Multi-scale leaf area index remote sensing product ground verification sampling method and device

Abstract

The invention provides a multi-scale leaf area index (LAI) remote sensing product ground verification sampling method and device, and the method comprises the steps: obtaining an inspection site of a leaf area index (LAI) remote sensing product, and determining the inspection site based on an image pixel corresponding to a target scale LAI remote sensing product; uniformly dividing the inspection site to obtain a plurality of sub-grids, and determining sampling quadrat information from the plurality of sub-grids according to the LAI acquisition nodes; the sampling quadrat information comprises the number and the position of sampling quadrat; and overlapping the sampling quadrat corresponding to at least two adjacent sub-grids in the plurality of sub-grids, and obtaining a sampling result under the condition of traversing the plurality of sub-grids. According to the method, the number of wireless acquisition nodes required by traditional ground measurement can be reduced, the measurement cost is reduced, and meanwhile, the observation requirements of LAI remote sensing products with different resolutions can be met.

Description

Technical Field

[0001] The present invention relates to the field of image processing technology, and in particular to a multi-scale ground verification sampling method and device for leaf area index remote sensing products. Background Art

[0002] Before LAI (Leaf Area Index) remote sensing products are put into use, they need to be verified for authenticity, that is, to correctly evaluate the accuracy of remote sensing products and to convince users of such accuracy. Authenticity verification involves key links in quantitative remote sensing, such as ground observation, synchronous observation, model inversion, remote sensing product acquisition, and scale conversion. Therefore, ground observations must not only obtain the true value of quantitative remote sensing inversion products within the field of view of ground sensors, but also use ground sensors to obtain simulated remote sensing signals and build or verify models.

[0003] At present, ground observations include methods for directly measuring LAI on the ground, such as the fallen leaf collection method, the tracing and weighing method, etc.; they also include methods for measuring LAI with the help of some measurement parameters or optical instruments, such as the point contact method, the extinction coefficient method, the optical instrument method, etc.; usually, the ground truth observation plan often only considers the scale of the product to be verified, and a specific ground measurement plan will be designed for the pixel scale specified in the demand. However, different pixel scales are independent of each other, and sampling plans need to be designed separately, which leads to a large consumption of manpower and material resources, limiting the acquisition and application of ground truth of LAI remote sensing products. Summary of the invention

[0004] The present invention provides a multi-scale leaf area index remote sensing product ground verification sampling method to solve the problem that different pixel scales in the ground measurement scheme designed in the prior art are independent of each other, a sampling scheme needs to be designed separately, and the manpower and time costs invested are too large, resulting in low efficiency of ground verification of LAI remote sensing products. The efficiency and resource utilization of ground verification of LAI remote sensing products are improved.

[0005] The present invention provides a multi-scale ground verification sampling method for leaf area index remote sensing products, comprising: Acquire a test site for a leaf area index LAI remote sensing product, where the test site is determined based on image pixels corresponding to the target scale LAI remote sensing product; The inspection site is evenly divided into a plurality of sub-grids, and sampling quadrat information is determined from the plurality of sub-grids according to the LAI acquisition nodes; the sampling quadrat information includes the number and location of the sampling quadrat; The sampling quadrats respectively corresponding to at least two adjacent sub-grids in the multiple sub-grids are overlapped, and the sampling results are obtained while traversing the multiple sub-grids.

[0006] According to a multi-scale ground verification sampling method for leaf area index remote sensing products provided by the present invention, the step of determining sampling quadrat information from the multiple sub-grids according to the LAI acquisition node includes: According to a systematic sampling method, the plurality of sub-grids are collected m The sampling plots are calculated according to the following formula: m The proportion of sampling plots in the inspection sites: ; in, For the above proportion, S q is the area of ​​the sampling quadrat, S s is the area of ​​the inspection site.

[0007] According to a multi-scale ground verification sampling method for leaf area index remote sensing products provided by the present invention, the acquisition nodes are determined by a wireless sensor network deployed at fixed sampling points on the ground, and the spatial field of view coverage area corresponding to the acquisition nodes is determined based on the field of view angle of the camera lens and the vegetation height of the inspection site.

[0008] According to a multi-scale ground verification sampling method for leaf area index remote sensing products provided by the present invention, the vegetation in the inspection site is uniform, and the heterogeneity between vegetation is lower than a preset heterogeneity threshold.

[0009] According to a multi-scale ground verification sampling method for leaf area index remote sensing products provided by the present invention, the size of the inspection site is 50 meters × 50 meters, and the inspection site includes 3 × 3 sub-grids. An LAI acquisition node is arranged in each of the sub-grids corresponding to the four vertices of the inspection site and in the central grid.

