A forest resource monitoring method and device based on unmanned aerial vehicle aerial survey technology

Abstract

The application discloses a forest resource monitoring method and device based on unmanned aerial vehicle aerial survey technology, and relates to the technical field of forest resource monitoring.The method comprises the following steps: controlling a target unmanned aerial vehicle to fly above a target forest resource area according to a target preset monitoring route; taking multiple-angle photos of the target forest resource area every target preset time interval, including taking photos in the vertical ground direction, to obtain multiple target forest photos with positioning data; judging whether the target forest photos contain a target treeless area; if yes, judging whether the target treeless area contains a target log; if yes, judging whether the target log is a log left after a forest management personnel cuts a tree; and if not, judging that the target forest resource area contains illegal logging activities.The application can timely monitor an area where forest resources are cut down without requiring a large number of human resources, accurately locate the area where trees are cut down, and send the tree cutting information to a forest management department for processing.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology for forest resource management, and in particular to a forest resource monitoring method and device based on unmanned aerial vehicle (UAV) aerial survey technology. Background Art

[0002] Currently, since large areas of forested areas (especially pristine forests) are uninhabited or rarely inhabited, relying on manual labor for round-the-clock monitoring is difficult. Relying on manual field surveys is not only labor-intensive and inefficient, but also makes it difficult to conduct frequent inspections of large, remote forest areas. This results in lengthy data update cycles and makes it difficult to capture dynamic changes in forest resources. Meanwhile, while satellite remote sensing technology can provide macro-scale data, its limited resolution makes it difficult to precisely identify forest floor conditions. The maturity of drone aerial surveying technology has expanded its application scope. For example, drones can be used to collect imagery of vast forests for forest resource monitoring. However, existing drone surveying techniques cannot identify deforestation and illegal construction. Summary of the Invention

[0003] Based on this, it is necessary to propose a forest resource monitoring method and device based on UAV aerial survey technology to address the above problems, so as to solve the following problems of the existing technology: In the existing technology, UAV aerial survey cannot identify deforestation and illegal buildings.

[0004] The first technical solution of the embodiment of the present invention is:

[0005] A forest resource monitoring method based on unmanned aerial vehicle (UAV) aerial survey technology comprises: controlling a target UAV to fly at a constant speed above a target forest resource area at a target preset altitude according to a target preset monitoring route; photographing the target forest resource area from multiple angles, including photographing in a direction perpendicular to the ground, at target preset time intervals to obtain multiple target forest photos with positioning data; determining whether the target forest photo contains a target treeless area, wherein the area of ​​the treeless area is larger than a target preset area; if so, determining whether the target treeless area contains target wood, wherein the target wood is wood left after a tree trunk is cut; if so, determining whether the target wood is wood left after a forest manager cuts the tree; if not, determining that illegal logging activities exist in the target forest resource area, and sending the position coordinates corresponding to the target treeless area to a designated address.

[0006] The second technical solution of the embodiment of the present invention is:

[0007] A forest resource monitoring device based on unmanned aerial vehicle (UAV) aerial survey technology comprises: a forest flight module for controlling a target UAV to fly at a constant speed above a target forest resource area at a preset target altitude according to a preset target monitoring route; a forest photography module for photographing the target forest resource area at multiple angles, including vertically to the ground, at preset target intervals to obtain multiple target forest photos with positioning data; a first determination module for determining whether a target treeless area exists in the target forest photo, wherein the area of ​​the treeless area is greater than a preset target area; a second determination module for determining whether a target wood exists in the target treeless area when the target treeless area exists in the target forest photo, wherein the target wood is wood left after a tree trunk is cut; a third determination module for determining whether the target wood exists in the target treeless area when the target wood is left by a forest manager after the tree is cut; and a felling determination module for determining whether illegal felling has occurred in the target forest resource area when the target wood is not wood left by the forest manager after the tree is cut, and transmitting the location coordinates corresponding to the target treeless area to a designated address.

[0008] The third technical solution of the embodiment of the present invention is:

[0009] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the following steps:

[0010] According to the target preset monitoring route, the target UAV is controlled to fly at a constant speed above the target forest resource area at the target preset altitude; every target preset time period, the target forest resource area is photographed from multiple angles including vertical ground direction to obtain multiple target forest photos with positioning data; it is determined whether there is a target treeless area in the target forest photo, wherein the area of ​​the treeless area is larger than the target preset area; if so, it is determined whether there is a target wood in the target treeless area, wherein the target wood is the wood left after the tree trunk is cut; if so, it is determined whether the target wood is the wood left after the forest management personnel cut the tree; if not, it is determined that there is illegal logging in the target forest resource area, and the position coordinates corresponding to the target treeless area are sent to the designated address.

