Daily supervision system for flood storage and detention areas based on remote sensing images

Abstract

The invention is suitable for the technical field of flood storage and detention area management, and particularly relates to a flood storage and detention area daily supervision system based on remote sensing images, and the system comprises a newly-added non-flood-control construction project supervision module which is used for the recognition of newly-added non-flood-control construction projects; the flood season water regimen monitoring module is used for extracting a water distribution range, assigning water attribute information and extracting submerging information; the disaster situation evaluation module is used for evaluating the disaster situation after the disaster; the task issuing and pushing module is used for processing illegal pattern spots and issuing and pushing checking tasks; the field checking App is used for receiving a task for performing field checking; and the data management module is used for managing, uploading and downloading various data. On one hand, the efficiency of discovering abnormal items is improved, on the other hand, data are inquired and stored according to known information such as the vector range, the data storage mode is standardized, and effective management of a large amount of image data is facilitated.

Description

Technical Field

[0001] The invention belongs to the technical field of flood storage and detention area management, and in particular relates to a daily monitoring system for flood storage and detention areas based on remote sensing images. Background Art

[0002] Flood storage and detention areas bear the dual functions of regional flood control and the survival and development of residents in the area. They have played an important role in the prevention of flood disasters in the basin and ensured the safety of important cities and important flood control areas in the middle and lower reaches of the river. At present, there are 98 national flood storage and detention areas listed in the Revised List of National Flood Storage and Detention Areas. In the early days of the establishment of flood storage and detention areas, most of the areas were sparsely populated and economic development was relatively backward. The losses caused by flood diversion were relatively small, and the flood storage and detention areas were put into use relatively smoothly. However, with the development of the economy and society, the population has continued to increase, natural lakes and depressions have gradually been occupied, and the degree of land development and utilization in flood storage and detention areas has continued to increase, resulting in the contradiction between flood storage in flood storage and detention areas and the safety of life and property of residents in the area and economic development. The difficulty of decision-making in the use of flood storage and detention areas has continued to increase. In this context, it is particularly important to strengthen the supervision capacity of flood storage and detention areas.

[0003] At present, the supervision of flood storage and detention areas mainly includes the supervision of non-flood control construction projects, water situation monitoring of flood storage and detention areas during the flood season, and compensation for the use of flood storage and detention areas after disasters. In terms of the supervision of non-flood control construction projects, the approval process is mainly for the construction unit to submit a flood assessment application, the local water affairs bureau to conduct a flood assessment review, the local government to review and submit it to the basin committee, the basin committee to approve it, and issue a license to those who meet the conditions, and conduct regular on-site inspections of non-flood control construction projects; in terms of water situation monitoring of flood storage and detention areas during the flood season, water situation information is mainly obtained through the monitoring data of the hydrological station; in terms of compensation for the use of flood storage and detention areas after disasters, the main thing is for managers to conduct on-site investigations and combine relevant social and economic data to formulate compensation plans. It can be seen that the current supervision methods are mainly manual inspections and manual reporting. The inspection tasks are heavy, and there are problems such as incomplete supervision scope, untimely information discovery, and lack of circulation of supervision information at all levels. Summary of the invention

[0004] The purpose of the present invention is to provide a daily supervision system for flood storage areas based on remote sensing images, aiming to solve the problems of incomplete supervision scope, untimely information discovery and non-circulation of supervision information among departments at all levels in the existing manual inspection method.

[0005] The present invention is implemented as follows: a daily monitoring system for flood storage and detention areas based on remote sensing images, the system comprising:

[0006] A new non-flood control construction project supervision module has been added, which is used for the identification of new non-flood control construction projects, automatic assignment of map attributes of new non-flood control construction projects, supervision and manual approval of new non-flood control construction projects;

[0007] The flood season water regime monitoring module is used to extract the water distribution range of multi-period flood storage area images, assign values ​​to water body attribute information, and extract flooding information;

[0008] Disaster assessment module, used to assess the disaster situation after the disaster;

[0009] The task issuing and pushing module is used to take screenshots of illegal spots, generate reports, download reports, and issue and push verification tasks;

[0010] Field verification app, used to receive tasks for field verification;

[0011] Data management module, used for management, upload and download of various types of data.

