Forestry reconnaissance engineering construction method

Abstract

The invention relates to the technical field of forestry safety survey, and discloses a forestry survey engineering construction method, which comprises the following steps: firstly, entering a target forest region, and enabling survey personnel to complete field investigation on trees in the target forest region by observing the appearance characteristics of the trees, sampling and analyzing or using professional forestry tools; different tree species are classified and counted, at the same time, the ages of the trees are recorded, these surveys are referred to as early surveys, GPS receivers or devices are placed at key locations within a target forest region, the GPS receivers or devices are utilized to record the accurate geographic coordinates of each survey point for geographic reference for subsequent measurement and analysis, and the accuracy of the survey points is improved. The step is to ensure the geographic accuracy of subsequent data. According to the method, various sensors are arranged in the target forest area to monitor various data of the target forest area, so that the times of entering the target forest area to track data change and monitor ecological system health by reconnaissance personnel can be reduced, the workload of the reconnaissance personnel is further reduced, and the monitoring difficulty is greatly reduced.

Description

Technical Field

[0001] This invention relates to the field of forestry safety surveying technology, specifically a construction method for forestry surveying projects. Background Technology

[0002] Forestry survey engineering construction is an important part of forestry survey. Through data collection, resource assessment, planning and design, environmental protection and construction risk management, it provides a scientific basis for forestry development and ensures the sustainable use and protection of forestry resources.

[0003] Traditional forestry surveying methods primarily involve investigating and analyzing forest resources. These surveys typically involve dividing the area into zones and examining the trees within those zones. Since there are numerous survey points, each survey requires searching for them. Furthermore, the dense forest environment, complex terrain, and the need for long-term, periodic surveys to track data changes and monitor ecosystem health present continuous challenges, are time-consuming and labor-intensive, increase the workload of survey personnel, and significantly enhance the difficulty of monitoring. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a construction method for forestry survey engineering, which solves the problem that tracking data changes and monitoring ecosystem health requires long-term and regular surveys, resulting in time-consuming and labor-intensive surveys, increased workload for survey personnel, and thus greatly increased monitoring difficulty.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a construction method for forestry survey engineering, comprising the following steps:

[0006] Step 1: First, enter the target forest area. Surveyors can conduct field surveys of the trees in the target forest area by observing the appearance characteristics of the trees, taking samples for analysis, or using professional forestry tools. They can classify and count different tree species and record the age of the trees. This survey is called the preliminary survey.

[0007] Step 2: Place GPS receivers or devices at key locations within the target forest area from Step 1, and use the GPS receivers or devices to record the accurate geographic coordinates of each survey point for geographic reference in subsequent measurements and analysis. This step is to ensure the geographic accuracy of subsequent data.

[0008] Step 3: Place multiple sensors of various types in the target area from Step 1, including meteorological sensors, soil sensors, water quality sensors, ecological sensors, and atmospheric sensors;

[0009] Step 4: Collect soil samples from different areas of the target forest area in Step 1. Place these soil samples in the laboratory for analysis to assess soil texture, nutrient content, soil pH, soil organic matter content, soil moisture content, soil microorganisms, soil toxicity, and soil erosion potential. Based on the soil information, the growth and health of the forest can be assessed, and soil management strategies can be developed.

[0010] Step 5: Integrate the laboratory analysis data from Steps 1, 2 and 4 into a Geographic Information System (GIS) to facilitate the creation of a detailed forest map. This map includes tree distribution, soil texture, and GPS coordinates of the survey points. The GIS then visualizes this information to help participants better understand the geographical features and resource distribution of the forest area.

[0011] Step Six: Establish interdisciplinary and multi-stakeholder collaboration to jointly develop monitoring plans, share data and best practices to improve the efficiency and accuracy of monitoring, while encouraging public and local community participation in ecosystem monitoring. Provide relevant training to public and local community participants before monitoring, and provide detailed forest area maps from Step Five to interdisciplinary and multi-stakeholder participants, public participants, and local community participants.

