CN112508328A - Natural conservation place ecological quality monitoring system and method - Google Patents
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Abstract
The invention relates to a system and a method for monitoring ecological quality of a natural conservation place. The method for monitoring the ecological quality of the natural protection land comprises the steps of instantly obtaining a high-altitude overhead image of the natural protection land to be monitored, analyzing the high-altitude overhead image to obtain numerical information of the image, calculating the numerical information of the image and reference numerical information to obtain a variable quantity, and selecting a corresponding control strategy based on preset conditions; the numerical information comprises color distribution numerical values and color brightness numerical values, and the variation comprises variation of the color distribution numerical values and variation of the color brightness numerical values in the image; the preset conditions are as follows: when any variable quantity of the color distribution numerical value and the variable quantity of the color brightness numerical value is larger than or equal to a set value, a first control strategy is adopted; when the variation of the color distribution value and the variation of the color brightness value are both smaller than a set value; the method for monitoring the ecological quality of the natural conservation place has the advantages of low implementation cost, simple structure, higher accuracy of monitoring information and convenience for popularization and use.
Description
Technical Field
The invention belongs to the technical field of ecological quality monitoring, and particularly relates to a system and a method for monitoring ecological quality of a natural conservation place.
Background
The natural protection land is in the first place in maintaining national ecological safety, the ecological quality problem of the natural protection land is also the focus of attention in national ecological safety, the ecological quality of the natural protection land comprises the vegetation coverage condition, the running condition of an ecological system and the distribution quantity condition of wild animals and plants, wherein the ecological quality monitoring of the natural protection land generally takes the ecological environment as the first place.
Disclosure of Invention
The invention aims to solve the problems and provide a natural conservation ecological quality monitoring system and method which are simple in structure and reasonable in design.
The invention realizes the purpose through the following technical scheme:
a nature-protected ecological quality monitoring method comprises the following steps:
the method comprises the steps of obtaining a high-altitude overlook image of a natural protected area to be monitored in real time, analyzing to obtain numerical information of the image, calculating with reference numerical information to obtain a variation, and selecting a corresponding control strategy based on a preset condition;
the numerical information comprises color distribution numerical values and color brightness numerical values, and the variation comprises variation of the color distribution numerical values and variation of the color brightness numerical values in the image;
the preset conditions are as follows: when any variable quantity of the color distribution numerical value and the variable quantity of the color brightness numerical value is larger than or equal to a set value, a first control strategy is adopted;
when the variation of the color distribution numerical value and the variation of the color brightness numerical value are both smaller than a set value, a second control strategy is adopted;
a first management and control strategy: informing the supervisor of information confirmation in real time and outputting variable quantity information at the same time;
and a second management and control strategy: and calculating an average value record based on the numerical information in the new image and the reference numerical information, informing a supervisor to confirm the information after a set time, and outputting the variable quantity information.
As a further optimization scheme of the invention, before the instant high-altitude image of the natural protection place is obtained, a preset database is established, reference numerical value information of each time period of the natural protection place is stored in the preset database, and the reference numerical value information is initial numerical value information for performing change judgment on the natural protection place.
As a further optimization scheme of the invention, the method for acquiring the high-altitude overhead view image of the natural protected area is a satellite remote sensing measurement method or an unmanned aerial vehicle high-altitude shooting method.
As a further optimization scheme of the invention, the acquired high-altitude overhead view image of the natural protection ground to be monitored is a picture of each region of the natural protection ground, wherein the natural protection ground to be monitored is divided into a plurality of regions through a plurality of groups of positioning columns.
As a further optimization scheme of the present invention, the color distribution value is calculated based on a region position in the acquired image, wherein the region position in the image is identified and determined by the positioning column.
A nature-protected ecological quality monitoring system, comprising:
the acquisition module is configured to acquire high-altitude overhead images for monitoring the natural protected area and transmit image information to the processing module;
the processing module is configured to receive and store the image information input by the acquisition module, analyze the image information to obtain numerical value information in the image, compare and judge the numerical value information with reference numerical value information, and select a corresponding management and control strategy based on a preset condition;
and the output module is configured to call the information in the processing module based on different management and control strategies and output the information to the terminal.
