CN113225400A - Bird population density monitoring system and method based on singing of singing birds - Google Patents
Bird population density monitoring system and method based on singing of singing birds Download PDFInfo
- Publication number
- CN113225400A CN113225400A CN202110497524.6A CN202110497524A CN113225400A CN 113225400 A CN113225400 A CN 113225400A CN 202110497524 A CN202110497524 A CN 202110497524A CN 113225400 A CN113225400 A CN 113225400A
- Authority
- CN
- China
- Prior art keywords
- singing
- birds
- module
- bird
- population density
- 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.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 28
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000004891 communication Methods 0.000 claims description 42
- 238000013500 data storage Methods 0.000 claims description 21
- 238000012545 processing Methods 0.000 claims description 9
- 238000007781 pre-processing Methods 0.000 claims description 4
- 238000004422 calculation algorithm Methods 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- 238000009432 framing Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 238000007637 random forest analysis Methods 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 241000271566 Aves Species 0.000 description 53
- 241000894007 species Species 0.000 description 7
- 230000000694 effects Effects 0.000 description 5
- 230000001932 seasonal effect Effects 0.000 description 5
- 241000282414 Homo sapiens Species 0.000 description 4
- 230000008859 change Effects 0.000 description 4
- 230000007613 environmental effect Effects 0.000 description 3
- 230000006378 damage Effects 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 230000008034 disappearance Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000013467 fragmentation Methods 0.000 description 1
- 238000006062 fragmentation reaction Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000001617 migratory effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/14—Receivers specially adapted for specific applications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification techniques
- G10L17/02—Preprocessing operations, e.g. segment selection; Pattern representation or modelling, e.g. based on linear discriminant analysis [LDA] or principal components; Feature selection or extraction
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification techniques
- G10L17/04—Training, enrolment or model building
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification techniques
- G10L17/26—Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/27—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/45—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of analysis window
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Computational Linguistics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a bird population density monitoring system and method based on bird singing, which comprises a collecting system for collecting bird singing, an identifying system for identifying the bird population density and a real-time display system for displaying the bird population density at a mobile device end.
Description
Technical Field
The invention relates to the field of bird voice recognition, in particular to a bird population density monitoring system and method based on singing of singing birds.
Background
Birds are consumers in the food chain, an important component of the ecosystem. About 9000 more birds exist in the world, 1186 birds exist in China, account for 14 percent of the number of the birds in the world, are more than the countries with more birds such as India and Australia, and are one of the countries with the most birds in the world.
Many birds have died due to interference with human activities and destruction and disappearance of habitats. As an important member of the ecosystem, birds have been regarded as an important index of ecological health. Birds have high sensitivity to environmental changes and can reflect or predict the change trend of the environment, so the bird population density identification system and method are frequently used for monitoring environmental changes, some birds can also be used as indicators of habitat damage, a bird population density identification system and method are urgently needed, the relevance of bird singing complexity and population density is obtained by means of a big data analysis method, and scientific basis is provided for monitoring population ecological changes of singing complex singing birds by observing differentiation of complex singing types.
Disclosure of Invention
In order to achieve the above technical object, the present invention provides a bird population density monitoring system based on singing of singing birds, for collecting the singing of birds in a target area, comprising:
the sound collection device is arranged at the middle upper end of a tree in the target area, wherein the middle upper end of the tree represents a position close to a crown;
the first chip is connected with the sound acquisition device and used for controlling the sound acquisition device to obtain the sound information of the bird singing;
the first data storage module is connected with the first chip and used for storing sound information;
the first positioning module is connected with the first chip and used for acquiring the position information of the system;
the first communication module is connected with the first chip and used for receiving or sending sound information and position information;
the first solar power supply device is arranged at the top end of the tree crown, connected with the first chip and used for supplying power to the system.