[0010] According to a multi-scale ground verification sampling method for leaf area index remote sensing products provided by the present invention, the size of the inspection site is 100 meters × 100 meters, and the inspection site includes 3×3 sub-grids, and an LAI acquisition node is arranged in each sub-grid. The four adjacent sub-grids in the 100 meters × 100 meters inspection site are sub-grids corresponding to the four vertices in the 50 meters × 50 meters inspection site, and an LAI acquisition node is arranged in the central grid of the 50 meters × 50 meters inspection site; the 50 meters × 50 meters inspection site includes 3×3 sub-grids.

[0011] The present invention also provides a multi-scale leaf area index remote sensing product ground verification sampling device, comprising: A test site acquisition module is used to acquire a test site for a leaf area index LAI remote sensing product, wherein the test site is determined based on image pixels corresponding to the target scale LAI remote sensing product; The first processing module is used to evenly divide the inspection site into multiple sub-grids, and determine sampling quadrat information from the multiple sub-grids according to the LAI acquisition node; the sampling quadrat information includes the number and location of the sampling quadrat; The second processing module is used to overlap the sampling quadrats corresponding to at least two adjacent sub-grids in the multiple sub-grids, and obtain the sampling result while traversing the multiple sub-grids.

[0012] 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 program, a ground verification sampling method for multi-scale leaf area index remote sensing products as described in any one of the above-mentioned methods is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described multi-scale leaf area index remote sensing product ground verification sampling methods.

[0014] The present invention also provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above-mentioned multi-scale leaf area index remote sensing product ground verification sampling methods.

[0015] The multi-scale leaf area index remote sensing product ground verification sampling method and device provided by the present invention obtains multiple sub-grids by evenly dividing the inspection site, and determines the sampling sample plot information from the multiple sub-grids according to the LAI acquisition nodes, overlaps the sampling sample plots corresponding to at least two adjacent sub-grids in the multiple sub-grids, and obtains the sampling results while traversing the multiple sub-grids. The Fu Angfa of the present invention can reduce the number of wireless acquisition nodes required for traditional ground measurement and reduce the measurement cost, and can meet the observation needs of LAI remote sensing products with different resolutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] 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.

[0017] Figure 1 This is one of the flow charts of the ground verification sampling method for multi-scale leaf area index remote sensing products provided by the present invention.

[0018] Figure 2It is a schematic diagram of the effective field of view angle of the camera lens corresponding to the LAI acquisition node provided by the present invention.

[0019] Figure 3 It is a schematic diagram of the upper space field of view coverage of the camera corresponding to the LAI acquisition node provided by the present invention.

[0020] Figure 4 It is a schematic diagram of the planning of a testing site of 50 meters × 50 meters provided by the present invention.

[0021] Figure 5 It is a schematic diagram of the planning of a testing site of 100 meters × 100 meters provided by the present invention.

[0022] Figure 6 It is a structural schematic diagram of a ground verification sampling device for multi-scale leaf area index remote sensing products provided by the present invention.

[0023] Figure 7 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0024] 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.

[0025] Combine the following Figure 1-Figure 6 The invention describes the ground verification sampling method and device of multi-scale leaf area index remote sensing products.

[0026] Figure 1 This is one of the flow charts of the ground verification sampling method for multi-scale leaf area index remote sensing products provided by the present invention, such as Figure 1 As shown in FIG. 1 , the ground verification sampling method of the multi-scale leaf area index remote sensing product includes the following steps: Step 110: Acquire a test site for the leaf area index LAI remote sensing product. The test site is determined based on image pixels corresponding to the target scale LAI remote sensing product.

[0027] In this step, remote sensing products include vegetation remote sensing products, such as vegetation coverage, vegetation index, etc. Vegetation remote sensing products can provide data support for tasks such as cultivated land monitoring and supervision, crop growth monitoring, crop yield estimation, and resource and environmental monitoring; remote sensing products also include land cover remote sensing products, etc.

[0028] In this embodiment, the verification site includes a authenticity verification site required for the target-scale LAI remote sensing product, for example, the verification site is an area with uniform vegetation.

[0029] In this embodiment, in order to avoid the influence of uncertainty such as geometric positioning, ground observation, scale conversion, etc. when deploying the ground site, the inspection site S s The size should be at least 3×3 pixels, that is: ; ; in, is the image pixel size corresponding to the target scale LAI remote sensing product, It is the side length of the inspection site. Its setting can refer to the resolution in the five-layer and fifteen-level segmentation standard (such as 10m, 25m, 50m, etc., a total of 15 resolutions).

