CN110503018B - Ridge collapse activity degree judging method based on vegetation coverage - Google Patents
Ridge collapse activity degree judging method based on vegetation coverage Download PDFInfo
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Abstract
The invention relates to the technical field of water and soil conservation comprehensive treatment, in particular to a method for judging the collapse activity degree based on vegetation coverage, which mainly comprises the following steps: s1 obtaining the data of the remote sensing image of collapsing hills in the southern red soil area, S2 calculating vegetation coverage, S3 classification and S4 statistical discrimination. Compared with the traditional method for judging the collapse activity degree, the method for judging the collapse activity degree based on the vegetation coverage effectively avoids the complexity and uncertainty of manual on-site investigation, and has the advantages of accurate judgment result, wide application range and the like.
Description
Technical Field
The invention relates to the technical field of water and soil conservation comprehensive treatment, in particular to a method for judging the collapse activity degree based on vegetation coverage.
Background
The hillock is mainly caused by collapse and scouring caused by damage of hillside soil under the dual influence of water power and gravity, and the occurrence of hillock damages basic farmlands, so that soil nutrient is barren, the water and fertilizer retention capacity is reduced, the ecological environment is deteriorated, and public safety is threatened. Therefore, how to quickly judge the activity degree of the broken hills has important significance for taking broken hills treatment measures in advance in a targeted manner when the broken hills frequently occur and reducing the security threat brought by the broken hills. The vegetation is an important factor influencing the erosion of the hilly posts, so the vegetation condition in the hilly post area is used as a representative evaluation index. Therefore, the invention aims to provide a method for judging the collapse activity degree based on vegetation coverage.
Disclosure of Invention
In view of the above, the invention provides a method for judging the collapse activity degree based on vegetation coverage.
The invention provides a method for judging the collapse activity degree based on vegetation coverage, which comprises the following steps:
s1, acquiring collapsing remote sensing image data of the southern red soil region: respectively obtaining one remote sensing image data of a plurality of research areas, processing a plurality of remote sensing images by ERDAS software to obtain remote sensing image data of southern red soil areas, and processing the remote sensing image data of the southern red soil areas by combining the hill collapse distribution map of the southern red soil areas to obtain the hill collapse remote sensing image data D1 of each research area of the southern red soil areas;
s2, calculating vegetation coverage: NDVI model construction is carried out on the D1 in ERDAS software, and a pixel binary model is combined to calculate the vegetation coverage value of the ground object in each research area in the D1, so that the vegetation coverage value image D2 of each research area in the southern red soil area can be obtained;
s3, classification and classification: according to the vegetation coverage of each research area in D2, carrying out three grading classification treatments of low coverage, medium coverage and high coverage on the vegetation coverage of each research area in D2 in ArcGIS software to obtain a vegetation coverage extraction thematic map D3 of a landslide area in the southern red soil area, wherein the vegetation coverage is defined to be 0% -30% of low coverage, 30% -70% of medium coverage and 70% -100% of high coverage;
s4, statistical judgment: respectively counting the ratio of the low coverage area, the medium coverage area and the high coverage area in the total area of the collapsing channel in the research area in each research area according to the D3, wherein when the ratio of the low coverage area in the research area is more than 65%, the collapsing channel in the research area is in an active period; when the ratio of the low coverage area to the medium coverage area in the research area is in the range of 60-80%, the collapse of the research area tends to be stable; when the ratio of the coverage area to the high coverage area in the research area is more than 75%, the collapse of the research area is basically stable.
Further, the remote sensing image data in S1 is high-resolution No. 2 satellite remote sensing image data.
Further, the process in S1 includes the steps of:
s1a, splicing a plurality of remote sensing images in ERDAS software to obtain a remote sensing image of the southern red soil area preliminarily, and preprocessing the remote sensing image of the southern red soil area;
s1b, cutting the post collapse areas in the remote sensing images of the southern red soil areas obtained after pretreatment by combining the post collapse distribution maps of the southern red soil areas, and obtaining the post collapse remote sensing image data D1 of each research area of the southern red soil areas.
Further, the preprocessing in S1 includes radiation correction, atmospheric correction, and geometric refinement correction.
The technical scheme provided by the invention has the beneficial effects that: compared with the traditional method for judging the collapse activity degree, the method for judging the collapse activity degree based on the vegetation coverage effectively avoids the complexity and uncertainty of manual on-site investigation, and has the advantages of accurate judgment result, wide application range and the like.
Drawings
FIG. 1 is a flow chart of a method for judging the collapse hillock activity degree based on vegetation coverage according to the invention;
FIG. 2 is a result diagram of determining the collapse activity level in Tongcheng areas based on a conventional method;
FIG. 3 is a result diagram for judging the collapse hillock activity degree in the city region based on the vegetation coverage-based collapse hillock activity degree judging method.
