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

Abstract

The application discloses a remote sensing monitoring data analysis method and system for 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 map of the island according to the remote sensing monitoring data, dividing regions according to the tourism resource distribution map, and obtaining a plurality of island regions; extracting human activity data according to the remote sensing monitoring data, obtaining human activity intensity corresponding to the island regions according to the human activity data; obtaining organisms distributed in the island regions and recording the organisms as regional organisms, and remotely monitoring biological information of the regional organisms; analyzing the influence degree of the regional organisms according to the biological information and the human activity intensity; obtaining the importance of the island regions to the island ecological environment, combining the influence degree to obtain the environmental quality of the island ecological environment, and sending the environmental quality to a user terminal. The application improves the accuracy of remote sensing monitoring data analysis for the island ecological environment.

Description

TECHNICAL FIELD

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

[0002] Remote sensing monitoring is a technical method for monitoring by using remote sensing technology, mainly including ground coverage, atmosphere, ocean and near-surface conditions and the like. The island ecological system refers to a natural system composed of biological communities and surrounding environment within the scope of an island. In recent years, the environmental protection concept is increasingly accepted by people, and the island is often evaluated in terms of island ecological environment by using remote sensing monitoring data analysis due to the special geographical position. In the existing remote sensing monitoring of island ecological environment, only the disturbance caused by the change of natural environment is often analyzed and evaluated, and other disturbances are often ignored. Meanwhile, due to the diversity of organisms, the analysis and evaluation of island ecological environment only by the change of natural environment is obviously not very consistent with the actual situation, resulting in inaccurate analysis results of remote sensing monitoring data of island ecological environment. SUMMARY

[0003] The purpose of the application is to provide a remote sensing monitoring data analysis method and system for island ecological environment to solve the problems in the background technology.

[0004] In a first aspect, the application provides a remote sensing monitoring data analysis method for island ecological environment, which adopts the following technical solution:

[0005] Collect remote sensing monitoring data of the island, extract a tourism resource distribution map of the island according to the remote sensing monitoring data, divide regions according to the tourism resource distribution map, and obtain a plurality of island regions;

[0006] Extract human activity data according to the remote sensing monitoring data, and obtain human activity intensity of the island regions according to the human activity data;

[0007] Obtain organisms distributed in the island regions and record them as regional organisms, and monitor biological information of the regional organisms by using remote sensing;

[0008] Analyze the influence degree of the regional organisms according to the biological information and the human activity intensity;

[0009] Obtain the importance of the island regions to the island ecological environment, combine the influence degree to obtain the environmental quality of the island ecological environment, and send the environmental quality to a user terminal.

[0010] Preferably, the step of collecting remote sensing monitoring data of the island, extracting a tourism resource distribution map of the island according to the remote sensing monitoring data, dividing regions according to the tourism resource distribution map, and obtaining a plurality of island regions is specifically as follows:

[0011] Collecting remote sensing monitoring images of the islands, obtaining the geomorphic features of the islands according to the remote sensing monitoring images, taking the regions with continuous and same geomorphic features as a basic region, and obtaining a plurality of basic regions;

[0012] Collecting remote sensing monitoring data of the basic regions, and identifying human activity traces according to the remote sensing monitoring data;

[0013] Dividing the basic regions into continuous human activity regions and continuous non-human activity regions according to the human activity traces;

[0014] Counting the continuous human activity regions and the continuous non-human activity regions of all the basic regions, and obtaining a plurality of island regions.

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

[0016] Extracting human activity data of the island region according to the remote sensing monitoring data, wherein the human activity data includes the population density and the number of buildings of the island region;

[0017] Judging whether the number of buildings of the island region is 0, if the number of buildings is not 0, obtaining the area ratio of the building area of the island region to the area of the island region;

[0018] Extracting the ratio of the vegetation coverage in the building region to the vegetation coverage in the non-building region of the island region according to the remote sensing monitoring data, and recording the ratio as a coverage ratio;

[0019] Obtaining the human activity intensity of the island region in combination with the human activity data, the area ratio and the coverage ratio;

[0020] If the number of buildings is 0, counting the crowd characteristics of the active crowd of the island region, and obtaining the human activity intensity according to the crowd characteristics.

[0021] Preferably, the step of counting the crowd characteristics of the active crowd of the island region and obtaining the human activity intensity according to the crowd characteristics if the number of buildings is 0 is specifically as follows:

[0022] Counting the crowd characteristics of the active crowd of the island region, wherein the crowd characteristics include the garbage discarding rate and the activity purpose;

[0023] Judging whether the activity purpose is hunting island creatures, if the activity purpose is hunting island creatures, counting the hunting success rate;

[0024] Obtaining the human activity intensity of the island region according to the hunting success rate, the population density and the garbage discarding rate;

[0025] If the purpose of the activity is not to hunt island creatures, then obtain the activity route of the participants and count the vegetation coverage of the activity route.

[0026] The ratio of vegetation coverage along active routes to vegetation coverage along inactive routes in the island area is obtained and recorded as the vegetation ratio.

[0027] The intensity of human activity in an island region can be determined by the rate of waste disposal, population density, and vegetation ratio.

[0028] Preferably, the step of determining the degree of impact on regional organisms based on biological information and human activity intensity analysis specifically includes:

[0029] The perception level of regional organisms is obtained by extracting bioinformation, and the degree of influence on regional organisms in the island area is obtained based on the perception level and recorded as the bioinfluence level.

