CN112254703B - Water and soil loss remote sensing dynamic monitoring method, intelligent terminal and storage medium - Google Patents

Water and soil loss remote sensing dynamic monitoring method, intelligent terminal and storage medium Download PDF

Info

Publication number
CN112254703B
CN112254703B CN202011102555.9A CN202011102555A CN112254703B CN 112254703 B CN112254703 B CN 112254703B CN 202011102555 A CN202011102555 A CN 202011102555A CN 112254703 B CN112254703 B CN 112254703B
Authority
CN
China
Prior art keywords
information
elevation map
change
altitude
elevation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202011102555.9A
Other languages
Chinese (zh)
Other versions
CN112254703A (en
Inventor
王玉华
丁业滔
张楠
郑瀚天
王燕
张可
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Yueyuan Engineering Consulting Co ltd
Original Assignee
Guangdong Yueyuan Engineering Consulting Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Yueyuan Engineering Consulting Co ltd filed Critical Guangdong Yueyuan Engineering Consulting Co ltd
Priority to CN202011102555.9A priority Critical patent/CN112254703B/en
Publication of CN112254703A publication Critical patent/CN112254703A/en
Application granted granted Critical
Publication of CN112254703B publication Critical patent/CN112254703B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C5/00Measuring height; Measuring distances transverse to line of sight; Levelling between separated points; Surveyors' levels
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01WMETEOROLOGY
    • G01W1/00Meteorology
    • G01W1/02Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/30Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/33Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
    • G06T7/337Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving reference images or patches
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Remote Sensing (AREA)
  • Geometry (AREA)
  • Environmental & Geological Engineering (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Atmospheric Sciences (AREA)
  • Ecology (AREA)
  • Environmental Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Graphics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Alarm Systems (AREA)

Abstract

The invention relates to the technical field of remote sensing monitoring, in particular to a remote sensing dynamic monitoring method for water and soil loss, which comprises the following steps: acquiring an original elevation map corresponding to a monitored area; acquiring weather change information, and judging whether the weather change information contains strong weather change information which can cause soil erosion; and if so, acquiring and feeding back the current elevation map information. The invention solves the problems of smaller monitoring range and weak timeliness, and has the effects of large monitoring range and strong timeliness of monitoring data.

