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Forest Area Calculation Formula – Applying 3D Technology for Faster and More Accurate Calculation

Forest Area Calculation Formula – Applying 3D Technology for Faster and More Accurate Calculation

The forest area calculation formula helps determine the scale of natural forests, planted forests, and changes in forest area over different periods. Depending on the purpose, you can apply the natural forest area calculation formula, planted forest area calculation formula within total forest area, forest area increase calculation formula, or average annual increase in planted forest area calculation formula. In addition to traditional calculation methods based on inventory data, 3D scanning technology combined with LiDAR + SLAM also provides a new approach to faster and more detailed spatial measurement and data collection.

3D Scanning technology combined with LiDAR and SLAM supports forest area calculation.
3D Scanning technology combined with LiDAR and SLAM supports forest area calculation.

1. Standard Forest Area Calculation Formulas

In forest inventory, area is generally determined based on the boundaries of each forest area or forest compartment on a map. The commonly used unit of measurement is the hectare (ha).

1.1 Forest Area Calculation Formula

Forests in Vietnam are classified according to various criteria, with natural forests and planted forests being two commonly used categories when calculating forest area.

Forest area = Total area of all forested areas

Example: An area contains 4 forest compartments measuring 120 ha, 250 ha, 180 ha, and 300 ha respectively. The total forest area is:

120 + 250 + 180 + 300 = 850 ha

From this total area, it is possible to further determine natural forest area, planted forest area, the proportion of planted forests, and increases or decreases in forest area over different periods.

1.2 Natural Forest Area Calculation Formula

Natural forest area = Total forest area - Planted forest area

Where: Planted forest area includes newly planted forests, plantations that have not yet reached canopy closure, and established planted forests.

Example:

  • Total forest area: 10,000 ha.
  • Planted forest area: 3,500 ha.

→ Natural forest area: 10,000 - 3,500 = 6,500 ha.

This formula is only appropriate when the two area categories are classified within the same scope, at the same point in time, and do not overlap.

In actual forest inventory, the area should be determined from maps, compartment boundaries, and forest-status classification results rather than being estimated solely from aggregated figures.

1.3 Planted Forest Area Calculation Formula Within Total Forest Area

To determine the proportion of planted forest area within the total forest area, use the following formula:

Planted forest proportion (%) = (Planted forest area / Total forest area) × 100

For example, if an area contains 3,500 ha of planted forest out of a total forest area of 10,000 ha:

Planted forest proportion = (3,500 / 10,000) × 100 = 35%

If you need to calculate the planted forest area rather than its proportion, simply use the planted forest area identified on the inventory map.

It should be noted that the proportion of planted forests is not the same as forest cover. Forest cover is a different indicator, which is aggregated by administrative unit and reflects the proportion of forested area relative to the natural area within the calculated scope.

1.4 Forest Area Increase Calculation Formula

To determine the increase or decrease in forest area between two points in time, use:

Forest area increase/decrease = Forest area in the later period - Forest area in the earlier period

Example:

  • Forest area in 2025: 12,000 ha.
  • Forest area in 2026: 12,450 ha.

Therefore: Forest area increase = 12,450 - 12,000 = 450 ha

If the result is negative, the forest area has decreased.

You can also calculate the percentage rate of change:

Increase/decrease rate (%) = [(Area in later period - Area in earlier period) / Area in earlier period] × 100

For the example above:

Increase rate = (450 / 12,000) × 100 = 3.75%

In forest change monitoring, determining changes should not rely solely on the increase or decrease figure. The causes of change should also be identified, such as afforestation, forest restoration, forest fires, pests and diseases, deforestation, land-use conversion, or clear-cutting. These are also categories of causes used in forest area change statistics.

