102 results about "Land use" patented technology

This invention relates to the field of ecological environment management technology, specifically disclosing a refined method and system for visualizing regional vegetation carbon sequestration. The method includes: extracting land use types of a target area based on remote sensing data of land use types and biomass; determining forest areas based on land use types and establishing growth curves for the forest areas based on preset fitting curves; calculating the carbon sequestration amount of the forest areas based on the growth curves and determining the carbon sequestration ratio of different forest areas; allocating the total carbon sequestration amount to different sub-regions of the target area based on the carbon sequestration ratios, and visually converting the allocated target areas. This invention first selects a target area, calculates the carbon sequestration amount based on the forest areas within the target area, then redistributes the carbon sequestration to different areas according to land use types, and visualizes the redistribution results, facilitating the management of the area.

This invention relates to a snowmelt flood prediction method and system based on a physical information neural network, specifically in the field of snowmelt flood prediction. By embedding physical constraints such as shallow water equations and energy conservation equations into the neural network model, the accuracy and stability of prediction are improved while maintaining physical consistency. It can effectively compensate for the shortcomings of traditional empirical models in terms of spatiotemporal continuity and generalization under extreme scenarios. At the application level, this invention can realize the fully automated operation of the entire process from meteorological data input, snowmelt and runoff calculation, flood evolution prediction to risk level assessment. The system can output multi-time step water depth, flow velocity and inundation range results based on real-time or forecast meteorological conditions, and combine them with population density, land use and infrastructure distribution data to generate flood risk zoning maps and early warning information, providing a scientific basis for watershed flood control scheduling, engineering design and disaster emergency management.

The application relates to a smart city-based urban planning decision feasibility analysis system, aiming to solve the problems of experience dominance, static solidification, appeal imbalance and technology isolation in traditional urban planning. The system includes four modules: data collection, algorithm processing, decision output and dynamic optimization. The data collection module dynamically collects urban basic space, dynamic monitoring, industry and livelihood data and completes preprocessing; the algorithm processing module realizes spatial structure quantization, resource allocation optimization, planning risk assessment and dynamic feasibility prediction; the decision output module generates a planning scheme containing land use layout, energy configuration and public service facility distribution parameters; the dynamic optimization module updates and threshold triggering mechanism, iteratively adjusts the planning scheme. The system is suitable for new area planning and stock area renovation scenarios, realizes the transformation of planning decision, and improves the scientificity and landing effect of planning decision.

The application relates to a soil erosion risk assessment method, which comprehensively considers the influence of vegetation, land use, topography and rainfall and other factors on soil erosion by acquiring multi-source ecological data of each grid area in a target area. First, the vegetation coverage is determined according to the vegetation index, and the initial erosion risk level is determined in combination with the land use type to evaluate the basic erosion risk under different land use types and vegetation coverage conditions. Then, the risk correction parameters are determined by using the terrain slope and rainfall data to correct the initial erosion risk level, and the comprehensive erosion risk level is obtained to more accurately reflect the actual erosion risk. Then, the sensitive coefficient is introduced, the management priority index is calculated in combination with the comprehensive erosion risk level, and the erosion sensitivity difference of different land types is fully considered. Finally, the management priority of each grid area is determined according to the management priority index, and a scientific and reasonable decision basis is provided for soil erosion management.

This application relates to the field of land use selection technology, and provides a land use selection method and related equipment. The method includes: acquiring a regional map of a target area and extracting multiple land parcels from the regional map; aggregating all land parcels to obtain multiple candidate land parcels, and acquiring spatial information for each candidate land parcel; calculating a selection score for each candidate land parcel based on user location requirements and the spatial information of all candidate land parcels; and determining the final selected land parcel from all candidate land parcels based on all selection scores. The method of this application can improve the rationality of land use selection.

The application discloses a natural ecosystem authenticity determination method and device, relates to the technical field of ecological evaluation, and comprises the following steps: acquiring land use data of a research area, and calculating an ecological structure authenticity index; identifying a natural reference area based on ecological environment zoning and the ecological structure authenticity index; acquiring ecosystem service data, and calculating an ecological process authenticity index and an ecological function authenticity index based on the natural reference area; acquiring species distribution data, and calculating a biological and indicator species authenticity index; acquiring human activity data, and calculating a human disturbance intensity index; and finally, normalizing and weightedly fusing the indexes to obtain a natural ecosystem authenticity comprehensive index. The application solves the problems of single dimension, neglect of regional natural benchmark differences and lack of a multi-factor comprehensive framework of the existing evaluation method, and significantly improves the scientific nature of natural reserve management.