[0011] The fourth technical solution of the embodiment of the present invention is:

[0012] A computer-readable storage medium stores a computer program, which, when executed by a processor, causes the processor to perform the following steps:

[0013] According to the target preset monitoring route, the target UAV is controlled to fly at a constant speed above the target forest resource area at the target preset altitude; every target preset time period, the target forest resource area is photographed from multiple angles including vertical ground direction to obtain multiple target forest photos with positioning data; it is determined whether there is a target treeless area in the target forest photo, wherein the area of ​​the treeless area is larger than the target preset area; if so, it is determined whether there is a target wood in the target treeless area, wherein the target wood is the wood left after the tree trunk is cut; if so, it is determined whether the target wood is the wood left after the forest management personnel cut the tree; if not, it is determined that there is illegal logging in the target forest resource area, and the position coordinates corresponding to the target treeless area are sent to the designated address.

[0014] Compared with the prior art, the present invention has the following beneficial effects:

[0015] The present invention first obtains multiple target forest photos with positioning data by photographing the target forest resource area from multiple angles, including photographing in the direction perpendicular to the ground. Then, it is determined whether there is a target treeless area in the target forest photo. If so, it is determined whether there is a target wood in the target treeless area. Finally, it is determined whether the target wood is the wood left after the forest management personnel cut the trees. If not, it is determined that there is illegal logging in the target forest resource area, and the position coordinates corresponding to the target treeless area are sent to a designated address. Under the premise of not requiring a large amount of manpower participation, the area where forest resources are cut down can be monitored in time, the area where trees are cut down can be accurately located, and the tree cutting information can be sent to the forest management office for processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in 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 only 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.

[0017] in:

[0018] Figure 1 This is a flowchart of an implementation method of a forest resource monitoring method based on UAV aerial survey technology in one embodiment;

[0019] Figure 2 This is a flowchart of another implementation of a forest resource monitoring method based on UAV aerial survey technology in one embodiment;

[0020] Figure 3This is a framework diagram of an implementation scheme of a forest resource monitoring device based on UAV aerial survey technology in one embodiment;

[0021] Figure 4 It is a structural block diagram of an implementation scheme of a computer device in one embodiment. DETAILED DESCRIPTION

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0023] In one embodiment, see Figure 1 , combined with Figure 1 It can be seen that a forest resource monitoring method based on UAV aerial survey technology according to an embodiment of the present invention includes the following steps:

[0024] Step S101: According to a target preset monitoring route, the target UAV is controlled to fly at a constant speed above the target forest resource area at a target preset altitude.

[0025] In this step, the target monitoring route is the drone's pre-set flight path. The target altitude is the drone's altitude above the treetops, also pre-set. The drone flies at a constant speed over the target forest resource area, continuously capturing photos of the forest. These photos provide insights into forest changes.

[0026] Step S102: photographing the target forest resource area from multiple angles, including vertical ground direction, every target preset time period to obtain multiple target forest photos with positioning data.

[0027] In this step, the target preset duration is an empirical threshold value with no value restriction. It can be selected in the range of 0.1-0.01 seconds and is determined according to the terrain.

[0028] Among them, the shooting direction of the drone is mainly perpendicular to the ground, because the growth direction of trees is basically perpendicular to the ground. The drone shoots perpendicular to the ground, which makes it easier to shoot open areas (that is, treeless areas in the forest).

[0029] Step S103: determining whether there is a target treeless area in the target forest photo, wherein the area of ​​the treeless area is larger than a target preset area.

[0030] In this step, the target treeless area refers to an open area where no leaves on the front can be photographed but there are trees around it. The target preset area is an empirical threshold, preferably the area of ​​the open area left after cutting down several trees.

[0031] Step S104: If there is a target treeless area in the target forest photo, it is determined whether there is a target wood in the target treeless area, where the target wood is the wood left after the trunk of the tree is cut.

[0032] In this step, the trees are usually cut horizontally, with the cut surface parallel to the ground. The drone can capture the image and texture of the wood by shooting from top to bottom.

[0033] If the drone cannot capture a clear view of the ground due to various reasons (such as light), the constant speed flight mode will be suspended, and the drone will be controlled to hover above the ground and slowly descend to an appropriate height before taking pictures again. This process will continue until the clarity of the picture exceeds the preset clarity. After the picture is taken, the drone will resume flying and shooting at the preset altitude.