1.5 Average Annual Increase in Planted Forest Area Calculation Formula

When the planted forest areas at two points in time and the period between them are known, the average annual increase can be calculated as follows:

Average annual increase in planted forest area = (Planted forest area in later period - Planted forest area in earlier period) / Number of years

Example:

  • 2021: 2,000 ha of planted forest.
  • 2026: 2,750 ha of planted forest.
  • Period: 5 years.

Therefore: Average annual increase = (2,750 - 2,000) / 5 = 150 ha/year

This is an arithmetic average increase. It should not be interpreted as meaning that the actual forest area increased by exactly 150 ha every year. To assess annual changes, annual inventory or statistical data should be used.

2. Challenges: Traditional Forest Area Calculation Methods Are Time-Consuming

Manual measurement methods, such as delineating areas on paper maps, measuring with tape, or using handheld GPS devices, have revealed significant limitations when applied to areas with complex terrain.

Today, these methods can be combined with remote-sensing image interpretation or aerial imagery, supplemented by field surveys. The data is then compiled into digital maps to determine boundaries and calculate the area of different forest conditions.

However, when deployed across large areas with steep terrain or numerous obstacles, the survey process still requires significant human resources, time, and data quality control.

  • High labor and time requirements: Surveyors have to travel through forests. Data collection can take weeks or even months.
  • Errors caused by fragmented terrain: Steep mountainous terrain makes surface measurement more difficult. This can result in significant errors when converting measurements into actual area.
  • Limited visibility beneath the forest canopy: Dense forests obstruct the field of view of conventional surveying equipment. This makes forest compartment boundaries more difficult to determine accurately.
  • Dependence on weather conditions: Heavy rain, fog, or severe weather can interrupt field surveying activities.
  • Difficult error detection: If measurements rely only on a limited number of measurement points or manual methods, identifying discrepancies across a large area can require additional time.
  • Difficult to update changes: When forest areas change due to new planting, forest loss, or land-use conversion, the data needs to be updated and cross-checked against current maps.

3. Solution: Applying 3D and LiDAR Technology for Faster Forest Area Measurement

LiDAR is a technology that uses laser pulses to measure the distance between a sensor and surrounding objects. When integrated into a 3D scanning device, LiDAR can collect a large number of data points about the surrounding environment.

When combined with SLAM, the device can move through an area while simultaneously recording its position and generating a Point Cloud (3D point cloud) of the forest area.

This data helps describe terrain, trees, and spatial structures, supporting faster forest area measurement and analysis. LiDAR is also used in studies of tree height, canopy cover, and forest structure.

3D scanning technology combined with LiDAR/SLAM offers several advantages that address the limitations of traditional methods:

  • High accuracy: Captures data with millimeter-level accuracy. Laser beams can penetrate vegetation to help identify forest-land boundaries more accurately.
  • Fast data acquisition: Collects data across hundreds of hectares of forest within just a few hours of flight. Data processing time can be reduced by more than 80% compared with manual methods.
  • Multidimensional analysis: In addition to calculating horizontal area, 3D technology can calculate the surface area of sloped terrain, timber volume, and tree canopy height.
  • Reduced risks: Technicians do not need to enter dangerous forest areas, deep ravines, or locations with wild animals.
3D scanning data supports measurement, boundary identification, and forest area calculation.
3D scanning data supports measurement, boundary identification, and forest area calculation.

4. Forest Area Measurement Process Using 3D Technology

To use 3D scanning for forest area calculation, a process should be established from field surveying to data processing and verification.

Step 1: Determine the Forest Area and Survey Objectives

Before scanning, the area to be measured and the purpose of the data must be clearly defined.

  • Survey area boundaries.
  • Estimated area.
  • Terrain and accessibility.
  • Objectives such as area measurement, inventory, or change monitoring.
  • Coordinate system and reference system to be used.
  • Required accuracy level of the project.

If the data is intended for official inventory purposes, the method for integrating 3D scanning data with maps, management records, and other data sources should be determined from the beginning.