The application discloses a kind of war destruction global evaluation method based on multi-source remote sensing data, can realize the spatio-temporal continuous monitoring and evaluation of large-scale regional war destruction.It includes the following steps: obtaining and preprocessing land use, NPP-VIIRS night light, multispectral image and surface temperature and other multi-source remote sensing data;Using local optimal threshold method to extract built-up area boundary;Based on total value of night light and light ratio index, using spatio-temporal cumulative calculation method to represent the spatio-temporal evolution characteristics of armed conflict in built-up area;Through principal component analysis method, build non-built-up area war damage index, and reveal the evolution trend and spatial differentiation of non-built-up area armed conflict based on spatio-temporal analysis method.The method of the application can effectively depict the spatio-temporal characteristics of war destruction, has the advantages of global coverage, time sequence integrity, high resolution, and can provide scientific decision support for humanitarian aid and post-war reconstruction planning in conflict area.

This invention discloses a production method for preparing artificial land using various types of stones, a complete technology for preparing artificial soil through on-site crushing and application to the comprehensive transformation of national land. This invention employs on-site mobile processing, avoiding transportation costs. A single unit can produce soil for 1500 mu (approximately 100 hectares) annually, with a standard farmland cost of only 2658 yuan per mu, and the cost of remediating polluted farmland not exceeding 10,000 yuan per mu. The produced soil has a thickness of 33.3 cm, does not compact, and has extremely high water retention; even after 10 days at high temperatures, the moisture content of the lower layer still reaches 70%. Heavy metal content in the soil and agricultural products is far below national standards, mercury was not detected, and it is safe to grow all grains and vegetables. This invention can be applied on a large scale to the remediation of polluted farmland and the enhancement of carbon sequestration in industrial areas. It can rapidly increase soil carbon sequestration, lower temperatures, and transform ineffective rocky land into high-yield farmland, completely solving global problems such as the extremely slow formation, rapid loss, non-renewability, arable land shortage, and global warming of natural soils. One-time transformation benefits millennia, possessing extremely high economic, ecological, and social value.

This invention provides a computer vision-based method for optimizing and intelligently monitoring urban flooding simulation, belonging to the field of flood model monitoring technology. The method includes: determining the study area and establishing a one-dimensional hydrodynamic model of the water network based on initial modeling data; using computer vision, segmenting and extracting land use data of the study area using the SegNet and U-Net algorithms, reshaping the underlying surface, constructing new land use data, and calculating new uncertainty parameters; comparing and analyzing the performance of the one-dimensional hydrodynamic model before and after updating the uncertainty parameters; and constructing a one- or two-dimensional surface coupling model combining the integrated flood forecasting model ITF-FLOOD with land surface flux. This one- or two-dimensional surface coupling model is used to simulate the depth and area of ​​surface water accumulation within the study area, completing the optimization and intelligent monitoring of urban flooding simulation. This invention can improve the simulation accuracy of urban flooding models and provide a more intelligent and convenient monitoring method for flood-prone areas.

The present application relates to the analysis method of the population dynamics of wetland water birds and habitat quality. The method analyzes the population dynamics of birds based on the historical cumulative data of the target wetland and the bird data obtained by field investigation, and analyzes the habitat quality of key ecological environment indicator bird species based on the land use data of the location of the target wetland and the main ecological threat factors, so as to provide a scientific basis for the habitat protection and management of wetland birds.

The application relates to the technical field of land planning and design and evaluation, and discloses a land space low-efficiency land digital planning method based on an improved comprehensive evaluation, which comprises the following steps: extracting features of time sequence data of crowd flow based on land information of land use, and generating land space utilization rate evaluation indexes; adopting a time-space clustering mode for clustering, generating clustering density information and converting the clustering density information into a space low-efficiency land index; marking land low-efficiency land, and setting adjustable design parameters of the land low-efficiency land; and optimizing the adjustable design parameters of the land low-efficiency land by using an improved particle swarm algorithm, so as to obtain an optimal design scheme of the land low-efficiency land. The space low-efficiency land index is generated based on the evaluation indexes and clustering information, the land low-efficiency land is marked, and the adjustable design parameters are set; through construction of a fitness function and combination of the improved particle swarm algorithm, the optimal design scheme is generated, and efficient utilization and intelligent planning of the land low-efficiency land are realized.

