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Method for acquiring and evaluating urban green land community structure information

A community structure and evaluation method technology, applied to radio wave measurement systems, instruments, etc., can solve problems such as low efficiency and inability to obtain community structure information

Inactive Publication Date: 2012-07-11
FUDAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The results of this research method are accurate and reliable, but the efficiency is low; another main method is to use high-resolution images to extract green space information, but the results are limited to the classification of green space and the acquisition of some vegetation indices, and cannot obtain information on community structure

Method used

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  • Method for acquiring and evaluating urban green land community structure information
  • Method for acquiring and evaluating urban green land community structure information
  • Method for acquiring and evaluating urban green land community structure information

Examples

Experimental program
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Embodiment 1

[0024] This example was implemented in Shanghai in 2010, combining ground testing and remote sensing image processing to quickly obtain the community structure information of Shanghai's green space in previous years. Specific steps are as follows:

[0025] (1) Sample plot layout

[0026] Select 120 sample plots in Shanghai, including park green spaces, road green spaces, residential green spaces, protective green spaces and subsidiary green spaces.

[0027] (2) Calculation of the overall community structure integrity index

[0028] Six indicators were mainly selected, namely the community structure index x1, the number of trees x2, the total coverage of the community x3, the average tree diameter at breast height x4, the average height of the trees x5 and the average crown width of the trees x6, the overall structure of the community structure index (Community's structure index / CSI).

[0029] ①Shanghai area (at the turn of spring and summer in 2010)

[0030] According to ...

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Abstract

The invention belongs to the technical field of urban ecology, in particular to a method for acquiring and evaluating urban green land community structure information. Ground test is combined with remote sensing image processing, so that the green land community structure information on the urban scale can be acquired quickly and evaluated. The method comprises the following steps of: sampling sample land information according to classification of urban green lands, wherein the sample land information comprises the community structure information, tree plants, total community coverage degree, tree diameters at breast heights, tree heights and tree canopies; calculating a community structure index (CSI); constructing a coupling model between a normalized difference vegetation index (NDVI) and the CSI based on a Landsat TM / ETM+ image; and according to the coupling model, aiming at NDVIs of other years, quickly acquiring a space distribution characteristic of the CSI, namely the community structure information.

Description

technical field [0001] The invention belongs to the technical field of urban ecology, and in particular relates to a method for quickly acquiring information on the structure of green space communities on an urban scale. Background technique [0002] Due to the large spatial scale and other reasons, there are certain difficulties in obtaining information on the structure of urban green space communities. Generally speaking, for the acquisition of green space community structure information, the traditional method is to conduct a sample community inventory in combination with statistical data and sample plot distribution. The results of this research method are accurate and reliable, but the efficiency is low; another main method is to use high-resolution images to extract green space information, but the results are limited to the classification of green space and the acquisition of some vegetation indexes, and cannot obtain information on community structure. [0003] Obta...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/48
Inventor 王祥荣凌焕然王伟宋珂樊正球
Owner FUDAN UNIV
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