CN112464153A - Method for analyzing soil property change - Google Patents
Method for analyzing soil property change Download PDFInfo
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- CN112464153A CN112464153A CN202011328281.5A CN202011328281A CN112464153A CN 112464153 A CN112464153 A CN 112464153A CN 202011328281 A CN202011328281 A CN 202011328281A CN 112464153 A CN112464153 A CN 112464153A
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Abstract
A land property change analysis method comprises the steps of gridding land in a planning research range, assigning different numbers to different land property attributes, marking the land property of the grid land in each grid, generating a land property digital grid of the land in the planning research range, and regarding the digital grid as a digital matrix reflecting the land property of the land grid; generating a plurality of digital matrixes at different time points according to the historical data of the land property of the planning research range; calculating the difference value of the different digital matrixes to form a difference value matrix; and judging the change trend of the land property according to the difference.
Description
Technical Field
The invention belongs to the technical field of urban and rural planning, and particularly relates to a soil property change analysis method.
Background
With the change of urban systems, urban problems are emerging continuously. The research on spatial variation of cities and the trend thereof is an important way for finding and solving urban problems. The most main sign of urban space expansion is the expansion of urban construction land, and under the background of a new round of homeland space planning, the method for analyzing the property change of the land is also an important method for checking the rationality of the space planning.
At present, most urban planners are assisted by CAD software and analyzed in a manual calculation mode. The workload is large, errors are prone to occur, and connection with the spatial geographic data is difficult to achieve.
Disclosure of Invention
According to one embodiment of the invention, a land property change analysis method comprises the steps of gridding land in a planning research range, assigning different numbers to different land property attributes, marking the land property of the land in each grid, generating a land property digital grid of the land in the planning research range, and regarding the digital grid as a digital matrix reflecting the land property of the land grid; generating a plurality of digital matrixes at different time points according to the historical data of the land in the planning research range; calculating the difference values of the different digital matrixes to form a difference value matrix; and judging the change trend of the land property according to the difference.
Drawings
The above and other objects, features and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:
FIG. 1 is a flow chart of an analysis method according to an embodiment of the present invention.
FIG. 2 is a (partial) exemplary diagram of a land property change analysis matrix according to one of the embodiments of the invention.
Detailed Description
The method is used for analyzing the change of the properties of the construction land over years and diagnosing the future development trend; comparing the difference between the planning scheme and the current construction situation, and judging the rationality of the scheme; and analyzing the difference of the construction land among different schemes, and efficiently comparing and selecting a plurality of schemes. Meanwhile, the invention mainly faces to city planning workers and provides the following three problem solutions: firstly, a general method for analyzing the change of the construction land nature is provided, and the error of manual statistics is reduced; deepen the traditional analysis mode and realize the analysis of the space flow direction of the land change transfer; and thirdly, standardizing the data analysis matrix, and transplanting the standardized data analysis matrix to a plurality of similar scenes for analysis and application.
According to one or more embodiments, a method for detecting spatial variation of properties of a city construction land in city planning comprises the following steps:
acquiring a high-definition satellite image, cutting the high-definition satellite image according to a range, matching the high-definition satellite image with the existing map, projecting the high-definition satellite image and the existing map, and drawing a vector map; and adding a land property attribute, distinguishing by different integers and converting the data into grids.
Taking two pieces of land property grid data of different years for superposition analysis, and reversely checking land property change relations through a difference quick look-up table; and (4) carrying out classification statistics to obtain a land use change matrix, and carrying out spatial mapping.
The method mainly comprises the following four steps of data acquisition, data drawing, data processing and result derivation.
According to one or more embodiments, a method for detecting spatial variation of properties of urban construction land in urban planning comprises the following steps:
step 1: and (6) acquiring data.
And defining a research range, acquiring a high-definition historical satellite image of a research area, performing projection conversion on the high-definition historical satellite image, cutting, and leading out and inserting the high-definition historical satellite image into a dwg file.
Step 2: and (6) data charting.
And combining the relevant data of the research area and matching with the terrestrial property for constructing the high-definition satellite image rendering vector. Distinguishing according to layers, wherein the layer names use 'YD _' as a prefix and are added with land occupation large code numbers; the drawn polygon must be closed during the process and classified into the corresponding map layer.
The attachment provides a dwg format standard file, classified into large and medium classes, on which drawing can continue.
And step 3: and (6) analyzing the data.
And converting the drawn CAD surface file into raster data, and assigning values according to the layer attributes. The above operations are performed on the property map of the construction land in the past year and are named according to year shares. Assigning values according to the layer attributes as follows:
YD_R：1，YD_A：2，YD_B：4，YD_M：8
YD_W：13，YD_S：21，YD_U：31，YD_G：45，YD_E：60
wherein YD denotes "land", and the symbols denote the following meanings: r is a residential land, A is a public management and public service land, B is a commercial service industry facility land, M is an industrial land, W is a logistics storage land, S is a road and transportation facility land, U is a public facility land, G is a green land and square land, and E is a non-construction land.
