CN-120894899-B - Wetland ecological safety early warning method and system based on remote sensing analysis

Abstract

The invention provides a wetland ecological safety early warning method and system based on remote sensing analysis, which comprises the steps of firstly, acquiring a multi-dimensional remote sensing data set of target wetland region including multi-phase imaging, spectrum radiation and microwave scattering data, and obtaining an ecological process signal set through interpretation; the method comprises the steps of establishing a mapping relation model of an ecological process signal and a wetland ecological safety state, obtaining a current ecological safety state description, performing cross-process association analysis on the ecological process signal to form an ecological process abnormal conduction chain, constructing an early warning trigger node system and generating early warning rules, obtaining real-time multidimensional remote sensing data, and matching the real-time multidimensional remote sensing data with the early warning rules after interpretation to generate wetland ecological safety early warning information comprising abnormal ecological process links, abnormal conduction paths and early warning response nodes. The method can comprehensively and accurately early warn the ecological safety risk of the wetland and ensure the stability of the wetland ecological system.

Inventors

• YAO LIYAN
• JIANG FANG
• LIANG YUNLONG
• SU WENJUN
• LI WEIZHE
• LI XIAOXIN

Assignees

• 广州天地林业有限公司

Dates

Publication Date

20260508

Application Date

20250928

Claims (10)

