CN112330204A - Ecological system attribute component composition structure quantification method facing frequency concentration trend - Google Patents
Ecological system attribute component composition structure quantification method facing frequency concentration trend Download PDFInfo
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Abstract
An ecological system attribute component composition structure quantization method facing the frequency concentration trend relates to an ecological system attribute component composition structure quantization method. The invention solves the problem that the prior method for quantifying the composition structure of the attribute components of the ecosystem is lack of corresponding quantitative analysis. The method comprises the following steps: step one, acquiring component attribute frequency distribution data of an ecosystem; step two: obtaining a frequency maximum value index; and step three, acquiring a corresponding attribute grouping intermediate value as an attribute concentration value of the ecosystem according to the record with the maximum component frequency number in the attribute grouping. The invention introduces the attribute concentration value and the frequency maximum value index into the frequency distribution quantitative analysis of the vegetation index or ecological parameter component of the ecological system, and is used for quantizing the component with the maximum frequency and the attribute condition thereof in the ecological system, thereby realizing the characterization of quantizing the attribute component composition structure of the ecological system.
Description
Technical Field
The invention relates to a quantification method of an attribute component composition structure of an ecosystem.
Background
The ecosystem is a complex system formed by component types with different attributes (physical and chemical characteristics which can be expressed by ecological parameters), and the quantity (number, area, volume and the like) of each component type also has variation, and the quantity and the volume combine to express the attribute components in the ecosystem to form a structure. The attributes of the ecological system specifically comprise a plurality of ecological parameters such as coverage, leaf area index, biomass and the like; since the ecological parameters can be obtained by remote sensing inversion of the vegetation index, the remote sensing vegetation index can also be used for representing the attribute of the ecological system, but the method is still lack of corresponding quantitative analysis and cannot describe the ecological system in more detail.
Disclosure of Invention
The invention provides a method for quantifying the composition structure of the attribute components of the ecosystem facing to the frequency concentration trend, aiming at solving the problem that the method for remotely sensing the vegetation index is lack of corresponding quantitative analysis.
The invention relates to a method for quantifying the composition structure of the attribute components of an ecosystem facing to the frequency concentration trend, which comprises the following steps:
step one, acquiring component attribute frequency distribution data of an ecosystem;
traversing attribute component frequency distribution data of the vegetation index or the ecological parameter, and searching a record with the maximum component frequency number in the attribute grouping, wherein the frequency number maximum value is obtained by dividing the maximum component frequency number by the attribute grouping width;
step three, acquiring a corresponding attribute grouping intermediate value as an attribute concentration value of the ecosystem according to the record with the maximum component frequency number in the attribute grouping; namely, the quantification of the composition structure of the attribute components of the ecosystem is completed.
The method for acquiring the component attribute frequency distribution data of the ecosystem comprises an attribute grouping part and an attribute grouping component frequency.
The Value of frequency maximum index (Value of frequency maximum) in the invention is a grid frequency Value of the component with the largest quantity in the components of the ecosystem divided according to the attributes.
The attribute concentration Value (Value of attribute concentration) of the ecosystem in the invention is the attribute of the most frequent component in the ecosystem, and reflects the concentration trend of the attribute of the ecosystem.
The invention introduces the attribute concentration value and the frequency maximum value index into the frequency distribution quantitative analysis of the vegetation index or ecological parameter component of the ecological system, and is used for quantizing the component with the maximum frequency and the attribute condition thereof in the ecological system, thereby realizing the characterization of quantizing the attribute component composition structure of the ecological system.
Detailed Description
The technical solution of the present invention is not limited to the following specific embodiments, but includes any combination of the specific embodiments.
The first embodiment is as follows: the method for quantizing the ecological system attribute component composition structure oriented to the frequency concentration trend in the embodiment is carried out according to the following steps:
step one, acquiring component attribute frequency distribution data of an ecosystem;
traversing attribute component frequency distribution data of the vegetation index or the ecological parameter, and searching a record with the maximum component frequency number in the attribute grouping, wherein the frequency number maximum value is obtained by dividing the maximum component frequency number by the attribute grouping width;
step three, acquiring a corresponding attribute grouping intermediate value as an attribute concentration value of the ecosystem according to the record with the maximum component frequency number in the attribute grouping; namely, the quantification of the composition structure of the attribute components of the ecosystem is completed.
