CN114662526A - Forest land ecological monitoring method based on remote sensing data and multi-temporal SAR (synthetic aperture radar) images - Google Patents
Forest land ecological monitoring method based on remote sensing data and multi-temporal SAR (synthetic aperture radar) images Download PDFInfo
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Abstract
The invention discloses a forest land ecological monitoring method based on remote sensing data and multi-temporal SAR images, which is divided into 3 modules in total and comprises the following modules: the device comprises an acquisition module, a processing module and a merging module. Aiming at the problems of the traditional forestry, the method comprises the steps of collecting multi-temporal SAR images and multi-source multi-temporal optical images of forest areas, comparing the acquired multi-temporal SAR images and the multi-source multi-temporal optical images with the SAR images and the optical images, identifying and comparing the positions and the types of change areas, and finally forming a regular change monitoring report; and multi-temporal SAR images and multi-source multi-temporal optical images of the forest area are collected, and the two images are combined when any one of the two images is deviated or misdetected or the image is not clear, so that the monitoring accuracy is improved, and the forest resource, the land utilization condition and the ecological restoration state of the forest area can be dynamically mastered. And important information guarantee and intelligence support are provided for effective evaluation and management of forestry resources and reasonable protection and utilization of forests.
Description
Technical Field
The invention relates to the technical field of forest land ecological monitoring methods, in particular to a forest land ecological monitoring method based on remote sensing data and multi-temporal SAR images.
Background
Forest ecological monitoring focuses on capturing subtle changes in the forest land. And monitoring the change of the forest land. The change monitoring refers to the comparison and analysis of two or more remote sensing images of the same region in different time phases, and the change information of the ground features of the region along with the time is extracted. In various fields such as forest ecological investigation, forest ecological monitoring by means of remote sensing data and multi-temporal SAR images draws more and more attention.
Traditional forestry management and protection mainly rely on artifically, inefficiency, the scheduling problem that the timeliness is poor, and the developments in forest zone are mastered untimely for the administrator can not real-time dynamic master the state to forest zone forest resource, land utilization condition and ecological remediation, influences the protection in forest zone and management level.
Aiming at the problems of the traditional forestry, the method comprises the steps of collecting multi-temporal SAR images and multi-source multi-temporal optical images of forest areas, comparing the acquired multi-temporal SAR images and the multi-source multi-temporal optical images with the SAR images and the optical images, identifying and comparing the positions and the types of change areas, and finally forming a regular change monitoring report; and multi-temporal SAR images and multi-source multi-temporal optical images of the forest area are collected, and the two images are combined when any one of the two images is deviated or misdetected or the image is not clear, so that the problems can be effectively avoided, the monitoring accuracy is improved, and the forest resource, the land utilization condition and the ecological restoration state of the forest area can be conveniently and dynamically mastered. In the forestry management process, the change of the forest land of the concerned area is discovered in time, the forest protection and ecological restoration conditions are dynamically reflected, and important information guarantee and intelligence support are provided for effective evaluation and management of forestry resources and reasonable protection and utilization of forests.
Disclosure of Invention
The invention aims to provide a forest land ecological monitoring method based on remote sensing data and multi-temporal SAR images, which aims to overcome the defects in the prior art.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a forest land ecological monitoring method based on remote sensing data and multi-temporal SAR images is totally divided into 3 modules and comprises the following steps:
s1: the acquisition module is used for acquiring active remote sensing data and passive remote sensing data of the forest land;
s2: the processing module is used for respectively processing the acquired data to obtain a monitoring report;
s3: and the merging module is used for integrating the monitoring reports and merging the monitoring reports with the dynamic data to generate a final monitoring report.
Further, the forest land in the step S1The active remote sensing data is specifically data information of a forest land acquired by a Synthetic Aperture Radar (SAR), namely SAR images; the passive remote sensing data is specifically an optical remote sensing image of the forest land acquired by a high-resolution satellite. Wherein, the SAR image is counted as ISARAnd optical remote sensing image is IOImage ISARAnd IOIs W × H, where W is the width of the image and H is the height of the image.
Further, the step S2 specifically includes:
s21: processing the collected active remote sensing data of the forest land;
s22: and processing the collected passive remote sensing data of the forest land.