Preferably, the sound collection device comprises a plurality of sound collectors, wherein each sound collector comprises a sound collection module, a second communication module, a second solar power supply device, a second chip, a second data storage module and a second positioning module;
the second chip is respectively connected with the sound collection module, the second communication module, the second solar power supply device, the second data storage module and the second positioning module.
Preferably, the first positioning module and the second positioning module are Beidou positioning modules;
the first solar power supply device and the second solar power supply device are respectively arranged at the upper end of the crown.
Preferably, the first communication module and the second communication module are 5G communication modules.
Preferably, the bird population density monitoring system based on singing of singing birds is used in a server, determines bird population density by identifying the bird singing, and comprises a third communication module, a third data storage module, a data processing module and a first display module;
the third data storage module is respectively connected with the third communication module, the data processing module and the first display module;
the first display module is used for displaying the bird population density;
the data processing module is used for acquiring bird population density according to bird chirping;
the third communication module is connected with the first communication module.
Preferably, the bird population density monitoring system based on singing of singing birds is used in mobile equipment and comprises a second display module, a fourth communication module and a fourth data storage module;
the fourth data storage module is respectively connected with the fourth communication module and the second display module;
the second display module is used for displaying the bird population density;
the fourth communication module is connected with the third communication module.
A method for monitoring bird population density based on singing of singing birds comprises the following steps of collecting bird singing of the birds to obtain sound information of the birds;
based on the voice information, performing syllable segmentation and syllable feature extraction on the voice information to obtain singing features and singing complexity of the birds, and constructing a voice feature recognition model;
identifying the type information and the quantity information of the birds on the basis of the sound feature identification model;
acquiring position information of birds to obtain individual distance sample lines of the birds;
and constructing a bird population density recognition model based on the individual distance sample lines, the species information and the quantity information, and recognizing the bird population density of the target area by collecting bird chirps.
Preferably, in the process of constructing the sound feature recognition model, the sound information is preprocessed, wherein the preprocessing method at least comprises framing, windowing, fast fourier transform and discrete remainder transform.
Preferably, the type information and the quantity information are obtained through a random forest algorithm based on the sound feature recognition model.
Preferably, the vertical distance of the birds, as well as their relative distance and azimuth with respect to the system, are collected to obtain individual distance profiles.
The invention discloses the following technical effects:
compared with the prior art, the monitoring system provided by the invention has the advantages of simple structure, accurate identification rate and accuracy rate of more than 98%, realizes the real-time monitoring of the bird population density in the region, and provides data basis for the change of the regional ecological environment.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a block diagram of a system according to an embodiment of the present invention;
fig. 2 is a flow chart of a method according to an embodiment of the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1-2, the present invention provides a bird population density monitoring system based on singing of singing birds, which is used for collecting the singing of birds in a target area, and comprises: the sound collection device is arranged at the middle upper end of a tree in the target area, wherein the middle upper end of the tree represents a position close to a crown; the first chip is connected with the sound acquisition device and used for controlling the sound acquisition device to obtain the sound information of the bird singing; the first data storage module is connected with the first chip and used for storing sound information; the first positioning module is connected with the first chip and used for acquiring the position information of the system; the first communication module is connected with the first chip and used for receiving or sending sound information and position information; the first solar power supply device is arranged at the top end of the tree crown, connected with the first chip and used for supplying power to the system.
The sound acquisition device comprises a plurality of sound collectors, wherein each sound collector comprises a sound acquisition module, a second communication module, a second solar power supply device, a second chip, a second data storage module and a second positioning module; the second chip is respectively connected with the sound collection module, the second communication module, the second solar power supply device, the second data storage module and the second positioning module.
The first positioning module and the second positioning module are Beidou positioning modules; the first solar power supply device and the second solar power supply device are respectively arranged at the upper end of the crown.
The first communication module and the second communication module are 5G communication modules.