This application discloses a land use change prediction method, apparatus, device, and medium based on map representation generation learning, relating to the fields of spatiotemporal big data mining and urban planning technology. The method includes: constructing multi-source map submaps and performing binarization and attention weighting to obtain binarized land use submaps and weighted geographic environment submap features; extracting deep aggregated spatial features from both to generate latent vector representations; flattening the representation into a one-dimensional feature sequence and querying the index of each element in a landscape codebook to form a vectorized index sequence; combining relative distance encoding, using a map sequence generation learning model to predict future vectorized index sequences, and querying the landscape codebook to obtain future vectorized tensors; iteratively decoding the tensor using a map decoder to generate land use change results. This application achieves more accurate land use change prediction by capturing mesoscale spatial local information and reducing unit-level error accumulation.

This invention provides a novel structure for economic land use under forest cover, comprising, from bottom to top, a native soil layer, a mesh layer, a water-conducting grid layer, a sand cushion layer, and a solidified soil layer. The mesh layer covers the native soil layer, and the water-conducting grid layer covers the mesh layer. The mesh layer includes an HDPE three-dimensional honeycomb grid with a height of 10±5mm. The sand cushion layer, composed of medium-coarse sand and / or gravel, is filled within the HDPE three-dimensional honeycomb grid. The solidified soil layer covers the sand cushion layer. This entire structural system ensures natural water infiltration and circulation, meets ecological protection requirements, and avoids the damage to forest ecological functions caused by traditional hard paving. The solidification method used efficiently utilizes the in-situ soil under the forest cover, reducing the need for purchased materials and waste soil, thus lowering construction costs and ecological disturbance. The crystals produced by the solidifying agent are embedded in the native soil under the forest cover, acting as a framework and making the native soil more stable.

The present application provides a kind of ecological sensitive fire point identification and false fire point elimination method based on satellite fire point product data, comprising: obtaining satellite fire point product data and carrying out standardization integration;With each fire point longitude and latitude coordinate as center, buffer zone is constructed according to preset radius, and the proportion of each land use type in each buffer zone range is counted;According to the quantitative data of land use structure around fire point, selection criteria is set, ecological sensitive fire point is retained, and non-ecological sensitive fire point is removed;Using spatial clustering model, clustering operation is carried out on ecological sensitive fire point;The core quantitative index of each fire point cluster is counted, and the key time sequence parameter of each fire point cluster is extracted based on the observation time sequence information of each fire point in cluster;The key time sequence parameter of each fire point cluster is grouped and counted according to date-hour with fire point cluster as unit, and fire point cluster hour-level time sequence distribution data set is generated;According to the core quantitative index of each fire point cluster and fire point cluster hour-level time sequence distribution data set, multidimensional identification is carried out on fire point cluster, and false positive point cluster is removed.

The invention discloses a water conservation evaluation system and method based on ecological protection engineering, and relates to the technical field of water conservation evaluation, the system comprises an information acquisition module, an analysis and calculation module, an evaluation module and a database, grid division is performed on a monitoring drainage basin to obtain drainage basin units, and monitoring moments are set; the rainfall, land utilization type, potential evapotranspiration and soil attribute information of each drainage basin unit are collected at each monitoring moment, the monitoring drainage basin is divided into a marked area and each ecological engineering area, the water conservation amount of each drainage basin unit is calculated according to monitored data for the marked area, and the water conservation amount of each ecological engineering protection area is calculated according to the monitored data for each ecological engineering protection area. According to the method, the influence of each ecological protection project on soil is analyzed, the water conservation amount of each drainage basin unit is calculated according to the analysis result, and the change characteristics of the water conservation amount are obtained through Sen + M-K trend analysis, so that the calculation accuracy and effectiveness of the monitoring drainage basin water conservation amount are guaranteed, the calculation cost is reduced, and the ecological protection project can be monitored for a long time.

