CN107480630B - Method for zoning forest ecological function by using remote sensing technology - Google Patents
Method for zoning forest ecological function by using remote sensing technology Download PDFInfo
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- CN107480630B CN107480630B CN201710685811.3A CN201710685811A CN107480630B CN 107480630 B CN107480630 B CN 107480630B CN 201710685811 A CN201710685811 A CN 201710685811A CN 107480630 B CN107480630 B CN 107480630B
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Abstract
The invention relates to the technical field of ecological function zoning, in particular to a method for carrying out forest ecological function zoning by using a remote sensing technology, which comprises the steps of obtaining remote sensing image data through a satellite or an aerial photograph, analyzing and classifying forest ecological resources in an image by using GIS software, then selecting a certain area, and recording the distribution condition of the ecological resources in the area; establishing an Excel table A, establishing a corresponding mathematical model for data in the Excel table A, simulating the mathematical model through Matlab software to obtain a corresponding simulation image, acquiring forest ecological resource data in a selected area through GIS software, establishing a corresponding mathematical model, simulating and simulating the mathematical model through Matlab software, comparing and analyzing the simulated image obtained through simulation and a remote sensing image obtained in real time, and simulating by using related data while obtaining forest ecological data, thereby having good guidance for predicting the zoning trend of future ecological functions.
Description
Technical Field
The invention relates to the technical field of ecological function zoning, in particular to a method for carrying out forest ecological function zoning by using a remote sensing technology.
Background
The main body of a land ecosystem in forests and human beings rely on basic resources for survival, and the traditional five-year-sequential first-class investigation and ten-year-once second-class investigation have the defects of long updating period, long elapsed time, easy special treatment of sample plots, poor data comparability and the like, so that the forest resources and the ecological condition change are difficult to scientifically and accurately evaluate.
In the chinese utility model publication CN101114277, a method for zoning ecological functions by using a geographic information system and a remote sensing technology is disclosed. The method comprises the following steps: the method comprises the steps of firstly obtaining an evaluation index information layer, secondly carrying out quantitative analysis and evaluation on each evaluation index by utilizing GIS software, thirdly comprehensively evaluating the ecological function of a region and fourthly partitioning the ecological function. Landscape evaluation indexes are added in the ecological function division. The method comprises the steps of acquiring real-time geographic information data by using RS, calculating and outputting an attribute value of an evaluation index by using the spatial analysis and data processing capacity of GIS software, calculating and classifying evaluation values in Excel in batch by using VBA programming, and finally making an ecological function zoning result by using the GIS software. The method has the advantages that the quantitative analysis is carried out in the whole process, the quantitative operation is carried out by adopting a standard computer in the quantitative process, and the subjective errors in the common ecological zoning method are reduced. Objective ecological function evaluation results can be generated, and objective and reasonable division conclusions can be obtained.
The method for zoning ecological functions by using the geographic information system and the remote sensing technology reduces subjective errors in the common ecological zoning method. Objective ecological function evaluation results can be generated, objective and reasonable zoning conclusions can be obtained, but the method is lack of simulation, forest ecological function changes cannot be predicted, and the functions are single.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a method for zoning a forest ecological function by using a remote sensing technology, which is used for solving the problems that simulation is lacked in actual operation, the change of the forest ecological function cannot be predicted, the function is single and the like; the invention is realized by the following technical scheme:
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
a method for zoning forest ecological function by using remote sensing technology includes the steps that firstly, remote sensing image data are obtained through satellite or aerial photography, GIS software is used for analyzing and classifying forest ecological resources in an image, then a certain area is selected, and the division condition of the ecological resources in the area is recorded; establishing an Excel table A, recording the distribution condition of forest ecological resources in the Excel table A, then establishing a corresponding mathematical model for data in the Excel table A, and simulating the mathematical model through Matlab software to obtain a corresponding simulation image.
Preferably, digital images of forest systems in a certain area are selected and acquired from a remote sensing image database, if analog images need to be scanned through an image scanner, an Excel form B is established, real-time monitoring data of forest ecological resources are recorded in the Excel form B, and the monitoring period is three days.
Preferably, the Excel table a and the Excel table B are divided into a1 part, a2 part, A3 part and B1 part, B2 part, B3 part.
Preferably, the data of the part A1 records multiple groups of forest vegetation area data, the data of the part A2 records multiple groups of forest oxygen content data, and the part A3 records multiple groups of animal population density subsection data.
Preferably, the data in the Excel table a and the data in the Excel table B are subjected to correlation analysis through SPSS software, and if the correlation analysis is passed, then regression analysis is performed.
Preferably, finally, the analysis result obtained by analyzing the simulation image, the result obtained by analyzing through SPSS software and the real-time monitoring data of the forest ecological resources are compared and analyzed to obtain the ecological function zoning result.