Description

Water and soil loss remote sensing dynamic monitoring method, intelligent terminal and storage medium
Technical Field
The invention relates to the technical field of remote sensing monitoring, in particular to a method and a system for remotely sensing and dynamically monitoring water loss and soil erosion, an intelligent terminal and a storage medium.
Background
In water and soil conservation and ecological environment construction, the primary work is water and soil loss monitoring, the work can provide quantitative water and soil loss monitoring data for regional ecosystem construction, forecast regional water and soil loss trends, and provide technical support for relevant policies in water and soil conservation planning and ecological construction formulated by governments.
The traditional Chinese patent with the reference publication number of CN109425550A discloses a water and soil loss monitoring system, which comprises a runoff plot surrounded by brick walls and a grit chamber positioned at the bottom of the runoff plot, wherein a water outlet communicated with the grit chamber is arranged on the wall at the bottom of the runoff plot, and a water outlet pipe is arranged at the bottom of the grit chamber; and a T-shaped groove is formed in the side wall of the grit chamber, a bulge matched with the T-shaped groove is formed in the side edge of the second filter screen, a weighbridge is arranged at the bottom of the grit chamber, a plastic film matched with the grit chamber is arranged in the grit chamber, and the plastic film is matched with the side wall and the bottom of the grit chamber. When the water and soil loss monitoring system is used, water is drained from the drain pipe, sediment is left, a small part of samples can be directly taken for testing, the second filter screen is taken out, the total sediment amount is directly measured by the weighbridge, the total water and soil loss amount is further calculated, the work flow is reduced, and the labor intensity is reduced; the second filter screen is provided with a brush, so that the second filter screen cannot be blocked by silt, the water can smoothly flow through the second filter screen, muddy water cannot overflow, and the monitoring precision is improved; the second filter screen is arc-shaped, so that the filter area is increased, and the filter speed is increased; after monitoring, the soil in the grit chamber can be sent back to the original place without sliding away, and the soil and water in the nose tip runoff area are lost.
The above prior art solutions have the following drawbacks: the soil erosion monitoring system is small in monitoring range and inconvenient to monitor soil erosion and water loss conditions in a large area.
Disclosure of Invention
The invention aims to provide a remote sensing dynamic monitoring method for water and soil loss, which has the characteristics of large monitoring range and strong timeliness of monitoring data.
The above object of the present invention is achieved by the following means.
A remote sensing dynamic monitoring method for water loss and soil erosion comprises the following steps:
acquiring an original elevation map corresponding to a monitored area;
acquiring weather change information, and judging whether the weather change information contains strong weather change information which can cause soil erosion;
and if so, acquiring and feeding back the current elevation map information.
By adopting the technical scheme, the original elevation map corresponding to the monitoring area is acquired through the remote sensing technology, the earth surface elevation information of a larger area can be acquired, and the latest elevation map information of the corresponding area is acquired again after the strong climate phenomenon which can cause water and soil loss occurs, so that the surface water and soil structure of the area with the strong climate phenomenon is updated, and the high-timeliness monitoring of the water and soil structure information in a larger range is realized.
The present invention in a preferred example may be further configured to: the method further comprises the following steps:
comparing the current elevation map information with the original elevation map information to obtain elevation map change information;
and analyzing and feeding back the elevation map change information.
By adopting the technical scheme, the original elevation map and the current elevation map are compared, and the difference between the original elevation map and the current elevation map is analyzed, so that the area with the changed altitude in the current elevation map can be obtained, the area with the changed altitude can be positioned and marked, and then the current elevation map with the mark is fed back to the display module, and the indicating and reminding functions can be realized.
The invention in a preferred example may be further configured to: the elevation map change information comprises elevation fall information; the specific steps of analyzing and feeding back the elevation map change information are as follows:
analyzing the altitude drop information, and dividing the altitude drop information into a plurality of different altitude change grades according to the magnitude of the altitude drop information;
presetting risk prompt information corresponding to altitude change grades one by one;
and outputting risk prompt information corresponding to the altitude drop information to a position corresponding to the altitude drop information in the current elevation information map.
By adopting the technical scheme, the altitude fall information is classified, so that the altitude change grade corresponding to the altitude fall information is obtained, different risk prompt information is given according to different altitude change grades, and the conditions of altitude change and water and soil loss are reflected more visually in the current elevation map for a monitor to refer to or a relevant suggestion of water and soil conservation is provided for a detector.
The invention in a preferred example may be further configured to: the method for comparing the current elevation map information with the original elevation map information to obtain the elevation map change information comprises the following steps:
matching the current elevation map with the original elevation map;
judging whether the contour lines in the current elevation map are overlapped with the contour lines in the original elevation map;
if not, acquiring altitude change position information corresponding to an area surrounded by the contour lines in the non-overlapped front elevation map and the contour lines in the original elevation map;
acquiring current altitude information corresponding to the altitude change position information in a current elevation map;
acquiring original altitude information corresponding to altitude change position information in an original elevation map;