A bird population density monitoring system based on singing of singing birds is used in a server and determines bird population density by identifying the singing of the birds and comprises a third communication module, a third data storage module, a data processing module and a first display module; the third data storage module is respectively connected with the third communication module, the data processing module and the first display module; the first display module is used for displaying the bird population density; the data processing module is used for acquiring bird population density according to bird chirping; the third communication module is connected with the first communication module.
A bird population density monitoring system based on singing of singing birds is used in mobile equipment and comprises a second display module, a fourth communication module and a fourth data storage module; the fourth data storage module is respectively connected with the fourth communication module and the second display module; the second display module is used for displaying the bird population density; the fourth communication module is connected with the third communication module.
A method for monitoring bird population density based on singing of singing birds comprises the following steps of collecting bird singing of the birds to obtain sound information of the birds; based on the voice information, performing syllable segmentation and syllable feature extraction on the voice information to obtain singing features and singing complexity of the birds, and constructing a voice feature recognition model; identifying the type information and the quantity information of the birds on the basis of the sound feature identification model; acquiring position information of birds to obtain individual distance sample lines of the birds; based on individual distance sample lines, species information and quantity information, a bird population density recognition model is constructed and used for recognizing the bird population density of the target area by collecting singing characteristics and singing complexity of birds.
In the process of constructing the voice feature recognition model, voice information is preprocessed, wherein the preprocessing method at least comprises framing, windowing, fast Fourier transform and discrete remainder transform.
Based on the sound feature recognition model, the variety information and the quantity information are obtained through a random forest algorithm.
And acquiring the vertical distance of the birds, and the relative distance and azimuth angle of the birds relative to the system to obtain individual distance sample lines.
The diversity and species abundance of bird communities are closely related to the structure and capacity of vegetation. The vegetation provides food, shelter, nest site, etc. for the birds. The effects of urbanization on avian habitat vegetation mainly include changes in vegetation structure and increases in foreign vegetation. In addition to high fragmentation of bird habitats in cities, canopy coverage in the middle and upper parts of the arbor forest is reduced compared to the natural environment. In an urban forest ecosystem, the species of birds feeding on the canopy, probing on the bark, may decrease in the bird community, while the species feeding on the ground may increase.
The avian community varies with the growth of exotic plants and their increasing proportion in the total amount of vegetation. The abundance and density of native bird species in the community is related to the native vegetation proportion, while the abundance and density of foreign bird species is related to the foreign vegetation proportion.
In cities, human activities can interfere with avian communities. Human interference with bird communities mainly includes man-made object collision, food acquisition mode change, predation, diseases, road interference and the like. Cities provide more food sources for birds, but also increase the risk of survival.
Seasonal variation of urban bird communities: the seasonal variation is closely related to the dynamic variation of the bird community, and the proportion of remaining birds to migrating birds in the community can be determined. During the most abundant and relatively scarce periods of the year, the resources that birds can acquire vary greatly, especially in colder winter areas, where more migratory birds are present in the bird community. In the city, due to factors such as a heat island effect and food sources provided by human beings, along with the improvement of the urbanization degree, the city provides a relatively mild microenvironment in cold winter, the seasonal environmental difference of the city center is reduced, the seasonal difference of the bird community is also reduced, and in addition, along with the reduction of the arbor coverage rate of the forest land in the city, the proportion of birds left in the bird community is increased, and the proportion of migrating birds is reduced. Thus, the abundance, and seasonal variation in composition of avian communities in cities are reduced.
The invention realizes the real-time monitoring of bird population density and provides data basis for the change of the regional ecological environment.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the present invention in its spirit and scope. Are intended to be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. The utility model provides a birds population density monitoring system based on birds singing that sings, a characterized in that for gather the birds in target area and cry, include:
the sound collection device is arranged at the middle upper end of a tree in the target area, wherein the middle upper end of the tree represents a position close to a crown;
the first chip is connected with the sound acquisition device and used for controlling the sound acquisition device to obtain the sound information of the bird singing;
the first data storage module is connected with the first chip and used for storing the sound information;
the first positioning module is connected with the first chip and used for acquiring the position information of the system;
the first communication module is connected with the first chip and used for receiving or sending the sound information and the position information;
and the first solar power supply device is arranged at the top end of the crown, is connected with the first chip and is used for supplying power to the system.