[0030] The degree of influence on the island region is obtained by summing the biological impact of all regional organisms in the island region, and is denoted as the regional impact degree.

[0031] Preferably, the step of extracting the perception level of regional organisms based on biological information, and determining the degree of influence on regional organisms in the island area based on the perception level and recording it as the biological influence level, specifically includes:

[0032] The perception level of regional organisms is obtained by extracting bioinformation, and the corresponding human activity intensity is found by looking up the preset perception-human activity intensity table and recorded as the standard intensity.

[0033] The intensity of human activity in the island area is recorded as the regional intensity, and it is determined whether the regional intensity reaches the standard intensity.

[0034] If the regional intensity reaches the standard intensity, the cognitive level of regional organisms is obtained based on bioinformatics.

[0035] Based on the awareness of regional organisms, the degree of impact on regional organisms is analyzed and recorded as the biological impact degree;

[0036] If the regional intensity does not reach the standard intensity, it is determined that the regional organisms are not affected, and the degree of biological impact is 0.

[0037] Preferably, the step of obtaining the perception level of regional organisms based on biological information extraction specifically includes:

[0038] Based on bioinformatics extraction, the minimum volume and minimum visual range that regional organisms can perceive are obtained.

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

[0040] Respective minimum volume, visual minimum range and average distance proportion coefficient are set, and the perception degree of the regional organism is obtained according to the proportion coefficient.

[0041] Preferably, the step of obtaining the cognitive degree of the regional organism according to the biological information specifically comprises:

[0042] The learning speed and memory duration of the regional organism are obtained according to the biological information;

[0043] Activity data of the regional organism and the human being in the same region are obtained, and the conflict probability of the regional organism and the human being is obtained according to the activity data;

[0044] The injury probability of the regional organism in the conflict process with the human being is obtained according to the activity data;

[0045] The cognitive degree of the regional organism is evaluated according to the learning speed, the memory duration, the conflict probability and the injury probability.

[0046] Preferably, the step of analyzing the influence degree of the regional organism according to the cognitive degree of the regional organism and recording the biological influence degree specifically comprises:

[0047] The corresponding cognitive degree is obtained according to the preset human activity intensity-cognitive degree table as the standard cognitive degree;

[0048] It is judged whether the cognitive degree of the regional organism reaches the standard cognitive degree, if not, the condition of the regional organism leaving the island is obtained;

[0049] It is judged whether the regional organism has the condition of leaving the island, if not, the area of the region meeting the survival of the regional organism in the island is counted and recorded as the survival area;

[0050] The biological influence degree is obtained according to the preset survival area-biological influence degree curve;

[0051] If the regional organism has the condition of leaving the island, the number of the regional organisms is counted and recorded as the biological number, the loss rate of the regional organisms leaving the island is counted, and the biological influence degree is obtained according to the biological number and the loss rate;

[0052] If the cognitive degree of the regional organism reaches the standard cognitive degree, the living and working change degree of the regional organism is obtained according to the biological information as the biological influence degree.

[0053] In the second aspect, the application provides a remote sensing monitoring data analysis system for island ecological environment, which adopts the following technical scheme:

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

[0055] The island region module collects remote sensing monitoring data of islands, extracts tourism resource distribution maps of islands based on the remote sensing monitoring data, and divides the islands into regions based on the tourism resource distribution maps, resulting in multiple island regions;

[0056] The activity intensity module extracts human activity data from remote sensing monitoring data and obtains the corresponding human activity intensity for the island area based on the human activity data.

[0057] The bioinformatics module acquires and records organisms distributed in the island area as regional organisms, and remotely monitors the bioinformatics of regional organisms.

[0058] The impact level module analyzes the degree of impact on regional organisms based on biological information and the intensity of human activities.

[0059] The environmental quality module obtains the importance of the island area to the island's ecological environment, combines the degree of impact to obtain the environmental quality of the island's 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 of islands, multiple island regions are divided based on the data, and the corresponding intensity of human activities is analyzed. Combined with biological information from remote sensing monitoring, the degree of impact on organisms in different island regions is assessed. Finally, considering the importance of each island region to the island's ecological environment, the environmental quality of the island's ecological environment is determined and sent to user terminals. Analyzing human activities through remote sensing monitoring improves the accuracy of remote sensing monitoring data analysis of island ecological environments, thus mitigating the unnatural impacts of human activities on the island's ecological environment.

[0062] 2. Based on remote sensing monitoring of population density and the number of buildings, human activity density was analyzed for two scenarios: the presence or absence of buildings within the island area. Different analyses were performed for different scenarios, resulting in more accurate data and providing reliable data for subsequent ecological environment analysis and assessment, thus improving the reliability of remote sensing monitoring data analysis for the island's ecological environment.

[0063] 3. An organism's perceptual abilities are assessed based on its hearing, vision, and average distance from humans. Its cognitive abilities are assessed through its learning speed, memory duration, and conflict with humans. The degree of impact on the organism is then analyzed based on its perceptual and cognitive abilities and the intensity of human activity, ultimately determining the environmental quality of the island's ecosystem. This approach, which analyzes specific problems individually, better aligns with the biological habits of different organisms and enhances the practicality of remote sensing monitoring data analysis for island ecosystems. Attached Figure Description

[0064] Figure 1is a specific step schematic diagram of an embodiment of the island ecological environment remote sensing monitoring data analysis method of the present application.