obtaining altitude drop information by utilizing the difference between the current altitude information and the original altitude information;
and feeding back the elevation difference information and elevation change position information corresponding to the elevation difference information as elevation map change information.
By adopting the technical scheme, the contour lines in the current elevation map and the original elevation map are matched and compared, when the processing module executes the step, the judgment can be carried out through the tracking of the contour lines without comparing each area of the whole current elevation map, and when the contour lines of the original elevation map and the contour lines of the current elevation map are not overlapped, the closed graph surrounded by the non-overlapped contour lines is subjected to more accurate data analysis, so that the calculated amount of the processing module is reduced, and the comparison speed is improved.
The invention may further be configured in a preferred example, the method further comprising:
acquiring the change information of the previous elevation map;
analyzing the change information of the previous elevation map to acquire the position information of active altitude change;
and feeding back preset altitude active change warning information to a position corresponding to the altitude active change position information in the current elevation map.
By adopting the technical scheme, the area with frequent altitude change, namely the area with frequent water and soil structure change can be obtained by combining the change information of the previous elevation map, the area with frequent water and soil structure change is obtained, and the warning information is marked on the corresponding position of the current elevation map, so that the function of analyzing the area with frequent water and soil structure change by combining the change data of the previous elevation map and giving a prompt function is realized, and the reference is provided for the water and soil conservation work.
The present invention in a preferred example may be further configured to: the specific method for analyzing the change information of the previous elevation map to acquire the position information of the active altitude change comprises the following steps:
analyzing the elevation map change information to acquire elevation change position information with elevation change;
taking a coordinate corresponding to the altitude change position information as the center of a preset judgment area;
presetting a judgment period for judging whether altitude change is active or not;
acquiring the quantity of elevation map change information appearing in a judgment area during a judgment period;
judging whether the quantity of the elevation map change information is larger than a preset warning threshold value or not;
the altitude change position information corresponding to the center of the judgment area is used as the altitude active change position information.
The present invention in a preferred example may be further configured to: the plurality of judgment areas comprise position information with the same altitude change at the center.
By adopting the technical scheme, the coordinate point corresponding to the altitude active change position information is used as the center, the plurality of concentric preset judgment areas are established, the times of water and soil loss occurring in the judgment areas are obtained, the range of analyzing the water and soil structure change active degree is enlarged, reference data is provided for analysis of the water and soil loss cause, and convenience is provided for tracing the water and soil loss cause.
The invention also aims to provide a water and soil loss remote sensing dynamic monitoring system which has the characteristics of large monitoring range and strong timeliness of monitoring data.
The second object of the present invention is achieved by the following technical solutions.
A remote sensing dynamic monitoring system for water and soil loss comprises: the display module is used for displaying the original elevation map and the current elevation map; and a data processing module, the data processing module comprising: the communication sub-module is used for acquiring an original elevation map, a current elevation map and weather change information through a computer network; and the processor submodule is used for performing data calling operation such as analysis, judgment, data acquisition, data output and the like.
The invention aims to provide the remote sensing dynamic monitoring intelligent terminal for water and soil loss, which has the characteristics of large monitoring range and strong timeliness of monitoring data.
The third object of the invention is realized by the following technical scheme:
an intelligent terminal for remote sensing dynamic monitoring of water loss and soil erosion, which comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and execute the method as claimed in any one of claims 1 to 7.
The fourth purpose of the invention is to provide a computer storage medium which can store corresponding programs and has the characteristic of being convenient for realizing high-timeliness monitoring in a larger range.
The fourth object of the invention is realized by the following technical scheme:
a computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 7.
In summary, the present invention includes at least one of the following beneficial effects:
the original elevation map corresponding to the monitored area is obtained through a remote sensing technology, the earth surface elevation information of a larger area can be obtained, and the latest elevation map information of the corresponding area is obtained again after a strong climate phenomenon which can cause water and soil loss occurs, so that the surface water and soil structure of the area with the strong climate phenomenon is updated, and the high-timeliness monitoring of the water and soil structure information in a larger range is realized;
comparing the original elevation map with the current elevation map, and analyzing the difference between the original elevation map and the current elevation map, so that the area with the changed altitude in the current elevation map can be obtained, the area with the changed altitude can be positioned and marked, and then the current elevation map with the mark is fed back to the display module, so that the indicating and reminding functions are realized;
the method comprises the steps of establishing a plurality of concentric preset judging areas by taking a coordinate point corresponding to altitude active change position information as a center, and acquiring the times of water and soil loss occurring in the judging areas, so that the range of analyzing the active degree of water and soil structure change is enlarged, reference data is provided for analysis of water and soil loss cause, and convenience is provided for tracing of the water and soil loss cause.