[0012] Preferably, during the supervision and manual approval of newly added non-flood control construction projects, the corresponding flood assessment report file is searched according to the location information, and the supervision type of the newly added non-flood control construction project spots is judged by comparing the map monitoring period of the newly added non-flood control construction project spots with the project construction time in the flood assessment report and the project map area with the approved construction area in the flood assessment report. The supervision types include compliance, construction without approval, and inconsistent construction. The judgment rule for the construction without approval category is map monitoring period < project start time, and the judgment rule for the inconsistent construction category is map area > approved construction area.

[0013] Preferably, in the process of extracting the water distribution range of multi-period flood storage and detention area images, assigning water body attribute information, and extracting inundation information, satellite remote sensing images of the flood storage and detention areas to be supervised are obtained on a land observation satellite service platform at a monthly frequency, and the monitoring frequency is encrypted as needed according to meteorological forecast information to obtain radar images and optical images of the flood storage and detention areas, and data preprocessing, geographic alignment, image cropping, threshold segmentation and water body extraction are performed on the radar images of each period, and geometric correction, image fusion, image cropping, threshold segmentation and water body extraction are performed on the optical images, and water body vector files are sorted, the water body vector files include name and area attribute information, and the water body distribution of rivers and reservoirs in the flood storage and detention areas during the flood season is obtained.

[0014] Preferably, the process of assessing the disaster situation after a disaster includes collecting basic data packages, which include basic geographic data, rainfall and water conditions data, construction data, population, socio-economic and land use data, and organizing the monitoring results of the flood season water conditions monitoring module when a flood disaster occurs, to obtain the flood inundation range and inundation duration data, and to process the two sets of data. The processed data meet the requirements of the grid-based disaster assessment model, and the loss rates of different disaster-prone bodies are calculated; the disaster loss values ​​of different disaster-prone bodies are calculated based on the disaster assessment model; the administrative division data is combined to calculate the disaster losses in different administrative areas, generate disaster information reports, and perform visual displays.

[0015] Preferably, the process of assessing the post-disaster disaster situation also includes constructing a compensation ledger based on the post-disaster compensation plan combined with a land use distribution map, the ledger including household heads, compensation amounts and disaster situations.

[0016] Preferably, the task issuing and pushing module takes screenshots of the image spots in the newly added non-flood control construction project supervision module that have been built without approval or that do not comply with the approval, with the latitude and longitude coordinates as the center, and the image pixel size is 256×256, and the image spot attribute information and the corresponding screenshot are superimposed to generate a monitoring report on the suspected points of the illegal projects, which is pushed to the local water bureau management personnel's on-site verification App on the supervision platform via the Internet.

[0017] Preferably, the data management module is used to manage, upload and download basic geographic spatial data, remote sensing monitoring data, business management data, thematic data and socio-economic data.

[0018] Preferably, the daily monitoring system for flood storage areas based on remote sensing images also includes a data cockpit module for visually displaying and managing data.

[0019] Preferably, non-flood control construction projects include roads and railways, natural gas pipelines, water supply pipeline projects, power transmission line projects, old village renovation projects, wind power, photovoltaic projects, landfill projects, industrial and mining enterprise projects and residential projects.

[0020] Preferably, the map spot file includes the map spot number, the flood storage area to which it belongs, the administrative area to which it belongs, the longitude and latitude coordinates, the monitoring period, the map spot area, the supervision type, whether it is processed, the construction status description and feedback.

[0021] The daily supervision system for flood storage areas based on remote sensing images provided by the present invention accurately determines the scope of the river and lake to be monitored area by integrating Internet public opinion and river and lake boundary demarcation and title confirmation lines, avoids the processing of too many invalid images, and reduces the work of misdetected targets in non-monitoring areas. On the one hand, it improves the efficiency of discovering abnormal items, and on the other hand, it queries and stores data according to known information such as vector range, standardizes the data storage method, and is conducive to the effective management of large amounts of image data. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A first architecture diagram of a daily monitoring system for flood storage and detention areas based on remote sensing images provided in an embodiment of the present invention;

[0023] Figure 2 A second architecture diagram of a daily monitoring system for flood storage and detention areas based on remote sensing images provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0025] It is understood that the terms "first", "second", etc. used in this application may be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, without departing from the scope of this application, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script.