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

[0066] The present application will be further described in detail below in conjunction with embodiments and Figures 1-2 The present application will be further described in detail below in conjunction with embodiments and

[0067] The present application discloses an island ecological environment remote sensing monitoring data analysis method, specifically comprising the following steps:

[0068] Step S1, collect remote sensing monitoring data of the island, extract a tourism resource distribution map of the island according to the remote sensing monitoring data, divide regions according to the tourism resource distribution map, and obtain a plurality of island regions.

[0069] Step S2, extract human activity data according to the remote sensing monitoring data, and obtain human activity intensity corresponding to the island region according to the human activity data.

[0070] Step S3, obtain a biological organism distributed in the island region and record it as a regional biological organism, and remotely sense biological information of the regional biological organism.

[0071] Remote sensing monitoring is an advanced environment information acquisition technology, which is "fast" and "complete" in acquiring large-area synchronous and dynamic environment information, and cannot be compared and completed by other detection methods. Therefore, the relevant biological information of the island biological organism can be monitored by remote sensing.

[0072] Step S4, analyze the influence degree of the regional biological organism according to the biological information and the human activity intensity.

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

[0074] The importance of different areas in the same island to the ecological environment of the island varies, which is mainly due to the geographical location, ecological function, etc. of each area. For example, coral reefs are an important part of the marine ecosystem of Hainan Island, with rich biodiversity. Coral reefs not only provide habitats for many marine organisms, but also serve as an important basis for fishery resources. In addition, coral reefs can effectively resist wave erosion and protect the stability of the coastline. The shallow sea ecosystem includes beaches, estuarine wetlands, and seagrass beds, etc. These areas provide unique habitats and food chains for many marine organisms. For example, the estuarine wetlands of the shallow sea are the habitat and breeding ground for many migratory birds, as well as the breeding ground for many fish and crustaceans. The importance of island areas to the ecological environment of the island can be input by the user or based on the public evaluation results as the importance of the island area to the ecological environment of the island. Set the weight ratio of importance and influence, and calculate the environmental quality according to the weight ratio.

[0075] In actual application, due to the uniqueness of islands, most islands have tourism attributes, which inevitably leads to the impact of human activities on island organisms. The impact of human activities on island organisms not only comes from environmental destruction, but also comes from human activities themselves. For example, humans only walk on the island and do not destroy or harm organisms, but due to the characteristics of organisms, they will avoid humans, which will affect the activities of organisms and thus interfere with the entire ecological environment of the island. Different organisms have different characteristics, so the degree of influence is also different. According to the biological information and the intensity of human activities in the area, the degree of influence on organisms is obtained, which is more accurate and makes full use of remote sensing monitoring data.

[0076] Collect remote sensing monitoring data of the island, extract the distribution map of tourism resources of the island according to the remote sensing monitoring data, and divide the area according to the distribution map of tourism resources to obtain multiple island areas. The steps are as follows:

[0077] Step S11, collect remote sensing monitoring images of the island, obtain the topographic features of the island according to the remote sensing monitoring images, and regard the area with continuous and same topographic features as a basic area to obtain multiple basic areas.

[0078] An island may have different topographic features, and the organisms living in different topographic features are also different. The initial division of island areas can be made according to the topography. When the topographic features are not continuous, they are not regarded as a region.

[0079] Step S12, collect remote sensing monitoring data of the basic area, and identify human activity traces according to the remote sensing monitoring data.

[0080] By remote sensing monitoring data, non-natural environment articles can be extracted to identify human activity traces. For example, a mineral water bottle is a non-natural environment article, and the identification of the mineral water bottle can indicate that there is human activity.

[0081] Step S13, according to the human activity traces, the basic area is divided into continuous human activity area and continuous non-human activity area.

[0082] The human activity area is a range, for example, in the basic area, A and B regions are identified as human activity traces, but the middle C region has no human activity traces, then A, B and C regions are formed, wherein A and B are continuous human activity areas, and C is a continuous non-human activity area. If A and B are connected and there is no C region in the middle, A and B are regarded as a continuous human activity area.

[0083] Step S14, the continuous human activity area and the continuous non-human activity area of all basic areas are counted to obtain a plurality of island regions.

[0084] In actual application, because the distribution of island tourism resources is uneven, a plurality of regions can be divided according to human activity. For example, some regions are not developed, some regions are developed, and the developed regions can not be adjacent, so the human activity intensity is different, and thus they are regarded as different regions. According to the remote sensing monitoring human activity traces, a plurality of regions can be divided, which is beneficial to the analysis of subsequent remote sensing monitoring data.

[0085] According to the remote sensing monitoring data, the human activity data is extracted, and the human activity intensity corresponding to the island region is obtained according to the human activity data. The steps are as follows:

[0086] Step S21, according to the remote sensing monitoring data, the human activity data corresponding to the island region is extracted, and the human activity data includes the population density and the number of buildings in the island region.

[0087] Optical satellites can directly obtain multispectral images with a resolution of 0.3 meters; synthetic aperture radar (Sentinel-1) can penetrate clouds to generate microwave images. True color / pseudo color composite images, land surface temperature thermal images, vegetation index distribution images and other visual environmental images can be generated. Through the visual environmental image, the estimated population and the corresponding area can be extracted, and the population density can be calculated. Similarly, the number of buildings only needs to extract the building features, and the buildings are identified from the visual image according to the building features, so as to count the number of buildings.