2. Bird population density monitoring system based on singing by singing birds according to claim 1,
the sound acquisition device comprises a plurality of sound collectors, wherein each sound collector comprises a sound acquisition module, a second communication module, a second solar power supply device, a second chip, a second data storage module and a second positioning module;
the second chip is respectively connected with the sound collection module, the second communication module, the second solar power supply device, the second data storage module and the second positioning module.
3. Bird population density monitoring system based on singing by singing birds according to claim 2,
the first positioning module and the second positioning module are Beidou positioning modules;
the first solar power supply device and the second solar power supply device are respectively arranged at the upper end of the crown.
4. Bird population density monitoring system based on singing by singing birds according to claim 2,
the first communication module and the second communication module are 5G communication modules.
5. The bird population density monitoring system based on singing of singing birds according to claim 1, which is used in a server for determining bird population density by identifying the bird singing, and comprises a third communication module, a third data storage module, a data processing module and a first display module;
the third data storage module is respectively connected with the third communication module, the data processing module and the first display module;
the first display module is used for displaying the bird population density;
the data processing module is used for obtaining the bird population density according to the bird chirping;
the third communication module is connected with the first communication module.
6. The bird population density monitoring system based on singing of singing birds according to claim 5, which is used in a mobile device and comprises a second display module, a fourth communication module and a fourth data storage module;
the fourth data storage module is respectively connected with the fourth communication module and the second display module;
the second display module is used for displaying the bird population density;
the fourth communication module is connected with the third communication module.
7. A monitoring method of a bird population density monitoring system based on singing of a singing bird according to any one of claims 1 to 6, comprising the steps of,
collecting the bird chirping of the birds to obtain the sound information of the birds;
based on the voice information, constructing a voice feature recognition model by performing syllable segmentation and syllable feature extraction on the voice information;
identifying species information and quantity information of the birds based on the sound feature identification model;
acquiring position information of the birds to obtain individual distance sample lines of the birds;
and constructing a bird population density identification model based on the individual distance sample line, the species information and the quantity information, and identifying the bird population density of the target area by collecting the bird chirping.
8. The monitoring method according to claim 7,
and preprocessing the sound information in the process of constructing the sound characteristic identification model, wherein the preprocessing method at least comprises framing, windowing, fast Fourier transform and discrete remainder transform.
9. The monitoring method according to claim 8,
and obtaining the type information and the quantity information by a random forest algorithm based on the sound feature recognition model.