In the first step of this embodiment, the attribute frequency distribution data of the ecosystem component is obtained, which includes two parts, namely attribute grouping and attribute grouping component frequency.
In step two of this embodiment, a Value of frequency maximum index (Value of frequency maximum) that represents a grid frequency Value of a component having a largest number in the components of the ecosystem divided according to the attributes.
In the third step of this embodiment, an attribute concentration Value (Value of attribute concentration) of the ecosystem, which represents an attribute of a component with the largest frequency number in the ecosystem, reflects a concentration trend of the attribute of the ecosystem.
Embodiment 1 is a method for quantifying the composition structure of the attribute components of the ecosystem facing the frequency concentration trend, which is performed according to the following steps:
step one, acquiring component attribute frequency distribution data of an ecosystem; the method comprises two parts of attribute grouping and attribute grouping frequency; that is, the attribute component frequency distribution data obtained from the image data of the vegetation index NDVI of the forest ecosystem in the growing season of Jilin province in 2000 is shown in table 1.
TABLE 1 frequency distribution data of NDVI components of forest ecosystem of Jilin province
Traversing attribute component frequency distribution data of the vegetation index or the ecological parameter, and searching a record with the maximum component frequency number in the attribute grouping, wherein the frequency number maximum value is obtained by dividing the maximum component frequency number by the attribute grouping width; traversing the NDVI component frequency distribution data (table 1), and comparing the number of image pixels of each group of the vegetation index NDVI to obtain a maximum component frequency of 18514, wherein the frequency maximum VFM is 18514/0.02 is 925700; VFM 925700 represents the grid frequency value of the highest-numbered component (0.66, 0.68) among the ecosystem components divided by attributes.
Step three, acquiring a corresponding attribute grouping intermediate value as an attribute concentration value of the ecosystem according to the record with the maximum component frequency number in the attribute grouping; namely, the quantification of the composition structure of the attribute components of the ecosystem is completed. That is, the NDVI component frequency distribution data (table 1) is traversed, and the number of pixels of each group of the vegetation index NDVI is compared, and it is found that the number of pixels of which the extracted NDVI attribute group is (0.66, 0.68) is the largest and is 18514, then the intermediate value of the vegetation index NDVI group corresponding to the group is the attribute concentration value of the ecosystem, that is, the attribute concentration value VAC is (0.66+0.68)/2 is 0.67, so the attribute concentration value VAC of the forest ecosystem of the ji lin province VAC in 2000 is 0.67.
The attribute concentration value VAC of 0.67 indicates that the number of forest components of the vegetation index NDVI in the interval (0.66, 0.68) is the largest, the area ratio is the largest, and the attribute concentration value VAC is the concentrated distribution point of the vegetation index NDVI in the forest ecosystem of the Jilin province.
Claims (1)
1. The method for quantizing the ecological system attribute component composition structure oriented to the frequency concentration trend is characterized in that the method for quantizing the ecological system attribute component composition structure oriented to the frequency concentration trend is carried out according to the following steps:
step one, acquiring component attribute frequency distribution data of an ecosystem;
traversing attribute component frequency distribution data of vegetation indexes or ecological parameters, and searching a record with the maximum component frequency number in the attribute grouping, wherein the frequency number maximum index is obtained by dividing the maximum value in the component frequency number by the attribute grouping width;
step three, acquiring a corresponding attribute grouping intermediate value as an attribute concentration value of the ecosystem according to the record with the maximum component frequency number in the attribute grouping; namely, the quantification of the composition structure of the attribute components of the ecosystem is completed.
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Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109636171A (en) * | 2018-12-06 | 2019-04-16 | 西安理工大学 | A kind of comprehensive diagnos and risk evaluating method that regional vegetation restores |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109636171A (en) * | 2018-12-06 | 2019-04-16 | 西安理工大学 | A kind of comprehensive diagnos and risk evaluating method that regional vegetation restores |
Non-Patent Citations (4)
| Title |
|---|
| 吕缀: ""基于MODIS数据的陕西省2015年NDVI变化分析"", 《甘肃科技》 * |
| 周淑琴: ""毛乌素沙地植被空间自相关分布模式及变化特征"", 《应用基础与工程科学学报》 * |
| 张君 等: ""1982-2013年陕西不同植被类型NDVI变化特征分析"", 《干旱区资源与环境》 * |
| 王文静等: "综合多特征的Landsat 8时序遥感图像棉花分类方法", 《遥感学报》 * |
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Application publication date: 20210205 |