Selecting year data needing comparison, and calculating the difference value of the homoeographic pixel grids in an overlapping mode; taking a nine-pixel grid as an example, the calculation process is as follows:
from 2018 to 2020, the pixel grid 1 parity difference value is "-7", which indicates that the land property is changed from M to R (industrial land is changed into residential land); the pixel grid 9 has a parity difference value of 7, which represents that the property of land is changed from R to M (residential land to industrial land); the other pixel grid homothetic difference value is zero, and the property of the land is unchanged.
By analogy, the land property change relation can be analyzed according to the difference value. In combination with the land use classification statistics in the urban land classification and planned construction land standard, the numerical array is designed as follows:
remarking: multiple columns with a number to indicate other places not in the classification
And 4, step 4: and (6) exporting the result.
And mapping the difference into a transformation trend according to a 'difference look-up table' of the transformation array, counting the number of the difference, multiplying the number by the size of a single pixel to convert the difference into area data, and obtaining a result of the spatial change of the property of the construction land.
The beneficial effects of the invention include:
(1) machine-assisted, reducing the error probability. Compared with the traditional manual analysis, the method can reduce the probability of errors.
(2) Convenient to use promotes work efficiency. The method of the invention provides standard files and model tools required by processing, and improves the working efficiency.
It should be noted that while the foregoing has described the spirit and principles of the invention with reference to several specific embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, nor is the division of aspects, which is for convenience only as the features in these aspects cannot be combined. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (6)
1. A method for analyzing soil property changes,
gridding the land in the planning research range, assigning different numbers to different land property attributes, marking the land property of the grid land in each grid, generating a land property digital grid of the land in the planning research range, and regarding the digital grid as a digital matrix reflecting the land property of the land grid;
generating a plurality of digital matrixes at different time points according to the historical data of the land property of the planning research range;
calculating the difference value of the different digital matrixes to form a difference value matrix;
and judging the change trend of the land property according to the difference.
2. The land property change analysis method according to claim 1, wherein the land property is a city construction land, which is classified into 9 types, and the attribute assignment includes,
YD_R＝1，YD_A＝2，YD_B＝4，YD_M＝8，
YD_W＝13，YD_S＝21，YD_U＝31，YD_G＝45，YD_E＝60，
where YD denotes the right of way attribute, the suffix symbol denotes the meaning as follows:
r is residential land, A is public management and public service land, B is commercial service industry facility land, M is industrial land, W is logistics storage land, S is road and transportation facility land, U is public facility land, G is green land and square land, and E is non-construction land.
3. The land property change analysis method of claim 1, wherein the method of land gridding for planning a research horizon comprises,
and acquiring a remote sensing digital image of the land in the planning research range, drawing land property vector data of the planning research range, dividing the vector data into smaller blocks according to the research precision requirement, and regarding the divided blocks as grids of the land in the planning research range.
4. A land property change analysis method according to claim 3, wherein the segmented vector grid data is rasterized to form a grid for planning a research area of land.
5. The land property change analysis method according to claim 3 or 4,
and carrying out projection transformation and clipping processing on the obtained high-definition digital image.
6. The land property change analysis method of claim 5, wherein a vector map of a planned research area land is rendered from the digital image.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105279604A (en) * | 2015-09-25 | 2016-01-27 | 同济大学 | Mine-area land resource change cooperative analysis method |
| CN107562693A (en) * | 2017-08-15 | 2018-01-09 | 江苏师范大学 | Land use/cover key element multiple features Transition matrix vector quantization extracting method |
| CN110705449A (en) * | 2019-09-27 | 2020-01-17 | 佛山科学技术学院 | Land utilization change remote sensing monitoring analysis method |
| KR102134278B1 (en) * | 2019-07-23 | 2020-07-15 | 주식회사 선도소프트 | Land use and land use change matrix processing apparatus using spatial big data in LULUCF area |
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- 2020-11-24 CN CN202011328281.5A patent/CN112464153B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105279604A (en) * | 2015-09-25 | 2016-01-27 | 同济大学 | Mine-area land resource change cooperative analysis method |
| CN107562693A (en) * | 2017-08-15 | 2018-01-09 | 江苏师范大学 | Land use/cover key element multiple features Transition matrix vector quantization extracting method |
| KR102134278B1 (en) * | 2019-07-23 | 2020-07-15 | 주식회사 선도소프트 | Land use and land use change matrix processing apparatus using spatial big data in LULUCF area |
| CN110705449A (en) * | 2019-09-27 | 2020-01-17 | 佛山科学技术学院 | Land utilization change remote sensing monitoring analysis method |
Non-Patent Citations (4)
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| KELISHADI, H ET AL.: "Near-saturated soil hydraulic properties as influenced by land use management systems in Koohrang region of central Zagros, Iran", GEODERMA, 5 February 2014 (2014-02-05) * |
| 刘海江等: "受损沙地生态系统景观变化分析――以内蒙古浑善达克沙地为例", 植物生态学报, no. 06, 30 November 2007 (2007-11-30), pages 1063 - 1072 * |
| 叶庆华等: "黄河三角洲新生湿地土地利用变化图谱", 地理科学进展, vol. 2003, no. 02, 10 April 2003 (2003-04-10), pages 141 - 148 * |
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