280 results about "Arid zone" patented technology

The invention provides an intelligent ecological restoration system, method and device for a high and steep slope of a strip mine in an arid region. Comprising a data acquisition layer which realizes real-time acquisition of multi-dimensional environmental data through InSAR satellite remote sensing, a ground sensor network and unmanned aerial vehicle multispectral imaging; the transmission layer adopts LoRa and 5G hybrid networking; the platform layer is used for constructing a slope stability prediction and restoration scheme optimization platform based on a digital twinborn model and a deep learning algorithm; and the application layer is used for remotely controlling the repairing device through a mobile terminal and a Web terminal and monitoring the repairing progress in real time. The problems that a traditional restoration technology is poor in adaptability, low in vegetation survival rate, high in ecological restoration cost, insufficient in monitoring technology application, insufficient in monitoring feedback mechanism, insufficient in intelligence, long in ecological restoration period and the like are solved.

The invention provides a wheat drought disaster remote sensing monitoring and evaluation method in a flowering period, and relates to the technical field of agricultural disaster early warning. Remote sensing image data is collected based on an unmanned aerial vehicle, and a normalized vegetation index, an enhanced vegetation index and a soil moisture index are generated by extracting multispectral reflectivity in the wheat flowering period; generating a comprehensive remote sensing index, establishing a time sequence set, setting time windows in the time sequence set, calculating a change rate of each window, setting a threshold value, identifying a potential drought region, and generating a drought influence index by analyzing drought duration and an image range; finally, a drought influence threshold value is generated in combination with historical data to judge the drought condition of the current monitoring area.

The invention discloses a construction method for governing and repairing desertification degraded grassland in an arid area, and relates to the technical field of sand governing. The method comprises the following steps: evaluating a native vegetation type, vegetation coverage, a soil degradation and desertification degree, a soil type and a water resource condition; performing classified measures according to natural conditions, and determining different types of dune (flowing, fixed or semi-fixed) treatment measures; construction preparation; grid sand barriers are laid on the windward sides of the moving dunes and the semi-fixed dunes, and sand stabilization operation is conducted in a mechanical and manual combined mode; digging pits to plant indigenous shrubs subjected to special treatment, and using rooting water retention bags to improve the survival rate; the granular organic fertilizer and the seeds are mixed and stirred according to a certain proportion and then sown into soil at a time, the operation frequency is reduced, and precise fertilization is achieved. Through effective sand prevention and control measures, the sand wind damage is reduced, the living environment of farmers and herdsmen is protected, and the living quality is improved.

The invention relates to the technical field of ecological protection, and discloses a method for evaluating the stability of an ecological system in an arid region, which comprises the following steps: S1, constructing an index system, S2, performing multi-source remote sensing fusion, S3, performing response modeling on the ecological system, and S4, constructing a stability evaluation matrix in a sensitivity dimension; the method comprises the following steps: S1, constructing four-quadrant stability classification to carry out index weighting, S5, intelligently collecting ground sample points, and then combining an ecological change hot area graph, S6, carrying out model dynamic feedback optimization, and S7, outputting a result and carrying out zoning application, namely dividing a key protection and restoration area and supporting regional ecological safety pattern construction and continuous management. Through fusion of remote sensing data and intelligent acquisition and analysis of ground samples, dynamic updating and real-time monitoring of stability evaluation of the ecological system in the arid region are realized, and the effects of accurately reflecting ecological changes and providing efficient and timely data support for decision makers are obtained.

The invention discloses an arid region lake basin water environment bearing capacity evaluation and prediction system, and relates to the technical field of lake drought early warning. A training data collection module is arranged to collect historical meteorological data, historical water level label data, historical meteorological characteristic data and historical drought duration label data; a training sample construction module is set to construct a plurality of lake water level training samples and a plurality of drought duration training samples, a model training module is set to train a water level sequence prediction model and a drought duration prediction model, and a bearing capacity prediction module is set to output future drought duration based on future meteorological characteristic data and the drought duration prediction model. Outputting a future lake water level sequence based on the future meteorological data, the future drought duration, the water level sequence prediction model and the real-time lake water level, and performing early warning on the lake bearing capacity based on the future lake water level sequence; and the prediction accuracy of lake water level change and drought occurrence is improved.