[0026] (1) In the daily supervision of non-flood control construction projects, high-resolution remote sensing images of flood storage areas are obtained periodically on a quarterly basis, and artificial intelligence technology is used to detect changes in two phases of remote sensing images to obtain the distribution of new non-flood control construction projects, thus transforming traditional passive notification into active supervision;

[0027] (2) During the flood season, coordinate multi-source remote sensing data and obtain remote sensing images at the highest frequency. The data source is mainly radar satellite images. The threshold method is used to extract the distribution of water bodies within and around the flood storage area, and timely track water information;

[0028] (3) After the disaster, use geographic information systems combined with basic geographic information to conduct disaster assessments, calculate the losses after the use of flood storage and detention areas, and support the formulation of compensation plans;

[0029] (4) Construct a flood storage and detention area supervision platform, collect basic geographic data, remote sensing monitoring data, various business data, socio-economic data and other metadata, regularly publish remote sensing monitoring results, support managers to extract, count, query and modify information and perform other basic functions as well as daily approval and supervision functions for non-flood control construction projects, and form a set of "daily supervision, emergency response and post-disaster assessment" flood storage and detention area business application model.

[0030] like Figure 1 and Figure 2 As shown, a daily monitoring system for flood storage and detention areas based on remote sensing images provided by an embodiment of the present invention includes:

[0031] A new non-flood control construction project supervision module has been added, which is used to identify new non-flood control construction projects, automatically assign attributes to new non-flood control project areas, and supervise and manually approve new non-flood control construction projects.

[0032] In this system, the newly added non-flood control construction project supervision module is used for the intelligent identification of newly added non-flood control construction projects, automatic assignment of map attributes of newly added non-flood control construction projects, and intelligent supervision and manual approval of newly added non-flood control construction projects.

[0033] Newly added intelligent identification of non-flood control construction projects, support for change detection of remote sensing images from two different periods, and intelligent extraction of new non-flood control construction project patches;

[0034] The map attributes of newly added non-flood control construction projects are automatically assigned. The map attributes mainly include the map number, the flood storage area, the administrative area (accurate to the village level), longitude and latitude coordinates, monitoring period, map area, supervision type, whether it is handled, construction status description, feedback, etc.

[0035] For the intelligent supervision and manual approval of new non-flood control construction projects, the system automatically searches for relevant flood assessment report files based on location information, and determines the supervision type of the new non-flood control construction project spots by comparing the new non-flood control construction project spot monitoring cycle with the project construction time in the flood assessment report, and the project spot area with the approved construction area in the flood assessment report. The supervision types include compliance, construction without approval, and approval and construction not in compliance. The judgment rule for the category of construction without approval is "spot monitoring cycle < project start time", and the judgment rule for the category of approval and construction not in compliance is "spot area > approved construction area".

[0036] In this embodiment, multispectral remote sensing images are obtained on a land observation satellite service platform, and the vector range of the flood storage area to be supervised is used as the selection criterion. Satellite images covering the vector range are selected, and the image phase meets the quarterly frequency, that is, the same group of images is within the same quarter, and two sets of images are selected before and during the monitoring period respectively.

[0037] The acquired satellite images are subjected to geometric correction, image fusion and image cropping to produce digital orthophotos of the monitoring area before and during the monitoring period.

[0038] Intelligent interpretation combined with manual correction was used to detect changes in non-flood control construction projects in the two sets of digital orthophotos (non-flood control construction projects mainly include roads and railways, natural gas pipelines, water supply pipeline projects, power transmission line projects, old village renovation projects, wind power, photovoltaic projects, landfill projects, logistics companies and other industrial and mining enterprise projects, residential projects, etc.), and the newly added non-flood control construction project patches were obtained and sorted out.

[0039] The map spot file includes attribute information such as the map spot number, the flood storage area to which it belongs, the administrative region to which it belongs, the longitude and latitude coordinates, the monitoring period, the map spot area, the supervision type, whether it has been processed, the construction status description and feedback.