10. The monitoring method according to claim 9,
and acquiring the vertical distance of the birds, the relative distance and azimuth angle of the birds relative to the system, and obtaining the individual distance sample line.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110497524.6A CN113225400A (en) | 2021-05-08 | 2021-05-08 | Bird population density monitoring system and method based on singing of singing birds |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110497524.6A CN113225400A (en) | 2021-05-08 | 2021-05-08 | Bird population density monitoring system and method based on singing of singing birds |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113225400A true CN113225400A (en) | 2021-08-06 |
Family
ID=77091609
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110497524.6A Pending CN113225400A (en) | 2021-05-08 | 2021-05-08 | Bird population density monitoring system and method based on singing of singing birds |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113225400A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116935310A (en) * | 2023-07-13 | 2023-10-24 | 百鸟数据科技(北京)有限责任公司 | Real-time video monitoring bird density estimation method and system based on deep learning |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106504762A (en) * | 2016-11-04 | 2017-03-15 | 中南民族大学 | Bird community quantity survey system and method |
CN110716179A (en) * | 2019-09-29 | 2020-01-21 | 浙江海洋大学 | Bird positioning system and method based on sound |
CN111276151A (en) * | 2020-01-20 | 2020-06-12 | 北京正和恒基滨水生态环境治理股份有限公司 | Bird sound identification system and identification method |
CN111629041A (en) * | 2020-05-20 | 2020-09-04 | 广州大学 | Remote bird sound signal transmission system |
-
2021
- 2021-05-08 CN CN202110497524.6A patent/CN113225400A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106504762A (en) * | 2016-11-04 | 2017-03-15 | 中南民族大学 | Bird community quantity survey system and method |
CN110716179A (en) * | 2019-09-29 | 2020-01-21 | 浙江海洋大学 | Bird positioning system and method based on sound |
CN111276151A (en) * | 2020-01-20 | 2020-06-12 | 北京正和恒基滨水生态环境治理股份有限公司 | Bird sound identification system and identification method |
CN111629041A (en) * | 2020-05-20 | 2020-09-04 | 广州大学 | Remote bird sound signal transmission system |
Non-Patent Citations (1)
Title |
---|
许龙: "样线法在鸟类数量调查中的运用", 《生态学杂志》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116935310A (en) * | 2023-07-13 | 2023-10-24 | 百鸟数据科技(北京)有限责任公司 | Real-time video monitoring bird density estimation method and system based on deep learning |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Justice et al. | Monitoring East African vegetation using AVHRR data | |
Barry | A climatological transect on the east slope of the Front Range, Colorado | |
Szwagrzyk et al. | Dynamics of seedling banks in beech forest: results of a 10-year study on germination, growth and survival | |
Tovar et al. | Monitoring land use and land cover change in mountain regions: An example in the Jalca grasslands of the Peruvian Andes | |
CN110942039A (en) | Remote sensing monitoring and forecasting system and method for high-temperature disasters of main crops | |
JP2002360070A (en) | Evaluation method of plant vitality | |
CN112215716A (en) | Crop growth intervention method, device, equipment and storage medium | |
Castillo-Núñez et al. | Delineation of secondary succession mechanisms for tropical dry forests using LiDAR | |
Fernández-Rodríguez et al. | Understanding hourly patterns of Olea pollen concentrations as tool for the environmental impact assessment | |
Coops et al. | Demonstration of a satellite-based index to monitor habitat at continental-scales | |
CN113225400A (en) | Bird population density monitoring system and method based on singing of singing birds | |
de Souza et al. | Long-range correlations of the wind speed in a northeast region of Brazil | |
CN117036061B (en) | Intelligent solution providing method and system for intelligent agricultural insurance | |
CN207473623U (en) | A kind of remote sensing system for urban green space wood recognition | |
Dye et al. | Water-use in relation to biomass of indigenous tree species in woodland, forest and/or plantation conditions | |
Nowak et al. | Hidden gaps under the canopy: LiDAR-based detection and quantification of porosity in tree belts | |
LU500168B1 (en) | Bird population density monitoring system and method based on songbirds singing | |
Kwong | Physical environment, species choice and spatio-temporal patterns of urban roadside trees in Hong Kong | |
Rode et al. | Habitat assessment and species niche modelling | |
Tamungang et al. | Linking population size to conservation needs of the Grey Parrot in Cameroon | |
Barrett et al. | A floristic description and utilisation of two home ranges by vervet monkeys in Loskop Dam Nature Reserve, South Africa | |
Hamilton | Classification of coastal grizzly bear habitat for forestry interpretations and the role of food in habitat use by coastal grizzly bears | |
CN114724024B (en) | Cloud computing platform and life cycle based double-season crop planting boundary automatic extraction method | |
CN115410053B (en) | Crop identification method based on random forest model and transfer learning CDL knowledge | |
Stalmans et al. | Evaluating the ecological relevance of habitat maps for wild herbivores |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210806 |
|
RJ01 | Rejection of invention patent application after publication |