The invention relates to the field of arid region oasis ecological protection, and discloses an arid region oasis protective barrier construction pattern and plant species configuration method, according to the characteristics of the arid region oasis structure, a protective barrier is laid, and according to the habits, uses and morphological characteristics of plants and the functional difference of different plants, the arid region oasis protective barrier construction pattern is constructed. Proper arbor, shrub and herbaceous plant configuration is carried out, and the method comprises the steps that a photovoltaic, mechanical sand stabilization and shrub and grass sand blocking belt is constructed in the edge zone of the desert, a windproof backbone forest is arranged at the junction of the desert and the oasis, forest network construction is carried out in a farmland area in the oasis, and greening and beautifying are carried out on the periphery and the interior of a residential area. By constructing a multi-layer and multifunctional oasis protection barrier system, desertification control and oasis protection system construction are achieved, regional economic development and biodiversity recovery are promoted, and the win-win situation of ecological benefits and economic benefits is achieved.

The invention discloses a high and cold arid region slope soil stability safety risk evaluation system and method, and relates to the technical field of slope engineering. The state of each side slope under multi-dimensional indexes such as freeze-thaw cycle frequency, dry-wet alternation index, wind erosion strength, shear strength, water content, porosity and fracture density is quantified, the feature similarity between any two side slopes is calculated, and then a side slope feature similarity matrix is formed. Based on the matrix, an unsupervised clustering algorithm (such as spectral clustering, similarity propagation and the like) can be adopted to divide a plurality of side slopes into similar subsets with structural characteristics similar to environmental response, and category attribution of risks is achieved. On the basis, structural variation analysis, historical instability statistics and central risk difference extraction are performed on similar slope samples, so that the internal instability tendency of the slope can be identified, and a risk prediction model suitable for the type of slope can be constructed through feature training.

The invention relates to the field of agricultural water resource management, in particular to a method, device and equipment for estimating irrigation water consumption and canal system water utilization efficiency, and the method comprises the steps: screening extreme meteorological and hydrological data meeting extreme rainfall scene conditions from historical meteorological data and hydrological data, calculating label data representing moisture storage and discharge capacity of an underground water change zone by combining net exchange flux at a deep soil boundary in an extreme rainfall scene, and constructing a space-time variable specific yield estimation model by combining a machine learning algorithm based on dynamic nonlinear influence and spatial heterogeneity of the extreme rainfall scene on soil moisture; training a specific yield estimation model by using the data set carrying the label data; and based on the dynamic similar characteristics of the soil moisture in the extreme rainfall scene and the irrigation scene, migrating the trained specific yield estimation model to the irrigation scene so as to estimate the irrigation water consumption and the canal system water utilization efficiency. Therefore, the problem of how to improve the parameter accuracy of the arid region is solved.

The invention provides a comprehensive desertification prevention and control system for an arid region, and relates to the technical field of environmental governance, the comprehensive desertification prevention and control system comprises a sand blocking unit, a straw grid unit, a vegetation unit and a biological crust layer unit, and the sand blocking unit is arranged on the same side of the vegetation unit, the straw grid unit and the biological crust layer unit and located in the windward direction; the straw grid units are arranged around the vegetation units, the biological crust layer units are arranged in an area defined by the straw grid units and cover the earth surface, and the biological crust layer units are arranged around the vegetation units. The desertification prevention and control effect is improved by selecting shrub types with high hydraulic safety and low growth rate and combining physical and biological skinning technologies.

The invention provides an arid region saline-alkali soil treatment method which comprises the following steps: step 1, region division: dividing saline-alkali soil into a planting region and a saline-alkali water collection and treatment region; 2, a planting area is constructed, the planting area is composed of an original layer, a first water drainage and salt guide layer, an air permeation prevention layer, a second water drainage and salt guide layer and a planting layer from bottom to top, the air permeation prevention layer can prevent salt from ascending, and the water drainage and salt guide layer can drain saline-alkaline water in soil; and step 3, constructing a saline-alkaline water collection and treatment area, and performing filtration and electro-adsorption salt reduction on the collected saline-alkaline water to realize recycling of the saline-alkaline water. Layered improvement of the planting area is combined with an integrated structure of saline-alkali water collection, ion adsorption and storage, the salt content of soil is reduced, the nutrient content of the soil is increased, and all-round treatment and utilization of'blocking ', 'discharging', 'treating 'and'using' of the saline-alkali water are achieved.