[0088] Step S22, judging whether the number of buildings in the island region is 0, if the number of buildings is not 0, the area ratio of the building area of the island region to the area of the island region is obtained.

[0089] For example, the island area is 10000 square meters, and the building area is 5000 square meters, so the area ratio is 50%.

[0090] Step S23, the ratio of the vegetation coverage in the building area and the vegetation coverage in the non-building area of the island area is extracted according to the remote sensing monitoring data, and is recorded as the coverage ratio.

[0091] The building area does not mean that there is no vegetation, but the vegetation coverage will generally change due to the occupation of the building. For example, the vegetation coverage of the building area is 20%, and the vegetation coverage of the non-building area is 80%, so the ratio is 1 / 4.

[0092] Step S24, the human activity intensity of the island area is obtained by combining the human activity data, the area ratio and the coverage ratio.

[0093] Step S25, if the building quantity is 0, the crowd characteristics of the active crowd in the island area are counted, and the human activity intensity is obtained according to the crowd characteristics.

[0094] In actual application, the weight ratios of the population density, the building quantity, the area ratio and the coverage ratio are set respectively, and the human activity intensity is calculated according to the weight ratios. The human activity intensity refers to the disturbance degree of a certain area caused by human activities. The greater the population density is, the more people in the island area, so the human activity intensity is increased. At the same time, the more the building quantity is and the greater the area ratio is, the higher the development degree of the place is, so the human activity intensity of the region is greater. The smaller the coverage ratio is, the more the vegetation of the original region disappears due to the construction of the building, and the disturbance degree to the island biology is increased, that is, the human activity intensity is greater.

[0095] If the building quantity is 0, the crowd characteristics of the active crowd in the island area are counted, and the human activity intensity is obtained according to the crowd characteristics. The specific steps are as follows:

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

[0097] The activity purposes of the active crowds in the island area are different, for example, some people are hiking, some people are hunting, and some people are on vacation. Different crowds have different characteristics, and the garbage disposal rate will also change according to the change of the active crowds. For example, the hunting crowd does not care about environmental protection and may randomly discard garbage. The garbage disposal rate is obtained by statistically counting the number of garbage and the ratio of the crowd. The garbage distribution area can be identified and its quantity can be estimated by using a deep learning algorithm from a visual image, and the garbage quantity and the corresponding regional population are spatially related in the GIS platform. The garbage disposal rate (such as tons per thousand people) can be estimated by dividing the total amount of garbage by the total population.

[0098] Step S252, determine whether the activity purpose is to hunt island organisms, if the activity purpose is to hunt island organisms, then count the hunting success rate.

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

[0100] Step S253, get the human activity intensity in the island area according to the hunting success rate, population density and garbage disposal rate.

[0101] The weight ratio of the hunting success rate, population density and garbage disposal rate is set respectively, and the human activity intensity is calculated according to the weight ratio. When the hunting success rate is greater and the population density is greater, the number of island organisms will decrease more, and it is easier to break the original island ecological balance. Similarly, the higher the garbage disposal rate, the greater the impact on the environment. In this case, the degree of disturbance of human beings to the island ecological environment is greater, so the human activity intensity is greater.

[0102] Step S254, if the activity purpose is not to hunt island organisms, get the activity route of the active crowd, and count the vegetation coverage rate of the activity route.

[0103] If the purpose of the active crowd is not to hunt island organisms, then subjectively, it will not actively lead to the decrease of island organisms, but due to their hiking, camping and other behaviors, it will have a certain impact on the vegetation coverage rate. The activity route can be drawn according to the moving position of the crowd in the visual environment image, the behavior characteristics of hunting island organisms are collected, and whether the activity purpose of the crowd is to hunt island organisms is determined according to the behavior characteristics of the crowd.

[0104] Step S255, compare the ratio of the vegetation coverage rate of the activity route to the vegetation coverage rate of the non-activity route in the island area and record it as the vegetation ratio.

[0105] Step S256, get the human activity intensity in the island area according to the garbage disposal rate, population density and vegetation ratio.

[0106] In actual application, the weight ratio of the garbage discarding rate, the population density and the vegetation ratio is set respectively, and the human activity intensity is calculated according to the weight ratio. When the vegetation ratio is smaller, the influence of human activity on the vegetation is greater. Similarly, no matter what the purpose of the activity is, the garbage discarding and the population density will affect the human activity intensity of the island region.

[0107] According to the biological information and the human activity intensity analysis, the influence degree of the regional biology is obtained, and the steps are as follows:

[0108] In step S41, the perception degree of the regional biology is extracted according to the biological information, the influence degree of the regional biology of the island region is obtained according to the perception degree, and is recorded as the biological influence degree.

[0109] In step S42, the biological influence degrees of all the regional biology of the island region are summed up, the influence degree of the island region is obtained, and is recorded as the regional influence degree.

[0110] In actual application, under the same human activity, because the perception degrees of the biology are different, the influences are also different. For example, some biology has high vigilance, such as sparrows, which will fly away without approaching. Some biology has weak perception, and cannot perceive the existence of human beings. For example, the vision of rhinoceros is poor, and is known as "congenital myopia". They are slow to react to stationary objects, and a person or animal must walk in front of them to get their attention. Therefore, the interference of human activity on them is different, and the biological influence degrees of all the regional biology of the island region are summed up, the influence degree of the island region is obtained, and is recorded as the regional influence degree.