Step 2: Plan the Movement Route and Scanning Strategy

Technicians determine suitable routes to ensure good data coverage.

The operator should not simply move in a straight line through the forest. Scanning routes should be designed to minimize occluded areas and provide sufficient overlap when combining scanning segments.

With SLAM-based equipment, maintaining appropriate movement routes and creating loop closures can help the system maintain a more stable trajectory.

Step 3: Collect Data Using a 3D Scanner Combined with LiDAR + SLAM

Technicians carry the 3D scanning device and move along the planned routes. LiDAR continuously records the distance and shape of surrounding objects. At the same time, SLAM helps determine the device's position in space.

During this process, it is necessary to:

  • Move at a stable speed.
  • Avoid sudden rotations of the device.
  • Pass through overlapping areas between scanning routes.
  • Check the coverage of the collected data.
  • Perform additional scans in areas where data points are missing.

The resulting output is a 3D Point Cloud of the surveyed area.

GeoSLAM ZEB Horizon 3D Scanner collects data in forest environments.
GeoSLAM ZEB Horizon 3D Scanner collects data in forest environments.

Step 4: Check and Process the Point Cloud

Raw data needs to be inspected before calculations are performed.

Common steps include:

  • Checking whether any areas are missing data.
  • Checking for drift or errors when merging scanning routes.
  • Removing noise points.
  • Combining data areas into a unified Point Cloud.
  • Accurately classifying the required point groups.
  • Identifying ground, vegetation, and relevant objects.

This is an important step because even a high-quality Point Cloud can produce inaccurate area calculations if it is not processed correctly.

Step 5: Determine Boundaries and Calculate Area

After the Point Cloud has been processed, the data can be imported into specialized software to determine the boundaries of the area to be calculated.

The area can be calculated based on the principle:

Area of the surveyed region = Total area of all identified zones/forest compartments within the survey boundary

If natural forest and planted forest areas need to be determined, each area must first be classified before the results are aggregated.

The results should be cross-checked against forest inventory maps, remote-sensing data, and management records. Forest inventory regulations also require the delineation of forest conditions, the development of digital maps, and area calculations according to management units.

Step 6: Cross-Check and Generate Reports

Finally, the implementing organization verifies the results against field data and existing data sources.

The report may include:

  • Total area of the surveyed region.
  • Natural forest area.
  • Planted forest area.
  • Planted forest proportion.
  • Boundary map of the surveyed area.
  • 3D Point Cloud.
  • Forest structure indicators that can be extracted from the data.
  • Comparison of forest areas across different periods when historical data is available.

For forest area change monitoring, a single Point Cloud dataset should not be used alone to determine the causes of increases or decreases. Maps, remote-sensing imagery, management records, and field verification should be combined when necessary.

5. 3D Master Provides 3D Scanning Solutions for Forest Area Measurement

3D Master is a pioneering provider in Vietnam of comprehensive solutions for 3D measurement technology, 3D scanning services, and 3D digitization of forestry resources.

With an experienced team of specialists, the company is ready to deploy 3D measurement and digitization solutions for forest owners, protection forest management boards, and forestry projects nationwide.

In addition, the company provides software solutions for extracting forest data, calculating area, calculating carbon credits, and automatically and accurately calculating timber volume.

At 3D Master, the equipment commonly used for forest surveying applications is the GeoSLAM ZEB Horizon 3D scanner, which can scan within a range of up to 100 m and provides extremely fast scanning speed.

After scanning, the data can be further processed using specialized software to create models, perform measurements, and extract information according to the project's objectives. 3D Master also provides on-site 3D scanning and post-processing services.

In summary, understanding the forest area calculation formula helps improve the accuracy of forest statistics, monitoring, and change assessment. For large areas or difficult-to-access terrain, 3D scanning technology combined with LiDAR and SLAM can support fast and detailed data collection, making the measurement process more convenient.

>>> Get consultation on 3D forest area calculation solutions today!

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