1. 1. The wetland ecological safety early warning method based on remote sensing analysis is characterized by comprising the following steps of: Acquiring a multi-dimensional remote sensing data set of a target wetland area, and performing ecological process signal interpretation on the multi-dimensional remote sensing data set to obtain an ecological process signal set of the target wetland area, wherein the multi-dimensional remote sensing data set comprises multi-temporal imaging data, spectral radiation data and microwave scattering data of the target wetland area, and the ecological process signal set comprises hydrologic communication process signals, vegetation succession process signals and soil-water interaction process signals; Establishing a mapping relation model of ecological process signals and wetland ecological safety states, carrying out state matching on the ecological process signal set by using the mapping relation model to obtain the current ecological safety state description of a target wetland area, wherein the mapping relation model is obtained by associating and training the ecological process signals interpreted by historical remote sensing data with synchronous wetland ecological safety field investigation results; performing cross-process correlation analysis on each signal in the ecological process signal set, identifying abnormal conduction relations among different ecological process signals, determining an initial process signal, an intermediate conduction process signal and a final influence process signal of abnormal conduction, and forming an ecological process abnormal conduction chain; Based on the ecological process abnormal conduction chain and the current ecological safety state description, an early warning trigger node system is constructed, the early warning trigger node system is combined with ecological process dynamic characteristics of a target wetland area to generate a wetland ecological safety early warning rule, the early warning trigger node system comprises early warning starting conditions corresponding to each abnormal conduction link, wherein the ecological process abnormal conduction chain is disassembled specifically, each abnormal conduction link of abnormal conduction is separated, each abnormal conduction link comprises a conduction relation between a previous process signal and a next process signal, a plurality of abnormal conduction links are obtained, corresponding early warning starting conditions are set for each abnormal conduction link, each early warning starting condition comprises an ecological process signal type, an ecological process signal critical value and a triggering time, early warning starting conditions corresponding to all abnormal conduction links are integrated, initial early warning trigger nodes are formed according to the sequence of the ecological process abnormal conduction links, each initial early warning trigger node corresponds to one abnormal conduction link and corresponding starting conditions, and the early warning starting conditions of the initial early warning trigger nodes are adjusted according to the current ecological safety state description of the target wetland area, and the early warning trigger nodes are obtained after the early warning trigger nodes are adjusted; Acquiring real-time multidimensional remote sensing data of a target wetland area, performing ecological process signal interpretation on the real-time multidimensional remote sensing data to obtain a real-time ecological process signal set, and matching the real-time ecological process signal set with wetland ecological safety early warning rules to generate wetland ecological safety early warning information of the target wetland area, wherein the wetland ecological safety early warning information comprises an abnormal ecological process link, an abnormal conduction path and early warning response nodes.
2. 2. The method for ecologically pre-warning the wetland according to claim 1, wherein the acquiring the multi-dimensional remote sensing data set of the target wetland region, performing ecologically process signal interpretation on the multi-dimensional remote sensing data set, and obtaining the ecologically process signal set of the target wetland region, comprises: A multi-dimensional remote sensing data set of the target wetland area is fetched from a data storage system, wherein the multi-dimensional remote sensing data set comprises multi-temporal imaging data, spectral radiation data and microwave scattering data of the target wetland area; splitting the multi-dimensional remote sensing data set according to data types, and separating an independent multi-temporal imaging data subset, a spectrum radiation data subset and a microwave scattering data subset; Performing time sequence feature extraction on the multi-temporal imaging data subset, tracking the time-period change track of the water body boundary and the vegetation coverage area in the target wet area, and converting the time-period change track of the water body boundary and the vegetation coverage area in the target wet area into an original signal capable of reflecting the hydrologic communication state to obtain a hydrologic communication original signal; Performing band characteristic analysis on the spectrum radiation data subset, extracting spectrum parameters related to vegetation growth stages and vegetation types, and converting the spectrum parameters into original signals capable of reflecting vegetation succession states to obtain vegetation succession original signals; performing scattering coefficient inversion on the microwave scattering data subset to obtain information of soil humidity distribution and water depth change in a target wet area, and converting the information into an original signal capable of reflecting the interaction state of soil and water to obtain an original soil-water interaction signal; And performing signal purification treatment on the hydrologic communication original signal, the vegetation succession original signal and the soil water interaction original signal, and integrating the purified hydrologic communication signal, the purified vegetation succession signal and the purified soil water interaction signal according to the space partition and time sequence of the target wetland region to form an ecological process signal set of the target wetland region, wherein the ecological process signal set comprises the hydrologic communication process signal, the vegetation succession process signal and the soil water interaction process signal.
3. 3. The method of claim 2, wherein the performing the time sequence feature extraction on the multi-temporal imaging data subset, tracking the temporal variation trace of the water boundary and the vegetation coverage in the target wetland, and converting the temporal variation trace of the water boundary and the vegetation coverage in the target wetland into an original signal capable of reflecting the hydrologic communication state to obtain the hydrologic communication original signal comprises: performing radiation correction on the multi-time phase imaging data subset, extracting water reflection characteristics of each time period from the multi-time phase imaging data after the radiation correction, and identifying the water range of each time period by adopting a threshold segmentation method according to the reflectivity difference of the water and other ground features to obtain a water range diagram of a plurality of time periods; Comparing the water body range diagrams of adjacent time periods, calculating the expansion area or the contraction area of the water body range, recording the direction and the variation of the expansion or contraction variation of the water body range, and obtaining time sequence variation data of the water body range; extracting vegetation coverage reflection characteristics of each period from the multi-temporal imaging data after radiation correction, and identifying vegetation coverage areas of each period according to the