[0111] According to the biological information, the perception degree of the regional biology is extracted, the influence degree of the regional biology of the island region is obtained according to the perception degree, and is recorded as the biological influence degree. The steps are as follows:

[0112] In step S411, the perception degree of the regional biology is extracted according to the biological information, and the corresponding human activity intensity is obtained according to the preset perception degree-human activity intensity table, and is recorded as the standard intensity.

[0113] The perceptibility-human activity intensity table refers to the human activity intensity that can be accepted by the perceptibility of different organisms. For example, for birds, because the perceptibility is high, the human activity intensity that can be accepted is low, and a little higher human activity intensity will affect its hunting and habitat. For rhinoceros, the human activity intensity that can be accepted is high, because the perceptibility is poor, and some human activities cannot be perceived. One organism corresponds to one standard intensity, and different organisms refer to the corresponding standard intensity when judging whether the regional intensity reaches the standard intensity. For example, when analyzing the biological influence degree of birds, the standard intensity is the standard intensity A corresponding to birds. When analyzing the biological influence degree of rhinoceros, the standard intensity is the standard intensity B corresponding to rhinoceros.

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

[0115] In step S413, if the regional intensity reaches the standard intensity, the perceptibility of the regional organism is extracted according to the biological information.

[0116] In step S414, the influence degree of the regional organism is analyzed according to the perceptibility of the regional organism and recorded as the biological influence degree.

[0117] In step S415, if the regional intensity does not reach the standard intensity, it is judged that the regional organism is not affected, and the biological influence degree is 0.

[0118] In actual application, if the regional intensity reaches the standard intensity, the organism in the region will be affected by human activities, and it is necessary to confirm the disturbance and influence of the organism according to the actual situation of the organism. If the regional intensity does not reach the standard intensity, it means that the organism in the region cannot perceive human activities, so human activities will not have an invisible effect on the organism, and the biological influence degree is 0. For example, due to limited vision, moles are difficult to perceive the existence of humans, unless humans are very close or produce strong vibration and odor. When only a few people are in the place where the mole is at a certain distance, that is, the human activity intensity is low, the mole cannot perceive humans, so it will not be affected by humans.

[0119] The step of extracting the perceptibility of the regional organism according to the biological information is specifically:

[0120] In step S4111, the minimum volume and visual minimum range that can be perceived by the regional organism are extracted according to the biological information.

[0121] Biology generally perceives through vision, hearing and other ways, and when their hearing and vision are different, their perception ability is also different. The biological reaction data monitored by remote sensing monitoring data can be extracted, for example, when A biology hears an abnormal sound of 10 decibels, it will make a response such as avoiding or attacking, and it will not respond to a sound below 10 decibels, and the minimum volume is 10 decibels. The distance between different biologies can be monitored by remote sensing monitoring, and then the minimum distance between the biology and the enemy when it escapes from the enemy can be used as the minimum range of vision. For example, there is a fixed broadcast on the island, and according to the attenuation of the volume with the distance, the maximum distance of the biology affected by the broadcast is counted, and the volume corresponding to the maximum distance is the minimum volume. The biology has corresponding activity characteristics when it is frightened or escapes, and whether the biology is frightened or escapes can be judged according to the activity characteristics, and the minimum volume in all environment volumes is obtained by not guessing the current environment volume. The average perception distance of human beings is the same, and the image data of the biology escaping or being frightened by human beings is extracted from the remote sensing monitoring data to calculate the average distance between the biology and the human beings.

[0122] Step S4112, count the average distance of the region biology perceiving the existence of human beings.

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

[0124] Step S4113, respectively set the proportion coefficient of the minimum volume, the minimum range of vision and the average distance, and obtain the perception degree of the region biology according to the proportion coefficient.

[0125] In actual application, the smaller the minimum volume that the region biology can perceive, the stronger its perception ability is. For example, the minimum volume perceived by A biology is 20 decibels, and the minimum volume perceived by B biology is 10 decibels, so when the human beings emit a sound of 15 decibels, A biology cannot perceive the human beings, and B biology can perceive the human beings and make a response. Similarly, the larger the minimum range of vision, the stronger the perception ability of the biology is. The larger the average distance of the region biology perceiving the existence of human beings, the stronger the perception ability of the biology is, that is, the larger the perception degree is. For example, when the human beings are 5 meters away from the biology, A biology can perceive the human beings and make a response, and B biology cannot perceive the human beings and will not make a response.

[0126] The step of extracting the cognition degree of the region biology according to the biology information is as follows:

[0127] Step S4131, obtain the learning speed and memory duration of the region biology according to the biology information.

[0128] The learning speed and memory duration of the organism can be obtained according to the existing data, and the remote sensing monitoring data can also be extracted. For example, the speed from the behavior of contacting the same kind to the behavior of implementing the same kind.

[0129] In step S4132, the activity data of the region organism and the human in the same region is obtained, and the conflict probability of the region organism and the human is extracted according to the activity data.

[0130] When the organism and the human are in the same region, that is, the organism and the human can perceive each other, the conflict between the organism and the human occurs, and the conflict refers to the attack behavior.