Further, the step S21 is specifically to respectively reduce noise of the single-time SAR image to suppress noise of coherent speckle of the SAR image, to ensure that edge and texture information of the single-time SAR image is retained, to construct a difference image of the multi-time SAR image by a ratio method, to combine the difference image with the monitored forest district, to analyze a difference between a variable category and a non-variable category in the difference image by using an optimal probability distribution model, to extract a variable region in the middle image by using an automatic threshold method, to separate out a characteristic of the change, and to obtain a monitoring result.
Further, step S22 is to directly receive natural atmospheric radiation information by using a certain receiving device, collect multi-source and multi-time data, assimilate the data by radiation normalization, and determine a result of change by using a change detection algorithm.
Further, the step S3 specifically includes:
s31: determining a change area and extracting a vector of the change area by combining SAR image change monitoring and a monitoring report of optical remote sensing data;
s32: judging the degree and variety of change by combining multisource multi-time optical remote sensing data of similar time phases, and evaluating the degree and influence of the change;
s33: finally, a change monitoring report is formed, and the dynamic monitoring of the forest land is completed.
Compared with the prior art, the invention has the advantages that: aiming at the problems of the traditional forestry, the method comprises the steps of collecting multi-temporal SAR images and multi-source multi-temporal optical images of forest areas, comparing the acquired multi-temporal SAR images and the multi-source multi-temporal optical images with the SAR images and the optical images, identifying and comparing the positions and the types of change areas, and finally forming a regular change monitoring report; and multi-temporal SAR images and multi-source multi-temporal optical images of the forest area are collected, and the two images are combined when any one of the two images is deviated or misdetected or the image is not clear, so that the problems can be effectively avoided, the monitoring accuracy is improved, and the forest resource, the land utilization condition and the ecological restoration state of the forest area can be conveniently and dynamically mastered. In the forestry management process, the change of the forest land of the concerned area is found in time, the conditions of forest protection and ecological restoration are dynamically reflected, and important information guarantee and intelligent support are provided for effective evaluation and management of forestry resources and reasonable protection and utilization of forests.
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FIG. 1 is a flow chart of a forest land ecological monitoring method based on remote sensing data and multi-temporal SAR images.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, and the scope of the present invention will be more clearly and clearly defined.
Referring to fig. 1, the embodiment discloses a forest ecological monitoring method based on remote sensing data and multi-temporal SAR images, which comprises the following steps:
step S1: the collection module collects active remote sensing data and passive remote sensing data of the forest land. The method specifically comprises the following steps:
the active remote sensing data of the forest land is data information of the forest land acquired by a Synthetic Aperture Radar (SAR), namely SAR images; the passive remote sensing data is an optical remote sensing image of the forest land acquired by a high-resolution satellite. Wherein, the SAR image is counted as ISARAnd optical remote sensing image is IOImage ISARAnd IOIs W × H, wherein W is the width of the image and H is the imageThe height of the image.
Step S2: and the processing module is used for respectively processing the acquired data to obtain a monitoring report. The method specifically comprises the following steps:
s21: and processing the acquired active remote sensing data of the forest land. The method specifically comprises the following steps:
the method comprises the steps of respectively reducing noise of a single-time SAR image to inhibit noise of SAR image coherent spots, ensuring that edge and texture information of the single-time SAR image is reserved, constructing a difference image of multi-time-phase SAR images through a ratio method, combining the difference image with a monitored forest region, analyzing the difference between variable and invariable types in the difference image by using an optimal probability distribution model, extracting a variable region in the middle image through an automatic threshold value method, separating the characteristic of the change, and obtaining a monitoring result.
S22: and processing the collected passive remote sensing data of the forest land. The method specifically comprises the following steps:
the method comprises the steps of directly receiving atmospheric natural radiation information by using certain receiving equipment, collecting multi-source and multi-time data, assimilating the data by radiation normalization, and determining a change result by using a change detection algorithm.
The processing module is a server with a data independent processing function, the processing module is in communication connection with the acquisition module, the communication connection can be indirect coupling or communication connection of some communication interfaces, devices or modules, and the communication connection can be in an electric, mechanical or other form. The server of the simultaneous processing module can be a single server or a plurality of servers. The server group may be centralized or distributed.
Step S3: and the merging module is used for integrating the monitoring reports and merging the monitoring reports with the dynamic data to generate a final monitoring report. The method specifically comprises the following steps:
s31: determining a change area and extracting a vector of the change area by combining SAR image change monitoring and a monitoring report of optical remote sensing data;
s32: judging the degree and variety of change by combining multisource multi-time optical remote sensing data of similar time phases, and evaluating the degree and influence of the change;
s33: finally, a change monitoring report is formed, and the dynamic monitoring of the forest land is completed.