The present disclosure relates to a method for determining carbon storage information, a storage medium, an electronic device, and a program product. The method includes: obtaining reference images of a target area before and after the construction of a hydropower project; determining land use change information within the target area based on the reference images; determining the carbon density of different types of land under the land use change information; and determining the carbon storage change information within the target area under the influence of the hydropower project according to the land use change information and the carbon density. In this way, the accuracy of the obtained carbon storage change information can be ensured, the impact of the hydropower project on the carbon storage change in the target area can be accurately quantified, and thus strong support can be provided for environmental protection and sustainable development.

This invention belongs to the field of remote sensing technology and discloses a method for optimizing habitat quality parameters in the InVEST model based on Remote Sensing Ecological Indices (RSEI). This invention overcomes the technical bottleneck of traditional InVEST models, which rely on manual experience to set parameters and are difficult to update dynamically over time. By constructing a multi-source remote sensing data-driven RSEI, and utilizing its statistical characteristics and spatial distribution patterns across different land use types, it achieves objective quantification and dynamic updating of four key parameters: habitat suitability, threat weight, threat attenuation distance, and habitat sensitivity. Without requiring data from ecological monitoring stations, it directly incorporates continuous changes in ecological environment quality into the InVEST parameter system, resulting in higher objectivity, temporal consistency, and spatial autocorrelation in habitat quality calculations. This provides a novel technical approach for the automated and time-series assessment of regional-scale habitat quality.

The application discloses a kind of based on water and fertilizer coupling regulation and control's facilities blueberry-grape key growth period three-dimensional interplanting method, belong to fruit tree three-dimensional cultivation technical field.The method uses single heat preservation steel skeleton greenhouse cultivation (Figure 1), builds multilayer mulching structure and double branch water and fertilizer integrated drip irrigation system, supporting temperature and humidity sensor realizes real-time data acquisition;By optimizing variety, layout, tree shape (Figure 2), construct blueberry and grape growth period staggered peak management system;Based on the water and fertilizer demand law of two kinds of fruit trees, accurately control the water content of substrate, fertilizer liquid EC value and pH value, form water and fertilizer coupling precision control scheme, while using grape horizontal leaf curtain realizes blueberry summer and autumn growth season moderate shading.The application solves the problem of traditional greenhouse interplanting crop water, fertilizer, light competition, low resource utilization rate, forms the scientific layout of "upper vine lower irrigation", effectively improves land use efficiency and operating efficiency, reduces management cost, has good popularization and application value.

The application discloses a kind of basin nitrogen multi-scale coupling simulation and accurate traceability evaluation method and system, belong to the technical field of basin water environment simulation and non-point source pollution control, method includes: based on the soil, weather, land use and nitrogen deposition data of research area, the runoff of each grid, runoff nitrogen concentration, deep leakage and nitrogen leaching amount are calculated;D8 flow direction method and triangular unit line method are used to calculate the flow rate of basin outlet;The amount of nitrogen transport of surface path is calculated using the first-order kinetic method;Based on deep leakage and nitrogen leaching amount, the kinetic model coupled with organic nitrogen mineralization, microbial assimilation and denitrification process is used to calculate the amount of nitrogen transport of underground path;Comprehensive above result, output grid scale water nitrogen flux spatial distribution map, identify the key source area of nitrogen loss.The application realizes the multi-scale integrated simulation and accurate traceability of nitrogen migration and transformation by closely coupling grid scale biogeochemical process and watershed scale hydrological process.

This invention discloses a method for predicting the transport distance of landslides around tunnels based on multi-stage AI regression, belonging to the field of tunnel landslide prediction. The method includes the following steps: S1, collecting topographic remote sensing data, land use data, rainfall data, historical landslide data, sensor monitoring data, tunnel engineering data, and ecological data within the boundary of the study area; S2, dividing the study slope into tunnel disturbance zone, collapse zone, transport zone, and sedimentation zone to obtain a key feature dataset; S3, based on the multi-stage regional division results, targeting the key feature datasets of landslide transport distance for each stage, and using a multi-stage AI regression model to obtain the predicted total transport distance. This method for predicting the transport distance of landslides around tunnels based on multi-stage AI regression overcomes the limitations of traditional CTD (Cross-Tunnel Landslide Division) that ignore engineering disturbances and have insufficient single-model fitting capabilities, achieving high-precision prediction and engineering application of landslide transport distance in complex scenarios around tunnels.

