Remote sensing estimation method for felling time, growth duration and aboveground biomass of timber bamboo forest

Abstract

The present invention provides a remote sensing estimation method, device, electronic device, and storage medium for the time point of felling, growth duration, and aboveground biomass of a timber bamboo forest, belonging to the field of forestry technology. The method comprises: performing patch segmentation on microwave remote sensing data and optical remote sensing data of a monitored area, respectively, to obtain a plurality of microwave patches and a plurality of optical patches; calculating the pixel means of the plurality of microwave patches and the plurality of optical patches, respectively, to obtain a microwave patch mean and an optical patch mean; determining the timber bamboo forest felling area based on the microwave patch mean and the optical patch mean; determining the time point of felling of the timber bamboo forest based on the optical patch mean; determining the growth duration of the timber bamboo forest; and determining the aboveground biomass based on the vegetation cover and growth duration of the timber bamboo forest. The present invention combines the differences between microwave remote sensing data and optical remote sensing data to improve the accuracy of estimating the time point of felling, growth duration, and aboveground biomass of the timber bamboo forest.

Description

Technical Field

[0001] The present invention relates to the technical field of forestry, and in particular to a remote sensing estimation method for the felling time point, growth duration and above-ground biomass of a timber bamboo forest. Background Art

[0002] Bamboo forests are a resource used in both industry and agriculture. Their rapid growth and strong carbon sequestration capacity make them crucial in the context of the "dual carbon" initiative. However, the lack of unified planning and management of bamboo forests makes it difficult to identify suitable logging areas for timber bamboo forests.

[0003] Currently, remote sensing technology is commonly used to identify distinct bamboo deforestation areas. Specifically, deforestation areas are determined through land use classification or visual interpretation using spectral information or combined with texture information. Many bamboo forest areas have significant topographical variations. This, for example, can lead to spectral similarities between other forests and grasses and the bamboo forest. This results in uncertainty in the extracted information about bamboo, grass, and their mixture, leading to low accuracy in remote sensing estimates of the timing of deforestation, growth duration, and aboveground biomass of timber bamboo forests.

[0004] Therefore, how to improve the accuracy of remote sensing estimation of the felling time, growth period and aboveground biomass of timber bamboo forests has become a technical problem that needs to be solved urgently. Summary of the Invention

[0005] The present invention provides a remote sensing estimation method for the felling time, growth period and aboveground biomass of a timber bamboo forest, which is used to solve the defect of low accuracy of remote sensing estimation of the felling time, growth period and aboveground biomass of a timber bamboo forest in the prior art, and improve the accuracy of remote sensing estimation of the felling time, growth period and aboveground biomass of a timber bamboo forest.

[0006] The present invention provides a remote sensing estimation method for the felling time, growth duration and aboveground biomass of a timber bamboo forest, comprising the following steps:

[0007] Perform patch segmentation on the microwave remote sensing data and the optical remote sensing data of the monitoring area respectively, and obtain multiple microwave patches and multiple optical patches accordingly;

[0008] Calculating pixel means of the plurality of microwave patches and the plurality of optical patches respectively, and obtaining a microwave patch mean and an optical patch mean respectively;

[0009] Determining a timber bamboo forest felling area based on the microwave patch mean and the optical patch mean;

[0010] Determining the time point for felling the timber bamboo forest based on the optical patch mean value;

[0011] Determine the growth period of timber bamboo forest;

[0012] The aboveground biomass is determined based on the vegetation coverage of the timber bamboo forest and the growth duration of the timber bamboo forest.

[0013] According to a remote sensing estimation method for the felling time, growth duration, and aboveground biomass of a timber bamboo forest provided by the present invention, the method of determining the felling area of ​​the timber bamboo forest based on the microwave patch mean and the optical patch mean comprises:

[0014] Determining a timber forest felling area identification index based on the microwave patch mean and the optical patch mean;

[0015] Determining the timber bamboo forest felling area based on the timber forest felling area identification index;

[0016] The timber forest felling area identification index is calculated based on the following formula:

[0017] ;

[0018] in, represents the timber forest felling area identification index, express The first The average optical patch value in 2018 is express The mean of the annual optical patch mean, express The first The average value of microwave patches in the year express The mean of the annual microwave patch means.