near infrared high reflection characteristics of the vegetation to obtain vegetation coverage maps of a plurality of periods; Analyzing the space overlapping condition of a vegetation coverage map and a contemporaneous water body range map, and determining a water accumulation area range in a vegetation coverage area, wherein the water accumulation area range in the vegetation coverage area reflects the hydrologic communication condition in the wetland to obtain time sequence change data of the water accumulation area; Calculating the communication proportion of the water body range and the ponding area range in each period, wherein the communication proportion is the ratio of the ponding area range to the total water body range, and the communication proportion is used for reflecting the tightness degree of the hydrologic communication in the wetland; According to the sequence of the monitoring time periods, the water body range time sequence change data, the water accumulation area time sequence change data and the communication proportion data are arranged and converted into continuous signals with the monitoring time periods as indexes and the change amount or the proportion value as a signal value, so that the hydrologic communication original signals are obtained.
4. 4. The method for early warning of ecological safety of a wetland based on remote sensing analysis according to claim 1, wherein the establishing a mapping relation model of ecological process signals and ecological safety states of the wetland, performing state matching on the ecological process signal set by using the mapping relation model, and obtaining a current ecological safety state description of a target wetland region comprises the following steps: collecting historical remote sensing data of a plurality of historical wetland areas, wherein the historical remote sensing data comprises historical multi-temporal imaging data, historical spectral radiation data and historical microwave scattering data of each historical wetland area; interpreting the ecological process signals of the historical remote sensing data to obtain historical ecological process signal sets of all the historical wetland areas, wherein the historical ecological process signal sets comprise historical hydrologic communication process signals, historical vegetation succession process signals and historical soil water interaction process signals; Collecting wetland ecological safety field investigation results of each historical wetland area in a period corresponding to the historical remote sensing data, wherein the wetland ecological safety field investigation results comprise hydrologic system integrity assessment, vegetation community stability assessment and soil water interactive health assessment; Binding a historical ecological process signal set of each historical wetland area with a contemporaneous wetland ecological safety field investigation result to form a plurality of groups of historical associated data, wherein each group of historical associated data comprises a group of historical ecological process signals and a corresponding wetland ecological safety state evaluation result; Dividing the multiple groups of history associated data into a training data set and a verification data set, wherein the training data set is used for training the mapping relation model parameters, and the verification data set is used for verifying the effect of the mapping relation model; An infrastructure of a mapping relation model is built, the infrastructure comprises a signal input module, a characteristic association module and a state output module, a historical ecological process signal in a training data set is input into the signal input module, an association relation between characteristics of the historical ecological process signal and a wetland ecological safety state assessment result is built through the characteristic association module, and an ecological safety state prediction result is output through the state output module; carrying out iterative optimization on association relation parameters of the mapping relation model infrastructure by using a training data set, so that deviation between an ecological safety state prediction result output by a state output module and an actual wetland ecological safety field investigation result in the training data set is gradually reduced; using a verification data set to verify the optimized mapping relation model, inputting a historical ecological process signal in the verification data set into the optimized mapping relation model, comparing a predicted result output by the optimized mapping relation model with an actual wetland ecological safety field investigation result in the verification data set, and if the deviation is in a preset acceptable range, completing training of the mapping relation model to obtain a mapping relation model of an ecological process signal and a wetland ecological safety state; Inputting the ecological process signal set of the target wetland region into the mapping relation model, calculating the matching degree of the hydrologic communication process signal, the vegetation succession process signal and the soil water interaction process signal in the ecological process signal set and different ecological safety states through the characteristic association module, and outputting the ecological safety state with the highest matching degree through the state output module to obtain the current ecological safety state description of the target wetland region.
5. 5. The method for early warning of wetland ecological safety based on remote sensing analysis according to claim 4, wherein binding the historical ecological process signal set of each historical wetland region with the contemporaneous wetland ecological safety field investigation result to form a plurality of sets of historical associated data comprises: Dividing a continuous historical ecological process signal set into historical ecological process signal subsets of a plurality of time periods according to fixed time intervals, wherein each historical ecological process signal subset corresponds to a specific monitoring time period; Collecting wetland ecological safety field investigation results of each historical wetland area in each monitoring period, performing feature extraction on a subset of historical ecological process signals of each monitoring period, and extracting the average intensity of the historical hydrologic communication process signals, the change rate of the historical vegetation succession process signals and the distribution uniformity of the historical soil water interaction process signals in the monitoring period to obtain a historical signal feature set of the monitoring period; performing quantitative treatment on the contemporaneous wetland ecological safety field investigation result, and respectively converting the hydrologic system integrity evaluation, vegetation community stability evaluation and soil water interactive health evaluation into quantitative scores to obtain a safety state quantitative score group of the monitoring period, wherein the quantitative score of each evaluation dimension corresponds to a set numerical range; Binding a historical signal characteristic group and a security state quantization scoring group in the same monitoring period to form a group of historical associated data; And executing time period splitting, wetland ecological safety field investigation result collection, historical signal feature group extraction, safety state quantification evaluation group quantification and data binding operation on all monitoring time periods of all historical wetland areas to obtain a plurality of groups of historical associated data.