[0040] The managers of the river basin committee conduct professional interpretation of the maps of new non-flood control construction projects and handle them according to the three supervision types: compliance, construction without approval, and construction inconsistent with approval.

[0041] Users at all levels have the right to view the data of this unit, and relevant managers of the watershed committee have the right to edit this unit.

[0042] The flood season water regime monitoring module is used to extract the water distribution range of flood storage area images in multiple periods, assign values ​​to water body attribute information, and extract inundation information.

[0043] In this system, the flood season water regime monitoring module is used to automatically extract the water distribution range, assign water body attribute information and intelligently extract submergence information from multi-period flood storage and detention area images.

[0044] The automatic extraction of water body distribution range mainly uses the threshold method to extract water bodies from radar satellite images.

[0045] Assignment of water body attribute information. Water body attributes mainly include type (river, lake, pond, reservoir, other), name, and time.

[0046] Intelligent extraction of flooding information, including extraction of information on flooding area and flooding duration.

[0047] In July and August of each year, satellite remote sensing images of the flood storage and detention areas to be supervised are obtained on the land observation satellite service platform at a monthly frequency. According to the meteorological forecast information, the monitoring frequency is encrypted as needed, and the satellite image data source is coordinated to the greatest extent. Radar images and optical images of the flood storage and detention areas are obtained. Data preprocessing, geo-reference, image clipping, threshold segmentation and water body extraction are performed on the radar images of each cycle. Geometric correction, image fusion and image clipping, threshold segmentation and water body extraction are performed on the optical images. Water body vector files are sorted. The water body vector files mainly include attribute information such as name and area, and the water body distribution of important areas such as the main river channels and reservoirs in the flood storage and detention areas during the flood season is obtained. Users at all levels have the right to view the data of this unit, and the relevant managers of the basin committee have the right to edit.

[0048] The disaster assessment module is used to assess the disaster situation after the disaster.

[0049] In this system, the disaster assessment module combines basic geographic spatial data, socioeconomic data, land use data and other data with information such as flooded area and flooding duration into the pre-disaster assessment model, conducts disaster assessment online, and displays it visually to generate disaster reports.

[0050] The basic data required for the disaster assessment module include basic geographic data, rainfall and water data, construction data, population, socio-economic and land use data, etc. The monitoring results of the flood season water monitoring unit when flood disasters occur are sorted out to obtain data such as the flood inundation range and inundation duration. The two sets of data are roughly processed to meet the requirements of the grid-based disaster assessment model, and the loss rate of different disaster-prone bodies is calculated; the disaster loss value of different disaster-prone bodies is calculated based on the disaster assessment model; combined with administrative division data, the disaster losses in different administrative areas are calculated, and disaster reports are generated and visualized. For the compensation plan formulated after the disaster, a compensation ledger is established in combination with the land use distribution map. The ledger includes attribute information such as household head, compensation amount and disaster situation. Users at all levels have viewing rights to the data of this unit, and relevant managers of the basin committee have editing rights.

[0051] The task issuance and push module is used to take screenshots of illegal spots, generate reports, download reports, and issue and push verification tasks.

[0052] In this system, the task issuance and push module is used for intelligent screenshots of illegal spots, report generation, report downloading, and verification task issuance and push.

[0053] Smart screenshot: For the areas of construction that were built without approval or that were inconsistent with approval in the supervision units of non-flood control projects, smart screenshots will be taken with the longitude and latitude coordinates as the center and the image pixel size of 256×256.

[0054] Generate reports and download reports, overlay the map attribute information and corresponding screenshots, generate monitoring reports for suspected points of illegal projects, and support report downloads.

[0055] The verification task is issued and pushed, and the generated monitoring report is pushed to the on-site verification App of the local water bureau managers via the Internet on the supervision platform.

[0056] Field verification App, used to receive tasks for field verification.

[0057] In this system, relevant management personnel of local water bureaus conduct on-site verification of received tasks, including on-site verification to see whether construction has been carried out without approval or whether the approved construction is inconsistent, taking photos for evidence, precise coordinate positioning, etc. After on-site verification and confirmation, the corresponding map number, on-site photos, situation description and other information are sent to the supervision platform via a mobile phone APP (on-site verification App).