The system also includes a reference module configured to store the initial image and its corresponding reference numerical information; after the processing module receives the acquisition information of the acquisition module, reference numerical value information in the reference module is called;
as a further optimization scheme of the present invention, the system further includes an input module configured to send an instruction signal to the processing module, and the processing module outputs corresponding information to be stored in the reference module based on the instruction signal, wherein when the instruction signal is a confirmation instruction based on the first management and control policy, the processing module stores a new image and numerical information in the reference module, and the numerical information is used as next reference numerical information;
when the instruction signal is a determination instruction based on a second management and control strategy, the processing module stores a new image in the reference module to be used as an initial image, calculates an average value of the reference numerical value information and the numerical value information of the image, and covers the reference numerical value information for use;
when the instruction signal is a review instruction based on a first control strategy or a second control strategy, the processing module outputs a corresponding signal to the output module, and the output module calls initial image information and new image information in the reference module and outputs the initial image information and the new image information to the terminal;
when the instruction signal is a cancel instruction based on the first control strategy or the second control strategy, the processing module deletes the image information and the numerical value information acquired at this time.
As a further optimization scheme of the invention, the acquisition module comprises a satellite remote sensing measurement module and an unmanned aerial vehicle high-altitude camera module.
As a further optimization of the invention, the processing module comprises an image recognition processing unit which recognizes the area in the image based on the positioning posts.
As a further optimization scheme of the invention, the image recognition processing unit recognizes and converts the color distribution and the brightness distribution in the image into numerical information.
The invention has the beneficial effects that: the invention can improve the accuracy of monitoring and comparing, adjust the basic data value year by year, know the change of ecological environment, and adjust the influence of human factors on ecological environment according to the monitoring result.
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Fig. 1 is a schematic view of the overall structure of the present invention.
Detailed Description
The present application will now be described in further detail with reference to the drawings, it should be noted that the following detailed description is given for illustrative purposes only and is not to be construed as limiting the scope of the present application, as those skilled in the art will be able to make numerous insubstantial modifications and adaptations to the present application based on the above disclosure.
Example 1
As shown in fig. 1, a method for monitoring ecological quality of a natural conservation place includes:
the method comprises the steps of obtaining a high-altitude overlook image of a natural protected area to be monitored in real time, analyzing to obtain numerical information of the image, calculating with reference numerical information to obtain a variation, and selecting a corresponding control strategy based on a preset condition;
the numerical information comprises color distribution numerical values and color brightness numerical values, and the variation comprises variation of the color distribution numerical values and variation of the color brightness numerical values in the image;
the preset conditions are as follows: when any variable quantity of the color distribution numerical value and the variable quantity of the color brightness numerical value is larger than or equal to a set value, a first control strategy is adopted;
when the variation of the color distribution numerical value and the variation of the color brightness numerical value are both smaller than a set value, a second control strategy is adopted;
a first management and control strategy: informing the supervisor of information confirmation in real time and outputting variable quantity information at the same time;
and a second management and control strategy: and calculating an average value record based on the numerical information in the new image and the reference numerical information, informing a supervisor to confirm the information after a set time, and outputting the variable quantity information.
The above-mentioned variation information is a set of report descriptions about the variation, in which the original image and the currently acquired image are extracted, and the original (initial) numerical information and the currently acquired numerical information are recorded, and the judgment scene based on the numerical information is made.
Before acquiring an instant high-altitude image of the natural protection place, a preset database is established, reference numerical value information of each time period of the natural protection place is stored in the preset database, and the reference numerical value information is initial numerical value information of the natural protection place for change judgment.
Specifically, the reference numerical information in the preset database is the reference numerical information of the time period of the natural protected area, because the vegetation conditions in the natural protected area are different due to different seasons, in this embodiment, a year is divided into four quarters, and each quarter obtains at least three high-altitude overhead images of the natural protected area; in this embodiment, each quarter is three months, and the high-altitude overhead patterns of the areas of the natural protected area are collected in each month.
The method for acquiring the high-altitude overlook image of the natural protected area is a satellite remote sensing measurement method or an unmanned aerial vehicle high-altitude shooting method.
It should be noted that, no matter a satellite remote sensing measurement method or an unmanned aerial vehicle high-altitude shooting method is adopted, the image pixels obtained each time should be within a reasonable error range, specifically, if the satellite remote sensing measurement method is adopted, the position condition of the unmanned aerial vehicle during image acquisition should be ensured, if the unmanned aerial vehicle high-altitude shooting method is adopted, the shooting route and the shooting position of the unmanned aerial vehicle should be planned, and the acquired images are ensured not to be greatly influenced.