[0019] According to a remote sensing estimation method for the felling time, growth duration, and aboveground biomass of a timber bamboo forest provided by the present invention, the method of determining the felling area of ​​the timber bamboo forest based on the timber forest felling area identification index includes:

[0020] If the timber forest felling area identification index is greater than a preset threshold, the monitoring area is determined to be a timber bamboo forest felling area;

[0021] If the timber forest felling area identification index is less than or equal to the preset threshold, it is determined that the monitoring area is not a timber bamboo forest felling area.

[0022] According to a remote sensing estimation method for the felling time, growth duration, and aboveground biomass of a timber bamboo forest provided by the present invention, the pixel means of the plurality of microwave patches are calculated based on the following steps:

[0023] Calculating the plaque mean of each microwave plaque respectively;

[0024] Determining a pixel mean based on the plaque mean of each of the microwave plaques;

[0025] Among the multiple microwave plaques, The mean value of each microwave plaque is calculated based on the following formula:

[0026] ;

[0027] in, Indicates the The mean value of the microwave plaques, represents the product of the image element values ​​of the microwave, represents the pixel value of VV polarization, Pixel value representing VH polarization.

[0028] According to a remote sensing estimation method for the felling time point, growth duration, and aboveground biomass of a timber bamboo forest provided by the present invention, the method of determining the felling time point of the timber bamboo forest based on the optical patch mean value comprises:

[0029] Calculate the absolute difference of the annual optical patch mean values ​​of any two adjacent years within m years, where the absolute difference of the annual optical patch mean values ​​is the absolute value of the difference between the optical patch means of the two years, and m is a positive integer;

[0030] The year corresponding to the maximum absolute difference of the annual optical patch means is used as the time point for felling the timber bamboo forest. The maximum absolute difference of the annual optical patch means is the maximum value among the multiple absolute differences of the annual optical patch means.

[0031] According to a remote sensing estimation method for the felling time point, growth duration, and aboveground biomass of a timber bamboo forest provided by the present invention, the method of determining the felling time point of the timber bamboo forest based on the optical patch mean value comprises:

[0032] Calculate the absolute difference of the monthly optical patch mean values ​​of any two adjacent months within month o, where the absolute difference of the monthly optical patch mean values ​​is the absolute value of the difference between the optical patch mean values ​​of the two months, and o is a positive integer;

[0033] The month corresponding to the maximum absolute difference of the monthly optical patch means is used as the time point for felling the timber bamboo forest, and the maximum absolute difference of the monthly optical patch means is the maximum value among the multiple absolute differences of the monthly optical patch means.

[0034] According to a remote sensing estimation method for the felling time, growth duration, and aboveground biomass of a timber bamboo forest provided by the present invention, the vegetation coverage is calculated based on the following formula:

[0035] ;

[0036] in, Indicates the vegetation coverage of timber bamboo forest, Represents the Normalized Difference Vegetation Index NDVI for a specific pixel, Indicates the minimum value of NDVI in the monitoring area, Indicates the maximum value of NDVI in the monitoring area.

[0037] The present invention also provides a remote sensing estimation device for the felling time, growth duration and aboveground biomass of a timber bamboo forest, comprising the following modules:

[0038] The patch segmentation module is used to perform patch segmentation on the microwave remote sensing data and the optical remote sensing data of the monitoring area, respectively, to obtain multiple microwave patches and multiple optical patches;

[0039] a mean calculation module, configured to calculate pixel means of the plurality of microwave patches and the plurality of optical patches, respectively, and obtain a microwave patch mean and an optical patch mean;

[0040] a felling area determination module, configured to determine a felling area of ​​the timber bamboo forest based on the microwave patch mean and the optical patch mean;

[0041] A time point determination module, configured to determine a time point for felling the timber bamboo forest based on the optical patch mean value;

[0042] A growth duration determination module is used to determine the growth duration of the timber bamboo forest;

[0043] The biomass determination module is used to determine the aboveground biomass based on the vegetation coverage of the timber bamboo forest and the growth time of the timber bamboo forest.

[0044] 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. When the processor executes the computer program, the remote sensing estimation method for the felling time, growth duration, and above-ground biomass of a timber bamboo forest as described above is implemented.

[0045] 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 remote sensing estimation method for the felling time, growth duration and above-ground biomass of a timber bamboo forest as described in any one of the above methods is implemented.

[0046] 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 remote sensing estimation methods for the felling time, growth duration, and above-ground biomass of a timber bamboo forest.

