CN112347928A - Method for classifying land types for sea reclamation by using satellite images - Google Patents
Method for classifying land types for sea reclamation by using satellite images Download PDFInfo
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Abstract
The invention discloses a method for classifying land types for enclosing sea reclamation by using satellite images. The change condition of the coastline in the coastal region can directly reflect the influence result of human activities on the natural environment of the coastline, and the coastline is extracted and analyzed by technical means, so that the time-space evolution rule of the coastline can be obtained. The method analyzes and researches the land types of the enclosed sea areas of the new Tianjin coastal area by processing the satellite image data. By establishing a land utilization classification system, classification statistics is carried out on the land reclamation utilization types in the new coastal area, and the specific conditions of the land utilization types in the land reclamation range can be obtained.
Description
Technical Field
The invention belongs to the field of research on the evolution process of coastal zone space reclamation sea and relates to a method for classifying types of land used for reclamation sea by utilizing satellite images.
Background
The sea reclamation development activities developed at the present stage mainly aim at pursuing economic growth, the development mode is extensive and blind, the adverse effect on the space of the coastal zone is not considered, the existing ecological environment of the coastal zone is ignored, and the sustainable development of the coastal zone is seriously influenced. The evolution situation of the land utilization type in the sea reclamation range of the coastal region can directly reflect the land utilization type in a certain stage, and the coastline is extracted and analyzed by a technical means to establish a sea reclamation classification system. On the basis, the evolution conditions of land utilization types in the sea reclamation areas and the periphery of the sea reclamation areas can be further analyzed, and the multi-aspect influence of the sea reclamation development activities on the coastal zone space can be deeply analyzed.
The land type evolution analysis for the coastal zone space reclamation sea area is mainly developed by means of GIS and RS technologies at the present stage, the working efficiency and the precision are greatly improved, and the problems that manual collection is time-consuming and labor-consuming in the past are solved. The remote sensing image can not only monitor a large spatial scale region, but also periodically update the image. The GIS technology is a comprehensive geographic space data integration, processing and analysis system, the RS remote sensing technology can provide original remote sensing image data, and Landsat series data are mainly adopted in the research.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a method for classifying land types for sea reclamation by using a satellite image, so that the evolution research effect of the land types of the sea reclamation areas is better through a satellite remote sensing image and a software platform on the basis of the traditional field investigation.
The technical scheme of the invention comprises the following contents: a method for classifying types of reclamation sites using satellite images, comprising the steps of:
1) acquiring remote sensing image data: combining the specific situation of a new coastal area in Tianjin City, selecting Landsat series satellite images as a basic remote sensing data source, preprocessing the satellite images through a software platform, superposing a plurality of single-band images to synthesize an initial multispectral color image, carrying out geometric correction, selecting a calculation model, collecting ground control points, cutting an output image according to a research range, obtaining the decomposition profiles of the ocean and the tidal flat by using a threshold method, and interpreting the basic data information of the ocean shoreline and the sea reclamation range.
2) Establishing a sea reclamation classification system: the new area of Tianjin coast is classified into first-level sea reclamation and sea filling, and the sea farming, the salt industry and the sea reclamation standby in sea reclamation, the port filling in sea, the transportation, the sea for the temporary sea industry, the urban living and tourism infrastructure, the fishery facility and the sea reclamation standby are classified into second-level sea reclamation and sea filling.
3) Establishing a corresponding remote sensing image interpretation mark: the method is used as a physical basis for distinguishing different remote sensing image ground objects by knowing the difference of the gray values and pixel values such as color, gray, texture, patch shapes and the like of the remote sensing image information and the spatial variation. The information of the shoreline change and the sea reclamation vector can be extracted, modeled and output by an ArcGIS software platform, and can also be realized by a Maplnfo software platform.
THE ADVANTAGES OF THE PRESENT INVENTION
According to the method, the satellite remote sensing images are preprocessed, a classification system of the coastal zone area reclamation sea in the new Tianjin coastal area is established, and the corresponding remote sensing image interpretation marks are established, so that a new idea is provided for solving the problem of the land utilization type of the coastal zone space.
Drawings
FIG. 1 is a distribution diagram of the utilization types of the coastal reclamation areas in Tianjin coastal new areas in 2000;
fig. 2 is a different industry footprint.