The acquired high-altitude overhead view images of the natural protection ground to be monitored are pictures of all areas of the natural protection ground, wherein the natural protection ground to be monitored is divided into a plurality of areas through a plurality of groups of positioning columns.
And the color distribution numerical value is measured and calculated based on the region position in the collected image, wherein the region position in the image is identified and judged through the positioning column.
The positioning column can be a cement column, can also be a decorative tree with the surface disguised as a normal tree, and the top end of the positioning column is provided with a pattern which can be distinguished as surrounding colors.
Specifically, the position condition of the region can be adjusted by using the positioning column feature, and the color distribution of the region is recorded based on the position condition, wherein the color brightness can be obtained by calculating the image after gray processing.
A nature-protected ecological quality monitoring system, comprising:
the acquisition module is configured to acquire high-altitude overhead images for monitoring the natural protected area and transmit image information to the processing module;
the processing module is configured to receive and store the image information input by the acquisition module, analyze the image information to obtain numerical value information in the image, compare and judge the numerical value information with reference numerical value information, and select a corresponding management and control strategy based on a preset condition;
and the output module is configured to call the information in the processing module based on different management and control strategies and output the information to the terminal.
The system also includes a reference module configured to store the initial image and its corresponding reference numerical information; after the processing module receives the acquisition information of the acquisition module, reference numerical value information in the reference module is called;
the system also comprises an input module, a processing module and a reference module, wherein the input module is configured to send an instruction signal to the processing module, the processing module outputs corresponding information to be stored in the reference module based on the instruction signal, and when the instruction signal is a confirmation instruction based on a first management and control strategy, the processing module stores a new image and numerical information in the reference module, and the numerical information is used as next reference numerical information;
the first control strategy is measurement under emergency, the image acquisition can be actively carried out by monitoring personnel, or can be regular monitoring originally preset in the natural protection land, when the variation of numerical information in the acquired image is found to be larger than a preset value, the vegetation condition in the natural protection land is proved to have larger variation, the variation can be artificial variation or natural environment variation, the artificial variation can be caused by illegal behaviors such as cutting down and the like, or can be normal vegetation position adjustment by maintenance personnel, the natural environment variation can be natural disaster condition, no matter what kind, the monitoring personnel need to be informed to know, after the monitoring personnel know the information on a terminal, the field check can be carried out, if the variation is real, a confirmation instruction is sent out, and a new image is used as an initial image for later comparison through confirmation instruction information, the numerical information of the new image is used as the new reference numerical information, but the previous initial image is not deleted and still kept in the system to be used as the data information called by the later person.
When the instruction signal is a determination instruction based on a second management and control strategy, the processing module stores a new image in the reference module to be used as an initial image, calculates an average value of the reference numerical value information and the numerical value information of the image, and covers the reference numerical value information for use;
the second control strategy is relatively urgent, generally routine monitoring is performed, and the vegetation condition in the natural protected area is not obviously changed, at this time, the monitoring personnel is notified within a set time period, after the monitoring personnel checks and determines, a new image is used as a subsequent initial image, the numerical information corresponding to the new image and the original reference numerical information are taken out, an average value covers the reference numerical information to become new reference numerical information, and the new reference numerical information is used in comparison of image acquisition in the subsequent time period.
When the instruction signal is a review instruction based on a first control strategy or a second control strategy, the processing module outputs a corresponding signal to the output module, and the output module calls initial image information and new image information in the reference module and outputs the initial image information and the new image information to the terminal;
the review instruction is generally used for manual review when birds or other interference occurs in image shooting.
When the instruction signal is a cancel instruction based on the first control strategy or the second control strategy, the processing module deletes the image information and the numerical value information acquired at this time.
The cancel instruction is to cancel the image acquisition and data calculation when the image acquisition is wrong.
The acquisition module comprises a satellite remote sensing measurement module and an unmanned aerial vehicle high-altitude camera module.
The processing module comprises an image recognition processing unit which recognizes the area in the image based on the positioning column.
