'Five-base' synergistic biodiversity three-dimensional remote sensing monitoring system and method

Abstract

The invention provides a five-base cooperative biodiversity stereoscopic remote sensing monitoring system and method, and belongs to the technical field of data processing, and the method comprises the steps: generating first biological data based on remote sensing image information obtained through space-based satellite shooting; generating second biological data based on remote sensing image information shot by the unmanned aerial vehicle; generating third biological data based on the monitoring data acquired by the iron tower group; generating fourth biological data based on the monitoring data acquired by the mobile patrol vehicle; generating fifth biological data based on monitoring data acquired by ground fixed-point observation equipment; fusing the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data; determining a core monitoring index based on the integrated biological data; and determining a biodiversity analysis result based on the core monitoring index. According to the scheme, the index richness and the monitoring accuracy of biodiversity monitoring can be improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a "five-base" coordinated biodiversity stereoscopic remote sensing monitoring system and method. Background Art

[0002] Biodiversity conservation is one of the most important environmental issues that the international community is concerned about today. The continuous advancement of biodiversity conservation work requires long-term and continuous monitoring of the status and changes of biodiversity.

[0003] At present, biodiversity monitoring still mainly relies on traditional ground species survey and monitoring methods, such as sampling method, mark-recapture method, trap method, etc. These methods are time-consuming, labor-intensive, and inefficient. They are destructive and difficult to meet the needs of large-scale surveys. They are easily affected by survey level, climate, and terrain factors. The continuity of survey time and representativeness in space are difficult to guarantee, resulting in inaccurate monitoring results.

[0004] Therefore, how to reduce labor costs and improve the accuracy of biodiversity monitoring results has become a technical problem that needs to be solved urgently. Summary of the invention

[0005] The present invention provides a "five-base" coordinated biodiversity three-dimensional remote sensing monitoring system and method, which is used to solve the problems of high labor cost and low accuracy of monitoring results in the prior art biodiversity monitoring methods.

[0006] The present invention provides a "five-base" coordinated biodiversity stereoscopic remote sensing monitoring method, comprising the following steps.

[0007] Generate first biological data based on remote sensing image information obtained by space-based satellite photography; Generate second biological data based on remote sensing image information obtained by drone photography; Generate third biological data based on the monitoring data collected by the tower group; Generate fourth biological data based on the monitoring data collected by the mobile patrol vehicle; Generate fifth biological data based on monitoring data collected by ground fixed-point observation equipment; fusing the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data; Determining core monitoring indicators based on the integrated biological data; Based on the core monitoring indicators, determine the biodiversity analysis results.

[0008] According to a "five-base" coordinated biodiversity stereoscopic remote sensing monitoring method provided by the present invention, the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data are fused to obtain integrated biological data, including: Normalizing the first biological data, the second biological data, the third biological data, the fourth biological data, and the fifth biological data to obtain first normalized biological data, second normalized biological data, third normalized biological data, fourth normalized biological data, and fifth normalized biological data; The first normalized biological data, the second normalized biological data, the third normalized biological data, the fourth normalized biological data and the fifth normalized biological data are subjected to spatiotemporal fusion processing to obtain integrated biological data.

[0009] According to a "five-base" coordinated biodiversity stereoscopic remote sensing monitoring method provided by the present invention, the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data are normalized to obtain first normalized biological data, second normalized biological data, third normalized biological data, fourth normalized biological data and fifth normalized biological data, including: Parsing the remote sensing image data in the first biological data, the second biological data, the third biological data, the fourth biological data, and the fifth biological data to obtain first parsed data, second parsed data, third parsed data, fourth parsed data, and fifth parsed data; Performing rough geometric correction on the first analytical data, the second analytical data, the third analytical data, the fourth analytical data and the fifth analytical data to obtain first corrected data, second corrected data, third corrected data, fourth corrected data and fifth corrected data; Based on the contour features and grayscale features of the first corrected data, the second corrected data, the third corrected data, the fourth corrected data and the fifth corrected data, multi-scale hierarchical automatic matching is performed to obtain first normalized biological data, second normalized biological data, third normalized biological data, fourth normalized biological data and fifth normalized biological data accordingly.