Drawings
Fig. 1 is a block diagram of a method structure according to an embodiment of the present invention.
FIG. 2 is a flow chart of step 4 of one embodiment of the present invention.
FIG. 3 is a flow chart of step 5 of one embodiment of the present invention.
FIG. 4 is a flowchart of step 7 according to one embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
The embodiment of the invention provides a remote sensing dynamic monitoring method for water loss and soil erosion, which comprises the following steps: acquiring an original elevation map corresponding to a monitored area; acquiring weather change information, and judging whether the weather change information contains strong weather change information which can cause water and soil loss; and if so, acquiring and feeding back the current elevation map information.
In the embodiment of the present invention, the first and second,
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 obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship, unless otherwise specified.
The embodiments of the present invention will be described in further detail with reference to the drawings attached hereto.
The embodiment of the invention provides a remote sensing dynamic monitoring method for water loss and soil erosion, and the main flow of the method is described as follows.
Step 100: an original elevation map corresponding to the monitored area is acquired.
The elevation map can be called from a corresponding remote sensing satellite database or a remote sensing elevation map website through the Internet; the original elevation map is the latest elevation map which can be obtained when the system starts to operate.
Step 200: acquiring weather change information, and judging whether the weather change information contains strong weather change information which can cause soil erosion.
The weather change information represents data of various weather phenomena occurring in the monitored area, including but not limited to the type, intensity, occurring area, starting and stopping time and the like of the weather phenomena; the weather types include but are not limited to natural phenomena such as wind blowing, rainfall, snowfall, hail, thunder and lightning which can cause the change of the water and soil on the earth surface, and strong weather information which can cause water and soil loss in the weather types includes natural phenomena or disasters such as strong wind, strong rainfall, flood caused by strong rainfall and the like which can cause the change of the water and soil on the earth surface; the intensity comprises intensity levels corresponding to weather phenomena, such as wind power level, rainfall, snowfall intensity and the like.
Step 300: if yes, obtaining and feeding back the current elevation map information; if not, acquiring the weather change information again.
If the weather change information contains strong weather information, the possibility that the earth surface water and soil structure in the monitored area changes is shown, at the moment, the latest elevation map information of the area is obtained again to serve as the current elevation map information, the mode of feeding back the current elevation map information comprises the step of outputting the elevation map to a terminal with a display function, such as an electronic display screen, a projection device, a computer display, a collecting display screen and the like, and if the weather change information does not contain the strong weather information, the weather change information is obtained again according to a certain period or frequency.
Step 400: and comparing the current elevation map information with the original elevation map information to obtain elevation map change information.
The elevation map change information comprises elevation fall information and elevation change position information which corresponds to the elevation fall information one by one; referring to fig. 2, the specific steps are as follows:
step 410: and matching the current elevation map with the original elevation map.
The matching method comprises the steps of overlapping an original elevation map and a current elevation map, and the specific method comprises the steps of obtaining coordinates of a plurality of boundary points of the current elevation map, wherein the coordinates of the boundary points are more than or equal to three, finding a plurality of points corresponding to the coordinates of the boundary points on the original elevation map, enabling the boundary points of the current elevation map to correspond to the points in the original elevation map one by one, adjusting the size ratio of the current elevation map, enabling the points in the current elevation map to correspond to and overlap the original elevation map one by one, and further completing the overlapping of the original elevation map and the current elevation map.
Step 420: and judging whether the contour lines in the current elevation map are overlapped with the contour lines in the original elevation map.
After the original elevation map and the current elevation map are overlapped, if the contour lines in the current elevation map are overlapped with the contour lines in the original elevation map, it indicates that the water and soil structure of the area corresponding to the current elevation map has not changed under the action of the weather phenomenon corresponding to the strong weather information, if not, it indicates that the water and soil structure of the area corresponding to the elevation map has changed under the action of the weather phenomenon, and at the moment, the altitude change position information corresponding to the area surrounded by the contour lines in the non-overlapped front elevation map and the contour lines in the original elevation map is obtained.
Step 430: and acquiring current altitude information corresponding to the altitude change position information in the current elevation map.
The current altitude information is a current average altitude value of a position corresponding to the altitude change position information extracted from the current elevation map.
Step 440: and acquiring original altitude information corresponding to the altitude change position information in the original elevation map.
The original elevation information is an original average elevation value of a position corresponding to the elevation change position information extracted from the original elevation map.
Step 450: and obtaining altitude drop information by utilizing the difference between the current altitude information and the original altitude information.
The altitude fall information is obtained by subtracting the original altitude height value from the current average altitude height value, and when the value of the altitude fall information is a positive value, the altitude of the area corresponding to the altitude change position information is increased, and when the value of the altitude fall information is a negative value, the altitude of the area corresponding to the altitude change position information is decreased.