[0034] Step S105: If there is a target piece of wood in the target treeless area, it is determined whether the target piece of wood is the wood left after the forest manager cuts down the trees.

[0035] In this step, the target wood in the target treeless area may be the result of normal and legal tree felling, or it may be the result of illegal and random tree felling, which requires further confirmation.

[0036] In this step, optionally, the position coordinates of the target treeless area can be used for judgment. If the target treeless area is a legal felling area where trees have been felled before (based on its coordinate position and legal felling record data), then the target wood is determined to be the wood left after the forest management personnel cut the trees. Otherwise, the target wood is determined to be the wood left after the forest was cut down indiscriminately.

[0037] For example, if some trees in the target treeless area have been previously cut down, and the forest resource management office has kept relevant records (legal or illegal cutting), the tree cutting status in the target treeless area can be determined by simply querying the relevant records. If there is no record of previous cutting in the target treeless area, then it means that illegal cutting has occurred in the target treeless area currently captured by the drone.

[0038] Step S106: If the target wood is not the wood left after the forest manager cuts down the trees, it is determined that there is illegal logging in the target forest resource area, and the location coordinates corresponding to the target treeless area are sent to a designated address.

[0039] In this step, the designated address refers to the relevant processing department to deal with the problem of indiscriminate logging of forest resources in a timely manner.

[0040] In another embodiment, see Figure 2 , combined with Figure 2 It can be seen that a forest resource monitoring method based on UAV aerial survey technology according to an embodiment of the present invention includes the following steps:

[0041] Step S201: photographing the target forest resource area from multiple angles, including vertical ground direction, every target preset time period to obtain multiple target forest photos with positioning data.

[0042] Prior to this step, the target UAV is controlled to fly at a constant speed above the target forest resource area at a target preset altitude according to the target preset monitoring route.

[0043] In this step, the target preset duration is an empirical threshold value with no value restriction. It can be selected in the range of 0.1-0.01 seconds and is determined according to the terrain.

[0044] Among them, the shooting direction of the drone is mainly perpendicular to the ground, because the growth direction of trees is basically perpendicular to the ground. The drone shoots perpendicular to the ground, which makes it easier to shoot open areas (that is, treeless areas in the forest).

[0045] Step S202: determining whether there are multiple front leaf images in the target forest photo, wherein the front leaf images are leaf images of normal trees facing the sky.

[0046] In this step, determining whether there are multiple frontal leaf images in the target forest photo includes:

[0047] The target forest photo is compared with a target normal leaf photo pre-stored in a target database to determine whether there is a part on the target forest photo that is similar to the target normal leaf photo, and the similarity is greater than the target preset leaf similarity, wherein there are multiple front leaf images on the target normal leaf photo.

[0048] Among them, the camera of the drone shoots downwards the trees growing upwards, and the leaves photographed are the front leaves. Optionally, different kinds of leaves are different, so the front leaf images in this step also refer to the front leaf images of various trees. After comparing them separately and meeting the requirements (whether there is a part in the target forest photo that is similar to the target normal leaf photo, and the similarity is greater than the target preset leaf similarity), it can be determined whether there are multiple front leaf images in the target forest photo.

[0049] Step S203: If there are multiple front leaf images in the target forest photo, it is determined that there is a target treeless area in the target forest photo.

[0050] In this step, if there is a portion on the target forest photo that is similar to the target normal leaf photo, and the similarity is greater than the target preset leaf similarity, it is determined that there are multiple front leaf images on the target forest photo, and then it is determined that there is a target treeless area in the target forest photo.

[0051] Step S204: determining whether there is a target piece of wood in the target treeless area, wherein the target piece of wood is the wood left after the trunk of a tree is cut.

[0052] In this step, determining whether there is a target piece of wood in the target treeless area includes:

[0053] First, it is determined whether there are multiple images of wood left after felling in the target forest photo, wherein the images of wood left after felling have tree growth ring patterns and some tree fragments nearby.

[0054] Second, if there are multiple images of trees left after felling in the target forest photo, it is determined that the target trees exist in the target treeless area.

[0055] The step of determining whether there are multiple images of felled wood in the target forest photo includes:

[0056] First, the target forest photo is compared with target normal wood photos pre-stored in a target database to determine whether there are parts in the target forest photo that are similar to the target normal wood photos, and the similarity is greater than the target preset wood similarity, wherein the target normal wood photos are multiple normal wood images left after the forest is cut down.