Detailed Description
To make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be further described with reference to the accompanying drawings.
As shown in fig. 1, an embodiment of the present invention provides a method for determining an collapse activity degree based on vegetation coverage, which mainly includes the following steps:
s1, acquiring collapsing remote sensing image data of the southern red soil region: respectively downloading data of high-resolution No. 2 satellite remote sensing images of Hubei, Hunan, Jiangxi, Zhejiang, Anhui, Jiangsu, Guangdong, Guangxi and Fujian regions in 2018 years from a national geographic monitoring cloud platform, splicing the obtained multiple high-resolution No. 2 satellite remote sensing images by ERDAS software to preliminarily obtain a remote sensing image of a southern red soil region, preprocessing the remote sensing image of the southern red soil region, and cutting off the hillock regions in the preprocessed southern red soil region remote sensing image by combining a hillock distribution diagram of the southern red soil region obtained by the water conservancy department of the people's republic of China to obtain hillock remote sensing image data D1 of each research region of the southern red soil region, wherein the preprocessing comprises radiation correction, atmospheric correction and geometric refinement correction;
s2, calculating vegetation coverage: NDVI model construction is carried out on the D1 in ERDAS software, and a pixel binary model is combined to calculate the vegetation coverage value of the ground object in each research area in the D1, so that the vegetation coverage value image D2 of each research area in the southern red soil area can be obtained; the specific operation is as follows: opening the D1 obtained in S1 in the ERDAS software, performing modeling operation by using a modulator function and an NDVI model in the ERDAS software, inputting the following formula (1) for calculating vegetation coverage into the modulator function, so as to calculate and output the vegetation coverage value of each landslide area in the D1, thereby obtaining the D2, wherein the expression of the formula (1) is as follows:
fc＝(NDVI-NDVIsoil)/(NDVIveg-NDVIsoil) (1)
wherein f isc- -represents vegetation coverage;
NDVIsoil-NDVI value representing bare picture element without vegetation cover;
NDVIveg-NDVI value representing the bare soil pixels covered by full vegetation;
s3, classification and classification: and carrying out three grading classification treatments of low coverage, medium coverage and high coverage on the vegetation coverage value of each hilly area in the D2 by adopting ArcGIS software, and outputting to obtain a vegetation coverage extraction thematic map D3 of the hilly areas in the red soil areas in the south. Wherein, the vegetation coverage value is defined to be 0-30% as low coverage, the vegetation coverage value is defined to be 30-70% as medium coverage, and the vegetation coverage value is defined to be 70-100% as high coverage; grading and classifying the vegetation coverage values in the D3 by adopting a Spatial analysis function in ArcGIS software;
s4, statistical judgment: inputting the D3 into ArcMap software, and respectively counting the ratio of the low coverage area, the medium coverage area and the high coverage area in the total area of the collapse hills channel in each research area by adopting the ArcMap software, wherein when the ratio of the low coverage area in the research area is more than 65%, the collapse hills in the research area are in an active period; when the ratio of the low coverage area to the medium coverage area in the research area is in the range of 60-80%, the collapse of the research area tends to be stable; when the ratio of the coverage area to the high coverage area in the research area is more than 75%, the collapse of the research area is basically stable. Wherein, the total area of the research area collapse channel can be sketched in ArcMap and automatically counted.
In order to verify the accuracy of the collapsed hillock active degree judging method, the county of Tongcheng of Hubei province is selected as a survey sample plot, the survey sample plot is subjected to field collapsed hillock active degree survey, and the accuracy of the collapsed hillock active degree judging method based on vegetation coverage is verified by combining the result of the collapsed hillock active degree judging method in the invention on the survey sample plot, and the method mainly comprises the following steps:
the method of S1-S4 is firstly used for obtaining the activity degree of collapsing regional collapsing of city of Tongcheng of Hubei province, and then the collapsing morphology parameters of the investigation sample are respectively obtained by means of manual field measurement, so as to respectively obtain the results of the activity degree of collapsing of the investigation sample. The results of investigation of the city county of Hubei province by two different discrimination methods are shown in FIGS. 2 and 3.
As can be seen from fig. 2 and 3, the result of determining the degree of activity of collapsing conducted in the city of north of hubei by the method for determining the degree of activity of collapsing conducted in the city of north of hubei according to the present invention (shown in fig. 2) is consistent with the result of determining the degree of activity of collapsing conducted in the city of north of hubei by the method for manually measuring the field (shown in fig. 3), which indicates that the degree of activity of collapsing conducted in the research area is in the active period based on the determination index of vegetation coverage according to the present invention and "when the ratio of low coverage in the research area is greater than 65%; when the ratio of the low coverage to the medium coverage in the research area is in the range of 60-80%, the collapse of the research area tends to be stable; when the ratio of the coverage to the high coverage in the research area is more than 75%, the result of judging the collapse activity degree by the judgment mode of basically stable collapse in the research area has the advantage of high accuracy.