[0131] In step S4133, the injury probability of the region organism in the conflict process with the human is extracted according to the activity data.

[0132] Some organisms may not be as strong as humans in attack ability, and may be injured and disturbed themselves. However, some organisms have strong attack ability and will not be injured, such as tigers, lions and other organisms.

[0133] In step S4134, the cognitive degree of the region organism is evaluated according to the learning speed, the memory duration, the conflict probability and the injury probability.

[0134] In practical application, the weight ratios of learning speed, memory duration, conflict probability and injury probability are set respectively, and the cognitive degree of the organism is calculated according to the weight ratios. When the learning speed is faster and the memory duration is longer, it means that the cognitive ability of the organism is stronger, and the cognitive degree is higher. The organism with higher cognitive ability can more accurately perceive and understand the environmental changes caused by human tourism activities, and they can adjust their behavior according to these changes, such as changing foraging time, habitat selection or breeding strategy, to reduce the conflict with human activities. Therefore, when the conflict probability is greater and the injury probability is greater, it means that the cognitive ability of the organism to human activities is weaker, and it cannot protect itself well in human activities and live in harmony with humans. Facing the pressure brought by human tourism activities, the organism with higher cognitive ability usually has stronger recovery ability. They can adapt to environmental changes more quickly and reduce the decline in population size or abnormal behavior caused by stress. The core indicators in cognitive degree are learning speed, memory duration, conflict probability and injury probability, which are still obtained according to remote sensing monitoring data and biological habits. By observing the behavior characteristics of the organism, the time when the behavior characteristics of the organism change after contacting different organisms can be obtained, and the learning speed can be obtained. Memory duration can be achieved by identifying specific points (such as foraging lakes and nest sites) with repeated visits and counting the interval between occurrences. If the organism repeatedly performs the same route / behavior (excluding instinct or environmental coercion), it can reflect the spatial memory ability, and the behavior repetition period can be analogous to "memory duration". The conflict probability is obtained by calculating the ratio of the amount of behavior activities with conflict characteristics to the total amount of behavior activities, and the injury probability is indirectly calculated by monitoring the environmental risk exposure and behavior abnormal characteristics. For example, when the organism has abnormal behavior characteristics and the escape ability is weakened (slower speed, etc.), it can be judged as injured, and the injury probability can be calculated.

[0135] According to the cognitive degree of the regional organism, the influence degree of the regional organism is analyzed and recorded as the biological influence degree, which comprises the following steps:

[0136] In step S4141, the corresponding cognitive degree is found according to the preset human activity intensity-cognitive degree table, which is used as the standard cognitive degree.

[0137] The greater the intensity of human activity, the more complex behavior it produces, and the higher the cognitive degree of the organism needs to understand human activity behavior. Because according to the intensity of human activity, the corresponding cognitive degree can be obtained. For example, the higher the intensity of human activity, the higher the cognitive degree of the organism needs to understand human behavior, so as to coexist harmoniously with humans. When the organism does not have such a high cognitive degree to understand human behavior, the organism will take evasive, attack and other behaviors to resist unknown things. The "preset human activity intensity-cognitive degree table" is designed by the user according to the actual situation. By looking up the average cognitive degree of the organism that understands human behavior and coexists harmoniously with humans under different human activity intensity, and the cognitive degree has been evaluated before. For example, the specific data is obtained according to the actual situation of the island, because the situation of each island may be different. The preset table is as follows:

[0138] Intensity of human activity Required cognitive level Theoretical basis Practical evidence (case) Level 1 C1 No human interference, only basic vigilance response Tibetan antelope on Qinghai-Tibet Plateau: flee at 500m from off-road vehicles (no need to understand the intention) Level 3 C3 Need to distinguish between tourist behavior differences (feeding / attack), maintain adaptive distance of 30-80m Yunnan Asian elephant: distinguish between tourists and poachers, reduce tolerance distance to tour guides to 20m (PLOSONE, 2022) Level 5 C5 Need to understand traffic rules (such as red light stop) to avoid accidents, or identify toxic / safe things Japanese crow: use traffic to crush nuts (feed at red light, fly away at green light) (Science, 2019)

[0139] Step S4142, it is judged whether the cognitive degree of the regional organism reaches the standard cognitive degree, if not, the condition for the regional organism to leave the island is obtained.

[0140] Due to the particularity of the geographical location of the island, not all organisms can leave the island. Some land organisms are difficult to leave the island because the island is surrounded by sea. For example, a tiger wants to leave the island, it needs to meet the condition that there is a land road on the sea around the island. For example, some birds can only fly for an hour, so it needs to meet the condition that the flight time between the island and other land areas is not more than one hour.

[0141] Step S4143, it is judged whether the regional organism has the condition to leave the island, if the regional organism does not have the condition to leave the island, the area of the island that meets the survival of the regional organism is counted and recorded as the survival area.

[0142] Step S4144, according to the preset survival area-organism influence degree curve, the organism influence degree is found.