[0057] Second, if there is a portion in the target forest photo that is similar to the target normal wood photo, and the similarity is greater than the target preset wood similarity, it is determined that there are multiple images of the wood left after felling in the target forest photo.

[0058] Step S205: If there is a target piece of wood in the target treeless area, it is determined whether the target piece of wood is wood left after the forest manager cuts down the trees.

[0059] In this step, determining whether the target wood is wood left after forest managers cut down trees includes:

[0060] First, information about the presence of the target wood in the target treeless area is sent to the target forest management office. Upon receiving the information about the presence of the target wood in the target treeless area, the forest management office staff manually determines that if there has been no legal logging in the target treeless area before, the target treeless area is considered to have been illegally logged. The UAV is then notified of the illegal logging. Otherwise, the UAV is notified of the legal logging.

[0061] Second, it is determined whether the target illegal logging information returned by the target forest management office is received within a preset time period.

[0062] The preset duration is an empirical threshold and is not limited here.

[0063] Third, if the target illegal felling information returned by the target forest management office is received within a preset time period, it is determined that the target wood is not the wood left after the forest management office cuts the tree.

[0064] Optionally, whether the target wood is wood left after forest managers cut down trees can be determined by the following method:

[0065] The target treeless area can be judged by its location coordinates. If the target treeless area is a legal felling area where trees have been felled before (based on its coordinate position and legal felling record data), then the target wood is determined to be the wood left after the forest management personnel cut the trees. Otherwise, the target wood is determined to be the wood left by human illegal felling.

[0066] Step S206: If the target wood is not the wood left after the forest manager cuts down the trees, it is determined that there is illegal logging in the target forest resource area, and the location coordinates corresponding to the target treeless area are sent to a designated address.

[0067] In this step, the designated address refers to the relevant processing department to deal with the problem of indiscriminate logging of forest resources in a timely manner.

[0068] Step S207: Determine whether there is a target illegal building in the target forest resource area;

[0069] In this step, optionally, it is determined that there is illegal logging in the target forest resource area, and the location coordinates corresponding to the target treeless area are sent to a designated address, which then includes:

[0070] First, determine whether there is a target building in the target forest photo.

[0071] The step of determining whether a target building exists in the target forest photo includes:

[0072] First, the target forest photo is compared with various target forest aerial building photos pre-stored in the target database to determine whether there is a part in the target forest photo that is similar to the target forest aerial building photo, and the similarity is greater than the target preset building similarity.

[0073] Secondly, if there is a portion on the target forest photo that is similar to the target forest aerial building photo, and the similarity is greater than the target preset building similarity, it is determined that the target building exists on the target forest photo.

[0074] Second, if there is a target building in the target forest photo, it is determined whether the target building is a target illegal building.

[0075] Among them, whether the target building is a target illegal building can be judged by the position coordinates of the target tree-free area. If the target tree-free area is an area where a legal building previously existed (based on its coordinate position and the recorded data of the legal building), then the target building is determined not to be a target illegal building; otherwise, the target building is determined to be a target illegal building.

[0076] Third, if the target building is a target illegal building, it is determined that the target illegal building exists in the target forest resource area.

[0077] Step S208: Sending the location coordinates corresponding to the target treeless area to a designated address.

[0078] In this step, the designated address refers to the relevant processing department to deal with the problem of indiscriminate logging of forest resources in a timely manner.

[0079] In another embodiment, see Figure 3 , combined with Figure 3 It can be seen that the forest resource monitoring device 100 based on the UAV aerial survey technology according to an embodiment of the present invention includes:

[0080] The forest flight module 10 is used to control the target UAV to fly at a constant speed above the target forest resource area at a target preset altitude according to the target preset monitoring route.

[0081] The forest shooting module 20 is used to shoot the target forest resource area from multiple angles, including shooting in the vertical direction of the ground, every target preset time period to obtain multiple target forest photos with positioning data.

[0082] The first determination module 30 is configured to determine whether there is a target treeless area in the target forest photo, wherein the area of ​​the treeless area is larger than a target preset area.

[0083] The second judgment module 40 is configured to judge whether there is a target wood in the target treeless area when the target forest photo contains the target treeless area, wherein the target wood is the wood left after the trunk of the tree is cut.

[0084] The third judgment module 50 is configured to judge whether the target wood is the wood left after the forest managers cut down the trees when the target wood exists in the target treeless area.