[0010] According to a "five-base" coordinated biodiversity stereoscopic remote sensing monitoring method provided by the present invention, the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data are normalized to obtain first normalized biological data, second normalized biological data, third normalized biological data, fourth normalized biological data and fifth normalized biological data, including: Based on the reference remote sensing data, downsampling the remote sensing image data in the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data is processed into a geometric consistency to obtain first sampling data, second sampling data, third sampling data, fourth sampling data and fifth sampling data; Based on preset knowledge constraints, perform multivariate change detection on the first sampling data, the second sampling data, the third sampling data, the fourth sampling data, and the fifth sampling data, and screen out first detection data, second detection data, third detection data, fourth detection data, and fifth detection data; Based on the invariant feature points, an orthogonal regression method is used to establish a relationship model between the reference remote sensing data and the first detection data, the second detection data, the third detection data, the fourth detection data, and the fifth detection data; Based on each of the relationship models, radiation correction is performed on the first detection data, the second detection data, the third detection data, the fourth detection data and the fifth detection data, respectively, to obtain first normalized biological data, second normalized biological data, third normalized biological data, fourth normalized biological data and fifth normalized biological data accordingly.

[0011] The present invention also provides a "five-base" coordinated biodiversity three-dimensional remote sensing monitoring device, comprising the following modules: A first generating module is used to generate first biological data based on remote sensing image information obtained by space-based satellite photography; The second generating module is used to generate second biological data based on remote sensing image information obtained by drone photography; The third generation module is used to generate third biological data based on the monitoring data collected by the tower group; A fourth generating module is used to generate fourth biological data based on the monitoring data collected by the mobile patrol vehicle; A fifth generating module, used to generate fifth biological data based on the monitoring data collected by the ground fixed-point observation equipment; a data fusion module, used to: fuse the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data; An indicator determination module, used to: determine core monitoring indicators based on the integrated biological data; The result analysis module is used to determine the biodiversity analysis results based on the core monitoring indicators.

[0012] The present invention also provides a "five-base" coordinated biodiversity three-dimensional remote sensing monitoring system, comprising: Space-based satellite subsystem, used to capture and obtain remote sensing image information; Drones are used to capture and obtain remote sensing image information; Tower groups, used to collect monitoring data; Mobile patrol vehicles are used to collect monitoring data; Multiple ground fixed-point observation equipment for collecting and obtaining monitoring data; A processor is used to generate first biological data based on remote sensing image information obtained by space-based satellite photography; generate second biological data based on remote sensing image information obtained by drone photography; generate third biological data based on monitoring data collected by a group of towers; generate fourth biological data based on monitoring data collected by a mobile patrol vehicle; generate fifth biological data based on monitoring data collected by ground fixed-point observation equipment; fuse the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data; determine core monitoring indicators based on the integrated biological data; and determine biodiversity analysis results based on the core monitoring indicators.

[0013] According to a "five-base" collaborative biodiversity stereoscopic remote sensing monitoring system provided by the present invention, the ground fixed-point observation equipment includes at least one of a high-definition camera, a visible-infrared camera, a bird soundprint meter, a ground imaging spectrometer, a hyperspectral imager, a hyperspectral camera, a lidar, a thermal infrared camera, a total station, and a GPS.

[0014] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the "five-base" coordinated biodiversity stereoscopic remote sensing monitoring method as described in any one of the above is implemented.

[0015] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the "five-base" coordinated biodiversity stereoscopic remote sensing monitoring method as described in any one of the above is implemented.

[0016] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned "five-base" coordinated biodiversity stereoscopic remote sensing monitoring methods.

[0017] The "five-base" coordinated biodiversity stereoscopic remote sensing monitoring system and method provided by the present invention generates first biological data based on remote sensing image information obtained by space-based satellite photography; generates second biological data based on remote sensing image information obtained by drone photography; generates third biological data based on monitoring data collected by a group of towers; generates fourth biological data based on monitoring data collected by mobile patrol vehicles; generates fifth biological data based on monitoring data collected by ground fixed-point observation equipment; fuses the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data; determines core monitoring indicators based on the integrated biological data; and determines biodiversity analysis results based on the core monitoring indicators. Space-based satellite remote sensing can meet the needs of biodiversity monitoring with long-term continuous series, large-scale spatial coverage and high retrospective consistency; aerial drone remote sensing can reach remote areas with rich biodiversity, and has the advantages of high accessibility, high precision, rapid response, and real-time data transmission; air-based (tower group) remote sensing can be customized and deployed according to the status of biodiversity, and has the advantages of rich data, high precision, high frequency, continuous real-time, and rapid response; mobile patrol monitoring vehicle observation can carry a variety of remote sensing monitoring payloads, and has the advantages of high precision, high efficiency, high mobility, and can be linked with patrol supervision; ground fixed-point observation has a wealth of observation equipment, which can carry out long-term uninterrupted monitoring of biodiversity, with high monitoring accuracy, and can achieve all-weather continuous monitoring; This scheme combines the monitoring data obtained by space-based satellite remote sensing, aerial drone remote sensing, air-based (tower-based) remote sensing, mobile patrol monitoring vehicle observation, and ground fixed-point observation, fully combining their respective advantages and monitoring characteristics in biodiversity monitoring, reducing labor costs, ensuring the continuity of monitoring time and representativeness in space, and greatly improving the richness of indicators and monitoring accuracy of biodiversity monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 It is one of the flow charts of the "five bases" coordinated biodiversity stereoscopic remote sensing monitoring method provided by the present invention.