[0047] The present invention provides a remote sensing estimation method for the felling time, growth duration, and aboveground biomass of a timber bamboo forest. The method involves patch segmenting microwave and optical remote sensing data of a monitored area, respectively, to obtain multiple microwave patches and multiple optical patches. The pixel means of the microwave and optical patches are calculated to obtain microwave and optical patch means. The felling area of ​​the timber bamboo forest is determined based on the microwave and optical patch means. The felling time of the timber bamboo forest is determined based on the optical patch means. The aboveground biomass is determined based on the vegetation cover of the timber bamboo forest. Optical remote sensing can invert bamboo forest vegetation structure, such as leaf area index and vegetation cover, while microwave remote sensing can identify bamboo forest geometry. The backscatter coefficient comprehensively reflects surface relief, soil moisture, and geometric information. This method combines the differences between microwave and optical remote sensing data to improve the accuracy of remote sensing estimation of the felling time, growth duration, and aboveground biomass of a timber bamboo forest. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to 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 any creative work.

[0049] Figure 1 The present invention provides a flow chart of a remote sensing estimation method for the felling time, growth duration and above-ground biomass of a timber bamboo forest.

[0050] Figure 2 It is a structural schematic diagram of the remote sensing estimation device for the felling time point, growth duration and above-ground biomass of timber bamboo forest provided by the present invention.

[0051] Figure 3 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0052] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0053] It should be noted that in the description of the embodiments of the present invention, the terms "comprise," "include," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprises a..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element. Terms such as "upper" and "lower" indicate positions or location relationships based on those shown in the accompanying drawings and are intended solely for ease of description and simplification of the present invention. They are not intended to indicate or imply that the device or element referred to must have a specific orientation, be constructed, or operate in a specific orientation, and are therefore not to be construed as limiting the present invention. Unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be broadly construed, for example, to mean a fixed connection, a detachable connection, or an integral connection; a mechanical connection or an electrical connection; a direct connection or an indirect connection through an intermediate medium; or internal communication 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.

[0054] The terms "first," "second," and so forth, used herein are used to distinguish similar objects, not to describe a specific order or precedence. It should be understood that such terms are interchangeable where appropriate, allowing embodiments of the present invention to be implemented in an order other than that illustrated or described herein. Furthermore, the terms "first," "second," and so forth generally distinguish objects of a single type, and do not limit the number of objects. For example, the first object may be one or more. Furthermore, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates an "or" relationship between the connected objects.

[0055] Bamboo forests are a resource used in both industry and agriculture. Their rapid growth and strong carbon sequestration capacity make them crucial in the context of the "dual carbon" initiative. However, the lack of unified planning and management of bamboo forests makes it difficult to determine the timing of felling and estimate carbon sequestration in timber bamboo forests across different locations.

[0056] Remote sensing technology, with its multi-temporal, multi-spatial, and multi-spectral characteristics, can effectively obtain information about land cover and changes. Currently, remote sensing technology is often used to extract information such as the growth duration and felling time of bamboo forests, as well as aboveground biomass estimation, through land use classification or visual interpretation using spectral information or combined with texture information. This approach presents two problems: first, the representation of bamboo forests in optical remote sensing imagery can easily lead to "same object, different spectrum" and "same spectrum, different object" phenomena, resulting in significant discrepancies between information such as bamboo forest growth duration and felling time, and significant uncertainty in the extraction of information such as bamboo forest growth duration. Second, in many bamboo forest-growing areas, the topography varies significantly. For example, shadows and other factors can cause spectral similarities between other forests and grasses and bamboo forests, leading to uncertainty in the extraction of information about bamboo forests, grasses, and their mixed patterns. In practical applications, it is necessary to extract information about the spatiotemporal distribution of widespread forest and grass mixtures, but conventional classification or extraction methods struggle to effectively capture this information. Since bamboo forests mostly grow in the south, different spectra of the same object and different objects with the same spectrum are more obvious. In addition, since the south is cloudy and rainy, the quality of optical data has great problems.

[0057] In view of the above problems, the present invention proposes the following embodiments. Figure 1-Figure 3 The present invention describes a remote sensing estimation method for the felling time, growth duration, and aboveground biomass of a timber bamboo forest provided by an embodiment of the present invention.