[0030] Step 120, evenly divide the inspection site to obtain multiple sub-grids, and determine sampling plot information from the multiple sub-grids according to the LAI acquisition nodes; the sampling plot information includes the number and location of the sampling plots.

[0031] In this step, you can follow n × n The inspection site is evenly divided in a manner, for example, the inspection site is evenly divided in a 1×1, 2×2 or 3×3 manner.

[0032] In this embodiment, the LAI acquisition node can be a wireless acquisition node in a wireless sensor network deployed according to fixed sampling points on the ground for long-term continuous observation of LAI; wherein the sample size of the effective acquisition area that can be covered by the LAI acquisition node is S n It is expressed by the following formula: ; in, It is the side length of the effective collection area of ​​the LAI collection node.

[0033] In this step, the sampling plot is the grid with LAI collection nodes after the inspection site is gridded. S q Not less than S n , which can be expressed as: ; in, is the side length of the sampling quadrat.

[0034] Figure 2It is a schematic diagram of the effective field of view angle of the camera lens corresponding to the LAI acquisition node provided by the present invention; Figure 3 : is a schematic diagram of the upper space field of view coverage of the camera corresponding to the LAI acquisition node provided by the present invention; Figures 2 to 3 In the embodiment shown, the fisheye lens of the camera used by the wireless acquisition node has an effective field of view of approximately 150°; assuming that the vegetation height is 2 meters, the radius of the upper space field of view corresponding to the camera can be calculated based on trigonometric functions to be approximately 7.5 meters. At the same time, it can be inferred that the maximum sample plot side length covered by the upper space field of view corresponding to the camera is approximately 10 meters. Therefore, one wireless acquisition node can measure the LAI corresponding to a 10×10m sample plot.

[0035] In this embodiment, the vegetation of the inspection site is uniform, and the heterogeneity between the vegetation is lower than a preset heterogeneity threshold.

[0036] Among them, the preset heterogeneity threshold can be set according to user needs, and the inspection site with uniform vegetation can be selected to collect high-quality LAI remote sensing products and provide reliable supporting data for subsequent remote sensing data processing.

[0037] In some embodiments, the collection nodes are determined by a wireless sensor network deployed at fixed sampling points on the ground, and the spatial field of view coverage area corresponding to the collection nodes is determined based on the field of view angle of the camera lens and the height of vegetation at the inspection site.

[0038] Specifically, we select the scales with similar pixel sizes for nested design. Taking the Gaofen series satellites as an example, the spatial resolution of GF-1 PMS panchromatic black-and-white images is 2m (meters can be expressed in m), so the inspection site needs to be no less than 6m×6m; the spatial resolution of GF-1 PMS multispectral color images is 8m, so the inspection site needs to be no less than 24m×24m; the spatial resolution of GF-1 WFV images is 16m, so the inspection site needs to be no less than 48m×48m; the spatial resolution of GF5 AHSI images is 30m, so the site needs to be no less than 90m×90m. After adjusting the resolution in the five-layer and fifteen-level segmentation standard, the ground inspection site of GF-1 PMS panchromatic black-and-white images is 10m×10m; the ground inspection site of GF-1 PMS multispectral color images is 25m×25m; the ground inspection site of GF-1WFV images is 50m×50m; and the ground inspection site of GF-5 AHSI images is 100m×100m.

[0039] In this embodiment, the inspection site with a 2m scale requirement is the effective coverage range of the wireless acquisition node lens; for example, the inspection site with a 16m scale requirement is n The sampling area is 3, and the sampling area accounts for 20% of the inspection area; the inspection area with a scale of 30m n The sampling plots account for 9% of the inspection sites.

[0040] Step 130: overlap the sampling quadrats corresponding to at least two adjacent sub-grids in the multiple sub-grids, and obtain the sampling result while traversing the multiple sub-grids.

[0041] In this step, two adjacent scale inspection sites are selected, and as many sampling plots in the two adjacent scale inspection sites are overlapped as much as possible. In the overlap process, it is only necessary to ensure that the LAI acquisition node area is overlapped. The final multi-scale inspection scale mosaic result can be obtained by completing the overlap process from high to low scales.