[0058] Data management module, used for management, upload and download of various types of data.

[0059] In this system, the data management module includes functions such as management, uploading and downloading of various types of data.

[0060] The data types include five categories: basic geographic spatial data, remote sensing monitoring data, business management data, thematic data, and socio-economic data.

[0061] Based on the supervision responsibilities and data needs of flood storage and detention areas at the Ministry of Water Resources level, river basin level and local management agencies at all levels, six categories of data resources, including basic geographic spatial data of flood storage and detention area construction projects, remote sensing monitoring data, business management data, thematic data, socio-economic data and other shared data, are constructed through collection, acquisition, production and attribute updating. A unified data resource hierarchical catalog compilation is formed to support the data database construction and data circulation content of the data management unit.

[0062] The basic geographic spatial data of flood storage and detention areas include basic data such as water system distribution maps, residential distribution maps and administrative divisions, which are stored in the basic information database according to data classification requirements; the remote sensing monitoring data of flood storage and detention areas include digital orthophoto maps, land use distribution maps, building distribution maps and new construction project distribution maps; the business data of flood storage and detention areas is mainly based on the daily management business needs of flood storage and detention areas, including on-site verification data of flood storage and detention and approval project information (including non-flood control construction project flood impact assessment report review application, flood impact assessment report, project construction based on Thematic data of flood storage and detention areas include vector range maps, safety facilities (including transfer roads, safety platforms, safety areas, village embankments, flood shelters, etc.), engineering facilities (sluice gates, hydrological stations, drainage stations, levees, and gates), flood inundation lines, evacuation facilities, and evacuation route maps, etc.; socio-economic data of flood storage and detention areas include population data of flood storage and detention areas (including existing population, emigrant population, fertility rate, etc.), agricultural data, economic data (GDP output value data, etc.), statistical yearbook data, property registration information, and loss assessment information, etc.

[0063] In a specific embodiment of the present invention, the specific process of the daily monitoring system of the flood storage area based on remote sensing images is as follows:

[0064] S1: Focusing on the supervision needs of flood storage and detention areas, in accordance with the working mode of daily non-flood control construction project supervision-flood season water emergency monitoring-post-disaster disaster assessment, remote sensing images are used to conduct periodic, long-term and wide-range refined supervision of flood storage and detention areas.

[0065] S2: In the daily supervision of non-flood control construction projects, high-resolution optical remote sensing images covering the flood storage and detention areas to be supervised are collected. The image phase meets the quarterly frequency, that is, the same group of images in the same quarter, two sets of remote sensing images are selected before and during the monitoring period respectively.

[0066] S3: Perform geometric correction, image fusion and image cropping on the acquired satellite remote sensing images to produce digital orthophotos of the monitoring area before and during the monitoring period.

[0067] S4: Use intelligent interpretation combined with manual correction to detect changes in non-flood control construction projects in the two sets of digital orthophotos, and obtain the distribution map of newly added non-flood control construction projects.

[0068] S5: Sort out and edit the attributes of the newly added non-flood control construction project spots. The attributes of the newly added non-flood control construction project spot distribution map include spot number, flood storage area, administrative district, longitude and latitude coordinates, monitoring period, spot area, supervision type, whether to deal with it, construction status description, feedback and other attribute information.

[0069] S6: Determine the supervision type of the newly added non-flood control construction project spots, which include compliance, construction without approval, and approval and construction not in compliance. The spots of the newly added non-flood control construction projects are associated with the corresponding flood assessment report files according to the location information. For the newly added non-flood control construction project spots without corresponding flood assessment report files, the supervision type is construction without approval; for the newly added non-flood control construction project spots with corresponding flood assessment report files, the supervision type of the newly added non-flood control construction project spots is determined by comparing the monitoring period of the newly added non-flood control construction project spots with the project construction time in the flood assessment report, and the project spot area with the approved construction area in the flood assessment report. The judgment rule for the type of construction without approval is "spot monitoring period < project start time", and the judgment rule for the type of approval and construction not in compliance is "spot area > approved construction area".