The invention discloses a green three-dimensional planting system for promoting agricultural economic development in an arid region. The green three-dimensional planting system comprises a climate adaptation module; the weather prediction module is responsible for providing weather change prediction; the crop selection and crop rotation module is responsible for selecting suitable drought-enduring crops and implementing scientific crop rotation; the three-dimensional planting structure module is responsible for designing a reasonable three-dimensional planting framework according to the selected drought-enduring crops; the soil improvement module is responsible for adding an organic fertilizer and a modifier and improving the soil moisture retention capability; according to the invention, through weather prediction information provided by the climate adaptation module, the system can predictively adjust an irrigation strategy, and insufficient or excessive irrigation caused by sudden weather change is avoided. The intelligent irrigation module is combined with a neural network algorithm, the irrigation amount and time are accurately calculated and automatically adjusted according to the real-time meteorological data, the drought-enduring crop characteristics, the three-dimensional planting architecture and the soil improvement condition, accurate control over irrigation is achieved, and the utilization efficiency of water resources is remarkably improved.

The invention provides a method suitable for water retention of soil with different textures. In order to better perform size matching between the biochar and soil particles, particle size grading is performed on the biochar according to the size of soil aggregates, and three kinds of biochar with the particle size larger than 2.0 mm, the particle size ranging from 0.25 mm to 2.0 mm and the particle size smaller than 0.25 mm are obtained. The three kinds of biochar with different particle sizes are used in different types of soil respectively, and 5% of biochar with the particle size of 0.25-2.0 mm is selectively applied according to the water retention requirement of the arid area loam farmland; according to the drainage requirements of loam waterlogging areas with more rainfall, 5% of biochar with the particle size larger than 2.0 mm is selectively applied; and 5% of biochar with the particle size smaller than 0.25 mm is selectively applied for water and soil conservation of sandy soil in the arid region. By scientifically regulating and controlling the particle size and the application amount of the biochar, the biochar is matched with the specific properties of the soil, so that the water retention capacity of the soil is improved, and the soil efficiency is improved.

The invention discloses a drought disaster risk quantitative assessment method fusing an irrigation disaster reduction effect, and belongs to the field of disaster risk assessment, and the method comprises the steps: obtaining different meteorological data of a target region in a three-dimensional space grid scale, and calculating a drought index; a drought event is identified by using an ST-KMeans clustering method; drought events are screened and combined, the space overlapping degree of the clustered drought region and the historical disaster region is calculated, and risk loss data docking is carried out; generating a drought event characteristic dynamic data set, and measuring the drought event; and in combination with the land coverage and utilization data of the target area and the farmland irrigation area data, extracting irrigation response information serving as a drought adaptability measure, and carrying out irrigation disaster reduction capability quantification and risk assessment. According to the method, irrigation information can be integrated on the basis of drought event identification, the drought slow release effect of irrigation in different time and space scales is quantitatively evaluated, and a scientific basis is provided for drought disaster risk management and agricultural adaptability policies.

The invention discloses an arid region groundwater reserve estimation method and system based on multi-source remote sensing data, and relates to the technical field of groundwater monitoring, and the method comprises the steps: collecting land water reserve data and remote sensing image data of a target arid region, obtaining a land water reserve change sequence according to the land water reserve data, carrying out the region weighting of the target arid region, and obtaining a target arid region groundwater reserve change sequence; obtaining a land water reserve change sequence of the target arid region; based on the remote sensing image data of the target arid region, using a digital elevation model to obtain a surface water reserve change sequence of the target arid region, using a land surface process model to obtain a soil water reserve change sequence of the target arid region, and establishing an underground water reserve model of the target arid region; and performing error analysis on an output result of the groundwater reserve model by using a Monte Carlo simulation method. According to the method, through collaborative inversion of multi-source remote sensing data and integration of the groundwater reserve models, accurate quantification of spatial-temporal dynamic of the groundwater reserves in the arid region is realized.

The invention discloses an ecological restoration method for salinized land in a semi-arid region based on a natural solution. The ecological restoration method comprises the following steps: S1, defining a plurality of ecological restoration regions; s2, planting plants; in each ecological restoration area, high-layer plants are planted on a circle of the edge of the ecological restoration area, and a circle of middle-layer plants and a circle of low-layer plants are sequentially planted into the ecological restoration area; s3, arranging an ecological restoration area; according to the invention, an ecological restoration area with multi-layer plant distribution can be formed, the restoration and improvement of biodiversity are facilitated, and through the arrangement of the first groove, the sand barrier and the spacing between the first groove and the sand barrier, the purpose that seeds of plants in each layer stay in or near the first groove along with wind to achieve sowing and growth can be achieved in the subsequent year; multiple layers of plants along the first grooves are formed, the ecological restoration effect is enhanced, subsequent sowing through wind power is facilitated, and manual close planting is not needed any more.