The merging module is a manager server, and a server connected with the processing module can be local or remote and is used for merging data results obtained by the processing module.
The present embodiment also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program performs the steps of the forest land dynamic change monitoring method according to the above embodiment.
In this embodiment, each functional unit may be integrated into one processing unit, each unit may exist separately, or two or more units are integrated into one unit. The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium executable by a processor. In this regard, the present invention may be embodied as a software product, which is stored in a storage medium (e.g., a usb disk, a removable hard disk, or an optical disk), and includes instructions for causing a computer device (e.g., a notebook computer, a computer, etc.) to perform all or part of the steps of the method according to the embodiment of the present invention.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, various changes or modifications may be made by the patentees within the scope of the appended claims, and within the scope of the invention, as long as they do not exceed the scope of the invention described in the claims.
Claims (6)
1. A forest land ecological monitoring method based on remote sensing data and multi-temporal SAR images is characterized by comprising the following steps:
s1: the acquisition module is used for acquiring active remote sensing data and passive remote sensing data of the forest land;
s2: the processing module is used for respectively processing the acquired data to obtain a monitoring report;
s3: and the merging module is used for integrating the monitoring reports and merging the monitoring reports with the dynamic data to generate a final monitoring report.
2. The forest ecological monitoring method based on remote sensing data and multi-temporal SAR images as claimed in claim 1, wherein the active remote sensing data of the forest in step S1 is data information of the forest acquired by Synthetic Aperture Radar (SAR), namely SAR images; the passive remote sensing data is optical remote sensing image of forest land acquired by high-resolution satellite, wherein the SAR image is ISARAnd optical remote sensing image is IOImage ISARAnd IOIs W × H, where W is the width of the image and H is the height of the image.
3. The forest land ecological monitoring method based on remote sensing data and multi-temporal SAR images as claimed in claim 1, wherein said step S2 specifically comprises:
s21: processing the collected active remote sensing data of the forest land;
s22: and processing the collected passive remote sensing data of the forest land.
4. The forest ecological monitoring method based on remote sensing data and multi-temporal SAR images as claimed in claim 3, wherein the step S21 is specifically to respectively reduce noise of a single-temporal SAR image, to suppress noise of SAR image coherent speckle, to ensure that edge and texture information of the single-temporal SAR image is retained, to construct a difference image for the multi-temporal SAR image by a ratio method, to combine with a monitored forest zone, to analyze the difference between changed and unchanged types in the difference image by using an optimal probability distribution model, to extract a changed region in the image by an automatic threshold method, to separate out changed characteristics, to obtain a monitoring result.
5. The forest land ecological monitoring method based on the remote sensing data and the multi-temporal SAR images as claimed in claim 3, wherein the step S22 is specifically to utilize a certain receiving device to directly receive the natural radiation information of the atmosphere, collect multi-source and multi-temporal data, assimilate the data through radiation normalization, and determine the result of change by using an algorithm of change detection.
6. The forest land ecological monitoring method based on remote sensing data and multi-temporal SAR images as claimed in claim 1, wherein said step S3 specifically comprises:
s31: determining a change area and extracting a vector of the change area by combining SAR image change monitoring and a monitoring report of optical remote sensing data;
s32: the degree and the type of change are judged by combining multi-source multi-time optical remote sensing data of similar time phases, and the degree and the influence of the change are evaluated;
s33: finally, a change monitoring report is formed, and the dynamic monitoring of the forest land is completed.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116206216A (en) * | 2023-05-06 | 2023-06-02 | 山东省国土空间数据和遥感技术研究院(山东省海域动态监视监测中心) | Vector geographic information acquisition method and system based on remote sensing image |
| CN116481600A (en) * | 2023-06-26 | 2023-07-25 | 四川省林业勘察设计研究院有限公司 | Plateau forestry ecological monitoring and early warning system and method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116206216A (en) * | 2023-05-06 | 2023-06-02 | 山东省国土空间数据和遥感技术研究院(山东省海域动态监视监测中心) | Vector geographic information acquisition method and system based on remote sensing image |
| CN116481600A (en) * | 2023-06-26 | 2023-07-25 | 四川省林业勘察设计研究院有限公司 | Plateau forestry ecological monitoring and early warning system and method |
| CN116481600B (en) * | 2023-06-26 | 2023-10-20 | 四川省林业勘察设计研究院有限公司 | Plateau forestry ecological monitoring and early warning system and method |
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