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Rapid image analysis method for measuring porosity of forest belt

A rapid analysis and porosity technology, applied in image analysis, material analysis, image enhancement, etc., can solve the problems of high cost, lower resolution, etc., and achieve the effects of easy operation, reduced error range, and good measurement accuracy

Inactive Publication Date: 2015-02-18
XINJIANG INST OF ECOLOGY & GEOGRAPHY CHINESE ACAD OF SCI
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Problems solved by technology

However, the cost of obtaining photos with an optical camera is too high for scientific research and production work that requires a large number of photos, and the resolution will be reduced when scanning photos into a computer

Method used

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  • Rapid image analysis method for measuring porosity of forest belt
  • Rapid image analysis method for measuring porosity of forest belt
  • Rapid image analysis method for measuring porosity of forest belt

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0021] Digital camera: Canon EOS 450D;

[0022] Image analysis system software Delta-T Scan;

[0023] Select a 5-year-old poplar forest in the oasis-desert transition zone in the Hetian Cele area, and use a Canon EOS 450D digital camera to take photos of the forest belt section at 20-30m perpendicular to the forest belt. Set the scale, the height of the photo shoot and the center is the average height of the forest belt ( figure 1 );

[0024] The forest belt photos taken were imported into the conventional image processing software Photoshop 8.0, and the range of the forest canopy area and the forest trunk area was defined according to the average height under the branches ( figure 2 ), the upper limit is based on the average height of the forest belt, and the boundary line between the canopy and the trunk is based on the average height of the branches. In the main menu bar, select Image, Adjustment, and Replace Color in sequence, and use the magic wand tool in Phot...

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Abstract

The invention relates to a rapid image analysis method for measuring the porosity of a forest belt. The method comprises the following steps: strictly separating branches and leaves of the forest belt from interspace according to chromatic aberration of the branches and leaves and the interspace on a digital photograph through software processing by the combination of a digital camera and conventional image processing software (Photoshop 8.0) as well as image analysis system software Delta-T Scan (Cambridge, CB50EJ, UK), and calculating the porosity (namely the porosity of the photograph of the forest belt) by utilizing the area ratio of occupied spaces of the branches and leaves of the forest belt and the interspace so as to estimate the actual porosity of the forest belt. The method provided by the invention can be used for quantitatively determining the porosity of the protection forest belt.

Description

technical field [0001] The invention relates to shelterbelt ecological engineering, in particular to an image rapid analysis method for the porosity of forest belts. Background technique [0002] The protective effect of a shelter belt depends on the influence of a specific structure of the belt on aerodynamic characteristics such as wind speed, turbulent stress, and pressure. Among many structural factors of forest belts, porosity is a comprehensive characterization of other structural factors. Therefore, in production and theoretical research, porosity is often used as one of the most important indicators to distinguish the quality of forest belt structure. The measurement of porosity mostly adopts visual inspection method, square frame method, probability estimation method and indirect model measurement method. However, the extensive nature of these methods is not suitable for the needs of structural research and guidance of production practice. In order to measure the...

Claims

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Application Information

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IPC IPC(8): G06T7/00G01N21/84
CPCG01C11/04G06T7/62G06T2207/10004G06T2207/30188
Inventor 周杰雷加强穆桂金高欢欢徐立帅孙琳薛杰
Owner XINJIANG INST OF ECOLOGY & GEOGRAPHY CHINESE ACAD OF SCI
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