The invention belongs to the technical field of strip mine dumping design and ecological restoration, and discloses a design method for a soil layer structure of an open pit coal mine dumping site in a western arid and semi-arid region. The invention aims to solve the problem of poor permeability of the viscous surface soil layer of the dumping site at present by optimizing the design of the soil layer structure of the open pit coal mine dumping site in the western arid and semi-arid region from bottom to top by taking low-cost industrial solid wastes as raw materials and designing a geologic structure of'water-resisting layer-water-bearing layer-surface soil layer '. And the later ecological reclamation of the waste dump is facilitated.

The utility model discloses an artificial breeding nest structure for breeding crayfishes in sandy soil in northwest arid regions, which is suitable for sandy soil water environment in northwest arid regions, and uses PVC (polyvinyl chloride) pipes as breeding pipes of the crayfishes, so that durability and corrosion resistance of a breeding device are guaranteed, and the breeding pipes have good light resistance and heat preservation. Circulating holes are further formed in the breeding pipes and used for helping water in the pipes to normally circulate, circulation of water bodies is ensured, water in the breeding pipes continuously flows, dissolved oxygen in the pipes is increased, a more suitable growth environment is created for the crayfishes, meanwhile, during breeding of the crayfishes, separated crayfish eggs can be collected through the breeding net, and the breeding efficiency is improved. The crayfish can be prevented from escaping all around, so that the economic loss is avoided; the product effectively solves the problems of a traditional nest in a sandy soil water body, improves the breeding efficiency and survival rate of the crayfish, and improves the production economic benefits of crayfish farmers in the northwest arid region to a certain extent.

The invention discloses a machine learning and multi-source variable-based high-precision prediction method for soil organic carbon in an arid region, and solves the problems of high spatial heterogeneity of soil organic carbon in the arid region and high traditional detection cost. The method comprises the following steps: collecting a soil sample by adopting layered random sampling, and integrating seven types of environmental variables such as climate, vegetation, terrain and remote sensing to construct a feature set; a Boruta algorithm is adopted for screening, an optimized feature set is obtained, and redundant data are eliminated; the method comprises the following steps: dividing a training set and a test set through Kolmogorov-Smirnov test; the method comprises the following steps of: generating 100 base models by using parameter optimized random forest and extreme gradient lifting double-model collaborative prediction and combining a Bootstrap integration strategy; inputting the target area optimization feature set to obtain an organic carbon prediction result; according to the method, the monitoring cost is effectively reduced, spatial-temporal dynamic inversion of soil organic carbon based on historical environment variables is supported, and a reliable technical scheme is provided for dynamic monitoring and ecological management of soil carbon.

The invention relates to the technical field of artificial intelligence, and discloses a gobi desert surface temperature prediction method based on deep learning. According to the method, a system architecture in which an acquisition end, a remote sensing end, an edge computing terminal and a central server cooperatively operate is constructed, and fusion and real-time transmission of multi-source observation data are realized. By designing a space-time neural network model fused with physical constraints, combining an angle-guided convolutional neural network and a gated cycle unit structure, and introducing surface energy balance and Stefan-Boltzmann radiation consistency constraints, high-precision prediction and physical consistency modeling of surface temperature are realized. And a cross-scale reconstruction and missing detection complementation mechanism is adopted, so that the spatial continuity and resolution of a prediction result are improved. According to the method, high-precision, stable and self-adaptive prediction of the surface temperature of the gobi desert area is realized, and intelligent support is provided for meteorological monitoring, ecological evaluation and early warning decision making of the arid area.

The invention provides an arid region natural vegetation ecological water demand quantitative calculation method based on a remote sensing evapotranspiration model, and the calculation method comprises the steps: collection of basic data of a research region, collection and processing of long time sequence satellite remote sensing data, regional actual evapotranspiration calculation based on a model set, and actual evapotranspiration evaluation and verification. The method comprises the steps of calculation of a regional reference evapotranspiration ratio, calculation of a natural vegetation blue water evapotranspiration amount, water balance-based natural vegetation blue water evapotranspiration correction, calculation of a natural vegetation blue water evapotranspiration coefficient and calculation of a natural vegetation ecological water demand amount. By adopting the method, accurate calculation of the ecological water demand of the natural vegetation in the arid region can be realized, and the method has practicability and operability of regional application; the method can serve the business application fields of arid region water resource management, ecological protection and restoration, basin water resource planning, water resource optimal configuration and the like.