[0012] Preferably, the preliminary survey in step one also includes collecting meteorological data and land use information. The professional forestry tools in step one include laser rangefinders, diameter measuring tools, breast height and diameter measuring instruments, soil sampling tools, field notebooks and surveying tools, GPS devices, tree identification books and applications, field tool kits, microscopes and laboratory equipment, forestry calculators, sonar instruments and logging planning and forest management software.

[0013] Preferably, in step three, the meteorological sensors include temperature sensors, humidity sensors, wind speed and direction sensors, rainfall sensors, and radiation sensors; the soil sensors include soil moisture sensors, soil temperature sensors, soil pH sensors, and soil conductivity sensors; the water quality sensors include dissolved oxygen sensors, pH sensors, turbidity sensors, water temperature sensors, and water level sensors; the ecological sensors include cameras and infrared sensors, audio sensors, and tree sensors; and the atmospheric sensors include gas sensors, particulate matter sensors, and radar and lidar.

[0014] Preferably, in step one, sufficient planning needs to be done in advance before entering the target forest area, including route planning, equipment preparation and resource management, and ensuring that all necessary tools, equipment and supplies are properly arranged to deal with possible problems, while requiring good logistical support.

[0015] Preferably, in step four, when assessing the growth and health of the forest based on soil information, factors such as climate, water resources, vegetation type, and human disturbance should also be considered to make the assessment more comprehensive.

[0016] Preferably, the soil management strategy in step four is a plan or action plan that takes a series of measures and methods to improve soil quality, protect soil resources, promote crop production and ecosystem health.

[0017] Preferably, the geographic information system in step five is a computer system that combines geospatial information with attribute data and stores, manages, analyzes, and visualizes it. Therefore, the geographic information system can be used to acquire, store, organize, query, analyze, and display geographic data, thereby helping people understand geospatial relationships and make decisions.

[0018] Preferably, the ground and laboratory data integrated into the geographic information system in step five includes tree distribution maps, soil quality maps, and environmentally sensitive area markers. In step three, the laser rangefinder is a laser rangefinder array, which includes multiple laser rangefinder units for simultaneously measuring the height and diameter of multiple trees.

[0019] Preferably, the survey data is transmitted and stored in real time via a mobile terminal device, which is a smartphone or tablet computer.

[0020] Preferably, the survey data is processed and analyzed on a cloud computing platform, which includes data analysis tools for generating forest management recommendations. The preliminary survey and data integration process is completed with the support of an automated system, which includes automated machine learning algorithms for generating forest management recommendations based on ground and remote sensing data.

[0021] This invention provides a construction method for forestry survey engineering. It has the following beneficial effects:

[0022] 1. This invention monitors various data in the target forest area by placing multiple sensors of various types in the target forest area, and conducts multi-faceted monitoring in conjunction with interdisciplinary and multi-stakeholder, public and local community participants. This reduces the number of times surveyors need to enter the target forest area to track data changes and monitor ecosystem health, thereby saving time and effort, reducing the workload of surveyors, and thus greatly reducing the difficulty of monitoring.

[0023] 2. This invention enables planned logging through the establishment of a sustainable forest management plan. It also allows for timely updates based on tree growth and forest changes. Furthermore, it leverages interdisciplinary and multi-stakeholder, public, and local community participation to assist in monitoring, thereby reducing the number of surveys required in remote or isolated areas and thus mitigating geographical limitations during forestry surveys. Detailed Implementation

[0024] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0025] Example:

[0026] This invention provides a construction method for forestry survey engineering, comprising the following steps:

[0027] Step 1: First, enter the target forest area. Surveyors can conduct field surveys of the trees in the target forest area by observing the appearance characteristics of the trees, taking samples for analysis, or using professional forestry tools. They can classify and count different tree species and record the age of the trees. This survey is called the preliminary survey.

[0028] Step 2: Place GPS receivers or devices at key locations within the target forest area from Step 1, and use the GPS receivers or devices to record the accurate geographic coordinates of each survey point for geographic reference in subsequent measurements and analysis. This step is to ensure the geographic accuracy of subsequent data.