[0058] Figure 1 : is a flow chart of the remote sensing estimation method for the felling time, growth duration and aboveground biomass of timber bamboo forest provided by the present invention, such as Figure 1 As shown, the method includes the following:

[0059] S110, performing patch segmentation on the microwave remote sensing data and the optical remote sensing data of the monitoring area, respectively, to obtain a plurality of microwave patches and a plurality of optical patches;

[0060] S120, respectively calculating pixel means of the plurality of microwave patches and the plurality of optical patches, and obtaining a microwave patch mean and an optical patch mean respectively;

[0061] S130, determining a timber bamboo forest felling area based on the microwave patch mean and the optical patch mean;

[0062] S140, determining a time point for felling the timber bamboo forest based on the optical patch mean value;

[0063] S150, determining the growth period of the timber bamboo forest;

[0064] S160: Determine the aboveground biomass based on the vegetation coverage of the timber bamboo forest and the growth duration of the timber bamboo forest.

[0065] It should be noted that the execution entity of the remote sensing estimation method for the felling time, growth duration and above-ground biomass of timber bamboo forests provided in the embodiment of the present invention can be a server or computer device, such as a mobile phone, tablet computer, laptop computer, PDA, ultra-mobile personal computer (UMPC), netbook, etc.

[0066] In S110, the monitoring area is the area where the timber bamboo forest needs to be monitored, and can be set according to actual conditions during the specific implementation process.

[0067] In S110, the microwave remote sensing data and optical remote sensing data of the monitoring area are high-resolution time series microwave remote sensing data and optical remote sensing data covering the current year and previous years of the monitoring area, such as Landsat data, Sentinel data, and high-resolution series data.

[0068] Optionally, in S110 , segmentation is performed by integrating spectrum and texture, and vector patches are obtained after segmentation.

[0069] In S120, the pixel averages of the plurality of microwave patches and the plurality of optical patches are calculated using the following formula:

[0070] ;

[0071] in, represents the microwave patch mean / optical patch mean, Indicates the The average value of microwave patches / optical patches, The number of plaques representing microwave plaque / optical plaque.

[0072] It should be noted that there is no strict timing restriction between S130, S140 and S160, that is, some of the steps can be executed first, and then other steps, or S130, S140 and S150 can be executed at the same time; in addition, it can be understood that S150 must be executed before executing S160.

[0073] The remote sensing estimation method for the felling time, growth duration, and aboveground biomass of a timber bamboo forest provided by an embodiment of the present invention performs patch segmentation on the microwave and optical remote sensing data of the monitored area, respectively, to obtain multiple microwave patches and multiple optical patches; calculates the pixel means of the multiple microwave patches and the multiple optical patches, respectively, to obtain the microwave patch mean and the optical patch mean; determines the felling area of ​​the timber bamboo forest based on the microwave patch mean and the optical patch mean; determines the felling time of the timber bamboo forest based on the optical patch mean; and determines the aboveground biomass based on the vegetation cover of the timber bamboo forest. Optical remote sensing can invert bamboo forest vegetation structure, such as leaf area index and vegetation cover, while microwave remote sensing can identify bamboo forest geometry. The backscatter coefficient comprehensively reflects surface relief, soil moisture, and geometric information. This solution combines the differences between microwave and optical remote sensing data to improve the accuracy of remote sensing estimation of the felling time, growth duration, and aboveground biomass of a timber bamboo forest.

[0074] In an optional embodiment, determining the timber bamboo forest felling area based on the microwave patch mean and the optical patch mean includes:

[0075] Determining a timber forest felling area identification index based on the microwave patch mean and the optical patch mean;

[0076] Determining the timber bamboo forest felling area based on the timber forest felling area identification index;

[0077] The timber forest felling area identification index is calculated based on the following formula:

[0078] ;

[0079] in, represents the timber forest felling area identification index, express The first The average optical patch value in 2018 is express The mean of the annual optical patch mean, express The first The average value of microwave patches in the year express The mean of the annual microwave patch means.

[0080] Furthermore, the determining of the timber bamboo forest felling area based on the timber forest felling area identification index includes:

[0081] If the timber forest felling area identification index is greater than a preset threshold, the monitoring area is determined to be a timber bamboo forest felling area;

[0082] If the timber forest felling area identification index is less than or equal to the preset threshold, it is determined that the monitoring area is not a timber bamboo forest felling area.