The provided is a modeling method of tropospheric delay for arid-areas including sandy, gobi and desert regions based on GNSS. The modeling method incudes: obtaining a troposphere zenith hydrostatic delay ZHD and a troposphere zenith wet delay ZWD by utilizing a GPT-3 model, and summing to obtain a troposphere zenith total delay ZTD; inversely calculating the ZTD by utilizing a ground-based GNSS, obtaining a high-precision ZWD inversed by the GNSS by calculating a difference between the ZTD and the troposphere zenith hydrostatic delay ZHD obtained by a Saastamonien model, inversely calculating an atmospheric weighted average temperature T′m by utilizing an ERA5 data set, performing linear correction to obtain a corrected temperature Tmr, and calculating a priori value ZWD0 of the high-precision ZWD; and correcting the ZWD0, and adding the corrected ZWD0 with the ZHD to obtain a corrected value of the high-precision ZTD.

Provided is a method for determining a proper plant spacing for vegetation ecological restoration in an arid region. The method includes the following steps: step 1, acquiring soil parameters and soil water parameters in a survey region; step 2, determining vegetation parameters for the survey region; step 3, collecting hydrological data of the survey region; step 4, determining a transpiration of a dominant plant species in a vegetation community of the survey region; step 5, calculating a thickness of a shallow groundwater action layer in the survey region; step 6, determining a thickness of an available water absorption layer; step 7, determining a water content within the thickness of the available water absorption layer; and step 8, determining the proper plant spacing for a vegetation. The method can effectively solve the problem of desertification of oases in arid regions.

The invention discloses an arid region identification method based on a GRACE satellite, and the method comprises the steps: obtaining satellite remote sensing original data, carrying out the median filtering of the satellite remote sensing original data, and obtaining noise reduction data; complementing missing data for the noise reduction data to obtain complemented data; calculating a normalized vegetation index and a temperature vegetation drought index according to the complementation data to obtain a drought index; time sequence features are extracted according to the drought indexes, principal component analysis is carried out on the time sequence features, and comprehensive indexes are obtained; spatial clustering analysis is carried out on the comprehensive indexes, and target areas with similar drought characteristics are divided; calculating a topographic relief degree and a land utilization type proportion based on the target area in combination with the land utilization data and the topographic data; selecting a target area of which the topographic relief degree is greater than a preset threshold value, and performing topographic correction on the drought index of the selected target area to obtain a corrected drought index; and judging the drought grade of the target area according to the corrected drought index and the land utilization type ratio.

The invention belongs to the technical field of photovoltaic solar power station park rainfall irrigation, and discloses an arid area grassland photovoltaic system under-panel irrigation monitoring method, system and device. According to the method, a monitoring device is used for monitoring the soil humidity under a current arid area photovoltaic park (grassland photovoltaic system) panel in real time, and when the soil humidity is lower than a threshold value set by a user, the monitoring device starts a water suction pump to work through an internal processor; meanwhile, the monitoring device controls the opening degree and the opening and closing time of an intelligent switch electromagnetic valve additionally arranged on a tee joint or a four-way joint in the transverse pipe and longitudinal pipe connecting device; and the remote arid area grassland soil monitoring end performs comprehensive treatment according to the current soil humidity to obtain an optimal soil humidity and soil salinity and alkalinity combined value. The soil humidity around the drip irrigation opening of the underground drip irrigation pipeline can be monitored, the water suction pump is turned on and turned off through the monitoring center device, and the water utilization efficiency of vegetation of a grassland photovoltaic system in an arid region is improved.

The invention provides a remote sensing estimation method for high spatial-temporal resolution crop evapotranspiration in an arid and semi-arid region, which comprises the following steps of: acquiring cloudless or less-cloudless high spatial resolution optical remote sensing data of a crop growing season in a research region, and calculating or inverting remote sensing earth surface parameters required by high spatial resolution evapotranspiration; comprising a vegetation index NDVI, a leaf area index LAI, a vegetation coverage FVC, a surface water index LSWI and a surface albedo; the method comprises the following steps: acquiring meteorological reanalysis data of daily scales ERA5-Land and GLADAS of a research area, wherein the meteorological reanalysis data comprises relative humidity RH, average temperature Ta, air pressure Pa, solar short-wave radiation # imgabs0 #, downward long-wave radiation # imgabs1 # and upward long-wave radiation # imgabs2 #; according to the technical scheme, multi-source remote sensing data, an evapotranspiration physical model and a space-time fusion technology based on evapotranspiration characteristics are utilized, and estimation of high space-time resolution evapotranspiration of the arid and semi-arid agricultural areas is achieved.