[0085] The felling determination module 60 is used to determine that there is illegal felling in the target forest resource area when the target wood is not the wood left after the forest manager cuts the trees, and send the location coordinates corresponding to the target treeless area to a designated address.

[0086] The forest resource monitoring device 100 of this embodiment further includes:

[0087] The building judgment module (not shown in the figure) is used to determine whether there are target illegal buildings in the target forest resource area.

[0088] The illegal building alarm module (not shown in the figure) is used to send the location coordinates corresponding to the target treeless area to a designated address.

[0089] In another embodiment, Figure 4 FIG1 shows an internal structure diagram of a computer device in an embodiment. The computer device can be a terminal or a server. Figure 4 As shown, the computer device includes a processor, a memory and a network interface connected via a device bus. Among them, the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating device and may also store a computer program. When the computer program is executed by the processor, the processor can implement the above-mentioned forest resource monitoring method based on drone aerial survey technology. The internal memory may also store a computer program. When the computer program is executed by the processor, the processor can implement the above-mentioned forest resource monitoring method based on drone aerial survey technology. Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0090] In another embodiment, a computer device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the following steps:

[0091] According to the target preset monitoring route, the target UAV is controlled to fly at a constant speed above the target forest resource area at the target preset altitude; every target preset time period, the target forest resource area is photographed from multiple angles including vertical ground direction to obtain multiple target forest photos with positioning data; it is determined whether there is a target treeless area in the target forest photo, wherein the area of ​​the treeless area is larger than the target preset area; if so, it is determined whether there is a target wood in the target treeless area, wherein the target wood is the wood left after the tree trunk is cut; if so, it is determined whether the target wood is the wood left after the forest management personnel cut the tree; if not, it is determined that there is illegal logging in the target forest resource area, and the position coordinates corresponding to the target treeless area are sent to the designated address.

[0092] In another embodiment, a computer-readable storage medium is provided, storing a computer program. When the computer program is executed by a processor, the processor is caused to perform the following steps:

[0093] According to the target preset monitoring route, the target UAV is controlled to fly at a constant speed above the target forest resource area at the target preset altitude; every target preset time period, the target forest resource area is photographed from multiple angles including vertical ground direction to obtain multiple target forest photos with positioning data; it is determined whether there is a target treeless area in the target forest photo, wherein the area of ​​the treeless area is larger than the target preset area; if so, it is determined whether there is a target wood in the target treeless area, wherein the target wood is the wood left after the tree trunk is cut; if so, it is determined whether the target wood is the wood left after the forest management personnel cut the tree; if not, it is determined that there is illegal logging in the target forest resource area, and the position coordinates corresponding to the target treeless area are sent to the designated address.

[0094] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0095] The embodiment of the present invention first obtains multiple target forest photos with positioning data by shooting the target forest resource area from multiple angles, including shooting in the vertical direction of the ground. Then, it is determined whether there is a target treeless area in the target forest photo. If so, it is determined whether there is a target wood in the target treeless area. Finally, it is determined whether the target wood is the wood left after the forest management personnel cut the trees. If not, it is determined that there is illegal logging in the target forest resource area, and the position coordinates corresponding to the target treeless area are sent to a designated address. Under the premise of not requiring a large amount of manpower, the area where forest resources are cut down can be monitored in a timely manner, the area where trees are cut down can be accurately located, and the tree cutting information can be sent to the forest management office for processing. In addition, the present invention can also timely discover illegal construction in the forest resource area and send the information on illegal forest construction to the forest management office for processing.

[0096] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0097] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A forest resource monitoring method based on UAV aerial survey technology, characterized in that: include: According to the preset monitoring route of the target, the target UAV is controlled to fly at a constant speed above the target forest resource area at the preset altitude; At predetermined target intervals, the target forest resource area is photographed from multiple angles, including vertical ground direction, to obtain multiple target forest photos with positioning data; Determining whether there is a target treeless area in the target forest photo, wherein the area of ​​the treeless area is larger than a target preset area; If so, determining whether there is a target wood in the target treeless area, wherein the target wood is the wood left after the trunk of a tree is cut; If so, determining whether the target wood is wood left after forest managers cut down trees; If not, it is determined that there is illegal logging in the target forest resource area, and the location coordinates corresponding to the target treeless area are sent to a designated address; The step of determining whether the target forest photo contains a target treeless area includes: Determining whether there are multiple frontal leaf images in the target forest photo, wherein the frontal leaf images are leaf images of normal trees facing the sky; If not, determining that the target forest photo has the target treeless area; The determining whether there are multiple frontal leaf images in the target forest photo includes: Comparing the target forest photo with a target normal leaf photo pre-stored in a target database, determining whether there is a portion in the target forest photo that is similar to the target normal leaf photo, and the similarity is greater than a target preset leaf similarity, wherein the target normal leaf photo contains multiple frontal leaf images; If so, determining that there are multiple frontal leaf images in the target forest photo; The step of determining whether there is a target piece of wood in the target treeless area includes: Determining whether there are multiple images of wood left after felling in the target forest photo; If so, it is determined that the target wood exists in the target treeless area.