Detailed Description
The present invention will be described in detail below with reference to specific embodiments. The specific embodiments of the present invention are provided to better understand the present invention for those skilled in the art, and do not limit the scope of the present invention in any way.
1) Combining the specific conditions of coastal zonal areas of new coastal areas in Tianjin City, selecting Landsat series satellite images as a basic remote sensing data source, preprocessing the satellite images through a software platform, superposing a plurality of single-waveband images to synthesize an initial multispectral color image, carrying out geometric correction, selecting a calculation model, collecting ground control points, cutting an output image according to a research range, obtaining the decomposition profiles of oceans and tidal beaches by using a threshold method, and interpreting the basic data information of a seashore line and a sea reclamation range.
2) Establishing a sea reclamation classification system: the new area of Tianjin coast is classified into first-level sea reclamation and sea filling, and the sea farming, the salt industry and the sea reclamation standby in sea reclamation, the port filling in sea, the transportation, the sea for the temporary sea industry, the urban living and tourism infrastructure, the fishery facility and the sea reclamation standby are classified into second-level sea reclamation and sea filling.
3) Establishing a corresponding remote sensing image interpretation mark: the method is used as a physical basis for distinguishing different remote sensing image ground objects by knowing the difference of the gray values and pixel values such as color, gray, texture, patch shapes and the like of the remote sensing image information and the spatial variation.
The information of the shoreline change and the sea reclamation vector can be extracted, modeled and output by an ArcGIS software platform, and can also be realized by a Maplnfo software platform.
FIG. 1 is a distribution diagram of the utilization types of the coastal reclamation areas in Tianjin coastal new areas in 2000;
fig. 2 is a different industry footprint.
TABLE 1 Sedrium reclamation classification system for Tianjin coastal new area
TABLE 2 interpretation of New Tianjin coastal zone reclamation sea in remote sensing images
The above description should not be taken as limiting the invention, but rather as limiting the scope of the invention, which is defined by the appended claims.
Claims (3)
1. A method for classifying types of reclamation sites using satellite images, comprising the steps of:
1) extracting a coastline through remote sensing image data: processing the satellite image to obtain an initial multispectral color image, and interpreting basic data information in a shoreline and a sea reclamation range;
2) establishing a sea reclamation classification system;
3) establishing a corresponding remote sensing image interpretation mark: the initial multispectral color image is obtained by processing the satellite image, basic data information in a shoreline and a sea reclamation range is interpreted to know the difference of gray values, such as color, gray level, texture, patch shape and the like, and pixel values and space changes of the remote sensing image information, and the difference is used as a physical basis for distinguishing different remote sensing image ground objects.
2. The method for classifying the type of the enclosed marine land reclamation according to claim 1, wherein the step 2) comprises the following steps: the new area of Tianjin coast is classified into first-level sea reclamation and sea filling, and the sea farming, the salt industry and the sea reclamation standby in sea reclamation, the port filling in sea, the transportation, the sea for the temporary sea industry, the urban living and tourism infrastructure, the fishery facility and the sea reclamation standby are classified into second-level sea reclamation and sea filling.
3. The method for classifying the type of the enclosed marine land reclamation according to claim 1, wherein the step 3) comprises the following steps: the information of the shoreline change and the sea reclamation vector can be extracted, modeled and output by an ArcGIS software platform, and can also be realized by a Maplnfo software platform.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107507193A (en) * | 2017-08-04 | 2017-12-22 | 国家海洋环境监测中心 | No. three Synthetic Aperture Radar images Perioperative cardiac events information automation extraction methods of high score |
| CN111680641A (en) * | 2020-06-11 | 2020-09-18 | 自然资源部第一海洋研究所 | Method for identifying and dividing boundary lines of movable water bodies in offshore area under influence of sea reclamation |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107507193A (en) * | 2017-08-04 | 2017-12-22 | 国家海洋环境监测中心 | No. three Synthetic Aperture Radar images Perioperative cardiac events information automation extraction methods of high score |
| CN111680641A (en) * | 2020-06-11 | 2020-09-18 | 自然资源部第一海洋研究所 | Method for identifying and dividing boundary lines of movable water bodies in offshore area under influence of sea reclamation |
Non-Patent Citations (1)
| Title |
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| 穆雪男: ""天津滨海新区围填海演进过程与岸线、湿地变化关系研究"", 《中国优秀博硕士学位论文全文数据库(博士)基础科学辑》 * |
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Application publication date: 20210209 |