[0029] Step 3: Place multiple sensors of various types in the target area from Step 1, including meteorological sensors, soil sensors, water quality sensors, ecological sensors, and atmospheric sensors;

[0030] Step 4: Collect soil samples from different areas of the target forest area in Step 1. Place these soil samples in the laboratory for analysis to assess soil texture, nutrient content, soil pH, soil organic matter content, soil moisture content, soil microorganisms, soil toxicity, and soil erosion potential. Based on the soil information, the growth and health of the forest can be assessed, and soil management strategies can be developed.

[0031] Specifically, when assessing forest growth and health based on soil information, statistical methods are required. These methods utilize the following formulas:

[0032] Standard deviation = √(Σ(xi-μ)2 / n), where Σ represents the sum, xi represents each data point, μ represents the mean, and n represents the number of data points;

[0033] The correlation coefficient is used to measure the degree of association between two variables, and its formula is:

[0034] Where xi and yi represent the data points of two variables. and The mean;

[0035] Linear regression is used to build a linear model to describe the relationship between two variables:

[0036] Linear regression formula: y = β0 + β1x, where y is the dependent variable, x is the independent variable, β0 is the intercept, and β1 is the slope;

[0037] Step 5: Integrate the laboratory analysis data from Steps 1, 2 and 4 into a Geographic Information System (GIS) to facilitate the creation of a detailed forest map. This map includes tree distribution, soil texture, and GPS coordinates of the survey points. The GIS then visualizes this information to help participants better understand the geographical features and resource distribution of the forest area.

[0038] Step Six: Establish interdisciplinary and multi-stakeholder collaboration to jointly develop monitoring plans, share data and best practices to improve the efficiency and accuracy of monitoring, while encouraging public and local community participation in ecosystem monitoring. Provide relevant training to public and local community participants before monitoring, and provide detailed forest area maps from Step Five to interdisciplinary and multi-stakeholder participants, public participants, and local community participants.

[0039] The preliminary survey in Step One also includes collecting meteorological data and land use information. The professional forestry tools used in Step One include laser rangefinders, diameter measuring tools, breast height and diameter measuring instruments, soil sampling tools, field notebooks and surveying tools, GPS devices, tree identification books and applications, field tool kits, microscopes and laboratory equipment, forestry calculators, sonar instruments and logging planning and forest management software.

[0040] Step 3 includes meteorological sensors such as temperature sensors, humidity sensors, wind speed and direction sensors, rainfall sensors, and radiation sensors; soil sensors such as soil moisture sensors, soil temperature sensors, soil pH sensors, and soil conductivity sensors; water quality sensors such as dissolved oxygen sensors, pH sensors, turbidity sensors, water temperature sensors, and water level sensors; ecological sensors such as cameras and infrared sensors, audio sensors, and tree sensors; and atmospheric sensors such as gas sensors, particulate matter sensors, radar, and lidar.

[0041] Specifically, temperature sensors are used to measure air and water temperature; humidity sensors are used to measure relative humidity and monitor the moisture content in the air; wind speed and direction sensors are used to measure wind speed and direction; precipitation sensors are used to record rainfall to facilitate the study of precipitation patterns; radiation sensors are used to measure solar radiation to understand solar energy input; soil moisture sensors are used to measure the moisture content in the soil; soil temperature sensors are used to monitor soil temperature; soil pH sensors are used to measure soil acidity and alkalinity; soil conductivity sensors are used to detect soil salinity; dissolved oxygen sensors are used to measure dissolved oxygen levels in water, which is very important for aquatic ecosystems; pH sensors are used to measure the acidity and alkalinity of water; turbidity sensors are used to measure turbidity in water, reflecting the content of suspended particulate matter; water temperature sensors are used to monitor water temperature; water level sensors are used to measure water level height, which is very important for monitoring water level changes in rivers and lakes; camera and infrared sensors are used to monitor wildlife activity and habitat usage; audio sensors are used to record sound, which helps monitor bird and animal calls; and tree sensors are used to monitor tree growth, trunk temperature, and tree health.

[0042] Before entering the target forest area in step one, it is necessary to make thorough plans in advance, including route planning, equipment preparation and resource management, and ensure that all necessary tools, equipment and supplies are properly arranged to deal with possible problems, while requiring good logistical support.

[0043] In step four, when assessing the growth and health of the forest based on soil information, factors such as climate, water resources, vegetation type, and human disturbance should also be considered to make the assessment more comprehensive.