[0143] When the awareness of the organism is not high, the organism will avoid when it encounters human activities, plus human self-defense, driving and other reasons. If the organism does not have the condition to leave the island, the organism cannot leave the island and can only escape to other locations on the island. Due to the different topographic features of the island, not all locations are suitable for the organism to survive. Therefore, finding the area where the organism can survive is the area where the organism can escape. When the survival area of the organism is larger, the influence degree will be smaller, because the organism can reduce the influence of human activities through migration. The difference between the living activity behavior of the organism when there is no human and the living activity behavior when there is human can be compared, and the greater the difference is, the greater the influence degree of the organism is. The difference can be used as the influence degree of the organism. By finding the influence degree of different organisms corresponding to the survival area under the same human activity intensity, the following survival area-organism influence degree table is obtained, and the curve is drawn according to the table. The preset survival area-organism influence degree table is as follows:

[0144] Survival area (km²) Biological impact (I) Ecological explanation Real performance (Hainan Nanwan Monkey Island monitoring) >50 0.1-0.2 Area > MVP threshold, weak impact Population annual growth rate +4.5% 20 0.4 Approaching minimum surface (A_min=18km²) Poaching incidents reduce infant survival rate by 30% <10 0.8-0.9 Severe habitat fragmentation Inbreeding + disease outbreak, probability of extinction within 5 years >60%

[0145] Step S4145, if the area organism has the condition to leave the island, the number of the area organism is counted and recorded as the number of organisms, and the mortality rate of the area organism leaving the island is counted. The number of organisms and the mortality rate are combined to obtain the influence degree of the organism.

[0146] The weight ratio of the number of organisms and the mortality rate is set respectively, and the influence degree of the organism is calculated according to the weight ratio. The number of organisms can be counted according to remote sensing monitoring data, and the mortality rate of the organism during migration can be obtained by querying existing data.

[0147] Step S4146, if the awareness of the area organism reaches the standard awareness, the living and working change degree of the area organism is obtained according to the biological information extraction, which is used as the influence degree of the organism.

[0148] In actual application, when the organism has the condition to leave the island, the organism will choose long-distance migration due to the disturbance of human life on the island. During the migration process, the death of some individuals in the population will occur due to various reasons, so there is a certain mortality rate. When the number of organisms is larger, the influence range of the organism is larger, and the mortality rate is larger, so the influence degree of the organism is larger. If the awareness of the organism reaches the standard awareness, it is considered that the organism can coexist with humans in harmony, but they also adjust their living and working to achieve harmonious coexistence. Therefore, the greater the living and working change degree is, the greater the influence on them is, and the greater the influence degree of the organism is.

[0149] The remote sensing monitoring data analysis system of the island ecological environment applies the remote sensing monitoring data analysis method of the island ecological environment as described above, which comprises:

[0150] An island area module collects remote sensing monitoring data of the island, extracts a tourism resource distribution map of the island according to the remote sensing monitoring data, divides areas according to the tourism resource distribution map, and obtains a plurality of island areas.

[0151] An activity intensity module extracts human activity data according to the remote sensing monitoring data, and obtains human activity intensity corresponding to the island area according to the human activity data.

[0152] A biological information module acquires biological information of a biological distributed in the island area and records the biological as a regional biological, and remotely monitors the biological information of the regional biological.

[0153] An influence degree module analyzes the influence degree of the regional biological according to the biological information and the human activity intensity.

[0154] An environmental quality module acquires the importance of the island area to the ecological environment of the island, combines the influence degree to obtain the environmental quality of the ecological environment of the island, and sends the environmental quality to a user terminal.

[0155] The above are preferred embodiments of the present application, and are not intended to limit the protection scope of the present application, so that: any equivalent changes made according to the structure, shape, principle of the present application should be covered within the protection scope of the present application.

Claims

1. A method for analyzing remote sensing monitoring data of island ecological environment, characterized in that, Includes the following steps: Remote sensing monitoring data of the islands is collected, and a tourism resource distribution map of the islands is extracted based on the remote sensing monitoring data. The tourism resource distribution map is then used to divide the islands into regions, resulting in multiple island regions. Human activity data is extracted from remote sensing monitoring data. The number of buildings in the island area is then extracted from the human activity data. If the number of buildings is 0, population density, building area area and vegetation coverage are collected to confirm the intensity of human activity in the island area. If the number of buildings is not zero, then the characteristics of the active population in the island area are statistically analyzed, the purpose of the activity is extracted, and the intensity of human activity in the corresponding island area is confirmed. Acquire biological information of organisms distributed in island areas and record them as regional organisms; use remote sensing to monitor the biological information of regional organisms. Based on the minimum volume, minimum visual range, and average distance at which organisms can perceive human presence extracted from bioinformation, the perceptual level of organisms is comprehensively confirmed. Combined with the biological cognition level extracted from bioinformation and the intensity of human activities, the degree of impact on regional organisms is analyzed. The system determines the importance of island regions to the island's ecological environment, combines the degree of impact to obtain the environmental quality of the island's ecological environment, and sends the result to the user's terminal. The importance of a particular island region to the island's ecological environment can be determined through user input. Human activity data corresponding to the island area is extracted from remote sensing monitoring data. The human activity data includes the population density and number of buildings in the island area.

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

3. The remote sensing monitoring data analysis method for island ecological environment according to claim 2, characterized in that, The steps of extracting human activity data from remote sensing monitoring data and obtaining the intensity of human activity in the island area based on the human activity data are as follows: Determine if the number of buildings in the island area is 0. If the number of buildings is not 0, obtain the ratio of the area of ​​the building area to the area of ​​the island area. The ratio of vegetation coverage in built areas to vegetation coverage in non-built areas of island areas is extracted from remote sensing monitoring data and recorded as the coverage ratio. The intensity of human activity in island areas can be determined by combining human activity data, area ratio, and coverage ratio. If the number of buildings is 0, then the population characteristics of the active population in the island area are statistically analyzed, and the intensity of human activity is obtained based on the population characteristics.