A loess arid area power transmission and transformation project tower footing ecological restoration water supply device comprises an air suction part, a condensation part, a water storage bin, a moisture permeation assembly, an air humidity detector and a controller, the condensation part is arranged below the air suction part, the condensation part is communicated with the air suction part, the condensation part is communicated with the water storage bin, the moisture permeation assembly is arranged on the water storage bin, and the air humidity detector is arranged on the air humidity detector. The air humidity detector is installed on one side of the air suction part, the air humidity detector detects air humidity and generates corresponding current humidity data, when the controller judges that the current humidity data is larger than a preset air humidity threshold value, the controller controls the air suction part to suck air, the condensation part captures moisture in the air so as to obtain condensate water, and the condensate water is stored in the storage box. And the moisture permeation assembly is buried below the surface layer of the soil of the slope below the iron tower so as to ensure that the moisture content of the soil near the root system of the vegetation on the slope below the iron tower meets the root system growth requirement of the vegetation. The invention further provides a loess arid area power transmission and transformation project tower footing ecological restoration water supply method.

The invention discloses a semi-arid region degraded wetland close-to-nature recovery method for slow-release water consumption conflict, belongs to the technical field of wetland ecological engineering, and solves the restrictive problems of prominent water consumption conflict and low wetland close-to-nature sustainable recovery efficiency in the collaborative development process of agricultural production and wetland recovery in a semi-arid region. The method comprises the following steps: 1, recovering wetland site selection and farmland water quantity accounting; 2, constructing an ecological water delivery network; 3, quantitatively blending farmland recession; 4, seed resource bionic introduction; 5, water resources are distributed in a timed and targeted mode; and sixthly, water resources are stored, monitored and evaluated in a staggered mode. The method is used for near-natural recovery of the degraded wetland in the semi-arid region on the premise of slow-release water conflict.

The invention discloses a risk dynamic analysis method for a vegetation phenological period in an arid region, and the method comprises the steps: constructing a spring phenological model and an autumn phenological model in different partitions according to the partitions of different growth season initial periods SOS and growth season final periods EOS of plants in the arid region; respectively calculating vegetation growth risk coefficients of different growth season initial stage SOS partitions and growth season final stage EOS partitions; carrying out weight fusion on the vegetation growth risk coefficients to obtain a long-period vegetation growth risk comprehensive coefficient F in the arid region; calculating an ecological groundwater drought risk coefficient; calculating a vegetation risk dynamic coefficient of the arid region; and evaluating the growth risk of the vegetation in the arid region in the phenological period. According to the method, the drought risk influence coefficient is comprehensively calculated by utilizing representative feature data corresponding to different subareas and phenological areas, and comprehensive analysis of vegetation risk assessment in the arid area is realized by combining the ecological underground water drought risk coefficient on the annual scale.

The invention discloses a soil conservation service assessment method and system for arid and semi-arid regions, and relates to the technical field of ecological service assessment. The method comprises the following steps: calculating a soil conservation value under the influence of water erosion according to evaluation data of a target area and a RUSLE model; calculating a soil conservation value under the influence of wind erosion according to the evaluation data and an RWEQ model; and adding the soil conservation value under the water erosion influence and the soil conservation value under the wind erosion influence to obtain the soil conservation value of the arid and semi-arid area of the target area under the simultaneous influence of the water erosion and the wind erosion. The evaluation accuracy of the soil conservation service of the target area can be improved.

The invention belongs to the field of remote sensing technology application, mainly aims at three typical grassland ecological system types of desert, grassland and meadow in an arid region, and discloses a grassland ecological health four-dimensional quantitative evaluation method based on multi-source remote sensing data. Comprising the following steps: S1, data fusion and long-time-sequence base construction: aiming at three typical grassland ecosystems of desert, grassland and meadow in an arid region, integrating long-time-sequence multi-source remote sensing images and auxiliary environment observation data, and reconstructing a model through a space-time fusion algorithm and missing data; and constructing a long-time-sequence multi-dimensional raster data set which is consistent in spatial resolution and covers non-biological background conditions. According to the system, accurate evaluation of long-time-sequence comprehensive conditions of different typical grassland types in the arid region is realized, the input information dimension and quality of the evaluation model are remarkably improved, and the ecological health problem is innovatively and accurately diagnosed from the deficiency of system bases, functional vitality, structural tissues or stress resistance recovery capability on the spatio-temporal scale.