population annual growth rate +4.5% 20 0.4 Approximating the minimum area (A_min=18km²) Poaching has caused a 30% drop in cub survival rates <10 0.8-0.9 Severe habitat fragmentation Inbreeding + disease outbreak, extinction probability >60% within 5 years

[0145] Step S4145: If the organisms in the area meet the conditions for leaving the island, the number of organisms in the area is counted and recorded as the number of organisms. The loss rate of organisms in the area leaving the island is counted, and the biological impact is obtained by combining the number of organisms and the loss rate.

[0146] Set weights for the number of organisms and the loss rate, and calculate the impact of the organisms based on the weights. Statistical data can be used to count the number of organisms, and existing data can be used to query the mortality rate of such organisms during migration.

[0147] In step S4146, if the recognition level of the organisms in the area reaches the standard recognition level, the degree of change in the living habits of the organisms in the area is obtained based on the biological information extraction as the biological influence level.

[0148] In practice, when organisms have the conditions to leave an island, they may choose to migrate long distances due to the interference of human life on the island, such as some birds. During migration, some individuals within the population may die due to various reasons, resulting in a certain attrition rate. The larger the number of organisms, the greater the impact on the affected species. A higher attrition rate results in a higher mortality rate, and thus a greater impact on the species. If organisms reach the standard level of awareness, they are assumed to be able to coexist harmoniously with humans, but they also achieve this by adjusting their lifestyles. Therefore, the greater the degree of change in their lifestyles, the greater the impact on them and the greater the impact on the species.

[0149] The island ecological environment remote sensing monitoring data analysis system, by applying the island ecological environment remote sensing monitoring data analysis method as described above, includes:

[0150] The island area module collects remote sensing monitoring data of the island, extracts the tourism resource distribution map of the island based on the remote sensing monitoring data, divides the area according to the tourism resource distribution map, and obtains multiple island areas.

[0151] The activity intensity module extracts human activity data based on remote sensing monitoring data and obtains the human activity intensity corresponding to the island area based on the human activity data.

[0152] The biological information module obtains organisms distributed in the island area and records them as regional organisms, and remotely monitors the biological information of regional organisms.

[0153] The impact degree module obtains the degree of impact on regional organisms based on biological information and human activity intensity analysis.

[0154] The environmental quality module obtains the importance of the island area to the island ecological environment, combines the impact degree to obtain the environmental quality of the island ecological environment and sends it to the user terminal.

[0155] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A method for analyzing remote sensing monitoring data of island ecological environment, characterized in that: The following steps are involved: Collect remote sensing monitoring data of the island, extract the distribution map of the island's tourism resources based on the remote sensing monitoring data, divide the region according to the tourism resource distribution map, and obtain multiple island regions; Human activity data is extracted from remote sensing monitoring data. The number of buildings in the island area is obtained based on the human activity data. If the number of buildings is 0, the population density, built-up area, and vegetation coverage are collected to confirm the human activity intensity corresponding to the island area. If the number of buildings is not 0, the characteristics of the people active in the island area are counted, the purpose of the activity is extracted, and the intensity of human activity corresponding to the island area is determined; Obtain organisms distributed in island areas and record them as regional organisms, and remotely monitor the biological information of regional organisms; Based on the biological information extracted, the minimum volume that organisms can perceive, the minimum visual range, and the average distance at which they can perceive human presence are comprehensively confirmed to obtain the biological perception. The degree of impact on regional organisms is analyzed by combining the biological cognition extracted from the biological information with the intensity of human activities. The importance of the island area to the island ecological environment is obtained, and the environmental quality of the island ecological environment is obtained based on the impact degree and sent to the user terminal.

2. The method for analyzing remote sensing monitoring data of an island ecological environment according to claim 1, characterized in that: The steps of collecting remote sensing monitoring data of the island, extracting a tourism resource distribution map of the island based on the remote sensing monitoring data, and dividing the regions based on the tourism resource distribution map to obtain multiple island regions are specifically as follows: Collect remote sensing monitoring images of the island, obtain the geomorphic features of the island based on the remote sensing monitoring images, and take areas with continuous and identical geomorphic features as a basic area to obtain multiple basic areas; Collect remote sensing monitoring data of the base area and identify traces of human activities based on the remote sensing monitoring data; The basic area is divided into continuous human activity area and continuous non-human activity area according to the traces of human activities; Continuous human activity areas and continuous non-human activity areas in all basic areas are counted to obtain multiple island areas.

3. The method for analyzing remote sensing monitoring data of an island ecological environment according to claim 2, characterized in that: The steps of extracting human activity data based on remote sensing monitoring data and obtaining the human activity intensity corresponding to the island area based on the human activity data are specifically as follows: Extracting human activity data corresponding to the island area based on remote sensing monitoring data, wherein the human activity data includes population density and number of buildings in the island area; Determine whether the number of buildings in the island area is 0. If the number of buildings is not 0, obtain the ratio of the building area of ​​the island area to the area of ​​the island area. The ratio of vegetation coverage in built-up areas to vegetation coverage in non-built-up areas in island areas was extracted based on remote sensing monitoring data and recorded as coverage ratio. The human activity intensity in the island region is obtained by combining human activity data, area ratio and coverage ratio; If the number of buildings is 0, the population characteristics of the active population in the island area are counted, and the human activity intensity is obtained based on the population characteristics.