4. The remote sensing monitoring data analysis method for island ecological environment according to claim 3, characterized in that, If the number of buildings is 0, the steps for statistically analyzing the population characteristics of the active population in the island area and obtaining the intensity of human activity based on these characteristics are as follows: The characteristics of active populations in island areas are statistically analyzed, including waste disposal rates and activity purposes. 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 activity in the island area was determined by hunting success rate, population density, and litter disposal rate. If the purpose of the activity is not to hunt island creatures, then obtain the activity route of the participants and count the vegetation coverage of the activity route. The ratio of vegetation coverage along active routes to vegetation coverage along inactive routes in the island area is obtained and recorded as the vegetation ratio. The intensity of human activity in an island region can be determined by the rate of waste disposal, population density, and vegetation ratio.

5. The remote sensing monitoring data analysis method for island ecological environment according to claim 4, characterized in that, The step of determining the degree of impact on regional organisms based on biological information and the intensity of human activities specifically includes: The perception level of regional organisms is obtained by extracting bioinformation, and the degree of influence on regional organisms in the island area is obtained based on the perception level and recorded as the bioinfluence level. The degree of influence on the island region is obtained by summing the biological impact of all regional organisms in the island region, and is denoted as the regional impact degree.

6. The remote sensing monitoring data analysis method for island ecological environment according to claim 5, characterized in that, The steps of extracting the perception level of regional organisms based on biological information, determining the degree of influence on regional organisms in the island area based on the perception level, and recording it as the biological influence level are as follows: The perception level of regional organisms is obtained by extracting bioinformation, and the corresponding human activity intensity is found by looking up the preset perception-human activity intensity table and recorded as the standard intensity. The intensity of human activity in the island area is recorded as the regional intensity, and it is determined whether the regional intensity reaches the standard intensity. If the regional intensity reaches the standard intensity, the cognitive level of regional organisms is obtained based on bioinformatics. Based on the awareness of regional organisms, the degree of impact on regional organisms is analyzed and recorded as the biological impact degree; If the regional intensity does not reach the standard intensity, it is determined that the regional organisms are not affected, and the degree of biological impact is 0.

7. The remote sensing monitoring data analysis method for island ecological environment according to claim 6, characterized in that, The step of obtaining the perception level of regional organisms based on bioinformation extraction is as follows: Based on bioinformatics extraction, the minimum volume and minimum visual range that regional organisms can perceive are obtained. The average distance at which organisms in a statistical region perceive the presence of humans; Set the scaling factors for minimum volume, minimum visual range, and average distance, and obtain the perception level of organisms in the area based on the scaling factors.

8. The remote sensing monitoring data analysis method for island ecological environment according to claim 7, characterized in that, The step of obtaining the cognitive level of regional organisms based on bioinformatics extraction specifically includes: Based on bioinformatics, the learning speed and memory duration of organisms in the region are obtained; Acquire activity data of regional organisms and humans in the same area, and extract the conflict probability of conflicts 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 cognitive level of organisms in a region is assessed based on learning speed, memory duration, probability of conflict, and probability of injury.

9. The remote sensing monitoring data analysis method for island ecological environment according to claim 8, characterized in that, The step of analyzing and recording the degree of influence on regional organisms based on their awareness of the area's organisms as the biological influence level is as follows: The corresponding cognitive level is obtained by searching the preset human activity intensity-cognition level table and used as the standard cognitive level. Determine whether the awareness level of regional organisms has reached the standard awareness level. If it has not reached the standard awareness level, then obtain the conditions for regional organisms to leave the island. Determine whether the organisms in the region meet the conditions for leaving the island. If the organisms in the region do not meet the conditions for leaving the island, then calculate the area of ​​the region on the island that meets the conditions for the organisms to survive and record it as the survival area. Based on the preset survival area-biological impact curve, the biological impact is obtained; If the organisms in the region have the conditions to leave the island, then 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 counted. The biological impact degree is obtained by combining the number of organisms and the loss rate. If the awareness of regional organisms reaches the standard awareness level, the degree of change in the daily routines of regional organisms is obtained based on biological information extraction, which is used as the biological influence level.

10. A remote sensing monitoring data analysis system for island ecological environment, characterized in that, The method for analyzing remote sensing monitoring data of island ecological environment as described in any one of claims 1-9 includes: The island region module collects remote sensing monitoring data of islands, extracts tourism resource distribution maps of islands based on the remote sensing monitoring data, and divides the islands into regions based on the tourism resource distribution maps, resulting in multiple island regions; The activity intensity module extracts human activity data from remote sensing monitoring data and obtains the corresponding human activity intensity for the island area based on the human activity data. The bioinformatics module acquires and records organisms distributed in the island area as regional organisms, and remotely monitors the bioinformatics of regional organisms. The impact level module analyzes the degree of impact on regional organisms based on biological information and the intensity of human activities. The environmental quality module obtains the importance of the island area to the island's ecological environment, combines the degree of impact to obtain the environmental quality of the island's ecological environment, and sends it to the user terminal.

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