[0044] Step four, soil management strategy, is a plan or action plan that takes a series of measures and methods to improve soil quality, protect soil resources, promote crop production and ecosystem health;

[0045] Soil management strategies include protecting and improving soil organic matter: organic matter has a significant impact on soil fertility and structure. Some strategies include adding organic fertilizers, covering crop residues, and using crop rotation and green manure to increase soil organic matter content and promote its decomposition and accumulation; rational fertilization management: applying chemical and organic fertilizers rationally according to soil nutrient content and crop needs, and reducing nutrient waste and environmental pollution through measures such as precision fertilization, stratified fertilization, and topdressing; and soil water conservation measures: taking measures to reduce soil moisture evaporation and loss, including constructing ditches, establishing soil and water conservation vegetation, mulch cultivation, and terracing, to enhance the soil's water retention capacity and reduce water loss. Low soil erosion; reduced soil erosion and protection of soil structure: Implement measures such as windbreak and sand fixation, vegetation restoration and maintenance, protection of natural water bodies and wetlands, and rational use of agricultural and livestock straw to reduce soil erosion and protect soil structure; Rational farming and crop management: Select farming methods suitable for local conditions and soil characteristics, such as conservation tillage, deep plowing, rotary planting and intercropping, and rationally manage crop planting density, irrigation and harvesting to reduce soil compaction and damage; Soil pollution prevention and control: For areas where soil pollution may exist, take pollution source control, soil remediation and monitoring measures to reduce the harm of pollutants to soil and ecosystems.

[0046] The Geographic Information System (GIS) mentioned in step five is a computer system that combines geospatial information with attribute data and stores, manages, analyzes, and visualizes it. Therefore, GIS can be used to acquire, store, organize, query, analyze, and display geographic data, thereby helping people understand geospatial relationships and make decisions.

[0047] The components of a Geographic Information System (GIS): Spatial Data: This includes geospatial information such as maps, satellite imagery, aerial imagery, and Earth surface features. Spatial data can be used to represent the location, shape, and spatial relationships of geographic phenomena. Attribute Data: This is supplementary information related to geospatial information. It can be numerical, textual, or categorical data. Attribute data is used to describe spatial data, such as the name, attributes, and characteristics of geographic entities. Database Management System: This is a computer database used to store, organize, and manage spatial and attribute data. The database management system enables efficient storage, retrieval, and updating of data. Geographic Analysis Functions: These include spatial querying, spatial statistics, buffer analysis, and path analysis functions. These functions are used to extract useful information from geographic data, simulate and predict geographic phenomena, and provide spatial decision support. Map Generation and Visualization: GIS systems can transform geographic data into visualized maps or charts, presenting geographic information in a more intuitive way and helping users understand geographic phenomena, discover spatial patterns, and trends.

[0048] The ground and laboratory data integrated into the geographic information system in step five include tree distribution maps, soil quality maps, and environmentally sensitive area markers. The laser rangefinder in step three is a laser rangefinder array, which includes multiple laser rangefinder units for simultaneously measuring the height and diameter of multiple trees.

[0049] The survey data is transmitted and stored in real time via mobile terminal devices, such as smartphones or tablets.

[0050] The survey data is processed and analyzed on a cloud computing platform, which includes data analysis tools for generating forest management recommendations. The preliminary survey and data integration process is completed with the support of an automated system, which includes automated machine learning algorithms for generating forest management recommendations based on ground and remote sensing data.