[0020] Figure 2 This is the second flow chart of the "five bases" coordinated biodiversity stereoscopic remote sensing monitoring method provided by the present invention.

[0021] Figure 3This is the third flow chart of the "five bases" coordinated biodiversity stereoscopic remote sensing monitoring method provided by the present invention.

[0022] Figure 4 It is a schematic diagram of the flow of the geometric normalization method provided by the present invention.

[0023] Figure 5 It is a schematic flow chart of the radiation normalization method provided by the present invention.

[0024] Figure 6 It is a structural schematic diagram of the "five bases" coordinated biodiversity stereoscopic remote sensing monitoring system provided by the present invention.

[0025] Figure 7 It is a structural schematic diagram of the "five bases" coordinated biodiversity stereoscopic remote sensing monitoring device provided by the present invention.

[0026] Figure 8 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] It should be noted that in the description of the embodiments of the present invention, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "include one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements. The orientation or position relationship indicated by the terms "upper", "lower" and the like is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or it can be a connection between two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0029] The terms "first", "second", etc. in this application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0030] Biodiversity conservation is one of the most important environmental issues that the international community is concerned about today. The continuous advancement of biodiversity conservation requires long-term and continuous monitoring of the status and changes of biodiversity. At present, biodiversity monitoring still mainly relies on traditional ground species survey and monitoring methods, which are time-consuming, labor-intensive, and inefficient. They are somewhat destructive and difficult to meet the needs of large-scale surveys. They are easily affected by survey levels, climate, and terrain factors. The continuity of survey time and representativeness in space are difficult to guarantee. There is insufficient support for scientific and technological innovation and technical equipment. Although the monitoring network covers a wide range of sites, the data quality is uneven. The quality and sharing level of biodiversity monitoring data are not high, which cannot meet the requirements of high-precision three-dimensional real-time monitoring of biodiversity for biodiversity conservation in the new era.

[0031] In view of the above problems, the present invention proposes the following embodiments. Figure 1-Figure 8 The present invention describes the "five-base" coordinated biodiversity stereoscopic remote sensing monitoring system and method provided by the embodiments of the present invention.

[0032] Figure 1 This is one of the flow charts of the "five bases" coordinated biodiversity stereoscopic remote sensing monitoring method provided by the present invention, such as Figure 1 As shown, the method includes the following: S110, generating first biological data based on remote sensing image information obtained by space-based satellite photography; S120, generating second biological data based on remote sensing image information obtained by the drone; S130, generating third biological data based on the monitoring data collected by the tower group; S140, generating fourth biological data based on the monitoring data collected by the mobile patrol vehicle; S150, generating fifth biological data based on monitoring data collected by ground fixed-point observation equipment; S160, fusing the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data; S170, determining core monitoring indicators based on the integrated biological data; S180, determining biodiversity analysis results based on the core monitoring indicators.

[0033] It should be noted that the executor of the "five-base" coordinated biodiversity stereoscopic remote sensing monitoring method provided in the embodiment of the present invention can be a server, computer equipment, such as a mobile phone, tablet computer, laptop computer, PDA, vehicle-mounted electronic equipment, ultra-mobile personal computer (UMPC), netbook or personal digital assistant (PDA), etc.

[0034] Figure 1 This is one of the flow diagrams of the "five bases" coordinated biodiversity stereoscopic remote sensing monitoring method provided by the present invention; Figure 2 This is the second flow chart of the "five bases" coordinated biodiversity stereoscopic remote sensing monitoring method provided by the present invention; Figure 3 This is the third flow chart of the "five bases" coordinated biodiversity stereoscopic remote sensing monitoring method provided by the present invention; like Figure 1-Figure 3As shown, in S110, ecosystems and habitats of plant and animal species are monitored on a large scale through space-based satellite remote sensing. Specifically, in view of the needs of stereoscopic observation of biodiversity, protection and management of important species and habitats, high-resolution space-based satellites equipped with visible light cameras, multispectral cameras, hyperspectral cameras, thermal infrared cameras, radars and other payloads can effectively obtain remote sensing image information such as full chromatographic segments, multispectral segments, infrared segments, etc., and use classification models, parameter calculation and other methods to monitor the spatial distribution of ecosystems such as forest grasslands and wetlands with large-scale coverage and spatiotemporal continuity, the habitat range and parameter products of species such as birds and animals (such as normalized vegetation index NDVI, fractional vegetation cover FVC, gross primary productivity GPP, etc.), and environmental parameter products (evapotranspiration ET, absorbed photosynthetically active radiation APAR, etc.). Data collected by space-based satellites are cleaned to achieve standardization and unification of multi-source heterogeneous data and generate standardized first biological data.

