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Analysis

1 / 78,750
1.116403111Forest damage area identification method and system, electronic equipment and storage medium
CN - 07.07.2023
Int.Class G06V 20/10
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
20Scenes; Scene-specific elements
10Terrestrial scenes
 Appl.No 202310369038.5 Applicant BEIJING NORMAL UNIVERSITY Inventor PAN YAOZHONG
The invention discloses a forest damage area identification method and system, an electronic device and a storage medium, and relates to the field of forest damage area identification, and the method comprises the steps: carrying out the preprocessing of the obtained GRD data and SLC data of a sentinel No.1 of a to-be-identified forest area, calculating the optimal feature parameters of all pixel points, and carrying out the recognition of a forest damage area. The optimal characteristic parameter is determined according to the separation degree of the backscattering intensity parameter in the forest damage area and the environmental background, the separation degree of the vegetation index in the forest damage area and the environmental background, and the separation degree of the polarization parameter in the forest damage area and the environmental background; and clustering the optimal feature parameters of all the pixel points by using a K-means clustering algorithm, and determining a forest damage area of the forest area to be identified. The method replaces a manual supervision method, and improves the recognition efficiency and accuracy of the forest damage area.
2.117611376Forest felling leakage rate monitoring method, device and equipment and storage medium
CN - 27.02.2024
Int.Class G06Q 50/02
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
50Information and communication technology specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
02Agriculture; Fishing; Forestry; Mining
 Appl.No 202311347034.3 Applicant GUANGDONG LABORATORY OF ARTIFICIAL INTELLIGENCE AND DIGITAL ECONOMIC (SHENZHEN) Inventor TANG YUZHI
The invention relates to the technical field of forest felling monitoring, in particular to a forest felling leakage rate monitoring method and device, equipment and a storage medium. According to the method, firstly, according to the features of a target area, a target candidate area matched with the features of the target area is screened out of the target area, and then the deforestation amount of the target candidate area after a project is implemented in the target area is monitored; and according to the deforestation amount, obtaining the deforestation leakage amount transferred from the target area to the target candidate area. The larger the forest felling leakage amount is, the more the reduced felling amount of the target area is transferred to the target candidate area, and the smaller the forest felling leakage amount is, the less the reduced felling amount of the target area is transferred to the target candidate area. The deforestation leakage amount can accurately reflect the deforestation amount reduced due to the implementation of the project.
3.116297223Remote sensing monitoring method and system for deforestation recovery
CN - 23.06.2023
Int.Class G01N 21/17
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
17Systems in which incident light is modified in accordance with the properties of the material investigated
 Appl.No 202310302938.8 Applicant NANJING UNIVERSITY Inventor ZANG JINLONG
The invention discloses a forest felling recovery remote sensing monitoring method and system, and the method comprises the following steps: obtaining a forest recovery time map based on a remote sensing technology; based on the forest structure indexes and a forest recovery time map, obtaining recovery values of the indexes after deforestation; obtaining a recovery degree diagram after deforestation based on the recovery values of the indexes; and based on the forest recovery time map and the recovery degree map, obtaining a recovery rate map after deforestation, and realizing remote sensing monitoring of deforestation recovery. The method focuses on the recovery of the forest structure, so that people can master the dynamic state of forest felling recovery more comprehensively. Moreover, the algorithm mechanism is simple, the operability is high, and the recovery degree or recovery rate of each forest index only needs one core formula. In addition, the algorithm result not only can present the recovery degree of the pixel level after deforestation, but also can flexibly set the local recovery rate of the sub-region according to the size of the target region.