[0083] Specifically, if the timber forest felling area identification index in the monitoring area is greater than the preset threshold, the monitoring area is determined to be a timber bamboo forest felling point; if the timber forest felling area identification index in the monitoring area is not greater than the preset threshold, it is determined to be a non-feeding area.

[0084] During the specific implementation process, the preset threshold can be adaptively set according to actual usage requirements.

[0085] In an optional embodiment, the pixel means of the plurality of microwave patches are calculated based on the following steps:

[0086] Calculating the plaque mean of each microwave plaque respectively;

[0087] Determining a pixel mean based on the plaque mean of each of the microwave plaques;

[0088] Among the multiple microwave plaques, The mean value of each microwave plaque is calculated based on the following formula:

[0089] ;

[0090] in, Indicates the The mean value of the microwave plaques, represents the product of the image element values ​​of the microwave, represents the pixel value of VV polarization, Pixel value representing VH polarization.

[0091] Here, VV polarization means that both the transmitted radar wave and the received radar wave adopt vertical polarization, and VH polarization means that the transmitted radar wave adopts vertical polarization and the received radar wave adopts horizontal polarization.

[0092] In an optional embodiment, the pixel means of the plurality of optical patches are calculated based on the following steps:

[0093] Calculating the plaque mean of each optical plaque respectively;

[0094] Determining a pixel mean based on the patch mean of each of the optical patches;

[0095] Among the multiple optical spots, The patch mean of an optical patch is calculated based on the following formula:

[0096] ;

[0097] in, Indicates the The patch mean of the light wave patch, represents the normalized difference vegetation index, represents the reflectivity in the near-infrared band, Indicates the reflectivity of the red light band.

[0098] Based on any of the above embodiments, determining the time point of felling the timber bamboo forest based on the optical patch mean value includes:

[0099] Calculate the absolute difference of the annual optical patch mean values ​​of any two adjacent years within m years, where the absolute difference of the annual optical patch mean values ​​is the absolute value of the difference between the optical patch means of the two years, and m is a positive integer;

[0100] The year corresponding to the maximum absolute difference of the annual optical patch means is used as the time point for felling the timber bamboo forest. The maximum absolute difference of the annual optical patch means is the maximum value among the multiple absolute differences of the annual optical patch means.

[0101] In the embodiment of the present invention, the year corresponding to the maximum absolute difference in the annual optical patch mean values ​​is the year following the two consecutive years corresponding to the maximum absolute difference in the annual optical patch mean values. Taking m=4 as an example, the absolute difference in the annual optical patch mean values ​​between the first and second years, the absolute difference in the annual optical patch mean values ​​between the second and third years, and the absolute difference in the annual optical patch mean values ​​between the third and fourth years are calculated. If the absolute difference in the annual optical patch mean values ​​between the third and fourth years is the largest, then the fourth year is determined to be the time point for felling the timber bamboo forest.

[0102] Furthermore, the sub-annual time point for felling timber bamboo forests is determined by the following formula:

[0103] ;

[0104] like The largest, then determine the Year is the felling year;

[0105] in, It is the index for determining the felling time of timber bamboo forest (years). 、 、…、 Respectively 、 、…、 The average optical patch value in 2017.

[0106] Based on any of the above embodiments, determining the time point of felling the timber bamboo forest based on the optical patch mean value includes:

[0107] Calculate the absolute difference of the monthly optical patch mean values ​​of any two adjacent months within month o, where the absolute difference of the monthly optical patch mean values ​​is the absolute value of the difference between the optical patch mean values ​​of the two months, and o is a positive integer;

[0108] The month corresponding to the maximum absolute difference of the monthly optical patch means is used as the time point for felling the timber bamboo forest, and the maximum absolute difference of the monthly optical patch means is the maximum value among the multiple absolute differences of the monthly optical patch means.

[0109] In this embodiment of the present invention, the month corresponding to the maximum absolute difference in the monthly optical patch mean values ​​is the month following the two adjacent months corresponding to the maximum absolute difference in the monthly optical patch mean values. Taking o=4 as an example, the absolute difference in the monthly optical patch mean values ​​between the first and second months, the absolute difference in the monthly optical patch mean values ​​between the second and third months, and the absolute difference in the monthly optical patch mean values ​​between the third and fourth months are calculated. If the absolute difference in the monthly optical patch mean values ​​between the third and fourth months is the largest, then the fourth month is determined to be the time point for felling the timber bamboo forest.