The image identification processing unit identifies and converts the color distribution condition and the brightness distribution condition in the image into numerical information.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (10)
1. A nature-protected land ecological quality monitoring method is characterized by comprising the following steps:
the method comprises the steps of obtaining a high-altitude overlook image of a natural protected area to be monitored in real time, analyzing to obtain numerical information of the image, calculating with reference numerical information to obtain a variation, and selecting a corresponding control strategy based on a preset condition;
the numerical information comprises color distribution numerical values and color brightness numerical values, and the variation comprises variation of the color distribution numerical values and variation of the color brightness numerical values in the image;
the preset conditions are as follows: when any variable quantity of the color distribution numerical value and the variable quantity of the color brightness numerical value is larger than or equal to a set value, a first control strategy is adopted;
when the variation of the color distribution numerical value and the variation of the color brightness numerical value are both smaller than a set value, a second control strategy is adopted;
a first management and control strategy: informing the supervisor of information confirmation in real time and outputting variable quantity information at the same time;
and a second management and control strategy: and calculating an average value record based on the numerical information in the new image and the reference numerical information, informing a supervisor to confirm the information after a set time, and outputting the variable quantity information.
2. The ecological quality monitoring method for the natural conservation place according to claim 1, characterized in that: before acquiring an instant high-altitude image of the natural protection place, a preset database is established, reference numerical value information of each time period of the natural protection place is stored in the preset database, and the reference numerical value information is initial numerical value information of the natural protection place for change judgment.
3. The ecological quality monitoring method for natural conservation, according to claim 2, characterized in that: the method for acquiring the high-altitude overlook image of the natural protected area is a satellite remote sensing measurement method or an unmanned aerial vehicle high-altitude shooting method.
4. A method for monitoring the ecological quality of a natural conservation site according to claim 3, wherein: the acquired high-altitude overhead view images of the natural protection ground to be monitored are pictures of all areas of the natural protection ground, wherein the natural protection ground to be monitored is divided into a plurality of areas through a plurality of groups of positioning columns.
5. The method for monitoring ecological quality of a natural conservation place, according to claim 4, is characterized in that: and the color distribution numerical value is measured and calculated based on the region position in the collected image, wherein the region position in the image is identified and judged through the positioning column.
6. A nature conservation place ecological quality monitored control system which characterized in that: the method comprises the following steps:
the acquisition module is configured to acquire high-altitude overhead images for monitoring the natural protected area and transmit image information to the processing module;
the processing module is configured to receive and store the image information input by the acquisition module, analyze the image information to obtain numerical value information in the image, compare and judge the numerical value information with reference numerical value information, and select a corresponding management and control strategy based on a preset condition;
and the output module is configured to call the information in the processing module based on different management and control strategies and output the information to the terminal.
7. The system for monitoring ecological quality of a natural conservation place according to claim 6, wherein: the system also includes a reference module configured to store the initial image and its corresponding reference numerical information; after the processing module receives the acquisition information of the acquisition module, reference numerical value information in the reference module is called;
the system also comprises an input module, a processing module and a reference module, wherein the input module is configured to send an instruction signal to the processing module, the processing module outputs corresponding information to be stored in the reference module based on the instruction signal, and when the instruction signal is a confirmation instruction based on a first management and control strategy, the processing module stores a new image and numerical information in the reference module, and the numerical information is used as next reference numerical information;
when the instruction signal is a determination instruction based on a second management and control strategy, the processing module stores a new image in the reference module to be used as an initial image, calculates an average value of the reference numerical value information and the numerical value information of the image, and covers the reference numerical value information for use;
when the instruction signal is a review instruction based on a first control strategy or a second control strategy, the processing module outputs a corresponding signal to the output module, and the output module calls initial image information and new image information in the reference module and outputs the initial image information and the new image information to the terminal;
when the instruction signal is a cancel instruction based on the first control strategy or the second control strategy, the processing module deletes the image information and the numerical value information acquired at this time.
8. A nature-preserving ecological quality monitoring system according to claim 7, characterized in that: the acquisition module comprises a satellite remote sensing measurement module and an unmanned aerial vehicle high-altitude camera module.
9. A natural habitat ecological quality monitoring system according to claim 8 and wherein: the processing module comprises an image recognition processing unit which recognizes the area in the image based on the positioning column.