Here, it should be noted that, it is the prior art to determine the collapse activity degree of the collapse area by investigating the form parameters of the collapse area in a manual field measurement manner, and the principle and the method steps thereof are not described herein again.
Compared with the traditional method for judging the collapse activity degree, the method for judging the collapse activity degree based on the vegetation coverage effectively avoids the complexity and uncertainty of manual on-site investigation, and has the advantages of accurate judgment result, wide application range and the like.
In this document, the terms front, back, upper and lower are used to define the components in the drawings and the positions of the components relative to each other, and are used for clarity and convenience of the technical solution. It is to be understood that the use of the directional terms should not be taken to limit the scope of the claims.
The embodiments and features of the embodiments described herein above may be combined with each other without conflict.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.
Claims (4)
1. A method for judging the collapse activity degree based on vegetation coverage is characterized by comprising the following steps:
s1, acquiring collapsing remote sensing image data of the southern red soil region: respectively obtaining one piece of remote sensing image data of a plurality of research areas, processing a plurality of pieces of remote sensing images by ERDAS software to obtain remote sensing image data of southern red soil areas, and processing the remote sensing image data of the southern red soil areas by combining the hillock distribution diagram of the southern red soil areas to obtain hillock remote sensing image data D1 of each research area of the southern red soil areas;
s2, calculating vegetation coverage: NDVI model construction is carried out on the D1 in ERDAS software, and a pixel binary model is combined to calculate the vegetation coverage value of the ground object in each research area in the D1, so that the vegetation coverage value image D2 of each research area in the southern red soil area can be obtained;
s3, classification and classification: according to the vegetation coverage of each research area in D2, carrying out three grading classification treatments of low coverage, medium coverage and high coverage on the vegetation coverage of each research area in D2 in ArcGIS software to obtain a vegetation coverage extraction thematic map D3 of a landslide area in the southern red soil area, wherein the vegetation coverage is defined to be 0% -30% of low coverage, 30% -70% of medium coverage and 70% -100% of high coverage;
s4, statistical judgment: respectively counting the ratio of the low coverage area, the medium coverage area and the high coverage area in the total area of the collapsing channel in the research area in each research area according to the D3, wherein when the ratio of the low coverage area in the research area is more than 65%, the collapsing channel in the research area is in an active period; when the ratio of the low coverage area to the medium coverage area in the research area is in the range of 60-80%, the collapse of the research area tends to be stable; and when the ratio of the coverage area and the high coverage area in the research area is more than 75%, the collapse of the research area is basically stable.
2. The method for judging the collapse activity degree based on the vegetation coverage according to claim 1, wherein the remote sensing image data in S1 is high-grade No. 2 satellite remote sensing image data.
3. The method for discriminating the collapse activity degree based on the vegetation coverage according to claim 1, wherein the processing in S1 comprises the steps of:
s1a, splicing the multiple remote sensing images in ERDAS software to obtain the remote sensing images of the southern red soil area preliminarily, and preprocessing the remote sensing images of the southern red soil area;
s1b, cutting the post collapse areas in the remote sensing images of the southern red soil areas obtained after pretreatment by combining the post collapse distribution maps of the southern red soil areas, and obtaining the post collapse remote sensing image data D1 of each research area of the southern red soil areas.
4. The method for discriminating the collapse activity degree based on the vegetation coverage according to claim 3, wherein the preprocessing in S1a comprises radiation correction, atmospheric correction and geometric refinement correction.
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| CN104376204A (en) * | 2014-11-06 | 2015-02-25 | 中国测绘科学研究院 | Method for inverting vegetation coverage by adopting improved pixel dichotomy |
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| CN106295576B (en) * | 2016-08-12 | 2017-12-12 | 中国水利水电科学研究院 | A kind of water source type analytic method based on nature geography characteristic |
| CN109425561B (en) * | 2017-08-30 | 2021-04-13 | 中国科学院城市环境研究所 | Governing collapse stability diagnosis technology based on sediment soil profile particle composition in front of sand-blocking dam |
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| CN1446985A (en) * | 2003-04-08 | 2003-10-08 | 刘平 | Method for harnessing collapsing hill |
| CN104376204A (en) * | 2014-11-06 | 2015-02-25 | 中国测绘科学研究院 | Method for inverting vegetation coverage by adopting improved pixel dichotomy |
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