[0035] In S120, aerial drone remote sensing is used to flexibly monitor the distribution of plant and animal species at a small scale with high precision. Specifically, aerial drone remote sensing equipped with high-precision sensors such as high-resolution cameras, multispectral cameras, hyperspectral cameras, airborne laser radars, and thermal infrared imagers can obtain centimeter-level high-precision multispectral, hyperspectral, laser radar, thermal infrared and other remote sensing images, and use image recognition models and index calculation methods to monitor the spatial distribution of plant and animal species and ecological parameters at a small scale with high precision. At the same time, a low-altitude drone biodiversity monitoring network is established to conduct regular drone inspections, forming a short-cycle, high-accessibility, high-coverage, minute-level rapid response, real-time data return, and networking linkage low-altitude drone animal and plant species monitoring business capabilities. Data cleaning is performed on the data collected by aerial drones to achieve standardization and unification of multi-source heterogeneous data and generate standardized secondary biological data.

[0036] In S130, air-based (tower-based) remote sensing is used to monitor the distribution and activities of plant and animal species in real time in all directions. Specifically, air-based remote sensing near-ground observation equipment is deployed based on the tower group, including visible-infrared cameras, bird soundprint meters, video cameras, high-precision multispectral cameras, hyperspectral cameras, lidar, thermal infrared cameras and other payloads, and a data transmission system is built. Using methods such as target detection, all-round, high-precision, and real-time intelligent tracking and monitoring of wild animal species, numbers, and spatial distribution conditions are carried out, and the spatial resolution of vegetation species distribution monitoring is increased from ten meters to meters and sub-meters, and the time resolution is increased to hours. It can monitor vegetation conditions more timely and accurately, and realize timely discovery and early warning of vegetation anomalies. Data cleaning is carried out on the data collected by the tower group to achieve standardization and unification of multi-source heterogeneous data and generate standardized third biological data.

[0037] In S140, remote sensing supplementary monitoring and emergency monitoring of plant and animal species distribution and activities are carried out through mobile patrol vehicles. Specifically, the integrated intelligent monitoring system on mobile patrol vehicles that integrates multiple payloads (including laser radar, multi-spectral camera, hyperspectral imager, chlorophyll fluorescence detector, infrared camera, voiceprint recognition device, etc.) is used as a supplementary method and emergency means. Through cruise observation technology, it flexibly monitors the biodiversity conditions such as vegetation growth conditions, human interference activities, and animal activities on both sides of the road. It monitors while moving, and has the advantages of rich monitoring information (including multi-factor two-dimensional and three-dimensional information), high monitoring accuracy and efficiency, and can be linked with patrol law enforcement. It can achieve large-scale, rapid and continuous monitoring near the ground, and can fill the space-time blind spots of space-based satellite and air-based remote sensing monitoring. Data cleaning is carried out for the data collected by the mobile patrol vehicle to achieve standardization and unification of multi-source heterogeneous data and generate standardized fourth biological data.

[0038] In S150, the remote sensing monitoring results of the Sky Tower are corrected and verified through ground fixed-point observation. Specifically, high-definition cameras, visible-infrared cameras, bird soundprints, ground imaging spectrometers, hyperspectral imagers, hyperspectral cameras, lidars (handheld, ground-based), thermal infrared cameras, total stations, GPS, field meteorology, soil, vegetation and other sampling equipment, portable field direct measurement equipment, precision instrument calibration equipment, etc. are integrated, and image analysis, spectral analysis, biology and other methods are used to conduct all-weather, multi-load, automatic monitoring of plant communities, animal activities and important habitats, achieve refined monitoring of plant and animal diversity, and fully cover species morphology, spectrum, acoustics and other characteristics, and then correct and verify the remote sensing monitoring results of the Sky Tower. Data cleaning is performed on the data collected by ground fixed-point observation equipment to achieve standardization and unification of multi-source heterogeneous data and generate standardized fifth biological data.

[0039] It should be noted that there is no strict timing relationship restriction among S110 , S120 , S130 , S140 and S150 , that is, the execution order of S110 , S120 , S130 , S140 and S150 is not limited.

[0040] In S170, indicator extraction is to extract species information and habitat information through multi-source heterogeneous integrated data sets, and combine machine learning, spatial analysis, species distribution models, ecological network models and other simulations to obtain core monitoring indicators (EBV) and important habitat factors.