[0051] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A construction method for forestry survey engineering, characterized in that, Includes the following steps: Step 1: First, enter the target forest area. Surveyors can conduct field surveys of the trees in the target forest area by observing the appearance characteristics of the trees, taking samples for analysis, or using professional forestry tools. They can classify and count different tree species and record the age of the trees. This survey is called the preliminary survey. Step 2: Place GPS receivers or devices at key locations within the target forest area from Step 1, and use the GPS receivers or devices to record the accurate geographic coordinates of each survey point for geographic reference in subsequent measurements and analysis. This step is to ensure the geographic accuracy of subsequent data. Step 3: Place multiple sensors of various types in the target area from Step 1, including meteorological sensors, soil sensors, water quality sensors, ecological sensors, and atmospheric sensors; Step 4: Collect soil samples from different areas of the target forest area in Step 1. Place these soil samples in the laboratory for analysis to assess soil texture, nutrient content, soil pH, soil organic matter content, soil moisture content, soil microorganisms, soil toxicity, and soil erosion potential. Based on the soil information, the growth and health of the forest can be assessed, and soil management strategies can be developed. Step 5: Integrate the laboratory analysis data from Steps 1, 2 and 4 into a Geographic Information System (GIS) to facilitate the creation of a detailed forest map. This map includes tree distribution, soil texture, and GPS coordinates of the survey points. The GIS then visualizes this information to help participants better understand the geographical features and resource distribution of the forest area. Step Six: Establish interdisciplinary and multi-stakeholder collaboration to jointly develop monitoring plans, share data and best practices to improve the efficiency and accuracy of monitoring, while encouraging public and local community participation in ecosystem monitoring. Provide relevant training to public and local community participants before monitoring, and provide detailed forest area maps from Step Five to interdisciplinary and multi-stakeholder participants, public participants, and local community participants.

2. The construction method for a forestry survey project according to claim 1, characterized in that, The preliminary survey in step one also includes collecting meteorological data and land use information. The professional forestry tools in step one include laser rangefinders, diameter measuring tools, breast height and diameter measuring instruments, soil sampling tools, field notebooks and surveying tools, GPS devices, tree identification books and applications, field tool kits, microscopes and laboratory equipment, forestry calculators, sonar instruments and logging planning and forest management software.

3. The construction method for a forestry survey project according to claim 1, characterized in that, In step three, the meteorological sensors include temperature sensors, humidity sensors, wind speed and direction sensors, rainfall sensors, and radiation sensors; the soil sensors include soil moisture sensors, soil temperature sensors, soil pH sensors, and soil conductivity sensors; the water quality sensors include dissolved oxygen sensors, pH sensors, turbidity sensors, water temperature sensors, and water level sensors; the ecological sensors include cameras and infrared sensors, audio sensors, and tree sensors; and the atmospheric sensors include gas sensors, particulate matter sensors, and radar and lidar.

4. The construction method for a forestry survey project according to claim 1, characterized in that, Before entering the target forest area in step one, it is necessary to make thorough plans in advance, including route planning, equipment preparation and resource management, and ensure that all necessary tools, equipment and supplies are properly arranged to deal with possible problems, while requiring good logistical support.

5. A construction method for forestry survey engineering according to claim 1, characterized in that, In step four, when assessing the growth and health of the forest based on soil information, factors such as climate, water resources, vegetation type, and human disturbance also need to be considered to make the assessment more comprehensive.

6. A construction method for forestry survey engineering according to claim 1, characterized in that, The soil management strategy in step four is a plan or action plan that takes a series of measures and methods to improve soil quality, protect soil resources, promote crop production and ecosystem health.

7. A construction method for forestry survey engineering according to claim 1, characterized in that, The geographic information system mentioned in step five is a computer system that combines geospatial information with attribute data and stores, manages, analyzes, and visualizes it. Therefore, geographic information systems can be used to acquire, store, organize, query, analyze, and display geographic data, thereby helping people understand geospatial relationships and make decisions.

8. A construction method for forestry survey engineering according to claim 1, characterized in that, The ground and laboratory data integrated into the geographic information system in step five include tree distribution maps, soil quality maps, and environmentally sensitive area markers. The laser rangefinder in step three is a laser rangefinder array, which includes multiple laser rangefinder units for simultaneously measuring the height and diameter of multiple trees.

9. A construction method for forestry survey engineering according to claim 1, characterized in that, The survey data is transmitted and stored in real time via mobile terminal devices, such as smartphones or tablets.

10. A construction method for forestry survey engineering according to claim 1, characterized in that, The survey data is processed and analyzed on a cloud computing platform, which includes data analysis tools for generating forest management recommendations. The preliminary survey and data integration process is completed with the support of an automated system, which includes automated machine learning algorithms for generating forest management recommendations based on ground and remote sensing data.