6. 6. The method of claim 1, wherein the performing cross-process correlation analysis on each signal in the set of ecological process signals, identifying abnormal conduction relationships between different ecological process signals, determining an initial process signal, an intermediate process signal and a final influencing process signal of abnormal conduction, and forming an ecological process abnormal conduction chain comprises: Extracting hydrologic communication process signals, vegetation succession process signals and soil water interaction process signals in the ecological process signal set, and generating time sequence change curves of the hydrologic communication process signals, the vegetation succession process signals and the soil water interaction process signals, wherein the time sequence change curves take a monitoring time period as a horizontal axis and signal intensity as a vertical axis; calculating the time sequence association degree between the hydrologic communication process signals and the vegetation succession process signals, calculating the time sequence association degree between the hydrologic communication process signals and the soil water interaction process signals, and calculating the time sequence association degree between the vegetation succession process signals and the soil water interaction process signals, wherein the time sequence association degree is used for reflecting the consistency of the variation trend of the two ecological process signals in the same period; The method comprises the steps of calling a standard association degree range between a hydrologic communication process signal and a vegetation succession process signal in a normal wetland ecosystem, between the hydrologic communication process signal and a soil water body interaction process signal, and between the vegetation succession process signal and the soil water body interaction process signal, wherein the standard association degree range is obtained through statistics of a large number of historical monitoring data of the wetland in a normal state; comparing the calculated actual time sequence association degree with a corresponding standard association degree range, and marking abnormal association combinations exceeding the standard association degree range, wherein each abnormal association combination comprises two ecological process signals with abnormal association; For each abnormal association combination, tracing the abnormal change starting time of two ecological process signals with abnormal association, determining the ecological process signals with abnormal change as potential starting process signals, and determining the ecological process signals with abnormal change as potential affected process signals; Analyzing the association of the potential initial process signal with other ecological process signals, and if the potential initial process signal affects a third ecological process signal through the marked potential affected process signal in addition to the marked potential affected process signal, determining the marked potential affected process signal as an intermediate conductive process signal, and determining the third ecological process signal as a final affected process signal; If the potential initial process signals directly influence the two other ecological process signals, respectively determining the intermediate conduction process signals and the final influence process signals according to the affected sequence of the two other ecological process signals; And connecting the determined initial process signal, the determined intermediate conduction process signal and the determined final influence process signal according to the sequence of abnormal conduction to form an ecological process abnormal conduction chain, wherein the ecological process abnormal conduction chain presents a complete conduction path from the initial link to the final influence link in an abnormal manner.
7. 7. The method for early warning of wetland ecology safety based on remote sensing analysis according to claim 6, wherein comparing the calculated actual time sequence association degree with the corresponding standard association degree range, marking abnormal association combinations exceeding the standard association degree range, comprises: Retrieving a first standard association degree range of a hydrologic communication process signal and a vegetation succession process signal in a normal wetland ecosystem, a second standard association degree range of the hydrologic communication process signal and a soil water body interaction process signal and a third standard association degree range of the vegetation succession process signal and the soil water body interaction process signal from a data storage system; comparing the calculated actual time sequence association degree of the hydrologic communication process signal and the vegetation succession process signal with a first standard association degree range, and judging that the association combination is an abnormal association combination and marking the abnormal association combination as a first abnormal association combination if the actual time sequence association degree of the hydrologic communication process signal and the vegetation succession process signal is smaller than the lower limit of the first standard association degree range or larger than the upper limit of the first standard association degree range, wherein the first abnormal association combination comprises the hydrologic communication process signal and the vegetation succession process signal; comparing the calculated actual time sequence association degree of the hydrologic communication process signal and the soil water body interaction process signal with a second standard association degree range, and if the actual time sequence association degree of the hydrologic communication process signal and the soil water body interaction process signal exceeds the upper limit and the lower limit of the second standard association degree range, judging that the association combination is an abnormal association combination, marking the association combination as a second abnormal association combination, wherein the second abnormal association combination comprises the hydrologic communication process signal and the soil water body interaction process signal; Comparing the calculated actual time sequence association degree of the vegetation succession process signal and the soil water body interaction process signal with a third standard association degree range, if the actual time sequence association degree of the vegetation succession process signal and the soil water body interaction process signal exceeds the upper limit and the lower limit of the third standard association degree range, judging that the association combination is an abnormal association combination, marking the association combination as a third abnormal association combination, wherein the third abnormal association combination comprises the vegetation succession process signal and the soil water body interaction process signal; Recording an actual time sequence association degree value of each abnormal association combination, a corresponding standard association degree range and an amplitude exceeding the standard association degree range; Analyzing the relation between the exceeding amplitude of each abnormal association combination and the change trend of the ecological process signal, marking potential abnormal association combinations and confirming the abnormal association combinations according to the analysis result; and integrating the first abnormal association combination, the second abnormal association combination and the third abnormal association combination of all the marks, distinguishing potential abnormal association combinations from confirmed abnormal association combinations, and forming an abnormal association combination list, wherein each abnormal association combination comprises two ecological process signals with abnormal association and abnormal degree descriptions.