(III) advantageous effects
The invention provides a method for zoning a forest ecological function by using a remote sensing technology, which comprises the steps of acquiring forest ecological resource data in a selected area through GIS software, establishing a corresponding mathematical model, carrying out simulation on the mathematical model through Matlab software, carrying out comparative analysis on a simulation image obtained by simulation and a remote sensing image obtained in real time, carrying out simulation by using related data while obtaining forest ecological data, and well guiding prediction of the zoning trend of the future ecological function.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a diagram illustrating the results of an eco-function compartment according to the present invention;
FIG. 2 is a schematic of Excel form A of the present invention;
FIG. 3 is a schematic diagram of Excel form B of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
a method for zoning forest ecological function by using remote sensing technology includes the steps that firstly, remote sensing image data are obtained through satellite or aerial photography, GIS software is used for analyzing and classifying forest ecological resources in an image, then a certain area is selected, and the division condition of the ecological resources in the area is recorded; establishing an Excel table A, recording the distribution condition of forest ecological resources in the Excel table A, then establishing a corresponding mathematical model for data in the Excel table A, and simulating the mathematical model through Matlab software to obtain a corresponding simulation image.
Specifically, digital images of a forest system in a certain area are selected and obtained from a remote sensing image database, if analog images need to be scanned through an image scanner, an Excel form B is established, real-time monitoring data of forest ecological resources are recorded in the Excel form B, the monitoring period is three days, the Excel form A and the Excel form B are divided into a part A1, a2 and A3 and a part B1, a part B2 and a part B3, data of the part A1 record multiple groups of forest vegetation area data, data of the part A2 record multiple groups of forest oxygen content data, a part A3 record multiple groups of animal population density subsection data, data in the Excel form A and data in the Excel form B are subjected to advanced correlation analysis through SPSS software, if correlation analysis passes, regression analysis is performed, and finally, simulated images are analyzed, and analysis results obtained are obtained, And comparing and analyzing the result obtained by analyzing through SPSS software with real-time monitoring data of forest ecological resources to obtain an ecological function zoning result.
When the method is used, firstly, primary data is obtained through GIS software, then the data is used as initial data, an Excel table A of related data is established, the Excel table A is divided into three parts A1, A2 and A3, the names of the three parts are respectively animal population density division, oxygen content and vegetation area, a plurality of groups of related data are obtained through the GIS software, then related mathematical models are established according to the groups of related data, and Matlab software is used for simulation according to the corresponding mathematical models to obtain simulation images.
Meanwhile, a corresponding remote sensing image is obtained through satellite or aerial photography, the monitoring period is three days, namely the digital image is updated once again through satellite or aerial photography every three days, and then the data of the three aspects of the animal population density distribution, the oxygen content and the vegetation area of the digital image are analyzed and recorded into three parts B1, B2 and B3 in an Excel form B.
And performing correlation analysis on the data in the Excel table A and the Excel table B by using SPSS software, wherein other influencing factors need to be introduced during analysis, such as: if the correlation analysis is passed, regression analysis can be continuously performed, and the analysis result can well predict other aspects of forest ecological functions.
The method comprises the steps of obtaining forest ecological resource data in a selected area through GIS software, establishing a corresponding mathematical model, carrying out simulation on the mathematical model through Matlab software, carrying out comparative analysis on a simulation image obtained by simulation and a remote sensing image obtained in real time, carrying out simulation by using related data while obtaining forest ecological data, and well guiding prediction of the zoning trend of future ecological functions.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (3)
1. A method for zoning forest ecological function by using remote sensing technology is characterized by comprising the following steps: firstly, obtaining remote sensing image data through satellite or aerial photography, then analyzing and classifying forest ecological resources in the image by using GIS software, then selecting a certain area, and recording the distribution condition of the ecological resources in the area; establishing an Excel table A, recording the distribution condition of forest ecological resources in the Excel table A, then establishing a corresponding mathematical model for data in the Excel table A, and simulating the mathematical model through Matlab software to obtain a corresponding simulation image;
selecting and acquiring a digital image of a forest system in a certain area in a remote sensing image database, if an analog image needs to be scanned by an image scanner, establishing an Excel table B, recording real-time monitoring data of forest ecological resources in the Excel table B, wherein the monitoring period is three days;
carrying out correlation analysis on the data in the Excel table A and the data in the Excel table B through SPSS software, and carrying out regression analysis if the correlation analysis is passed;
and finally, comparing and analyzing the analysis result obtained by analyzing the simulation image, the result obtained by analyzing through SPSS software and the real-time monitoring data of the forest ecological resources to obtain an ecological function zoning result.
2. The method for forest ecological function zoning by remote sensing technology as claimed in claim 1, wherein: the Excel table A and the Excel table B are divided into parts A1, A2 and A3 and parts B1, B2 and B3.
3. The method for forest ecological function zoning by remote sensing technology as claimed in claim 2, wherein: the data of the part A1 records multiple groups of forest vegetation area data, the data of the part A2 records multiple groups of forest oxygen content data, and the part A3 records multiple groups of animal population density subsection data.
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| CN108286999A (en) * | 2018-01-24 | 2018-07-17 | 江西师范大学 | A kind of method of environmental monitoring of monitoring Forest Growth situation |
| CN112396229B (en) * | 2020-11-16 | 2022-10-18 | 中国科学院东北地理与农业生态研究所 | Region division method for natural or artificial recovery of degraded marsh wetland vegetation |
| CN113033314A (en) * | 2021-02-26 | 2021-06-25 | 浙江方大通信有限公司 | Mobile scenic spot intelligent service system and service method for travel peak deployment |
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| CN101916337A (en) * | 2010-08-23 | 2010-12-15 | 湖南大学 | Method for dynamically predicting potential productivity of paddy rice based on geographical information system |
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