[0110] Furthermore, the sub-monthly time point for felling timber bamboo forests is determined by the following formula:

[0111] ;

[0112] in, is the index for determining the time (months) of felling of timber bamboo forests. 、 、…、 Respectively 、 、…、 The average optical patch value for the month.

[0113] It should be understood that the time point for felling bamboo forests can also be determined on a smaller scale based on the satellite data revisit period, such as 5 days, 10 days, etc. Taking 10 days as an example:

[0114] ;

[0115] in, is the index for determining the time (months) of felling of timber bamboo forests. 、 、…、 Respectively 、 、…、 The average optical patch value of the month, Is a positive integer.

[0116] Based on any of the above embodiments, the vegetation coverage is calculated based on the following formula:

[0117] ;

[0118] in, Indicates the vegetation coverage of timber bamboo forest, Represents the Normalized Difference Vegetation Index NDVI for a specific pixel, Indicates the minimum value of NDVI in the monitoring area, Indicates the maximum value of NDVI in the monitoring area.

[0119] Specifically, we selected optical images from the dry season (a season with relatively little precipitation, such as the dry season from October to March in southern China) and combined them with ground survey data to estimate the aboveground biomass of bamboo forests. We then established a function of aboveground biomass and growth duration of timber bamboo forests:

[0120] ;

[0121] ;

[0122] in, Indicates the growth time of the timber bamboo forest The estimated aboveground biomass at The growth time of timber bamboo forest estimated by combining ground data When the dependent variable (aboveground biomass ) and independent variables (coverage) function, For the coverage of bamboo forest, is the soil normalized vegetation index value.

[0123] The following describes a remote sensing estimation device for the felling time, growth period, and aboveground biomass of a timber bamboo forest provided by an embodiment of the present invention. The remote sensing estimation device for the felling time, growth period, and aboveground biomass of a timber bamboo forest described below and the remote sensing estimation method for the felling time, growth period, and aboveground biomass of a timber bamboo forest described above can be referenced to each other.

[0124] Figure 2 Schematic diagram of the structure of the remote sensing estimation device for the felling time, growth duration and aboveground biomass of a timber bamboo forest provided by the present invention. Figure 2 As shown, the remote sensing estimation device for the felling time, growth duration and above-ground biomass of the timber bamboo forest may include but is not limited to:

[0125] The patch segmentation module 210 is used to perform patch segmentation on the microwave remote sensing data and the optical remote sensing data of the monitoring area, respectively, to obtain a plurality of microwave patches and a plurality of optical patches;

[0126] A mean calculation module 220 is used to calculate the pixel means of the plurality of microwave patches and the plurality of optical patches, respectively, to obtain a microwave patch mean and an optical patch mean;

[0127] A felling area determination module 230 is configured to determine a felling area of ​​the timber bamboo forest based on the microwave patch mean and the optical patch mean;

[0128] A time point determination module 240 is used to determine a time point for felling the timber bamboo forest based on the optical patch mean value;

[0129] A growth duration determination module 250 is used to determine the growth duration of the timber bamboo forest;

[0130] The biomass determination module 260 is configured to determine the aboveground biomass based on the vegetation coverage of the timber bamboo forest and the growth duration of the timber bamboo forest.

[0131] The remote sensing estimation device for the felling time, growth duration, and aboveground biomass of a timber bamboo forest provided by an embodiment of the present invention performs patch segmentation on the microwave and optical remote sensing data of a monitored area, respectively, to obtain a plurality of microwave patches and a plurality of optical patches; calculates the pixel means of the plurality of microwave patches and the plurality of optical patches, respectively, to obtain a microwave patch mean and an optical patch mean; and determines the felling area of ​​the timber bamboo forest based on the microwave patch mean and the optical patch mean. Optical remote sensing can invert the vegetation structure of the bamboo forest, such as leaf area index and vegetation cover, while microwave remote sensing can identify the geometric information of the bamboo forest, using the backscatter coefficient to comprehensively reflect surface relief, soil moisture, geometric information, and other information. This solution combines the differences between microwave and optical remote sensing data to improve the accuracy of remote sensing estimation of the felling time, growth duration, and aboveground biomass of the timber bamboo forest.