10. A nature-preserving ecological quality monitoring system according to claim 9, characterized in that: the image identification processing unit identifies and converts the color distribution condition and the brightness distribution condition in the image into numerical information.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116233208A (en) * | 2023-05-05 | 2023-06-06 | 四川省核工业地质调查院 | Mine ecological monitoring system and method based on artificial intelligence layout |
Citations (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004236087A (en) * | 2003-01-31 | 2004-08-19 | Funai Electric Co Ltd | Monitoring camera system |
WO2013144809A2 (en) * | 2012-03-26 | 2013-10-03 | Koninklijke Philips N.V. | Brightness region-based apparatuses and methods for hdr image encoding and decoding |
CN103884714A (en) * | 2014-02-25 | 2014-06-25 | 国家海洋环境监测中心 | Novel method for monitoring oil spill change of beach by using computer image |
CN103929605A (en) * | 2014-04-01 | 2014-07-16 | 北京智谷睿拓技术服务有限公司 | Image presenting control method and image presenting control device |
CN103955926A (en) * | 2014-04-22 | 2014-07-30 | 西南交通大学 | Method for remote sensing image change detection based on Semi-NMF |
KR101510203B1 (en) * | 2014-11-24 | 2015-04-09 | (주)아세아항측 | Land and City Monitoring Method Using Hyper Spectral Images |
CN105005852A (en) * | 2015-07-06 | 2015-10-28 | 深圳市鹏安视科技有限公司 | Image analysis based intelligent monitoring system for dormitory environment |
CN105208325A (en) * | 2015-08-26 | 2015-12-30 | 武汉大学 | Territorial resource monitoring and early warning method based on image fixed-point snapshot and comparative analysis |
CN105404266A (en) * | 2015-12-16 | 2016-03-16 | 北京煜邦电力技术股份有限公司 | Method and apparatus for monitoring area |
CN105575034A (en) * | 2014-10-14 | 2016-05-11 | 哈尔滨新光光电科技有限公司 | Image processing and analysis method of double-waveband forest fireproof intelligent monitoring software |
CN105719421A (en) * | 2016-04-27 | 2016-06-29 | 丛静华 | Big data mining based integrated forest fire prevention informatization system |
CN205582179U (en) * | 2016-04-20 | 2016-09-14 | 国家电网公司 | Forest fire remote monitoring system based on satellite remote sensing image |
CN106774080A (en) * | 2016-12-30 | 2017-05-31 | 西安天和防务技术股份有限公司 | Land resources monitoring system |
CN106875623A (en) * | 2016-12-30 | 2017-06-20 | 西安天和防务技术股份有限公司 | Land resources monitoring method |
CN108361069A (en) * | 2018-02-23 | 2018-08-03 | 中国矿业大学(北京) | Mine explosion monitoring system based on coloured image monitoring device |
CN109523480A (en) * | 2018-11-12 | 2019-03-26 | 上海海事大学 | A kind of defogging method, device, computer storage medium and the terminal of sea fog image |
CN109581372A (en) * | 2018-12-10 | 2019-04-05 | 北京航天泰坦科技股份有限公司 | A kind of Remote Sensing Monitoring of Ecological Environment method |
CN110163924A (en) * | 2019-05-09 | 2019-08-23 | 海南省海洋与渔业科学院 | Coral cover calculation method based on color |
CN110196892A (en) * | 2019-05-09 | 2019-09-03 | 生态环境部卫星环境应用中心 | A kind of protecting field comprehensive monitoring platform and its method based on Internet of Things |
CN110646793A (en) * | 2019-09-30 | 2020-01-03 | 浙江海洋大学 | Ocean oil spill detection device based on remote sensing |
CN110991332A (en) * | 2019-11-30 | 2020-04-10 | 内蒙古蒙草生命共同体大数据有限公司 | Vegetation index early warning method |
WO2020160485A1 (en) * | 2019-01-31 | 2020-08-06 | Alfred E. Mann Institute For Biomedical Engineering At The University Of Southern California | A hyperspectral imaging system |
CN111721361A (en) * | 2020-06-29 | 2020-09-29 | 杭州鲁尔物联科技有限公司 | Embankment monitoring system, method and equipment |
-
2020
- 2020-10-20 CN CN202011122942.9A patent/CN112508328B/en active Active