[0042] In this embodiment, the present invention adopts a nested design strategy of ground fields at multiple scales, and then obtains ground truth values ​​at multiple scales; specifically, a large-scale ground field scheme is obtained with priority design, and when designing a secondary-scale ground field scheme, the existing ground sampling plots in the large-scale ground field scheme are reused as much as possible; after obtaining the LAI measurement value of the ground sampling plot through the wireless acquisition node, the LAI ground truth value corresponding to each scale is calculated according to the plot corresponding to each scale.

[0043] In this embodiment, if each pixel scale is designed independently, 5 wireless acquisition nodes are required for the 16m pixel scale, and 9 wireless acquisition nodes are required for the 30m pixel scale, for a total of 14 wireless acquisition nodes; if the method of the present invention is adopted, a total of 10 wireless acquisition nodes are required, saving 4 wireless acquisition nodes; similarly, the smallest 2m pixel scale can reuse the wireless acquisition nodes of the 16m and 30m pixel scales in the scheme to collect data, and wireless acquisition nodes can be supplemented as needed to meet measurement needs, greatly improving resource utilization efficiency.

[0044] A multi-scale ground verification sampling method for leaf area index remote sensing products according to an embodiment of the present invention obtains multiple sub-grids by evenly dividing the inspection site, and determines the sampling plot information from the multiple sub-grids according to the LAI acquisition nodes, overlaps the sampling plots corresponding to at least two adjacent sub-grids in the multiple sub-grids, and obtains the sampling results while traversing the multiple sub-grids. The method of the present invention can reduce the number of wireless acquisition nodes required for traditional ground measurement and reduce the measurement cost, while meeting the observation needs of LAI remote sensing products with different resolutions.

[0045] In some embodiments, determining sampling quadrat information from a plurality of sub-grids according to the LAI acquisition node includes: acquiring sampling quadrat information from a plurality of sub-grids according to a systematic sampling method. m The sampling plots are calculated according to the following formula m The proportion of sampling plots in the inspection site: ; in, As a percentage, S q is the area of ​​the sampling quadrat, S s The area of ​​the inspection site.

[0046] In this embodiment, the sampling plot is selected based on the actual area of ​​the sampling plot (for example, one collection node can measure the LAI data of a 10 m × 10 m plot), the area of ​​the inspection site, and the proportion of the sampling plot allowed in the inspection site (for example, 0.01 ≤ ≤0.5), reasonably set the number of acquisition nodes to ensure that the resource utilization rate is improved while obtaining the LAI data of the inspection site of the target scale.

[0047] A multi-scale ground verification sampling method for leaf area index remote sensing products of an embodiment of the present invention collects data in multiple grids through a systematic sampling method. m Sampling plots and calculation m The proportion of sampling plots in the inspection site is used to reasonably design the number of collection nodes, thereby improving the resource utilization of the entire ground measurement plan.

[0048] In some embodiments, the size of the inspection site is 50 meters×50 meters, and the inspection site includes 3×3 sub-grids. An LAI collection node is arranged in each of the sub-grids corresponding to the four vertices of the inspection site and in the central grid.

[0049] Take the example of measuring LAI data of a 10m×10m sample plot by a collection node. Figure 4 This is a schematic diagram of the planning of a 50m x 50m inspection site provided by the present invention. Figure 4 In the embodiment shown, since the spatial resolution of the GF-1 WFV image is 16m, the required inspection site size is at least 48m×48m; when planning according to the inspection site size of 50m×50m, it is necessary to arrange an LAI acquisition node in each of the sub-grids corresponding to the four vertices of the inspection site and in the central grid. A total of five LAI acquisition nodes can meet the LAI remote sensing product sampling requirements of the inspection site with a size of 50m×50m.

[0050] In another embodiment, the size of the inspection site is 100 meters × 100 meters, and the inspection site includes 3 × 3 sub-grids. An LAI acquisition node is arranged in each sub-grid. The four adjacent sub-grids in the 100 meters × 100 meters inspection site are sub-grids corresponding to the four vertices in the 50 meters × 50 meters inspection site, and an LAI acquisition node is arranged in the central grid of the 50 meters × 50 meters inspection site; the 50 meters × 50 meters inspection site includes 3 × 3 sub-grids.