[0132] It should be noted that the remote sensing estimation device for the felling time, growth period and above-ground biomass of a timber bamboo forest provided in an embodiment of the present invention can, during specific operation, execute the remote sensing estimation method for the felling time, growth period and above-ground biomass of a timber bamboo forest described in any of the above embodiments, which will not be elaborated in this embodiment.

[0133] Figure 3 An example of a physical structure diagram of an electronic device is shown below. Figure 3As shown, the electronic device may include: a processor 310 , a communications interface 320 , a memory 330 and a communication bus 340 , wherein the processor 310 , the communications interface 320 and the memory 330 communicate with each other via the communication bus 340 . The processor 310 can call the logic instructions in the memory 330 to execute a remote sensing estimation method for the time point of felling, growth duration and above-ground biomass of a timber bamboo forest, the method including: performing patch segmentation on the microwave remote sensing data and the optical remote sensing data of the monitoring area, respectively, to obtain a plurality of microwave patches and a plurality of optical patches; calculating the pixel means of the plurality of microwave patches and the plurality of optical patches, respectively, to obtain a microwave patch mean and an optical patch mean; determining the timber bamboo forest felling area based on the microwave patch mean and the optical patch mean; determining the time point of felling the timber bamboo forest based on the optical patch mean; determining the growth duration of the timber bamboo forest; and determining the above-ground biomass based on the vegetation coverage of the timber bamboo forest and the growth duration of the timber bamboo forest.

[0134] Furthermore, the logic instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product, stored in a storage medium, includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0135] 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 remote sensing estimation method for the felling time point, growth time and above-ground biomass of the timber bamboo forest provided by the above-mentioned methods. The method includes: performing patch segmentation on the microwave remote sensing data and the optical remote sensing data of the monitoring area, respectively, to obtain a plurality of microwave patches and a plurality of optical patches; calculating the pixel means of the plurality of microwave patches and the plurality of optical patches, respectively, to obtain a microwave patch mean and an optical patch mean; determining the timber bamboo forest felling area based on the microwave patch mean and the optical patch mean; determining the time point of the timber bamboo forest felling based on the optical patch mean; determining the growth time of the timber bamboo forest; and determining the above-ground biomass based on the vegetation coverage of the timber bamboo forest and the growth time of the timber bamboo forest.

[0136] 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, implements a remote sensing estimation method for the felling time point, growth duration and above-ground biomass of a timber bamboo forest provided by the above-mentioned methods, the method comprising: performing patch segmentation on the microwave remote sensing data and the optical remote sensing data of the monitoring area, respectively, to obtain a plurality of microwave patches and a plurality of optical patches; calculating the pixel means of the plurality of microwave patches and the plurality of optical patches, respectively, to obtain a microwave patch mean and an optical patch mean; determining the timber bamboo forest felling area based on the microwave patch mean and the optical patch mean; determining the time point of the timber bamboo forest felling based on the optical patch mean; determining the growth duration of the timber bamboo forest; and determining the above-ground biomass based on the vegetation coverage of the timber bamboo forest and the growth duration of the timber bamboo forest.

[0137] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0138] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0139] 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 various embodiments of the present invention.

Claims

1. A remote sensing estimation method for the felling time, growth duration and aboveground biomass of a timber bamboo forest, characterized in that: include: Perform patch segmentation on the microwave remote sensing data and the optical remote sensing data of the monitoring area respectively, and obtain multiple microwave patches and multiple optical patches accordingly; Calculating pixel means of the plurality of microwave patches and the plurality of optical patches respectively, and obtaining a microwave patch mean and an optical patch mean respectively; Determining a timber bamboo forest felling area based on the microwave patch mean and the optical patch mean; Determining the time point for felling the timber bamboo forest based on the optical patch mean value; Determine the growth period of timber bamboo forest; The aboveground biomass is determined based on the vegetation coverage of the timber bamboo forest and the growth duration of the timber bamboo forest.

2. The remote sensing estimation method for felling time, growth duration and aboveground biomass of timber bamboo forest according to claim 1, characterized in that: The determining of the timber bamboo forest felling area based on the microwave patch mean and the optical patch mean includes: Determining a timber forest felling area identification index based on the microwave patch mean and the optical patch mean; Determining the timber bamboo forest felling area based on the timber forest felling area identification index; The timber forest felling area identification index is calculated based on the following formula: ； in, represents the timber forest felling area identification index, express The first The average optical patch value in 2018 is express The mean of the annual optical patch mean, express The first The average value of microwave patches in the year express The mean of the annual microwave patch means.