4. The method for analyzing remote sensing monitoring data of an island ecological environment according to claim 3, characterized in that: If the number of buildings is 0, the steps of counting the crowd characteristics of the active people in the island area and obtaining the human activity intensity based on the crowd characteristics are specifically as follows: Counting the demographic characteristics of people active in the island area, including the rate of garbage disposal and the purpose of their activities; Determine whether the purpose of the activity is to hunt island creatures. If the purpose of the activity is to hunt island creatures, then calculate the hunting success rate; The intensity of human activities in the island area was obtained based on the hunting success rate, population density and garbage disposal rate; If the purpose of the activity is not to hunt island creatures, the activity routes of the active group are obtained and the vegetation coverage rate of the activity routes is calculated; The ratio of the vegetation coverage rate of the active route to the vegetation coverage rate of the inactive route in the island area is obtained by comparison and recorded as the vegetation ratio; The intensity of human activities in the island area is obtained based on the garbage disposal rate, population density and vegetation ratio.

5. The method for analyzing remote sensing monitoring data of an island ecological environment according to claim 4, characterized in that: The step of analyzing the degree of impact on regional organisms based on biological information and human activity intensity is specifically as follows: The perception of regional organisms is obtained based on the biological information extraction, and the degree of impact on regional organisms in the island area is obtained based on the perception and recorded as the biological impact; The biological impact of all regional organisms in the island area is summed up to obtain the degree of impact on the island area, which is recorded as the regional impact.

6. The method for analyzing remote sensing monitoring data of an island ecological environment according to claim 5, characterized in that: The steps of extracting the perception of regional organisms based on biological information, and obtaining the degree of impact on regional organisms in the island area based on the perception and recording the degree of impact as biological impact, are specifically as follows: The perception of regional organisms is obtained based on biological information extraction, and the corresponding human activity intensity is obtained according to the preset perception-human activity intensity table and recorded as the standard intensity; The intensity of human activities corresponding to the island area is recorded as the regional intensity, and whether the regional intensity reaches the standard intensity is determined; If the regional intensity reaches the standard intensity, the recognition degree of the regional organisms is obtained based on the biological information extraction; According to the recognition degree of regional organisms, the degree of impact on regional organisms is analyzed and recorded as the biological impact degree; If the regional strength does not reach the standard strength, it is judged that the organisms in the region are not affected and the biological impact degree is 0.

7. The method for analyzing remote sensing monitoring data of an island ecological environment according to claim 6, characterized in that: The step of extracting the perception of regional organisms based on biological information is specifically as follows: The minimum volume and minimum visual range that can be perceived by organisms in the area are obtained based on biological information extraction; The average distance at which organisms in a statistical area perceive the presence of humans; The proportional coefficients of the minimum volume, minimum visual range and average distance are set respectively, and the perception of the organisms in the area is obtained according to the proportional coefficients.

8. The method for analyzing remote sensing monitoring data of an island ecological environment according to claim 7, characterized in that: The step of extracting the recognition of regional organisms based on biological information is specifically as follows: Obtain the learning speed and memory duration of regional organisms based on biological information; Obtain activity data of regional organisms and humans when they are active in the same area, and extract the conflict probability between regional organisms and humans based on the activity data; Extract the probability of injury to regional organisms during conflicts with humans based on activity data; The recognition level of regional organisms is evaluated based on learning speed, memory duration, conflict probability and injury probability.

9. The method for analyzing remote sensing monitoring data of an island ecological environment according to claim 8, characterized in that: The step of analyzing the degree of impact on regional organisms based on the recognition of regional organisms and recording the degree of impact as the biological impact is specifically as follows: According to the preset human activity intensity-cognition table, the corresponding cognition is obtained as the standard cognition; Determine whether the awareness of regional creatures has reached the standard awareness level. If not, obtain the conditions for regional creatures to leave the island. Determine whether the organisms in the region have the conditions to leave the island. If the organisms in the region do not have the conditions to leave the island, then count the area on the island that is suitable for the organisms to survive and record it as the survival area. According to the preset survival area-biological impact curve, the biological impact is found; If the organisms in a region meet the conditions to leave the island, the number of organisms in the region is counted and recorded as the number of organisms. The loss rate of organisms leaving the island is calculated, and the biological impact is obtained by combining the number of organisms and the loss rate. If the recognition level of regional organisms reaches the standard recognition level, the degree of change in the living habits of regional organisms is obtained based on the biological information extraction and used as the biological impact.

10. The remote sensing monitoring data analysis system for island ecological environment is characterized by: The method for analyzing remote sensing monitoring data of an island ecological environment according to any one of claims 1 to 9 comprises: The island region module collects remote sensing monitoring data of the island, extracts the distribution map of the island's tourism resources based on the remote sensing monitoring data, and divides the region according to the tourism resource distribution map to obtain multiple island regions; Activity intensity module, which extracts human activity data based on remote sensing monitoring data and obtains the human activity intensity corresponding to the island area based on the human activity data; The biological information module obtains organisms distributed in the island area and records them as regional organisms, and remotely monitors the biological information of regional organisms; Impact degree module, which analyzes the degree of impact on regional organisms based on biological information and human activity intensity; The environmental quality module obtains the importance of the island area to the island ecological environment, combines the impact degree to obtain the environmental quality of the island ecological environment and sends it to the user terminal.

Images