8. 8. The method for early warning of ecological safety of a wetland based on remote sensing analysis according to claim 1, wherein the constructing an early warning trigger node system based on the ecological process abnormal conduction chain and the current ecological safety state description, combining the early warning trigger node system with ecological process dynamic characteristics of a target wetland area, generating an early warning rule of ecological safety of the wetland comprises: disassembling the ecological process abnormal conduction chain, and separating out abnormal conduction links of abnormal conduction, wherein each abnormal conduction link comprises a conduction relation between a previous process signal and a next process signal, so as to obtain a plurality of abnormal conduction links; For each abnormal conduction link, determining an abnormal change critical value of a previous process signal and a response change critical value of a subsequent process signal in the abnormal conduction link, wherein the abnormal change critical value is a critical value of the previous process signal deviating from a normal range, and the response change critical value is a critical value of the subsequent process signal deviating from the normal range after being influenced; Setting the conditions that the former process signal reaches an abnormal change critical value and the latter process signal starts to approach to a response change critical value as early warning starting conditions corresponding to the abnormal conduction link, wherein each early warning starting condition comprises an ecological process signal type, an ecological process signal critical value and a triggering time; integrating early warning starting conditions corresponding to all abnormal conduction links, and arranging according to the sequence of the abnormal conduction links in the ecological process to form initial early warning trigger nodes, wherein each initial early warning trigger node corresponds to one abnormal conduction link and the corresponding early warning starting condition; Adjusting early warning starting conditions of the initial early warning trigger nodes according to the current ecological safety state description of the target wetland area to obtain adjusted early warning trigger nodes; extracting ecological process dynamic characteristics of a target wetland area, wherein the ecological process dynamic characteristics comprise a season fluctuation rule of a hydrologic communication process, a growth cycle rule of a vegetation succession process and an annual change rule of a soil water interaction process; Analyzing the adaptation condition of the early warning starting condition of each adjusted early warning trigger node and the ecological process dynamic characteristic of the target wetland area, if the ecological process signal critical value in the early warning starting condition of the adjusted early warning trigger node conflicts with the season fluctuation law, adjusting the ecological process signal critical value in a sectionalized manner according to seasons, and supplementing the early warning effective period for each adjusted early warning trigger node; Integrating the adjusted early warning starting conditions, the early warning effective time periods and the corresponding abnormal conduction links to form an early warning trigger node system, wherein the early warning trigger node system comprises early warning starting conditions and time efficiency requirements corresponding to each abnormal conduction link; And associating each early warning trigger node in the early warning trigger node system with a space partition of the target wetland region to define early warning trigger nodes corresponding to different space partitions, integrating the early warning trigger node information of all the space partitions, and generating a wetland ecological safety early warning rule, wherein the wetland ecological safety early warning rule comprises the space partition, the early warning trigger nodes, early warning starting conditions and early warning effective time periods.
9. 9. The method for ecologically and safely pre-warning the wetland based on remote sensing analysis according to claim 8, wherein the associating each pre-warning trigger node in the pre-warning trigger node system with a spatial partition of a target wetland region to define pre-warning trigger nodes corresponding to different spatial partitions, integrating pre-warning trigger node information of all the spatial partitions, and generating a rule for ecologically and safely pre-warning the wetland comprises: Dividing the target wetland region into a plurality of space partitions according to the topography and topography characteristics and the ecological function differences of the target wetland region, wherein each space partition has relatively uniform ecological process characteristics; Collecting historical ecological process signal data in each space partition, and analyzing the normal range of the hydrologic communication process signal, the vegetation succession process signal and the soil water interaction process signal in the space partition to obtain the normal range of the ecological process signal of each space partition; Analyzing each early warning trigger node in the early warning trigger node system, and extracting an early warning starting condition corresponding to the early warning trigger node, wherein the early warning starting condition comprises the related ecological process signal type, the ecological process signal critical value and the triggering time; Comparing the ecological process signal critical value in the early warning starting condition of each early warning trigger node with the ecological process signal normal range of each space partition, and if the ecological process signal normal range of any one space partition is matched with the ecological process signal critical value in the early warning starting condition of the early warning trigger node, associating the early warning trigger node to the space partition; Counting all early warning trigger nodes associated with each space partition, sequencing all the early warning trigger nodes associated with the space partition according to the sequence of the ecological process abnormal conduction chain, and determining the monitoring priority of each early warning trigger node in the space partition; supplementing the geographical boundary coordinates of each space partition and the associated early warning trigger nodes of the space partition, and supplementing the early warning adjustment parameters corresponding to the space partition by combining the ecological process dynamic characteristics of the space partition for the early warning trigger nodes of each space partition; Integrating the geographic boundary coordinates of each space partition, the associated early warning trigger node, the monitoring priority of the early warning trigger node and the early warning adjustment parameters to form an early warning sub-rule of each space partition; Collecting the early warning sub-rules of all the space partitions, and integrally sequencing the early warning sub-rules of all the space partitions according to the ecological function priorities of the space partitions; integrating the sequenced early warning sub-rules of all the space partitions, supplementing an integral early warning response flow framework to determine the response sequence when the early warning trigger nodes of a plurality of the space partitions trigger simultaneously, and generating a wetland ecological safety early warning rule, wherein the wetland ecological safety early warning rule comprises space partition information, early warning trigger node information, early warning adjustment parameters and response sequence.
10. 10. The wetland ecological safety precaution system based on remote sensing analysis is characterized by comprising a processor and a memory, wherein the memory is connected with the processor, the memory is used for storing programs, instructions or codes, and the processor is used for running the programs, instructions or codes in the memory so as to realize the wetland ecological safety precaution method based on remote sensing analysis according to any one of claims 1-9.