Step 460: and feeding back the elevation difference information and elevation change position information corresponding to the elevation difference information as elevation map change information.
The altitude change position information and the altitude fall information are in one-to-one correspondence and output to the high-level diagram for display.
Step 500: and analyzing and feeding back the elevation map change information.
Referring to fig. 3, the specific steps are as follows:
step 510: and analyzing the altitude drop information, and dividing the altitude drop information into a plurality of different altitude change levels according to the size of the altitude drop information.
The altitude change grade is a plurality of continuous numerical intervals, the altitude fall information is analyzed, the value of the altitude fall information is matched with a plurality of numerical intervals corresponding to the altitude change grade, and the vertical interval to which the value of the altitude fall information belongs is the altitude change grade corresponding to the altitude fall information.
Step 520: and presetting risk prompt information corresponding to the altitude change grades one by one.
The method comprises the following steps that risk prompt information corresponding to the significance of an altitude change grade is preset according to the intensity of surface water and soil changes represented by the altitude change grade, wherein the risk prompt information comprises characters, images or combinations of the characters and the images, such as legends and the like marked in an elevation map; in this embodiment, the risk prompt information is a color block with the same outline as the altitude change position information, and the colors of the risk prompt information corresponding to different seaside change levels are different.
Step 530: and outputting the risk prompt information corresponding to the altitude drop information to the position corresponding to the altitude drop information in the current altitude information diagram.
And outputting the color blocks representing the risk prompt information to an area represented by the altitude change position information in the current elevation map, and overlapping the outline of the color blocks with the outline of the area corresponding to the altitude change position information.
Step 600: and obtaining the change information of the previous elevation map.
The method comprises the steps of obtaining previous elevation change information of an area covered by a current elevation map, and analyzing the water and soil structure change frequency of the area through the elevation change information.
Step 700: analyzing the change information of the previous elevation map to acquire the position information of the active altitude change. Referring to fig. 4, the specific steps are as follows:
step 710: the elevation map change information is analyzed to obtain elevation change location information where there is an elevation change.
In the above steps, elevation change position information indicating a position of an area where a water and soil structure change occurs is obtained, and at this time, areas corresponding to the elevation change position information are obtained one by one in the drawing.
Step 720: and taking the coordinate corresponding to the altitude change position information as the center of the preset judgment area.
The plurality of judgment areas comprise a plurality of concentric circles with different radiuses at the center of the position represented by the same altitude change position information.
Step 730: a determination period for determining whether altitude change is active is preset.
The determination period is a time period scale used for determining whether the change of the water-soil structure is frequent, and the end point of the time period scale is the time for acquiring the current elevation map.
Step 740: the amount of elevation map change information that appears in the determination area during the determination period is acquired.
Step 750: and judging whether the quantity of the elevation map change information is greater than a preset warning threshold value.
If the quantity of the elevation map change information is larger than a preset warning threshold value, the elevation change position information corresponding to the center of the judgment area is used as active elevation change position information.
Step 800: and feeding back preset altitude active change warning information to a position corresponding to the altitude active change position information in the current elevation map.
The warning information is characters, symbols, images or a combination thereof which are used for displaying in the current elevation map and used for representing warning; the warning information is fed back to the position corresponding to the position information of the active altitude change in the current elevation map, so that the warning information can be used for prompting a monitor that the area is an area where the water and soil structure changes easily occur, and the water and soil conservation work should be carried out as soon as possible, thereby providing data for reference for the environment protection work.
Based on the same inventive concept, the embodiment of the application provides a remote sensing dynamic monitoring system for water loss and soil erosion, which comprises: the data processing module comprises a communication sub-module and is used for acquiring an original elevation map, a current elevation map and meteorological change information through a computer network; the processor submodule is used for performing data calling operation such as analysis, judgment, data acquisition, data output and the like; and the display module is used for displaying the original elevation map and the current elevation map.
Based on the same inventive concept, the embodiments of the present application provide a computer-readable storage medium, which includes instructions capable of being loaded and executed by a processor to implement the steps as described in the flowcharts of fig. 1 to 4.
The computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Based on the same inventive concept, the embodiment of the application provides an intelligent terminal for dynamically monitoring water and soil loss remote sensing, which comprises a memory, a processor and a program stored in the memory and capable of running on the processor, wherein the program can be loaded and executed by the processor to realize the multi-machine multi-source common-screen information cloud storage management method in the flows of fig. 1 to 4.
The embodiments of the present invention are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereby, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.