2. The forest resource monitoring method based on UAV aerial survey technology according to claim 1 is characterized in that: The determining whether there are multiple images of wood left after felling in the target forest photo includes: Comparing the target forest photo with target normal wood photos pre-stored in a target database to determine whether there are portions in the target forest photo that are similar to the target normal wood photos, and the similarity is greater than a target preset wood similarity, wherein the target normal wood photos are multiple normal wood images left after the forest is cut down; If so, it is determined that there are multiple images of the wood left after felling in the target forest photo.

3. The forest resource monitoring method based on UAV aerial survey technology according to claim 1 is characterized in that: The determining whether the target wood is wood left after a forest manager cuts down a tree comprises: sending information that the target wood exists in the target treeless area to a target forest management office; Determining whether the target illegal logging information returned by the target forest management office is received within a preset time period; If so, it is determined that the target wood is not the wood left after the forest manager cuts down the tree.

4. The forest resource monitoring method based on UAV aerial survey technology according to claim 1 is characterized in that: The method further comprises: determining whether illegal logging activities exist in the target forest resource area and sending the location coordinates corresponding to the target treeless area to a designated address; Determining whether a target building exists in the target forest photo; If so, determining whether the target building is a target illegal building; If so, it is determined that there is a target illegal building in the target forest resource area; The step of determining whether a target building exists in the target forest photo includes: Comparing the target forest photo with various target forest aerial photos of buildings pre-stored in a target database, and determining whether the target forest photo has a portion similar to the target forest aerial photo of the building, and whether the similarity is greater than the similarity to the target preset building; If so, it is determined that the target building exists in the target forest photo.

5. A forest resource monitoring device based on drone aerial survey technology, characterized in that: include: The forest flight module is used to control the target drone to fly at a constant speed above the target forest resource area at a preset altitude according to the target preset monitoring route; A forest photography module is used to photograph the target forest resource area from multiple angles, including vertical ground direction, at target preset time intervals to obtain multiple target forest photos with positioning data; a first determining module, configured to determine whether there is a target treeless area in the target forest photo, wherein the area of ​​the treeless area is larger than a target preset area; a second judgment module, configured to judge whether there is a target wood in the target treeless area when the target forest photo contains the target treeless area, wherein the target wood is the wood left after the trunk of the tree is cut; a third judgment module, configured to, when the target wood exists in the target treeless area, judge whether the target wood is wood left after forest managers cut down trees; a felling determination module, configured to determine that there is illegal felling in the target forest resource area when the target wood is not wood left after the forest manager cuts down trees, and to send the location coordinates corresponding to the target treeless area to a designated address; The step of determining whether the target forest photo contains a target treeless area includes: Determining whether there are multiple frontal leaf images in the target forest photo, wherein the frontal leaf images are leaf images of normal trees facing the sky; If not, determining that the target forest photo has the target treeless area; The determining whether there are multiple frontal leaf images in the target forest photo includes: Comparing the target forest photo with a target normal leaf photo pre-stored in a target database, determining whether there is a portion in the target forest photo that is similar to the target normal leaf photo, and the similarity is greater than a target preset leaf similarity, wherein the target normal leaf photo contains multiple frontal leaf images; If so, determining that there are multiple frontal leaf images in the target forest photo; The step of determining whether there is a target piece of wood in the target treeless area includes: Determining whether there are multiple images of wood left after felling in the target forest photo; If so, it is determined that the target wood exists in the target treeless area.

6. A computer-readable storage medium, characterized in that A computer program is stored, and when the computer program is executed by a processor, the processor is caused to execute the forest resource monitoring method based on UAV aerial survey technology as described in any one of claims 1 to 4.

7. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the forest resource monitoring method based on the UAV aerial survey technology as described in any one of claims 1 to 4.

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