[0041] In S180, indicator analysis is to generate a biodiversity analysis report by analyzing the spatiotemporal changes of core biodiversity monitoring indicators and combining them with auxiliary data.

[0042] The "five-base" coordinated biodiversity stereoscopic remote sensing monitoring method provided by the present invention generates first biological data based on remote sensing image information obtained by space-based satellite photography; generates second biological data based on remote sensing image information obtained by drone photography; generates third biological data based on monitoring data collected by a group of towers; generates fourth biological data based on monitoring data collected by a mobile patrol vehicle; generates fifth biological data based on monitoring data collected by ground fixed-point observation equipment; fuses the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data; determines core monitoring indicators based on the integrated biological data; and determines biodiversity analysis results based on the core monitoring indicators. Space-based satellite remote sensing can meet the needs of biodiversity monitoring with long-term continuous series, large-scale spatial coverage and high retrospective consistency; aerial drone remote sensing can reach remote areas with rich biodiversity, and has the advantages of high accessibility, high precision, rapid response, and real-time data transmission; air-based (tower group) remote sensing can be customized and deployed according to the status of biodiversity, and has the advantages of rich data, high precision, high frequency, continuous real-time, and rapid response; mobile patrol monitoring vehicle observation can carry a variety of remote sensing monitoring payloads, and has the advantages of high precision, high efficiency, high mobility, and can be linked with patrol supervision; ground fixed-point observation has a wealth of observation equipment, which can carry out long-term uninterrupted monitoring of biodiversity, with high monitoring accuracy, and can achieve all-weather continuous monitoring; This scheme combines the monitoring data obtained by space-based satellite remote sensing, aerial drone remote sensing, air-based (tower-based) remote sensing, mobile patrol monitoring vehicle observation, and ground fixed-point observation, fully combining their respective advantages and monitoring characteristics in biodiversity monitoring, reducing labor costs, ensuring the continuity of monitoring time and representativeness in space, and greatly improving the richness of indicators and monitoring accuracy of biodiversity monitoring.

[0043] In an optional embodiment, the fusing the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data includes: Normalizing the first biological data, the second biological data, the third biological data, the fourth biological data, and the fifth biological data to obtain first normalized biological data, second normalized biological data, third normalized biological data, fourth normalized biological data, and fifth normalized biological data; The first normalized biological data, the second normalized biological data, the third normalized biological data, the fourth normalized biological data and the fifth normalized biological data are subjected to spatiotemporal fusion processing to obtain integrated biological data.

[0044] Specifically, valid data is screened through data retrieval and quality evaluation, and the fusion of spatiotemporal data is achieved through geometric / radiation normalization, spatial correspondence / time alignment grid processing methods, and deep learning algorithms that integrate spatial / spectral / radiation features to obtain a multi-source heterogeneous integrated data set.

[0045] Further, the normalizing the first biological data, the second biological data, the third biological data, the fourth biological data, and the fifth biological data to obtain first normalized biological data, second normalized biological data, third normalized biological data, fourth normalized biological data, and fifth normalized biological data, respectively, includes: Parsing the remote sensing image data in the first biological data, the second biological data, the third biological data, the fourth biological data, and the fifth biological data to obtain first parsed data, second parsed data, third parsed data, fourth parsed data, and fifth parsed data; Performing rough geometric correction on the first analytical data, the second analytical data, the third analytical data, the fourth analytical data and the fifth analytical data to obtain first corrected data, second corrected data, third corrected data, fourth corrected data and fifth corrected data; Based on the contour features and grayscale features of the first corrected data, the second corrected data, the third corrected data, the fourth corrected data and the fifth corrected data, multi-scale hierarchical automatic matching is performed to obtain first normalized biological data, second normalized biological data, third normalized biological data, fourth normalized biological data and fifth normalized biological data accordingly.

[0046] Figure 4 It is a schematic diagram of the flow chart of the geometric normalization method provided by the present invention, such as Figure 4 As shown in the figure, for data of different phases and resolutions, high-precision reference benchmarks (OLI, Sentinel-2) are introduced. Through the multi-scale remote sensing image geometric normalization technology of the pyramid tile structure, grayscale feature matching is added based on contour feature matching. Through the fusion matching of the two features, more control points with high geometric accuracy are obtained. The multi-scale hierarchical automatic matching technology is used to quickly obtain control points, correct the RPC function model error, improve the algorithm accuracy, and make the geometric normalization accuracy better than 1 pixel.