Claims (5)

1. A remote sensing dynamic monitoring method for water loss and soil erosion is characterized by comprising the following steps:
acquiring an original elevation map corresponding to a monitored area, wherein the original elevation map is the latest elevation map which can be acquired at the beginning;
acquiring weather change information, and judging whether the weather change information contains strong weather change information which can cause soil erosion;
if yes, obtaining and feeding back the current elevation map information;
the method further comprises the following steps:
comparing the current elevation map information with the original elevation map information to obtain elevation map change information;
analyzing and feeding back elevation map change information;
the elevation map change information comprises elevation fall information; the specific steps of analyzing and feeding back the elevation map change information are as follows:
analyzing altitude drop information, and dividing the altitude drop information into a plurality of different altitude change levels according to the size of the altitude drop information;
presetting risk prompt information corresponding to the altitude change grades one by one; the risk prompt information is a color block with the same shape as the contour of the altitude change position information, and the colors of the risk prompt information corresponding to different altitude change levels are different;
outputting risk prompt information corresponding to the altitude drop information to a position corresponding to the altitude drop information in the current altitude information map;
the method for comparing the current elevation map information with the original elevation map information to acquire elevation map change information comprises the following steps:
matching the current elevation map with the original elevation map; the matching method comprises the steps of overlapping an original elevation map and a current elevation map, and the specific method comprises the steps of obtaining coordinates of a plurality of boundary points of the current elevation map, wherein the coordinates of the boundary points are more than or equal to three, finding a plurality of points corresponding to the coordinates of the boundary points on the original elevation map, enabling the boundary points of the current elevation map to correspond to the plurality of points in the original elevation map one by one, and adjusting the size ratio of the current elevation map to enable the points in the current elevation map to correspond to and overlap the original elevation map one by one;
judging whether the contour lines in the current elevation map are overlapped with the contour lines in the original elevation map or not;
if not, acquiring altitude change position information corresponding to an area surrounded by the contour lines in the current elevation map which is not overlapped and the contour lines in the original elevation map;
acquiring current altitude information corresponding to the altitude change position information in a current elevation map;
acquiring original altitude information corresponding to altitude change position information in an original elevation map;
obtaining altitude fall information by utilizing the difference between the current altitude information and the original altitude information;
feeding back elevation difference information and elevation change position information corresponding to the elevation difference information as elevation map change information;
acquiring the change information of a previous elevation map of an area covered by a current elevation map; analyzing the water and soil structure change frequency of the area according to the elevation change information;
analyzing the change information of the previous elevation map to acquire the position information of active altitude change;
feeding back preset altitude active change warning information to a position corresponding to altitude active change position information in a current elevation map; the preset active elevation change warning information is characters, symbols, images or a combination thereof which are used for being displayed in the current elevation map and used for representing warning.
2. The method of claim 1, wherein analyzing the past elevation map change information to obtain location information of active changes in altitude comprises:
analyzing the elevation map change information to acquire elevation change position information with elevation change;
taking a coordinate corresponding to the altitude change position information as the center of a preset judgment area;
presetting a judging period for judging whether the altitude change is active or not;
acquiring the quantity of elevation map change information appearing in a judgment area during a judgment period;
judging whether the quantity of the elevation map change information is larger than a preset warning threshold value or not;
and taking the altitude change position information corresponding to the center of the judgment area as the altitude active change position information.
3. The method according to claim 2, wherein the determination area includes a plurality of determination areas, and the plurality of determination areas include position information centered on the same altitude change.
4. An intelligent remote sensing dynamic monitoring terminal for water loss and soil erosion, which comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and execute the method as claimed in any one of claims 1 to 3.
5. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 3.
CN202011102555.9A 2020-10-15 2020-10-15 Water and soil loss remote sensing dynamic monitoring method, intelligent terminal and storage medium Active CN112254703B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011102555.9A CN112254703B (en) 2020-10-15 2020-10-15 Water and soil loss remote sensing dynamic monitoring method, intelligent terminal and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011102555.9A CN112254703B (en) 2020-10-15 2020-10-15 Water and soil loss remote sensing dynamic monitoring method, intelligent terminal and storage medium