[0070] S7: The management personnel of the flood storage and detention areas shall send the illegal areas of non-flood control construction projects to the local verification personnel, and conduct on-site verification of the illegal areas of non-flood control construction projects.

[0071] S8: Local inspectors will feedback the results of the on-site inspection to the flood storage and detention area management personnel.

[0072] S9: At the end of each quarter, the flood storage and detention area management personnel will compile statistics on the new non-flood control construction projects in that quarter and generate reports.

[0073] S10: During the flood season, radar satellite images covering the flood storage areas to be supervised are collected, and the latest image phase shall prevail.

[0074] S11: Perform multi-view processing, filtering processing, geocoding and other operations on the radar satellite image, extract water bodies through the threshold method, and obtain a water body distribution map.

[0075] S12: Sort and edit the attributes of the water body distribution map. The attributes of the water body distribution map include type (river, lake, pond, reservoir, other), name and time.

[0076] S13: Performing a spatial analysis intersection inversion operation on the water body distribution map and the flood storage and detention area water system distribution map to obtain a flood range distribution map.

[0077] S14: Arrange and edit the attributes of the flood range distribution map. The attributes of the flood range distribution map include the flooded area and flooding duration.

[0078] S15: Input basic geographic spatial data, socio-economic data, land use data and other data into the pre-disaster assessment model in combination with information such as inundation area and inundation duration, conduct disaster assessment and generate disaster report.

[0079] S16: A flood storage and detention area supervision platform system based on remote sensing images, including a basic layer, a data layer, a support layer, a service layer, an application layer, a standard specification system and a network security system.

[0080] S17: Basic layer, based on making full use of existing platform resources, corresponding equipment is added to meet the operating requirements of the platform system in the present invention for server, network, storage, computing and other conditions.

[0081] S18: Data layer, data types include five categories: basic geographic spatial data, remote sensing monitoring data, business management data, thematic data and socio-economic data.

[0082] S19: Support layer, providing underlying support for the service functions of the application module.

[0083] S20: Service layer, which provides a variety of business services to the application layer in the form of services, including a map service of flood storage and detention areas, data management services, data collection services, data transmission services and non-flood control project management services.

[0084] S21: Application layer, including data cockpit, remote sensing supervision, flood assessment business, data management and mobile APP, for three levels of users: Ministry of Water Resources, River Basin Committee and local management agencies.

[0085] The present invention accurately determines the scope of the river and lake to be monitored area by integrating information such as Internet public opinion and public reports, as well as the scope lines of river and lake demarcation and title confirmation, thereby avoiding the processing of too many invalid images and reducing the work of checking misdetected targets in non-monitoring areas. On the one hand, the efficiency of discovering sand mining phenomena is improved, and on the other hand, data is queried and stored according to known information such as vector range, standardizing the data storage method, which is conducive to the effective management of large amounts of image data.

[0086] The present invention labels the sand mining phenomena in six rivers and produces a standard data set. The sand mining phenomena in the data set include various sand mining elements such as sand mining pits, sand mining piles and sand mining equipment. It has wide applicability and selects a neural network training model suitable for sand mining phenomenon identification. The sand mining phenomenon identification and detection is comprehensive with a low missed detection rate.

[0087] The present invention adopts a divide-and-conquer method to perform block integration on the sand mining phenomenon identification results, and merges the block patches of the same sand mining field to form a patch, so that the detection range is more accurate and the detected number of sand mining phenomena is closer to the actual number.

[0088] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0089] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0090] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0091] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0092] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A daily monitoring system for flood storage areas based on remote sensing images. It is characterized in that The system comprises: A new non-flood control construction project supervision module has been added, which is used for the identification of new non-flood control construction projects, automatic assignment of map attributes of new non-flood control construction projects, supervision and manual approval of new non-flood control construction projects; The flood season water regime monitoring module is used to extract the water distribution range of multi-period flood storage area images, assign values ​​to water body attribute information, and extract flooding information; Disaster assessment module, used to assess the disaster situation after the disaster; The task issuing and pushing module is used to take screenshots of illegal spots, generate reports, download reports, and issue and push verification tasks; Field verification app, used to receive tasks for field verification; Data management module, used for management, upload and download of various types of data.