[0047] Optionally, the normalizing the first biological data, the second biological data, the third biological data, the fourth biological data, and the fifth biological data to obtain first normalized biological data, second normalized biological data, third normalized biological data, fourth normalized biological data, and fifth normalized biological data, respectively, includes: Based on the reference remote sensing data, downsampling the remote sensing image data in the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data is processed into a geometric consistency to obtain first sampling data, second sampling data, third sampling data, fourth sampling data and fifth sampling data; Based on preset knowledge constraints, perform multivariate change detection on the first sampling data, the second sampling data, the third sampling data, the fourth sampling data, and the fifth sampling data, and screen out first detection data, second detection data, third detection data, fourth detection data, and fifth detection data; Based on the invariant feature points, an orthogonal regression method is used to establish a relationship model between the reference remote sensing data and the first detection data, the second detection data, the third detection data, the fourth detection data, and the fifth detection data; Based on each of the relationship models, radiation correction is performed on the first detection data, the second detection data, the third detection data, the fourth detection data and the fifth detection data, respectively, to obtain first normalized biological data, second normalized biological data, third normalized biological data, fourth normalized biological data and fifth normalized biological data accordingly.

[0048] Figure 5 is a schematic flow chart of the radiation normalization method provided by the present invention, such as Figure 5 As shown, based on the comprehensive spatial geometric normalization, multivariate change detection and orthogonal regression fitting techniques, the optical image relative radiation correction algorithm model of the radiation invariant reference library is used to perform relative radiation normalization on the multi-source and multi-spectral resolution time-series optical images.

[0049] In an optional embodiment, the data is processed for spatiotemporal fusion by a spatial gridding method. Specifically, a network feature class consisting of rectangular pixels is created using the fishing net creation tool of the GIS software. Data such as species distribution area and ecosystem type ratio can be extracted through the vector grid. The center point of the grid can extract attribute values ​​such as reflectivity of multi-source remote sensing data. Finally, the integrated extraction of multi-source remote sensing data is achieved through a spatial gridding method with spatial correspondence and time alignment. The grid cell method can be flexibly applied to fine-grained objects to coarse-grained objects.

[0050] In an optional embodiment, the data is subjected to spatiotemporal fusion processing by a deep learning algorithm that fuses spatial / spectral / radiation features. Specifically, the information extraction of multi-source data at different scales is based on the connection between software and hardware and a deep learning network, which is characterized by being based on the deep learning framework TensorFlow. The core algorithm combines the spatial / spectral / radiation characteristics of remote sensing data, and performs spatiotemporal spectral fusion processing on multi-source heterogeneous data based on target detection network models such as R-CNN and Fast R-CNN, and semantic segmentation network models such as FCN and DeepLab.

[0051] The following describes the "five-base" coordinated biodiversity stereoscopic remote sensing monitoring system provided by an embodiment of the present invention. The "five-base" coordinated biodiversity stereoscopic remote sensing monitoring system described below and the biodiversity monitoring method described above can be referenced to each other.

[0052] Figure 6 Schematic diagram of the structure of the "five bases" coordinated biodiversity three-dimensional remote sensing monitoring system provided by the present invention. Figure 6 As shown, the "five-base" coordinated biodiversity three-dimensional remote sensing monitoring system can include but is not limited to: Space-based satellite subsystem, used to capture and obtain remote sensing image information; Drones are used to capture and obtain remote sensing image information; Tower groups, used to collect monitoring data; Mobile patrol vehicles are used to collect monitoring data; Multiple ground fixed-point observation equipment for collecting and obtaining monitoring data; A processor is used to generate first biological data based on remote sensing image information obtained by space-based satellite photography; generate second biological data based on remote sensing image information obtained by drone photography; generate third biological data based on monitoring data collected by a group of towers; generate fourth biological data based on monitoring data collected by a mobile patrol vehicle; generate fifth biological data based on monitoring data collected by ground fixed-point observation equipment; fuse the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data; determine core monitoring indicators based on the integrated biological data; and determine biodiversity analysis results based on the core monitoring indicators.

[0053] In an optional embodiment, the ground fixed-point observation equipment includes at least one of a high-definition camera, a visible-infrared camera, a bird soundprint meter, a ground imaging spectrometer, a hyperspectral imager, a hyperspectral camera, a lidar, a thermal infrared camera, a total station, and a GPS.

[0054] It should be noted that the "five-base" coordinated biodiversity stereoscopic remote sensing monitoring system provided by the embodiment of the present invention can execute the "five-base" coordinated biodiversity stereoscopic remote sensing monitoring method described in any of the above embodiments during specific operation, which will not be elaborated in this embodiment.