[0051] Similarly, take a collection node measuring the LAI data of a 10m×10m sample plot as an example. Figure 5 This is a schematic diagram of the planning of a 100m x 100m inspection site provided by the present invention. Figure 5 In the illustrated embodiment, since the spatial resolution of the GF5AHSI image is 30m, the required inspection site size is at least 90m×90m; when planning according to the inspection site size of 100m×100m, it is necessary to respectively set nine LAI acquisition nodes in the nine sub-grids corresponding to the 100m×100m inspection site, and at the same time, any four adjacent sub-grids (any of the upper left, upper right, lower right or lower left) of the nine sub-grids are used as four vertex sub-grids in the nine sub-grids of the 50m×50m inspection site, and an LAI acquisition node is set in the middle grid of the 50m×50m inspection site. A total of ten LAI acquisition nodes are set, which can meet the LAI remote sensing product sampling requirements of the inspection site with a size of 10m×10m, and has higher resource utilization and faster efficiency than the traditional ground measurement in which corresponding LAI acquisition nodes are separately set according to inspection sites of different sizes.

[0052] A multi-scale ground verification sampling method for leaf area index remote sensing products of an embodiment of the present invention arranges an LAI acquisition node in each sub-grid when the size of the inspection site is 100 meters × 100 meters, and the four adjacent sub-grids in the inspection site of 100 meters × 100 meters are sub-grids corresponding to the four vertices in the inspection site of 50 meters × 50 meters, and an LAI acquisition node is arranged in the central grid of the inspection site of 50 meters × 50 meters; the inspection site of 50 meters × 50 meters includes 3 × 3 sub-grids, which can meet the LAI remote sensing product sampling requirements of inspection sites with sizes of 50 meters × 50 meters and 100 meters × 100 meters, and the resource utilization rate is higher.

[0053] The multi-scale leaf area index remote sensing product ground verification sampling device provided by the present invention is described below. The multi-scale leaf area index remote sensing product ground verification sampling device described below and the multi-scale leaf area index remote sensing product ground verification sampling method described above can be referenced to each other.

[0054] Figure 6 FIG. 1 is a schematic diagram of the structure of the multi-scale ground verification sampling device for leaf area index remote sensing products provided by the present invention. Figure 6 As shown in the figure, the ground verification sampling device for the multi-scale leaf area index remote sensing product includes: The inspection site acquisition module 610 is used to obtain the inspection site of the leaf area index LAI remote sensing product, and the inspection site is determined based on the image pixels corresponding to the target scale LAI remote sensing product; The first processing module 620 is used to evenly divide the inspection site into multiple sub-grids, and determine the sampling quadrat information from the multiple sub-grids according to the LAI acquisition node; the sampling quadrat information includes the number and location of the sampling quadrat; The second processing module 630 is used to overlap the sampling quadrats corresponding to at least two adjacent sub-grids in the multiple sub-grids, and obtain the sampling result in the case of traversing the multiple sub-grids.

[0055] A multi-scale ground verification sampling device for leaf area index remote sensing products according to an embodiment of the present invention obtains multiple sub-grids by evenly dividing the inspection site, and determines sampling plot information from the multiple sub-grids according to LAI acquisition nodes, overlaps the sampling plots corresponding to at least two adjacent sub-grids in the multiple sub-grids, and obtains sampling results while traversing multiple sub-grids. The method of the present invention can reduce the number of wireless acquisition nodes required for traditional ground measurement and reduce measurement costs, while meeting the observation needs of LAI remote sensing products with different resolutions.

[0056] Figure 7 is a schematic diagram of the structure of the electronic device provided by the present invention, such as Figure 7 As shown, the electronic device may include: a processor 710, a communication interface 720, a memory 730 and a communication bus 740, wherein the processor 710, the communication interface 720 and the memory 730 communicate with each other through the communication bus 740. The processor 710 may call the logic instructions in the memory 730 to execute the ground verification sampling method of the multi-scale leaf area index remote sensing product, the method comprising: obtaining the inspection site of the leaf area index LAI remote sensing product, the inspection site is determined based on the image pixels corresponding to the target scale LAI remote sensing product; the inspection site is evenly divided to obtain a plurality of sub-grids, and the sampling quadrat information is determined from the plurality of sub-grids according to the LAI acquisition node; the sampling quadrat information includes the number and position of the sampling quadrat; the sampling quadrat corresponding to at least two adjacent sub-grids in the plurality of sub-grids is overlapped, and the sampling result is obtained when the plurality of sub-grids are traversed.

[0057] In addition, the logic instructions in the above-mentioned memory 730 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 can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several 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, etc. Various media that can store program codes.