Patent Citations (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004236087A (en) * | 2003-01-31 | 2004-08-19 | Funai Electric Co Ltd | Monitoring camera system |
WO2013144809A2 (en) * | 2012-03-26 | 2013-10-03 | Koninklijke Philips N.V. | Brightness region-based apparatuses and methods for hdr image encoding and decoding |
CN103884714A (en) * | 2014-02-25 | 2014-06-25 | 国家海洋环境监测中心 | Novel method for monitoring oil spill change of beach by using computer image |
CN103929605A (en) * | 2014-04-01 | 2014-07-16 | 北京智谷睿拓技术服务有限公司 | Image presenting control method and image presenting control device |
CN103955926A (en) * | 2014-04-22 | 2014-07-30 | 西南交通大学 | Method for remote sensing image change detection based on Semi-NMF |
CN105575034A (en) * | 2014-10-14 | 2016-05-11 | 哈尔滨新光光电科技有限公司 | Image processing and analysis method of double-waveband forest fireproof intelligent monitoring software |
KR101510203B1 (en) * | 2014-11-24 | 2015-04-09 | (주)아세아항측 | Land and City Monitoring Method Using Hyper Spectral Images |
CN105005852A (en) * | 2015-07-06 | 2015-10-28 | 深圳市鹏安视科技有限公司 | Image analysis based intelligent monitoring system for dormitory environment |
CN105208325A (en) * | 2015-08-26 | 2015-12-30 | 武汉大学 | Territorial resource monitoring and early warning method based on image fixed-point snapshot and comparative analysis |
CN105404266A (en) * | 2015-12-16 | 2016-03-16 | 北京煜邦电力技术股份有限公司 | Method and apparatus for monitoring area |
CN205582179U (en) * | 2016-04-20 | 2016-09-14 | 国家电网公司 | Forest fire remote monitoring system based on satellite remote sensing image |
CN105719421A (en) * | 2016-04-27 | 2016-06-29 | 丛静华 | Big data mining based integrated forest fire prevention informatization system |
CN106774080A (en) * | 2016-12-30 | 2017-05-31 | 西安天和防务技术股份有限公司 | Land resources monitoring system |
CN106875623A (en) * | 2016-12-30 | 2017-06-20 | 西安天和防务技术股份有限公司 | Land resources monitoring method |
CN108361069A (en) * | 2018-02-23 | 2018-08-03 | 中国矿业大学(北京) | Mine explosion monitoring system based on coloured image monitoring device |
CN109523480A (en) * | 2018-11-12 | 2019-03-26 | 上海海事大学 | A kind of defogging method, device, computer storage medium and the terminal of sea fog image |
CN109581372A (en) * | 2018-12-10 | 2019-04-05 | 北京航天泰坦科技股份有限公司 | A kind of Remote Sensing Monitoring of Ecological Environment method |
WO2020160485A1 (en) * | 2019-01-31 | 2020-08-06 | Alfred E. Mann Institute For Biomedical Engineering At The University Of Southern California | A hyperspectral imaging system |
CN110163924A (en) * | 2019-05-09 | 2019-08-23 | 海南省海洋与渔业科学院 | Coral cover calculation method based on color |
CN110196892A (en) * | 2019-05-09 | 2019-09-03 | 生态环境部卫星环境应用中心 | A kind of protecting field comprehensive monitoring platform and its method based on Internet of Things |
CN110646793A (en) * | 2019-09-30 | 2020-01-03 | 浙江海洋大学 | Ocean oil spill detection device based on remote sensing |
CN110991332A (en) * | 2019-11-30 | 2020-04-10 | 内蒙古蒙草生命共同体大数据有限公司 | Vegetation index early warning method |
CN111721361A (en) * | 2020-06-29 | 2020-09-29 | 杭州鲁尔物联科技有限公司 | Embankment monitoring system, method and equipment |
Non-Patent Citations (3)
Title |
---|
刘磊;龚瑞昆;: "基于遥感监测的水质污染监测可视化系统研究", 科技风, no. 22 * |
刘磊;龚瑞昆;: "基于遥感监测的水质污染监测可视化系统研究", 科技风, no. 22, 6 August 2018 (2018-08-06) * |
陈曦 等: "用于城市流浪猫生态考察的远程视觉检测系统", 自动化仪表, 20 August 2019 (2019-08-20) * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116233208A (en) * | 2023-05-05 | 2023-06-06 | 四川省核工业地质调查院 | Mine ecological monitoring system and method based on artificial intelligence layout |
CN116233208B (en) * | 2023-05-05 | 2023-07-25 | 四川省核地质调查研究所 | Mine ecological monitoring system and method based on artificial intelligence layout |
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