3. The remote sensing estimation method for the felling time, growth duration and aboveground biomass of a timber bamboo forest according to claim 2, characterized in that: The determining of the timber bamboo forest felling area based on the timber forest felling area identification index includes: If the timber forest felling area identification index is greater than a preset threshold, the monitoring area is determined to be a timber bamboo forest felling area; If the timber forest felling area identification index is less than or equal to the preset threshold, it is determined that the monitoring area is not a timber bamboo forest felling area.

4. The remote sensing estimation method for felling time, growth duration and aboveground biomass of a timber bamboo forest according to claim 1, characterized in that: The pixel mean of the plurality of microwave patches is calculated based on the following steps: Calculating the plaque mean of each microwave plaque respectively; Determining a pixel mean based on the plaque mean of each of the microwave plaques; Among the multiple microwave plaques, The mean value of each microwave plaque is calculated based on the following formula: ； in, Indicates the The mean value of the microwave plaques, represents the product of the image element values ​​of the microwave, represents the pixel value of VV polarization, Pixel value representing VH polarization.

5. The remote sensing estimation method for the felling time, growth duration and aboveground biomass of a timber bamboo forest according to any one of claims 1 to 4, characterized in that: Determining the time point of felling the timber bamboo forest based on the optical patch mean value includes: Calculate the absolute difference of the annual optical patch mean values ​​of any two adjacent years within m years, where the absolute difference of the annual optical patch mean values ​​is the absolute value of the difference between the optical patch means of the two years, and m is a positive integer; The year corresponding to the maximum absolute difference of the annual optical patch means is used as the time point for felling the timber bamboo forest. The maximum absolute difference of the annual optical patch means is the maximum value among the multiple absolute differences of the annual optical patch means.

6. The remote sensing estimation method for the felling time, growth duration and aboveground biomass of a timber bamboo forest according to any one of claims 1 to 4, characterized in that: Determining the time point of felling the timber bamboo forest based on the optical patch mean value includes: Calculate the absolute difference of the monthly optical patch mean values ​​of any two adjacent months within month o, where the absolute difference of the monthly optical patch mean values ​​is the absolute value of the difference between the optical patch mean values ​​of the two months, and o is a positive integer; The month corresponding to the maximum absolute difference of the monthly optical patch means is used as the time point for felling the timber bamboo forest, and the maximum absolute difference of the monthly optical patch means is the maximum value among the multiple absolute differences of the monthly optical patch means.

7. The remote sensing estimation method for the felling time, growth duration and aboveground biomass of a timber bamboo forest according to any one of claims 1 to 4, characterized in that: The vegetation coverage is calculated based on the following formula: ； in, Indicates the vegetation coverage of timber bamboo forest, Represents the Normalized Difference Vegetation Index NDVI for a specific pixel, Indicates the minimum value of NDVI in the monitoring area, Indicates the maximum value of NDVI in the monitoring area.

8. A remote sensing estimation device for the felling time, growth duration and aboveground biomass of a timber bamboo forest, characterized in that: include: The patch segmentation module is used to perform patch segmentation on the microwave remote sensing data and the optical remote sensing data of the monitoring area, respectively, to obtain multiple microwave patches and multiple optical patches; a mean calculation module, configured to calculate pixel means of the plurality of microwave patches and the plurality of optical patches, respectively, and obtain a microwave patch mean and an optical patch mean; a felling area determination module, configured to determine a felling area of ​​the timber bamboo forest based on the microwave patch mean and the optical patch mean; A time point determination module, configured to determine a time point for felling the timber bamboo forest based on the optical patch mean value; A growth duration determination module is used to determine the growth duration of the timber bamboo forest; The biomass determination module is used to determine the aboveground biomass based on the vegetation coverage of the timber bamboo forest and the growth time of the timber bamboo forest.

9. 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 remote sensing estimation method for the felling time, growth duration and above-ground biomass of a timber bamboo forest as claimed in any one of claims 1 to 7 is implemented.

10. 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 remote sensing estimation method for the felling time, growth duration and above-ground biomass of a timber bamboo forest as claimed in any one of claims 1 to 7 is implemented.

11. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the remote sensing estimation method for the felling time, growth duration and above-ground biomass of a timber bamboo forest as claimed in any one of claims 1 to 7 is implemented.

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