4.114708514Method and device for detecting deforestation change based on deep learning
CN - 05.07.2022
Int.Class G06V 20/13
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
20Scenes; Scene-specific elements
10Terrestrial scenes
13Satellite images
 Appl.No 202210319083.5 Applicant ZHONGSHAN UNIVERSITY Inventor QI SHENGLIANG
The invention discloses a detection method and device for deforestation change based on deep learning, and the method comprises the steps: obtaining a first SAR image data set and a second optical image data set, carrying out the preprocessing of noise removal and the like of the first SAR image data set, and obtaining a first processed image data set; constructing a feature image set based on the polarization band of the first processed image data set, and constructing feature annotation information based on the deforestation change content in the first processed image data set and the second optical image data set; and performing model training on a preset deep learning model by using the feature image set and the feature labeling information to obtain a training model, and detecting a change state of deforestation by using the training model. According to the invention, after the image data are collected, the image data are subjected to preprocessing such as noise removal, and the processed data are utilized to carry out model training and change detection on the deep learning model, so that the interference of noise can be reduced, and the detection accuracy is improved.
5.115601596Drawing method and device for post-fire deforestation distribution identification
CN - 13.01.2023
Int.Class G06V 10/764
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
10Arrangements for image or video recognition or understanding
70using pattern recognition or machine learning
764using classification, e.g. of video objects
 Appl.No 202211296896.3 Applicant INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH, CAS Inventor XU ERQI
The invention discloses a charting method and device for post-fire deforestation distribution identification, and the method comprises the steps: carrying out the image synthesis of remote sensing image data of a target region, and obtaining a long-time-sequence annual cloudless optimal image; according to the method, pixel screening is carried out on a long-time-sequence annual cloudless optimal image to obtain a mature forest pixel, standardization processing is carried out on a spike-cap transformation brightness index and a spike-cap transformation humidity index of the mature forest pixel, a forest disturbance index is calculated, and the difficulty that a forest disturbance characteristic discrimination basis is insufficient is effectively solved; by setting a deforestation disturbance index threshold value and classifying each pixel in an overfire forest area year by year according to the deforestation disturbance index threshold value and a forest disturbance index, a post-fire deforestation behavior can be effectively identified, and a post-fire deforestation spatial and temporal distribution image is generated. And more accurate post-fire forest dynamic information can be provided for forest managers.
6.111861838Method and system for discriminating forest degradation causes in mountainous areas
CN - 30.10.2020
Int.Class G06Q 50/26
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
50Information and communication technology specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
10Services
26Government or public services
 Appl.No 202010857416.0 Applicant UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA Inventor ZHANG MINGFANG
The invention discloses a method and system for discriminating the forest degradation causes in a mountainous area, and the method comprises the steps: obtaining the long-time sequence remote sensingdata and meteorological data of a research region, and enabling the data to comprise rainfall data, temperature data, NDVI data and land cover data; performing calculating according to the data to obtain the change trend of the effective accumulated temperature and rainfall double factors and the NDVI; further extracting a degraded forest region in the forest region; judging the degeneration causeof the degenerated forest area according to a forest degeneration cause judgment mode; and finally, dividing the forest degeneration grade of the research area according to the degeneration cause ofthe forest area. The beneficial effects of the invention are that the method is based on the long-time sequence remote sensing data and the meteorological data, the accumulated temperature and the precipitation amount in the growing season are used as key meteorological parameters, and through professional software processing and computational analysis, the forest degradation area in the mountainous area is rapidly and accurately identified, and the cause and the degradation level of degradation are judged.
7.112381426Forest degradation remote sensing monitoring method and system based on staged time trend characteristics
CN - 19.02.2021
Int.Class G06Q 10/06
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
10Administration; Management
06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
 Appl.No 202011291634.9 Applicant RESEARCH INSTITUTE OF FOREST RESOURCE INFORMATION TECHNIQUES, CHINESE ACADEMY OF FORESTRY Inventor LIU PENGJU
The invention discloses a forest degradation remote sensing monitoring method and system based on staged time trend characteristics. The method comprises the following steps: acquiring a plurality oftypes of time sequence remote sensing data of a monitored plot; detecting a mutation point of the time sequence remote sensing data; selecting a mutation point of which the linear fitting trend changes before and after, and recording the mutation point as a trend change point; taking trend change points in all types of time sequence remote sensing data as final trend change points, taking the final trend change points as demarcation points, and segmenting each type of time sequence remote sensing data to obtain a plurality of trend segments; determining a linear fitting parameter of each trendsegment, and recording the linear fitting parameter as a trend characteristic; when the linear fitting coefficient of any trend section is smaller than a set threshold value, determining that the monitored land parcel is a degraded land parcel; acquiring degradation degree indexes of the monitored land parcel in each trend section; and based on the trend characteristics and the degradation degreeindexes, determining the degradation level of the monitored land parcel in combination with machine learning. The remote sensing monitoring precision of the forest degradation degree is improved.