2. According to claim 1, the daily monitoring system for flood storage and detention areas based on remote sensing images, It is characterized in that During the supervision and manual approval of new non-flood control construction projects, the corresponding flood assessment report files are searched according to the location information. The supervision type of the new non-flood control construction project spots is determined by comparing the monitoring period of the new non-flood control construction project spots with the project construction time in the flood assessment report, as well as the project spot area with the approved construction area in the flood assessment report. The supervision types include compliance, construction without approval, and inconsistent construction. The judgment rule for the construction without approval category is spot monitoring period < project start time, and the judgment rule for the inconsistent construction category is spot area > approved construction area.

3. The daily monitoring system for flood storage and detention areas based on remote sensing images according to claim 1, It is characterized in that In the process of extracting the water distribution range of multi-period flood storage and detention area images, assigning water body attribute information, and extracting inundation information, satellite remote sensing images of the flood storage and detention areas to be supervised are obtained on the land observation satellite service platform at a monthly frequency, and the monitoring frequency is encrypted as needed according to meteorological forecast information to obtain radar images and optical images of the flood storage and detention areas. Data preprocessing, geographic registration, image cropping, threshold segmentation and water body extraction are performed on the radar images of each period, and geometric correction, image fusion, image cropping, threshold segmentation and water body extraction are performed on the optical images. The water body vector files are sorted. The water body vector files include name and area attribute information, and the water body distribution of rivers and reservoirs in the flood storage and detention areas during the flood season is obtained.

4. The daily monitoring system for flood storage and detention areas based on remote sensing images according to claim 1, It is characterized in that The process of assessing the post-disaster disaster situation includes collecting basic data packages, which include basic geographic data, rainfall and water conditions data, construction data, population, socio-economic and land use data, sorting out the monitoring results of the flood season water conditions monitoring module when flood disasters occur, obtaining the flood inundation range and inundation duration data, and processing the two sets of data. The processed data meet the requirements of the grid-based disaster assessment model, and calculate the loss rate of different disaster-prone bodies; calculate the disaster loss value of different disaster-prone bodies based on the disaster assessment model; combine the administrative division data to calculate the disaster losses in different administrative areas, generate disaster reports, and display them visually.

5. The daily monitoring system for flood storage and detention areas based on remote sensing images according to claim 4, It is characterized in that The process of assessing the post-disaster situation also includes building a compensation ledger based on the compensation plan formulated after the disaster and the land use distribution map. The ledger includes the household head, compensation amount and disaster situation.

6. The daily monitoring system for flood storage and detention areas based on remote sensing images according to claim 1, It is characterized in that The task issuance and push module takes screenshots of the areas of construction that have been built without approval or that do not comply with approval in the new non-flood control construction project supervision module, with the latitude and longitude coordinates as the center and the image pixel size of 256×256, and superimposes the area attribute information and the corresponding screenshot to generate a monitoring report on the suspected points of the illegal projects, which is pushed to the local water bureau managers' on-site verification App via the supervision platform via the Internet.

7. The daily monitoring system for flood storage and detention areas based on remote sensing images according to claim 1, It is characterized in that The data management module is used to manage, upload and download basic geographic spatial data, remote sensing monitoring data, business management data, thematic data and socio-economic data.

8. The daily monitoring system for flood storage and detention areas based on remote sensing images according to claim 1, It is characterized in that The daily supervision system of flood storage areas based on remote sensing images also includes a data cockpit module for visual display and management of data.

9. The daily monitoring system for flood storage and detention areas based on remote sensing images according to claim 1, It is characterized in that Non-flood control construction projects include roads and railways, natural gas pipelines, water supply pipeline projects, power transmission line projects, old village renovation projects, wind power, photovoltaic projects, landfill projects, industrial and mining enterprise projects and residential projects.

10. The daily monitoring system for flood storage and detention areas based on remote sensing images according to claim 1, It is characterized in that The map spot file includes the map spot number, the flood storage area to which it belongs, the administrative region to which it belongs, the longitude and latitude coordinates, the monitoring period, the map spot area, the supervision type, whether it has been processed, the construction status description and feedback.

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