[0058] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program 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 multi-scale leaf area index remote sensing product ground verification sampling method provided by the above methods, the method including: obtaining a test site for the leaf area index LAI remote sensing product, the test site is determined based on the image pixels corresponding to the target scale LAI remote sensing product; the test site is evenly divided to obtain multiple sub-grids, and the sampling plot information is determined from the multiple sub-grids according to the LAI acquisition nodes; the sampling plot information includes the number and position of the sampling plots; the sampling plots corresponding to at least two adjacent sub-grids in the multiple sub-grids are overlapped, and the sampling results are obtained after traversing multiple sub-grids.

[0059] 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 multi-scale leaf area index remote sensing product ground verification sampling method provided by the above-mentioned methods, the method comprising: obtaining a test site for the leaf area index LAI remote sensing product, the test site being determined based on the image pixels corresponding to the target scale LAI remote sensing product; evenly dividing the test site to obtain a plurality of sub-grids, and determining the sampling plot information from the plurality of sub-grids according to the LAI acquisition nodes; the sampling plot information comprises the number and position of the sampling plots; overlapping the sampling plots corresponding to at least two adjacent sub-grids in the plurality of sub-grids, and obtaining the sampling results after traversing the plurality of sub-grids.

[0060] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed 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 scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0061] 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.

[0062] 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 multi-scale ground verification sampling method for leaf area index remote sensing products, characterized in that: include: Acquire a test site for a leaf area index LAI remote sensing product, where the test site is determined based on image pixels corresponding to the target scale LAI remote sensing product; The inspection site is evenly divided into a plurality of sub-grids, and sampling quadrat information is determined from the plurality of sub-grids according to the LAI acquisition nodes; The sampling plot information includes the number and location of the sampling plots; The sampling quadrats respectively corresponding to at least two adjacent sub-grids in the multiple sub-grids are overlapped, and the sampling results are obtained while traversing the multiple sub-grids.

2. The multi-scale leaf area index remote sensing product ground verification sampling method according to claim 1 is characterized in that: The determining of sampling quadrat information from the plurality of sub-grids according to the LAI acquisition node comprises: According to a systematic sampling method, the plurality of sub-grids are collected m The sampling plots are calculated according to the following formula: m The percentage of sampling plots in the inspection sites: ； in, For the above proportion, S q is the area of ​​the sampling quadrat, S s is the area of ​​the inspection site.

3. The multi-scale leaf area index remote sensing product ground verification sampling method according to claim 1 is characterized in that: The acquisition nodes are determined by a wireless sensor network deployed at fixed sampling points on the ground, and the spatial field of view coverage area corresponding to the acquisition nodes is determined based on the field of view angle of the camera lens and the height of vegetation in the inspection site.

4. The multi-scale leaf area index remote sensing product ground verification sampling method according to claim 1, characterized in that: The vegetation of the inspection site is uniform, and the heterogeneity between the vegetation is lower than a preset heterogeneity threshold.

5. The multi-scale leaf area index remote sensing product ground verification sampling method according to claim 1, characterized in that: The size of the inspection site is 50 meters×50 meters. The inspection site includes 3×3 sub-grids. An LAI collection node is arranged in each of the sub-grids corresponding to the four vertices of the inspection site and in the central grid.

6. The multi-scale leaf area index remote sensing product ground verification sampling method according to claim 1, characterized in that: The size of the inspection site is 100 meters × 100 meters. The inspection site includes 3 × 3 sub-grids. An LAI collection node is arranged in each sub-grid. The four adjacent sub-grids in the 100 meters × 100 meters inspection site are the sub-grids corresponding to the four vertices in the 50 meters × 50 meters inspection site, and an LAI collection node is arranged in the central grid of the 50 meters × 50 meters inspection site; the 50 meters × 50 meters inspection site includes 3 × 3 sub-grids.

7. A multi-scale ground verification sampling device for leaf area index remote sensing products, characterized in that: include: A test site acquisition module is used to acquire a test site for a leaf area index LAI remote sensing product, wherein the test site is determined based on image pixels corresponding to the target scale LAI remote sensing product; A first processing module is used to evenly divide the inspection site into a plurality of sub-grids, and determine sampling quadrat information from the plurality of sub-grids according to the LAI acquisition node; The sampling plot information includes the number and location of the sampling plots; The second processing module is used to overlap the sampling quadrats corresponding to at least two adjacent sub-grids in the multiple sub-grids, and obtain the sampling results while traversing the multiple sub-grids.

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 program, the multi-scale leaf area index remote sensing product ground verification sampling method as described in any one of claims 1 to 6 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, the multi-scale leaf area index remote sensing product ground verification sampling method as claimed in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the multi-scale leaf area index remote sensing product ground verification sampling method as claimed in any one of claims 1 to 6 is implemented.

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