Description

Wetland ecological safety early warning method and system based on remote sensing analysis Technical Field The invention relates to the technical field of wetland ecological protection and management, in particular to a wetland ecological safety early warning method and system based on remote sensing analysis. Background In the field of wetland ecological protection and management, the wetland ecological safety precaution is an important link for guaranteeing the stable and sustainable development of the wetland ecological system. The traditional wetland ecological safety monitoring and early warning method has a plurality of limitations. On one hand, the data acquisition mode is single and one-sided. In the past, the method mainly relies on field sampling and manual observation to acquire the ecological information of the wetland, and the method not only consumes a great deal of manpower, material resources and time, but also is difficult to comprehensively and accurately reflect the ecological condition of the whole wetland because the wetland has wide region and complex environment and the field sampling and observation can only acquire the limited information of the local region. For example, for the key ecological processes such as hydrologic communication condition, vegetation succession dynamic and soil-water interaction process of a large-area wetland, real-time, continuous and comprehensive monitoring is difficult to realize by field observation. On the other hand, the existing early warning method lacks in-depth analysis of complex relationships between ecological processes. The wetland ecosystem is a complex whole, and all the ecological processes are related and affected. However, conventional early warning methods typically analyze individual ecological indicators in isolation, without considering the conduction relationships and interaction mechanisms between different ecological process signals. The method has the advantages that the root and the conduction path of the ecological abnormality cannot be accurately identified when the wetland ecosystem is subjected to complex changes, and the potential ecological safety risk is difficult to discover in advance, so that effective early warning and countermeasure measures cannot be timely adopted, the accuracy and the timeliness of the wetland ecological safety early warning are greatly reduced, and the protection and the restoration of the wetland ecosystem are not facilitated. Disclosure of Invention In view of the above-mentioned problems, in combination with the first aspect of the present invention, an embodiment of the present invention provides a method for early warning of ecological safety of a wetland based on remote sensing analysis, the method comprising: Acquiring a multi-dimensional remote sensing data set of a target wetland area, and performing ecological process signal interpretation on the multi-dimensional remote sensing data set to obtain an ecological process signal set of the target wetland area, wherein the multi-dimensional remote sensing data set comprises multi-temporal imaging data, spectral radiation data and microwave scattering data of the target wetland area, and the ecological process signal set comprises hydrologic communication process signals, vegetation succession process signals and soil-water interaction process signals; Establishing a mapping relation model of ecological process signals and wetland ecological safety states, carrying out state matching on the ecological process signal set by using the mapping relation model to obtain the current ecological safety state description of a target wetland area, wherein the mapping relation model is obtained by associating and training the ecological process signals interpreted by historical remote sensing data with synchronous wetland ecological safety field investigation results; performing cross-process correlation analysis on each signal in the ecological process signal set, identifying abnormal conduction relations among different ecological process signals, determining an initial process signal, an intermediate conduction process signal and a final influence process signal of abnormal conduction, and forming an ecological process abnormal conduction chain; Based on the ecological process abnormal conduction chain and the current ecological safety state description, constructing an early warning trigger node system, combining the early warning trigger node system with ecological process dynamic characteristics of a target wetland area to generate a wetland ecological safety early warning rule, wherein the early warning trigger node system comprises early warning starting conditions corresponding to each abnormal conduction link; Acquiring real-time multidimensional remote sensing data of a target wetland area, performing ecological process signal interpretation on the real-time multidimensional remote sensing data to obtain a real-time ecological process signal