[0055] The following describes the "five-base" collaborative biodiversity stereoscopic remote sensing monitoring device provided by an embodiment of the present invention. The "five-base" collaborative biodiversity stereoscopic remote sensing monitoring device described below and the "five-base" collaborative biodiversity stereoscopic remote sensing monitoring method described above can be referenced to each other.

[0056] Figure 7 Schematic diagram of the structure of the "five bases" coordinated biodiversity three-dimensional remote sensing monitoring device provided by the present invention. Figure 7 As shown, the "five-base" coordinated biodiversity three-dimensional remote sensing monitoring system can include but is not limited to: The first generating module 710 is used to generate first biological data based on remote sensing image information obtained by space-based satellite photography; The second generating module 720 is used to generate second biological data based on the remote sensing image information obtained by the drone; The third generating module 730 is used to generate third biological data based on the monitoring data collected by the tower group; The fourth generating module 740 is used to generate fourth biological data based on the monitoring data collected by the mobile patrol vehicle; The fifth generating module 750 is used to generate fifth biological data based on the monitoring data collected by the ground fixed-point observation equipment; The data fusion module 760 is used to fuse the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data; The indicator determination module 770 is used to: determine the core monitoring indicators based on the integrated biological data; The result analysis module 780 is used to determine the biodiversity analysis results based on the core monitoring indicators.

[0057] It should be noted that the "five-base" coordinated biodiversity stereoscopic remote sensing monitoring device provided in the embodiment of the present invention can execute the "five-base" coordinated biodiversity stereoscopic remote sensing monitoring method described in any of the above embodiments during specific operation, which will not be elaborated in this embodiment.

[0058] Figure 8 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 8As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820 and the memory 830 communicate with each other through the communication bus 840. The processor 810 may call the logic instructions in the memory 830 to execute the "five bases" coordinated biodiversity stereoscopic remote sensing monitoring method, which includes: generating first biological data based on remote sensing image information obtained by space-based satellite photography; generating second biological data based on remote sensing image information obtained by drone photography; generating third biological data based on monitoring data collected by a tower group; generating fourth biological data based on monitoring data collected by a mobile patrol vehicle; generating fifth biological data based on monitoring data collected by a ground fixed-point observation device; fusing the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data; determining core monitoring indicators based on the integrated biological data; and determining biodiversity analysis results based on the core monitoring indicators.

[0059] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0060] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the "five-base" collaborative biodiversity stereoscopic remote sensing monitoring method provided by the above methods, which includes: generating first biological data based on remote sensing image information obtained by space-based satellite photography; generating second biological data based on remote sensing image information obtained by drone photography; generating third biological data based on monitoring data collected by a group of towers; generating fourth biological data based on monitoring data collected by a mobile patrol vehicle; generating fifth biological data based on monitoring data collected by ground fixed-point observation equipment; fusing the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data; determining core monitoring indicators based on the integrated biological data; determining biodiversity analysis results based on the core monitoring indicators.

[0061] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the "five-base" coordinated biodiversity stereoscopic remote sensing monitoring method provided by the above-mentioned methods, the method comprising: generating first biological data based on remote sensing image information obtained by space-based satellite photography; generating second biological data based on remote sensing image information obtained by drone photography; generating third biological data based on monitoring data collected by a group of towers; generating fourth biological data based on monitoring data collected by a mobile patrol vehicle; generating fifth biological data based on monitoring data collected by ground fixed-point observation equipment; fusing the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data; determining core monitoring indicators based on the integrated biological data; and determining biodiversity analysis results based on the core monitoring indicators.

[0062] The system embodiment described above is merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0063] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0064] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A "five-base" coordinated biodiversity three-dimensional remote sensing monitoring method, characterized in that: include: Generate first biological data based on remote sensing image information obtained by space-based satellite photography; Generate second biological data based on remote sensing image information obtained by drone photography; Generate third biological data based on the monitoring data collected by the tower group; Generate fourth biological data based on the monitoring data collected by the mobile patrol vehicle; Generate fifth biological data based on monitoring data collected by ground fixed-point observation equipment; fusing the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data; Determining core monitoring indicators based on the integrated biological data; Based on the core monitoring indicators, determine the biodiversity analysis results.

2. The "five bases" coordinated biodiversity three-dimensional remote sensing monitoring method according to claim 1 is characterized in that: The fusing the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data includes: Normalizing the first biological data, the second biological data, the third biological data, the fourth biological data, and the fifth biological data to obtain first normalized biological data, second normalized biological data, third normalized biological data, fourth normalized biological data, and fifth normalized biological data; The first normalized biological data, the second normalized biological data, the third normalized biological data, the fourth normalized biological data and the fifth normalized biological data are subjected to spatiotemporal fusion processing to obtain integrated biological data.