8.118965730Digital twinborn-based method for predicting wind damage after deforestation
CN - 15.11.2024
Int.Class G06F 30/20
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
30Computer-aided design
20Design optimisation, verification or simulation
 Appl.No 202410997044.X Applicant NORTHEAST FORESTRY UNIVERSITY Inventor WANG BUNAN
The invention relates to the field of digital twinning, in particular to a digital twinning-based post-deforestation wind damage prediction method, which comprises the following steps of: performing deforestation simulation on a tree model by establishing a three-dimensional growth tree model; a critical wind speed after felling and a wind speed calculation formula at the height of 10 meters are imported into a tree model corresponding to the visual platform, different wind speed models are imported, a virtual wind speed sensor is used for measuring the wind speed, the tree model with the wind damage and the wind speed of the tree model are recorded, a database is established, and trees with the wind damage can be predicted in combination with weather forecast; according to the method, digital twinning is applied to wind damage prediction, the influence of felling on the critical wind speed of the trees is considered, the accuracy of critical wind speed calculation is improved, forestry workers can predict the trees which are subjected to wind damage after felling through the method, the trees which are subjected to wind damage can be processed in time, and damage is reduced.
9.105788123一种动态实时监测森林砍伐的方法及其系统
CN - 20.07.2016
Int.Class G08B 13/186
GPHYSICS
08SIGNALLING
BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
13Burglar, theft or intruder alarms
18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
181using active radiation detection systems
183by interruption of a radiation beam or barrier
186using light guides, e.g. optical fibres
 Appl.No 201610244034.4 Applicant 北京科技大学 Inventor 张勇军
本发明涉及森林防护的系统技术，特别提出了一种用于大面积、长周界森林防护中对森林砍伐事件的动态实时监测、定位和报警的动态实时监测森林砍伐的方法及其系统。主要功能是防御外来人员入侵砍伐破坏植被。具体做法是在森林保护区将光纤传感器捆绑在围栏上、铺设在植被上或浅埋在地下，传感器可以感知周围的砍伐事件（包括锯断、震动、拉伸等）。光纤传感器与信号采集模块、信号发射端、终端处理器一起构成了光纤传感系统。其通过马赫曾德干涉原理实现砍伐报警、定位，通过算法处理实现砍伐信号的识别。本发明成本低，工作效率高，可以对乱砍滥伐现象进行监控，报警和及时定位，有效防止外来人员进入森林乱砍滥发。
10.116894204Afforestation optimization method based on degradation risk avoidance and ecosystem service improvement
CN - 17.10.2023
Int.Class G06F 18/24
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
18Pattern recognition
20Analysing
24Classification techniques
 Appl.No 202310874136.4 Applicant DONGGUAN UNIVERSITY OF TECHNOLOGY Inventor TENG YANMIN
The invention discloses an afforestation optimization method based on degeneration risk avoidance and ecosystem service improvement. The method comprises a forest degeneration risk area type and distribution identification process, a forest degeneration risk avoidance-based potential afforestation area identification process, a typical ecosystem service evaluation process and an afforestation pattern and tree species optimization process. The beneficial effects of the method are that the technical scheme identifies the potential afforestation area on the basis of analyzing the forest degeneration risk based on the thought of forest degeneration risk avoidance and ecological system service improvement, and carries out the optimization of the afforestation pattern and the afforestation tree species by taking the improvement of various ecological system services as the target subarea; finally, a set of afforestation optimization technical system is formed, guidance is provided for afforestation planning management in northern China, the risk of afforestation degradation can be avoided to a certain extent, and on the basis of improvement of water and soil conservation and wind prevention and sand fixation services, carbon sequestration and water lifting multi-in-one regional ecological system service improvement is achieved.
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