Publications (2)

Publication Number Publication Date
CN112254703A CN112254703A (en) 2021-01-22
CN112254703B true CN112254703B (en) 2022-11-04

Family

ID=74243280

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011102555.9A Active CN112254703B (en) 2020-10-15 2020-10-15 Water and soil loss remote sensing dynamic monitoring method, intelligent terminal and storage medium

Country Status (1)

Country Link
CN (1) CN112254703B (en)

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103235845B (en) * 2012-12-18 2015-09-23 交通运输部科学研究院 A kind of method for carrying out soil loss monitoring in construction of the highway
CN106645650A (en) * 2017-02-20 2017-05-10 长沙市玖车测控技术有限公司 Water and soil loss monitoring and early warning system with forecast function
CN110567510B (en) * 2019-07-23 2023-09-19 北京英视睿达科技股份有限公司 Atmospheric pollution monitoring method, system, computer equipment and storage medium

Also Published As

Publication number Publication date
CN112254703A (en) 2021-01-22

Similar Documents

Publication Publication Date Title
CN108960599B (en) Power transmission line rainstorm disaster refined prediction method and system based on inversion algorithm
KR101219506B1 (en) Monitoring system and Method for rainfall and water level in dam
CN111507375B (en) Urban waterlogging risk rapid assessment method and system
van Meerveld et al. Information content of stream level class data for hydrological model calibration
WO2021129680A1 (en) Snowmelt flood prediction method and apparatus, electronic device, and storage medium
CN110646867A (en) Urban drainage monitoring and early warning method and system
Schöber et al. Snow cover characteristics in a glacierized catchment in the Tyrolean Alps-Improved spatially distributed modelling by usage of Lidar data
Yang Digital mapping of RUSLE slope length and steepness factor across New South Wales, Australia
CN112308292A (en) Method for drawing fire risk grade distribution map
CN105891833A (en) Method of identifying warm cloud precipitation rate based on Doppler radar information
CN109186706A (en) A method of for the early warning of Urban Storm Flood flooding area
CN106485360A (en) Segmental society's prediction of economic indexes method and system based on overall noctilucence remote sensing
Helbig et al. Forecasting wet-snow avalanche probability in mountainous terrain
CN115423272B (en) Flood risk assessment method and system integrating historical flooding strength
Herrero et al. Snow evolution in Sierra Nevada (Spain) from an energy balance model validated with Landsat TM data
CN116307691A (en) Risk assessment method and device for hydrologic disaster condition and electronic equipment
CN117593657A (en) Method and system for processing refined weather forecast data and readable storage medium
JP2006004212A (en) Program for making computer execute estimation method of damage by flood disaster and information presentation method
CN116758707B (en) Geological disaster monitoring system and method based on big data
CN112254703B (en) Water and soil loss remote sensing dynamic monitoring method, intelligent terminal and storage medium
CN112380228B (en) Digital mine dynamic modeling monitoring method and system, intelligent terminal and storage medium
CN110441830B (en) Small-area weather prediction method based on automatic weather station and storage medium
Keller et al. CEH-GEAR: 1 km resolution daily and monthly areal rainfall estimates for the UK for hydrological use
CN115271332A (en) Drought monitoring method
Brema et al. Estimation of the soil erosion in cauvery watershed (Tamil Nadu and Karnataka) using USLE

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant