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39 results about "Grassland degradation" patented technology

Grassland degradation, also called vegetation or steppe degradation is a biotic disturbance in which grass struggles to grow or can no longer exist on a piece of land due to causes such as overgrazing, burrowing of small mammals, and climate change. Since the 1970s, it has been noticed to affects plains and plateaus of alpine meadows or grasslands, most notably being in the Philippines and in the Tibetan and Inner Mongolian region of China where 2460 km² of grassland is degraded each year. Across the globe it is estimated that 23% of the land is degraded. It takes years and sometimes even decades, depending on what is happening to that piece of land, for a grassland to become degraded. The process is slow and gradual but at the same time so is restoring degraded grassland. Initially only patches of grass appear to die and appear brown in nature; but the degradation process, if not addressed, can spread to decimate many acres of land, which in the most severe cases is merely bare, black soil bereft of any usefulness. As a result, the frequency of landslides and dust storms increases; the degraded land’s less fertile ground cannot yield any produce nor can animals graze in these fields any longer; a dramatic decrease in plant diversity in this ecosystem; and more carbon and nitrogen are released into the atmosphere. These results can have serious effects on humans such as displacing herders from their community; a decrease in vegetables, fruit, and meat that are regularly acquired from these fields; and a catalyzing effect on global warming.

Grassland degradation degree monitoring model and method based on remote sensing technology

The invention discloses a grassland degradation degree monitoring model and method based on a remote sensing technology, and belongs to the technical field of ecological environment monitoring. The method comprises the following steps: step 1, constructing a multi-scale remote sensing data set with consistent time and space, and establishing a high-precision truth value library of grassland types and degradation degrees in combination with ground measured data; step 2, constructing a remote sensing index system adapted to different spatial scales; step 3, identifying key scale conversion nodes of grassland degradation driven by climate and human factors; step 4, grassland degradation degree grading from the pixel scale to the landscape scale is realized, and spatial distribution, area change and time-space evolution trend of each degradation grade are quantitatively analyzed; step 5, realizing reliable conversion and up-down transmission of analysis results of different scales, and generating a comprehensive grassland degradation monitoring result; and step 6, automatically generating differentiated management strategies, and outputting a grassland degradation level distribution map, a driving force analysis map, a risk early warning map and a partition management suggestion map.
Owner:INNER MONGOLIA UNIVERSITY

Evaluation method for grassland degradation recovery condition by integrating ecological structure and service indexes

The invention provides a grassland degradation and recovery condition evaluation method integrating an ecological structure and a service index, and the method comprises the steps: constructing a grassland ecological index data set based on multi-source remote sensing data, soil data and meteorological data, and carrying out the inversion of a single-factor monitoring index comprising an ecological system structure index and an ecological system service index; identifying an ecosystem service beam, and performing ecological partitioning on the research area by using the ecosystem service beam; determining the weight of the single-factor monitoring index of each ecological partition, and calculating a grassland health and service comprehensive index according to the weight of the single-factor monitoring index; and evaluating grassland degradation and recovery grades by using the grassland health and service comprehensive indexes. According to the method, the ecological system structure and the service indexes are comprehensively considered, and the comprehensiveness of the indexes is ensured; meanwhile, the difference of grassland ecosystem functions of different regions is fully considered, the index weight is adjusted according to the region characteristics, and the scientificity and reliability of the evaluation result are remarkably improved.
Owner:HENAN UNIVERSITY

Method for evaluating grassland degradation based on microbial community structure and composition

The invention provides a method for evaluating grassland degradation based on microbial community structures and composition, and belongs to the technical field of grassland degradation degree evaluation. The method comprises the following steps: selecting a representative sample plot in a to-be-evaluated grassland degradation area, selecting a sample square in the sample plot, and collecting rhizosphere soil in the sample square; mixing rhizosphere soil of all quadrat belonging to the sample plot to obtain a soil sample; analyzing the OTU number of bacteria and the OTU number of fungi in the soil sample by adopting high-throughput sequencing; calculating a grassland degradation grade evaluation value according to the OTU number of the bacteria and the OTU number of the fungi; according to the grassland degradation grade evaluation value and the grassland degradation grade evaluation standard, grassland degradation evaluation is carried out, and an evaluation result is obtained. The grassland degradation grade evaluation value of the to-be-evaluated area is calculated by taking the microflora structure and composition of the to-be-evaluated area as evaluation indexes, and the grassland degradation grade of the to-be-evaluated area is determined in combination with the grassland degradation grade evaluation standard.
Owner:NINGXIA UNIVERSITY +1

Vehicle-mounted unmanned aerial vehicle take-off and landing platform in grassland scene

PendingCN121608920AFreight handlingUncrewed vehicleGrassland degradation
The invention relates to a vehicle-mounted unmanned aerial vehicle take-off and landing platform in a grassland scene, the vehicle-mounted unmanned aerial vehicle take-off and landing platform is composed of an intelligent box body and an integrated connection platform, the intelligent box body integrates various sensors, monitors environment information inside and outside the box, provides conditional decisions for take-off and landing and charging operation of an unmanned aerial vehicle as a basis, and is provided with a high-speed data interface and a single-drive opening and closing mechanism; flight data of the unmanned aerial vehicle can be downloaded quickly, and energy loss of opening and closing actions is reduced; an integrated connection platform is nested in the box body, meanwhile, reset charging and autonomous feeding functions are integrated, and the endurance and material supply capacity of the unmanned aerial vehicle is improved; the platform can be carried on the upper portion of a movable chassis, near-low-altitude remote sensing image collection of the unmanned aerial vehicle is carried out on the rugged grassland terrain, and good scientific basis and technical support are provided for producers to monitor grassland degradation conditions and carry out ecological protection operation such as grass seed reseeding. And powerful technical support is provided for sustainable development of the grassland and promotion of intellectualization of related industries.
Owner:CHINA AGRI UNIV

Grassland degradation monitoring method fused with animal activities

The invention discloses a grassland degradation monitoring method fusing animal activities, and relates to the technical field of grassland ecological degradation monitoring, and the method comprises the steps: deploying a multi-source sensor and animal activity tracking equipment in a target area, and continuously collecting the in-situ monitoring data of vegetation, soil and animal activities; performing primary cleaning and fusion of the in-situ monitoring data through the end side equipment, and uploading the data to the cloud after compression; multi-time-sequence remote sensing image data are integrated at a cloud end, and a regional remote sensing-monitoring spatio-temporal data set is generated. According to the method, the multi-source sensor and the animal activity tracking equipment are deployed in the target area through the end-cloud collaborative architecture, vegetation, soil and animal activity data are continuously collected, and the regional remote sensing-monitoring spatio-temporal data set is generated in combination with the multi-time-sequence remote sensing image, so that the problem of discontinuous spatio-temporal data in a traditional monitoring method is effectively solved; the dynamic process of grassland degradation can be captured, continuous and consistent monitoring results in time and space are provided, and a data basis is provided for accurately evaluating the grassland degradation degree.
Owner:BAICHENG ANIMAL HUSBANDRY SCI RES INST

Grass original ecology safety dynamic evaluation and early warning system

PendingCN120820193AMeasurement devicesScene recognitionEcological modellingEarly warning system
The invention discloses a grassland original ecology safety dynamic evaluation and early warning system, belongs to the field of grassland safety monitoring, and aims to solve the problem that an existing dynamic evaluation and early warning system is difficult to monitor and early warn the self-restoration capacity of a grassland. Through the vegetation monitoring unit, the soil monitoring unit, the livestock monitoring unit and the restoring force monitoring unit, and through a multi-scene simulation platform establishment module of the restoring force monitoring unit, interference scenes of drought and overload grazing are preset and visually displayed based on a vegetation productivity model; a dynamic ecological model is constructed in combination with vegetation, soil and livestock grazing data collected in real time, and deduction of the self-recovery state after grassland degradation is achieved; cA-Markov is utilized to dynamically simulate variation trends of vegetation productivity, grazing intensity and the like, critical threshold values of key indexes such as livestock carrying rate and the like are accurately identified, and the anti-interference capability of an ecological system is quantified; and the decision support module integrates the DPSIR model to generate a grazing forbidding strategy, and forms a whole-process restoration force evaluation chain.
Owner:INST OF METEOROLOGICAL SCI OF INNER MONGOLIA AUTONOMOUS REGION (WEATHER MODIFICATION CENT OF INNER MONGOLIA AUTONOMOUS REGION)

Grassland degradation identification method and system based on aerial image

The invention relates to the technical field of image recognition, and discloses a grassland degradation recognition method and system based on aerial images, and the method comprises the following steps: S101, obtaining a three-band reflectivity image; s102, extracting a red edge main direction and red edge anisotropy intensity; s103, performing screening to obtain a main response band-pass texture map; step S104, calculating to obtain a red edge texture coherence ratio index; step S105, marking the types of the pixels; and step S106, obtaining the area and proportion of each type of region. Structural features such as red edge main direction and anisotropic strength of a red edge form comparison graph are extracted, adaptive texture features are screened in combination with multi-scale filtering and main response scale, the optimal displacement vector is calculated through phase correlation to achieve space alignment, pseudo-coherent interference such as splicing seams and micro-displacement is effectively inhibited in cooperation with weighted covariance, and the method is suitable for large-scale and large-scale imaging. Therefore, grassland degradation identification precision is improved.
Owner:NORTHWEST INST OF PLATEAU BIOLOGY CHINESE ACAD OF SCI

Grassland degradation monitoring method based on remote sensing monitoring

The invention discloses a grassland degradation monitoring method based on remote sensing monitoring. Acquiring multi-source remote sensing data; preprocessing the multi-source remote sensing data to obtain preprocessed remote sensing data; extracting multi-dimensional feature parameters based on the preprocessed remote sensing data to obtain a multi-dimensional feature parameter set; performing time sequence analysis on the dynamic vegetation features, the dynamic soil features and the man-made interference features through the multi-dimensional feature parameter set in combination with multi-temporal observation data, and constructing a dynamic feature time sequence data set; according to the dynamic feature time sequence data set, utilizing a convolutional neural network model to carry out deep fusion on spatial features and time sequence changes in a time sequence, and generating a space-time fusion feature set; according to the space-time fusion feature set, obtaining a degradation grade division result graph; and integrating multi-source remote sensing data based on the degradation grade division result graph, obtaining a refined grassland degradation evaluation result, and monitoring grassland degradation according to the evaluation result.
Owner:INSTITUTE OF GRASSLAND RESEARCH OF CAAS

Forage grass seed precision sowing device

The invention discloses a precision seeding device for forage grass seeds, and relates to the technical field of crop planting. The seeder comprises a seeder body, wherein a seeding mechanism and a precision mechanism are arranged in the seeder body; a turning and throwing roller and a pressing roller are rotationally mounted between the seeding machine bodies, through the arrangement of the seeding mechanism and the precision mechanism, the space between seeding barrels can be increased, competition between seeds is reduced, each seed can obtain more moisture and space, and the germination rate and the growth speed of the seeds are increased. It is guaranteed that more seeds can grow smoothly in the environment with limited moisture, the stability of the grassland can be improved, grassland degradation caused by insufficient moisture is reduced, under the wet condition, the density of the seeds is increased, dense grassland coverage can be formed, wind erosion and moisture evaporation are reduced, and therefore the overall quality of the grassland is improved. Meanwhile, accurate distribution of the seeds is achieved by automatically adjusting the rotating speed of the feeding disc.
Owner:QINGHAI KAIRUI ECOLOGICAL TECH CO LTD

Grassland degradation ecological risk assessment method based on multi-agent model

This invention relates to the field of ecological environment assessment and spatial simulation technology, and discloses a method for grassland degradation ecological risk assessment based on a multi-agent model. The method includes a spatial risk assessment module that acquires multi-source basic data and divides it into discrete grid cells, calculating a landscape ecological risk index to generate spatial distribution results; a driving mechanism identification module that extracts driving factors to construct an improved regression tree model and outputs nonlinear response rules; and a multi-agent dynamic simulation module that constructs grassland environmental entities based on grid cells, injects risk indices and response rules, generates herder behavior entities, and inputs management policy parameters. Iterative calculations are performed using these two types of entities to simulate the dynamic process of herder relocation and resource consumption. After the iteration reaches the target year, the grid landscape attributes are reclassified according to the remaining grass cover, and the data is re-input into the assessment module for aggregation calculations, outputting a spatial distribution map to complete the evolution assessment. This invention can intuitively test the intervention effect of management policies on grassland degradation.
Owner:GANSU AGRI UNIV

Pasture ecological monitoring method and system

PendingCN120746033AClimate change adaptationResourcesGrassland degradationPasture
The invention provides a pasture ecological monitoring method and system, and relates to the technical field of ecological monitoring, and the method comprises the steps: obtaining the meteorological data of a to-be-detected pasture, and determining the plant production efficiency of the to-be-detected pasture based on the meteorological data; calculating the theoretical grass yield of the to-be-measured pasture according to the plant production efficiency; determining the pasture availability of the to-be-detected pasture based on the type of the to-be-detected pasture; wherein different types of the to-be-detected pasture respectively correspond to different pasture utilization rates; on the basis of the theoretical grass yield and the pasture availability, calculating the edible grass yield of the to-be-measured pasture; acquiring livestock information of the to-be-detected pasture, and determining the grass consumption of the to-be-detected pasture based on the livestock information; calculating an attenuation index of the to-be-measured pasture based on the edible grass yield and the grass consumption; the grazing intensity can be controlled, so that the harm of grassland degradation caused by overlarge grazing intensity is avoided, and sustainable development of pasture ecology is facilitated.
Owner:SOUTHWEST PETROLEUM UNIV

Ecological restoration method for moderately degenerated Coilin grassland

The invention discloses a method for ecologically restoring moderately degenerated Coilsein grassland. The method comprises the following steps: S1, investigating the degeneration condition of the Coilsein grassland; s2, investigating plant community characteristics and biomass; s3, determining the quality of the forage grass in the plant community; s4, collecting a soil sample; s5, reseeding, wherein the ratio of the agropyron crocea to the astragalus adsurgens is (2.5-3.5): 1; according to the method, appropriate grass seeds and fertilizer bags are screened out according to the plant community conditions of the moderately-degenerated Coerquin grassland, reseeding and fertilization are carried out, and finally the moderately-degenerated Coerquin grassland monoennial plants, biennial plants, perennial gramineae, hybrid grass and perennial leguminous plants all grow, so that the yield of the Coerquin grassland is increased, the yield of the Coerquin grassland is increased, and the yield of the Coerquin grassland is increased. The pH value of the soil tends to be neutral, the total nitrogen content of the soil is increased through fertilization, and moderately degenerated Coilin grassland vegetation is recovered.
Owner:MENGCAO ECOLOGICAL ENVIRONMENT (GRP) CO LTD

A method and system for monitoring and predicting alpine grassland degradation

The present invention discloses a method and system for monitoring and predicting the degradation of alpine grasslands, which relates to the technical field of data processing. This method and system for monitoring and predicting the degradation of alpine grasslands determine the grazing monitoring areas and rodent hole monitoring areas of alpine grasslands based on the grazing monitoring data and rodent hole monitoring data of each monitoring area of alpine grasslands and the analysis of historical regional ground data of alpine grasslands; monitor the grazing monitoring areas and rodent hole monitoring areas of alpine grasslands to obtain the ground data of the selected monitoring areas; based on the meteorological altitude factors in alpine regions, analyze the data acquisition situations of multiple remote sensing devices, select the first-rank remote sensing representative data of alpine grasslands, and combine the ground data of the monitoring areas to evaluate the grassland vegetation conditions of the monitoring areas, so as to realize the prediction of the degradation of alpine grasslands. By comprehensively analyzing and predicting the grassland degradation situation, it is expected to improve the accuracy of alpine grassland degradation monitoring and provide a scientific basis for grassland resource management and protection.
Owner:INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI

Method for improving production performance of grazing Tan sheep by using ground-source feed

PendingCN121942631Aresolve the disconnectRealize coupling utilizationAnimal husbandryStipaGrassland degradation
The invention discloses a method for improving production performance of grazing Tan sheep by utilizing ground-source feed, and relates to the technical field of improvement of productivity of the grazing Tan sheep and reasonable utilization of natural grassland, and the method comprises the following steps: selecting grassland with community vegetation coverage of more than or equal to 60%, plant overground net primary productivity of more than or equal to 100g / m < 2 >, and taking stipa brachycarpa or desertleweed as dominant species as grazing grassland; setting a continuous grazing group, a continuous grazing and supplementary feeding corn granule group and a continuous grazing and supplementary feeding caragana microphylla granule group, and respectively measuring body weight gain dynamic data, grazing behavior data and body size index data of the Tan sheep in each treatment group; and respectively monitoring the grassland plant overground net primary productivity and species richness of each treatment group by adopting a quadrat determination method, and determining whether the plant overground net primary productivity of each treatment group is lower than a desert grassland degradation warning threshold value or not. Ground-source feed utilization, grazing parameter optimization and grass and livestock cooperative monitoring are combined, and grassland ecological safety can be ensured while the production performance of the grazing Tan sheep can be improved.
Owner:NINGXIA UNIVERSITY

A degraded grassland ecological restoration method and system based on ecological water demand inside and outside rivers and lakes

The application discloses a degraded grassland ecological restoration method and system based on ecological water demand inside and outside rivers and lakes, and comprises the following steps: conducting field investigation, analyzing the main characteristics of the degraded grassland to divide the degradation grade area, wherein the main characteristics include but are not limited to vegetation coverage, species diversity index and soil bulk density; carrying out ecological unit grid division based on terrain self-adaption; constructing a multi-objective function and constraint condition of the degraded grassland ecological restoration based on the ecological water demand inside and outside rivers and lakes according to water resource allocation, grassland restoration, grazing management and economic benefits; on the basis of the ecological water demand inside and outside rivers and lakes and in combination with the specific grassland degradation grade of the degraded area, the multi-objective function and the constraint condition are used to carry out restoration priority ranking, dynamic adjustment strategy and water resource dynamic adjustment, so that an optimal degraded grassland ecological restoration scheme is obtained; the application is a comprehensive ecological restoration scheme combining water resource utilization, ecological water demand, grazing management and economic benefits, and is helpful to promoting sustainable restoration of the grassland.
Owner:INNER MONGOLIA AGRICULTURAL UNIVERSITY

Livestock spatial distribution modeling method fusing ecological interference and time sequence clustering

PendingCN121030388AData processing applicationsEnsemble learningDraft animalsGrassland degradation
The invention discloses a livestock space distribution modeling method fusing ecological interference and time sequence clustering, and belongs to the technical field of livestock space management, and the method comprises the following steps: S1, collecting an annual AVI image of a region, and carrying out the supervised regression modeling based on AVI data and multi-source environmental factors, and predicting to obtain an annual PVI layer; s2, calculating an ecological interference index according to the difference between AVI and PVI, constructing a livestock distribution weight, and generating a preliminary livestock distribution map layer; and S3, based on the preliminary livestock distribution map layer, performing time sequence clustering and ecological partitioning, and constructing a high-precision livestock spatial distribution map layer based on supervised learning. The method can be widely applied to grassland degradation evaluation, ecological compensation calculation, climate response analysis, animal husbandry management and other scenes, and the scientificity and operability of related research and decision making are improved.
Owner:INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS

Method for monitoring degradation degree of alpine grassland based on image data

PendingCN121437484AImage analysisCharacter and pattern recognitionSample imageGrassland degradation
The invention discloses an alpine grassland degradation degree monitoring method based on image data, and relates to the technical field of alpine grassland degradation degree monitoring, and the method comprises the following steps: collecting image data of an alpine grassland with a known degradation degree as a sample image; converting the sample image into a processed image with high contrast; extracting surface features of the alpine grassland with different degradation degrees; analyzing color division intervals in the processed image according to the surface features, extracting greening features of the processed image, and analyzing a relationship between the greening features and the division intervals to obtain an interval calibration relationship equation; the degradation degree of the alpine grassland is calibrated according to the interval calibration relation equation; the method is used for solving the problem that an analysis result of the degradation degree of the alpine grassland has deviation due to the fact that an existing alpine grassland degradation degree monitoring technology cannot dynamically adjust judgment standards of different alpine grassland.
Owner:INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS

Degenerated grassland ecological restoration method and system based on ecological water demand inside and outside rivers and lakes

The invention discloses a degraded grassland ecological restoration method and system based on ecological water demand inside and outside rivers and lakes, and the method comprises the steps: carrying out field investigation, analyzing main characteristics of a degraded grassland, and carrying out degradation grade region division, the main characteristics including but not limited to vegetation coverage, species diversity index and soil bulk density; grid division of ecological units is carried out based on terrain self-adaption; according to water resource allocation, grassland restoration, grazing management and economic benefits, constructing a degraded grassland ecological restoration multi-objective function and constraint conditions based on ecological water demands inside and outside rivers and lakes; on the basis of ecological water demand inside and outside rivers and lakes, in combination with a specific grassland degradation level of a degradation area, according to a multi-objective function and constraint conditions, carrying out restoration priority ranking, dynamic adjustment strategy and water resource dynamic adjustment to obtain an optimal degraded grassland ecological restoration scheme; the method is a comprehensive ecological restoration scheme combining water resource utilization, ecological water demand, grazing management and economic benefits, and sustainable restoration of the grassland is promoted.
Owner:INNER MONGOLIA AGRICULTURAL UNIVERSITY

A method of rehabilitating a degraded grassland

The present application belongs to the field of grassland restoration, and discloses a kind of restoration method of degraded grassland, and the specific steps are 1) identifying the different sedimentary facies structure characteristics of vertical stratum in research area;2) the characteristics of grassland degradation indicator plant in research area are studied, and the degradation degree is divided;3) analysis of grassland degradation geological mechanism, including analysis of the influence of topography on the distribution of Stellera chamaejasme, and the synergistic or antagonistic main control factor of the influence of sedimentary facies change on the growth of indicator plant;4) construct the grassland degradation model based on the sedimentary facies constraint of similar habitat conditions based on the concept of geology;5) indoor grass seed screening based on drought resistance coefficient;6) demonstration area mixed planting tank planting, and the comprehensive management method of degraded grassland is proposed.The present application starts from the root of degraded grassland, based on the background condition of ecological geological environment, follows the principle of adapting measures to local conditions, scientifically selects suitable grass seeds, adheres to the correct support of artificial and the guidance of ecological system natural restoration, and ensures the minimum economic and environmental risk of ecological protection and restoration.
Owner:HEBEI GEO UNIVERSITY

Grassland degradation degree monitoring model and method based on remote sensing technology

The application discloses a grassland degradation degree monitoring model and method based on remote sensing technology, and belongs to the technical field of ecological environment monitoring. The method comprises the following steps: step 1, constructing a multi-scale remote sensing data set consistent in time and space, and combining ground measured data to establish a high-precision true value library of grassland types and degradation degrees; step 2, constructing a remote sensing index system suitable for different spatial scales; step 3, identifying key scale conversion nodes of grassland degradation driven by climate and human factors; step 4, realizing grassland degradation degree grading from a pixel scale to a landscape scale, and quantitatively analyzing the spatial distribution, area change and spatio-temporal evolution trend of each degradation grade; step 5, realizing reliable conversion and up-down transmission of analysis results of different scales to generate comprehensive grassland degradation monitoring results; and step 6, automatically generating differentiated management strategies and outputting a grassland degradation grade distribution map, a driving force analysis map, a risk early warning map and a partition management suggestion map.
Owner:INNER MONGOLIA UNIVERSITY

A method for ecological restoration of caragana planting based on remote sensing and intelligent monitoring

The present application relates to the technical field of ecological restoration, and more particularly to a caragana laying ecological restoration method based on remote sensing and intelligent monitoring. The method comprises the following steps: obtaining multispectral remote sensing images and ground survey data of the target grassland, and extracting vegetation coverage, soil erosion intensity and surface roughness; evaluating the degradation degree of the target grassland according to the vegetation coverage, soil erosion intensity and surface roughness, and determining the grassland degradation zoning map; determining the caragana laying parameters based on the grassland degradation zoning map; leveling and cleaning the target grassland; laying caragana on the pretreated target grassland surface according to the caragana laying parameters, and collecting monitoring images of the laying area in the target grassland by using a UAV at a preset period. The present application can accurately identify the degradation level and spatial difference of the grassland, thereby providing scientific and reasonable parameter settings for caragana laying, significantly improving the pertinence and effectiveness of the restoration measures, and optimizing the resource utilization efficiency.
Owner:INST OF WATER RESOURCES FOR PASTERAL AREA MINIST OF WATER RESOURCES P R C

Early warning method and system for grassland degradation

The invention discloses a grassland degradation early warning method and system, and relates to the field of grassland degradation early warning, and the method comprises the steps: carrying out the recognition of vegetation in a monitoring region, and obtaining the vegetation type data; comparing the environmental demand data of various vegetations based on the vegetation category data, determining an environmental difference item of the vegetation category, and determining a growth relationship of the vegetations in the grassland degradation environment according to the environmental difference item; performing vegetation category proportion judgment on the acquired data based on the vegetation category to obtain proportion data, and determining whether the data acquired by the sampling point is valid based on the proportion data; when it is judged that the collected data is valid, the monitoring area is continuously monitored based on the proportion data and the growth relation, whether the grassland in the monitoring area is degraded or not is judged according to the corresponding situation between the data change of the proportion data under continuous monitoring and the growth relation, and a corresponding early warning signal is output according to the judgment result. The method has the effect of improving the early warning accuracy of grassland degradation.
Owner:KUNMING COMPREHENSIVE NATURAL RESOURCES SURVEY CENT OF CHINA GEOLOGICAL SURVEY

A method of monitoring grassland degradation in fusion with animal activity

The application discloses a kind of grassland degradation monitoring methods of fusing animal activity, it is related to grassland ecological degradation monitoring technical field, in target area deployment multi-source sensor and animal activity tracking equipment, continuously collect vegetation, soil and in-situ monitoring data of animal activity;Preliminary cleaning and fusion are carried out to in-situ monitoring data by end side equipment, and after compression, it is uploaded to cloud end;In cloud end, integrate multi-time remote sensing image data, generate regional remote sensing-monitoring space-time data set.The application is through end cloud cooperation architecture, in target area deployment multi-source sensor and animal activity tracking equipment, continuously collect vegetation, soil and animal activity data, and combine multi-time remote sensing image, generate regional remote sensing-monitoring space-time data set, effectively solve the problem of discontinuous time-space data in traditional monitoring method, can capture the dynamic process of grassland degradation, provide continuous and consistent monitoring result on space-time, provide data basis for accurate evaluation of grassland degradation degree.
Owner:BAICHENG ANIMAL HUSBANDRY SCI RES INST

Dual-mode ploughing and grass seed sowing all-in-one machine

The utility model relates to the technical field of agricultural machinery, and discloses a dual-mode ploughing and grass seed sowing all-in-one machine, a rotary tillage mechanism comprises a plurality of rotary tillage cutter groups consisting of first rotary tillage cutters, second rotary tillage cutters and third rotary tillage cutters, and the tail ends of the rotary tillage cutters are sleeved on a rotating shaft through rotary tillage cutter handles; the third rotary blade is fixedly connected with the rotating shaft through a fixed rotary blade handle, the movable rotary blade handles of the first rotary blade and the second rotary blade are respectively connected with a push plate to achieve linkage, the ends of the push plates are matched with arc-shaped holes in a supporting disc through sliding shafts, and the outer ends of one set of sliding shafts are connected with the output end of a dual-mode switching mechanism. The dual-mode switching mechanism achieves mode switching through a gear mechanism, a clamping groove is formed in the movable knife handle, a telescopic clamping block is arranged in the rotating shaft, and the clamping block is connected with the clamping groove in a clamped mode to achieve mode locking. Through dual-mode switching, the treatment requirements of sand-covered grassland, eroded grassland and moderately degraded grassland can be met at the same time, and the diversified grassland degradation phenomenon can be effectively dealt with.
Owner:LIAOCHENG UNIV

Grassland degradation grade diagnosis and restoration system based on AI image recognition

PendingCN121582874ACharacter and pattern recognitionProcess engineeringGrassland degradation
The invention relates to the technical field of grassland degradation restoration, and discloses a grassland degradation grade diagnosis and restoration system based on AI image recognition, and the system comprises an acquisition module which is configured to acquire image data of a to-be-monitored grassland, analyze the image data, and determine a degradation evaluation value of the to-be-monitored grassland based on an analysis result; the judgment module is configured to collect a preset ecological index of the to-be-monitored grassland and judge whether to adjust the degradation evaluation value or not according to the preset ecological index; the adjusting module is configured to determine an adjusting coefficient of the degradation evaluation value based on the rhizome density and obtain a degradation evaluation final value; the grade diagnosis module is configured to determine the degradation grade of the to-be-monitored grassland according to the degradation evaluation final value; and the restoration module is configured to determine a restoration strategy of the to-be-monitored grassland according to the degradation level. By combining the AI image recognition technology, the system can efficiently and accurately diagnose and repair the grassland degradation problem.
Owner:SHENYANG INST OF APPL ECOLOGY CHINESE ACAD OF SCI

A Method and System for Diagnostic of Secondary Degradation of Alpine Grasslands Based on Multi-Source Data

PendingCN122336561APerimetriesEngineering
This invention relates to the field of UAV image processing technology, specifically to a method and system for diagnosing secondary degradation of alpine grasslands based on multi-source data. Existing technologies suffer from the following drawbacks: low image processing accuracy, large data processing errors, and a lack of spatiotemporal comparability. To address these shortcomings, this invention first acquires images using the hypotenuse target method and calculates the modulation transfer function characteristic parameters to construct a multi-scale Gaussian space. An adaptive threshold algorithm is used to determine and fix thresholds, achieving binarization of the multi-scale images. Connected components meeting certain conditions are extracted from the binary images at each scale, and their directional robust perimeters are calculated, forming a perimeter sequence. Based on the perimeter sequence, a logarithmic scale-perimeter curve is established, and the second derivative is calculated to determine the collapse scale and standard scale, calculating the geometric features of the connected components. Combining degradation judgment thresholds and proportional constraints, crack-type early degradation patches satisfying the condition with the maximum negative second-order curvature are identified, achieving automatic identification of secondary grassland degradation.
Owner:NORTHWEST INST OF PLATEAU BIOLOGY CHINESE ACAD OF SCI

Method and device for remote sensing prediction of natural grassland forage requirement

The application discloses a natural grassland forage demand remote sensing prediction method and a remote sensing prediction device. The prediction method comprises obtaining daily forage intake according to existing aboveground biomass of grassland and potential aboveground biomass of grassland; and obtaining forage demand prediction results in a future preset period according to the daily forage intake, the potential aboveground biomass of grassland in the future preset period and a reasonable utilization rate of the natural grassland. The natural grassland forage demand remote sensing prediction method can effectively predict the forage demand of the natural grassland by accurately calculating the daily forage intake of the natural grassland and the total amount of edible forage in the future preset period; and can ensure the reasonable utilization of forage resources, avoid grassland degradation caused by excessive grazing, and maximize the production potential of the grassland through dynamic scientific evaluation of the forage demand of the grassland.
Owner:INSTITUTE OF GRASSLAND RESEARCH OF CAAS

Preparation method and application of degraded high and cold steppe ecological restoration matrix based on sludge freeze thawing treatment

The invention discloses a preparation method and application of a degraded high-cold steppe ecological restoration matrix based on sludge freeze thawing treatment, and relates to the technical field of ecological restoration of degraded high-cold steppe soil. The complex ecological problems of felt layer denudation, soil desertification and the like in the high and cold grassland degradation area are solved. The preparation method of the ecological restoration matrix comprises the following steps: pre-treating part of the raw materials; then mixing the pretreated sludge, the crushed highland barley straw, the crushed weathered coal, the decomposed animal manure, bentonite and polyaluminum chloride at a certain rotating speed to form a homogeneous mixture; then adding a cold-resistant complex microbial inoculant into the mixture; and finally, carrying out programmed freezing and thawing treatment on the obtained mixed material. According to the invention, through synergistic proportioning of multiple components and a natural freezing and thawing strengthening process, the structural stability, the water and fertilizer retention capability and the nutrient slow release performance are remarkably improved, so that vegetation recovery and soil improvement of the high and cold degraded grassland are effectively promoted.
Owner:QINGDAO UNIV OF TECH

Grassland degradation risk assessment model construction method and system

The invention discloses a grassland degradation risk assessment model construction method and system, and relates to the field of data processing methods specially suitable for administrative, commercial, financial, management, supervision or prediction purposes, in the method, grassland degradation assessment index data are calculated based on remote sensing image data; calculating grassland degradation risk label values in one-to-one correspondence with the ground quadrats based on the plurality of ground evaluation indexes; grassland degradation remote sensing evaluation index data of pixels corresponding to the geographic positions of the ground quadrats are used as input features X of a Bayesian model; taking the grassland degradation risk label value corresponding to each ground quadrat as a training label Y of a Bayesian model; and training the Bayesian model through the input feature X and the training label Y to obtain a grassland degradation risk assessment model. The method is used for constructing a grassland degradation risk assessment model adopting more comprehensive monitoring data so as to improve the accuracy of grassland degradation risk prediction.
Owner:BEIJING SHANHAICHUSHI INFORMATION TECH CO LTD

A grassland degradation monitoring method based on remote sensing monitoring

The application discloses a grassland degradation monitoring method based on remote sensing monitoring, comprising: acquiring multi-source remote sensing data; preprocessing the multi-source remote sensing data to obtain preprocessed remote sensing data; extracting multi-dimensional feature parameters based on the preprocessed remote sensing data to obtain a multi-dimensional feature parameter set; performing time sequence analysis on vegetation dynamic characteristics, soil dynamic characteristics and human disturbance characteristics by combining multi-time observation data through the multi-dimensional feature parameter set to construct a dynamic characteristic time sequence data set; performing deep fusion on spatial features and time sequence changes in the time sequence by using a convolutional neural network model according to the dynamic characteristic time sequence data set to generate a spatio-temporal fusion feature set; obtaining a degradation grade division result map according to the spatio-temporal fusion feature set; integrating multi-source remote sensing data based on the degradation grade division result map to obtain a refined grassland degradation evaluation result, and monitoring grassland degradation according to the evaluation result.
Owner:INSTITUTE OF GRASSLAND RESEARCH OF CAAS