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Large-area survey method and integrated system of forest gap regeneration and leaf information

A technology for forest gap renewal and large area, applied in the field of vegetation biological information survey, can solve problems such as difficult to obtain objective macro data, difficult to obtain hyperspectral remote sensing data, difficult to analyze forest vegetation, etc., to achieve good survey results and avoid sampling Blind area, low cost effect

Inactive Publication Date: 2016-06-01
BEIJING FORESTRY UNIVERSITY
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Problems solved by technology

However, the ground survey is only carried out on the ground in the lower forest layer, the scale is too small, it is difficult to obtain objective macroscopic data, and the large-scale ground survey is very time-consuming and labor-intensive. At the same time, hyperspectral remote sensing data is not easy to obtain in some areas where there are often clouds. It is difficult to analyze patchy (non-single homogeneous forest) forest vegetation, etc.; so far, there is a lack of an accurate, convenient and large-scale survey method for forest gap regeneration and canopy biological information

Method used

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  • Large-area survey method and integrated system of forest gap regeneration and leaf information
  • Large-area survey method and integrated system of forest gap regeneration and leaf information
  • Large-area survey method and integrated system of forest gap regeneration and leaf information

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Embodiment 1

[0028] 1. Specific survey site: Broad-leaved Korean pine forest in Changbai Mountain (N42°24', E128°6'), 738m above sea level, the forest is divided into relatively pure stands in the original broad-leaved Korean pine forest; it belongs to the monsoon temperate continental mountain climate, and the vegetation The growing season is from May to September, and the observation period of this experiment is July;

[0029] 2. The area of ​​the forest vegetation under investigation: shooting above the 1ha forest, how many 1ha forest plots to choose for investigation according to the working time, conditions and the proportion of the species to be observed in this forest (such as observing Changbai Mountain broad-leaved red For the Korean pine in the pine forest, since the Korean pine is a construction species, you can set 3 to 5 repetitions) to adjust or select according to the actual situation;

[0030] 3. Specific investigation methods and findings, including:

[0031] (1) The pano...

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Abstract

The invention discloses a large-area investigation method for forest gas updating and leaf information and an integrated system of the method. The investigation method comprises: (1) acquiring the image data of to-be investigated forest vegetation panorama, visually selecting an area of fixed-point shooting, acquiring he longitude and latitude data, and performing visual determination on the forest canopy-layer vegetation panorama; (2) acquiring the forest gap updating and leaf canopy-layer biological information at a sampling area, and also precisely checking the acquired forest gap updating and leaf canopy-layer biological information, and establishing the correlativity of the image data and the ground investigation data; and (3) acquiring the large-area forest gap updating and canopy layer image data, and acquiring the whole-region forest canopy-layer leaf biological information through the established correlativity. The method is beneficial for scientific research investigation on heterogeneous forest, and has the advantages of precise investigation, convenient execution, low cost and the like.

Description

technical field [0001] The present invention relates to a method for investigating forest vegetation biological information, in particular to a large-area investigation method for forest gap renewal and leaf biological information, and the present invention further relates to a large-area investigation method for realizing the forest gap renewal and leaf biological information The integrated system belongs to the survey field of vegetation bioinformatics. Background technique [0002] For the current survey of forest gap regeneration (seedling / sapling) growth, plant leaf biochemical properties, etc., the more commonly used methods are ground survey and double calculation with hyperspectral remote sensing. However, the ground survey is only carried out on the ground in the lower forest layer, the scale is too small, it is difficult to obtain objective macroscopic data, and the large-scale ground survey is very time-consuming and labor-intensive. At the same time, hyperspectra...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01C11/00G01B11/14G01N21/84
CPCG01B11/14G01C11/00G01N21/84
Inventor 康文张玉波周伟磊李俊清
Owner BEIJING FORESTRY UNIVERSITY
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