3. The "five bases" coordinated biodiversity three-dimensional remote sensing monitoring method according to claim 2 is characterized in that: The normalizing of the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain first normalized biological data, second normalized biological data, third normalized biological data, fourth normalized biological data and fifth normalized biological data includes: Parsing the remote sensing image data in the first biological data, the second biological data, the third biological data, the fourth biological data, and the fifth biological data to obtain first parsed data, second parsed data, third parsed data, fourth parsed data, and fifth parsed data; Performing rough geometric correction on the first analytical data, the second analytical data, the third analytical data, the fourth analytical data and the fifth analytical data to obtain first corrected data, second corrected data, third corrected data, fourth corrected data and fifth corrected data; Based on the contour features and grayscale features of the first corrected data, the second corrected data, the third corrected data, the fourth corrected data and the fifth corrected data, multi-scale hierarchical automatic matching is performed to obtain first normalized biological data, second normalized biological data, third normalized biological data, fourth normalized biological data and fifth normalized biological data accordingly.

4. The "five bases" coordinated biodiversity three-dimensional remote sensing monitoring method according to claim 2 is characterized in that: The normalizing of the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain first normalized biological data, second normalized biological data, third normalized biological data, fourth normalized biological data and fifth normalized biological data includes: Based on the reference remote sensing data, downsampling the remote sensing image data in the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data is processed into a geometric consistency to obtain first sampling data, second sampling data, third sampling data, fourth sampling data and fifth sampling data; Based on preset knowledge constraints, perform multivariate change detection on the first sampling data, the second sampling data, the third sampling data, the fourth sampling data, and the fifth sampling data, and screen out first detection data, second detection data, third detection data, fourth detection data, and fifth detection data; Based on the invariant feature points, an orthogonal regression method is used to establish a relationship model between the reference remote sensing data and the first detection data, the second detection data, the third detection data, the fourth detection data, and the fifth detection data; Based on each of the relationship models, radiation correction is performed on the first detection data, the second detection data, the third detection data, the fourth detection data and the fifth detection data, respectively, to obtain first normalized biological data, second normalized biological data, third normalized biological data, fourth normalized biological data and fifth normalized biological data accordingly.

5. A "five-base" coordinated biodiversity three-dimensional remote sensing monitoring device, characterized in that: include: A first generating module is used to generate first biological data based on remote sensing image information obtained by space-based satellite photography; The second generating module is used to generate second biological data based on remote sensing image information obtained by drone photography; The third generation module is used to generate third biological data based on the monitoring data collected by the tower group; A fourth generating module is used to generate fourth biological data based on the monitoring data collected by the mobile patrol vehicle; A fifth generating module, used to generate fifth biological data based on the monitoring data collected by the ground fixed-point observation equipment; a data fusion module, used to: fuse the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data; An indicator determination module, used to: determine core monitoring indicators based on the integrated biological data; The result analysis module is used to determine the biodiversity analysis results based on the core monitoring indicators.

6. A "five-base" coordinated biodiversity three-dimensional remote sensing monitoring system, characterized in that: include: Space-based satellite subsystem, used to capture and obtain remote sensing image information; Drones are used to capture and obtain remote sensing image information; Tower groups, used to collect monitoring data; Mobile patrol vehicles are used to collect monitoring data; Multiple ground fixed-point observation equipment for collecting and obtaining monitoring data; A processor is used to generate first biological data based on remote sensing image information obtained by space-based satellite photography; generate second biological data based on remote sensing image information obtained by drone photography; generate third biological data based on monitoring data collected by a group of towers; generate fourth biological data based on monitoring data collected by a mobile patrol vehicle; generate fifth biological data based on monitoring data collected by ground fixed-point observation equipment; fuse the first biological data, the second biological data, the third biological data, the fourth biological data and the fifth biological data to obtain integrated biological data; determine core monitoring indicators based on the integrated biological data; and determine biodiversity analysis results based on the core monitoring indicators.

7. The biodiversity monitoring system according to claim 6, characterized in that: The ground fixed-point observation equipment includes at least one of a high-definition camera, a visible-infrared camera, a bird soundprint meter, a ground imaging spectrometer, a hyperspectral imager, a hyperspectral camera, a lidar, a thermal infrared camera, a total station, and a GPS.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the "five-base" collaborative biodiversity stereoscopic remote sensing monitoring method as described in any one of claims 1 to 4 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the "five-base" collaborative biodiversity stereoscopic remote sensing monitoring method as described in any one of claims 1 to 4.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, it implements the "five-base" collaborative biodiversity stereoscopic remote sensing monitoring method as described in any one of claims 1 to 4.

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