This invention discloses a comprehensive ecological risk early warning method and system, belonging to the field of urban ecological planning. The method includes: obtaining land use raster sequences based on multi-scenario land use simulation; assessing ecosystem service supply capacity and ecological exposure intensity; identifying service degradation indices and co-degradation event variables; performing nonlinear threshold diagnosis based on co-degradation events and candidate driving factors to obtain a robust threshold set; constructing threshold crossing ratios based on robust thresholds; and fusing the service degradation index, ecological exposure intensity, and threshold crossing ratios to obtain a comprehensive ecological risk early warning index and outputting it in a tiered manner. This invention realizes the transformation of risk from static grading to process-oriented early warning, explicitly extracts the nonlinear thresholds of key driving factors, and directly translates the early warning results into early warning levels, control boundaries, and differentiated governance strategies, providing a unified technical solution for urban ecological risk prevention and control and land space governance.

The application provides a kind of weak supervision detection method of bulldozing area based on high-resolution remote sensing image, the method comprises: the original remote sensing image is preprocessed and feature extraction, obtain tile set and corresponding multi-scale feature map;Seed point mining is carried out to multi-scale feature map, and the seed point set of bulldozing area is obtained;Based on the seed point set of bulldozing area, the seed point corresponding to the multi-scale feature map is determined, and the complete region activation map is generated by expanding from the seed point;Based on the original remote sensing image and multi-scale feature map, the complete region activation map is processed by multi-feature boundary perception algorithm, and the pseudo label corresponding to the boundary position is obtained;Based on tile set and pseudo label, the new remote sensing image is processed by semantic segmentation network, and the detection result corresponding to the new remote sensing image of bulldozing area is obtained.The application realizes land use survey, illegal land use law enforcement inspection and land change dynamic monitoring by only relying on pixel level bulldozing area accurate detection of image level label.

This invention discloses a land use type discrimination system based on remote sensing texture features. The invention relates to the fields of remote sensing image processing and computer vision, and includes: a data processing module for receiving and preprocessing input remote sensing image data; and a texture primitive dictionary construction module connected to the data processing module, used to learn and generate a learnable texture primitive dictionary containing multiple typical local texture patterns from training data, and to perform texture primitive matching and soft allocation on the input image to generate a dynamic texture response map. This land use type discrimination system based on remote sensing texture features overcomes the shortcomings of existing methods in insufficient utilization of texture features. Combined with a bidirectional cross-scale feature alignment and fusion mechanism, the system can coordinate semantic information and texture cues from different resolutions, effectively improving the discrimination accuracy for features with complex textures or blurred boundaries, and enhancing the consistency of feature representation at different scales.

The application provides a kind of urban green land cooling benefit evaluation and optimization method, system, equipment and medium based on interpretable space machine learning, method includes: based on the city boundary data of target area, land use data and land surface temperature data, constructs urban green land data set and corresponding city land surface temperature data set;For each spatial unit in the city green land data set, calculate its corresponding several urban green land characteristic indexes;Geographic weighted random forest model is constructed, for fitting the longitude and latitude of all spatial units and several urban green land characteristic indexes and the nonlinear relationship of the land surface temperature data of the corresponding spatial unit in the city land surface temperature data set;The target area is divided into zones, and based on the geographic weighted random forest model, the interpretable modeling of the cooling benefit of each urban green land characteristic index in the target area and in each zone of the target area is constructed;According to local conditions, obtain the green land cooling benefit optimization decision of target area.

This invention discloses a method, apparatus, device, medium, and product for identifying locally elongated or narrow regions of a map patch. The method includes: acquiring a sequence of boundary coordinate points of the map patch to be identified; based on the boundary coordinate point sequence, traversing all edges of the map patch to be identified and calculating the minimum perpendicular bisector distance of each edge; based on the boundary coordinate point sequence, traversing all vertices of the map patch to be identified and calculating the minimum angle bisector distance of each vertex; determining whether the map patch to be identified is locally elongated or narrow based on the minimum perpendicular bisector distance and the minimum angle bisector distance, and outputting the determination result. This invention can effectively improve the efficiency and accuracy of identifying locally elongated or narrow regions of a map patch, thereby improving the accuracy and rationality of land use status classification.

The embodiment of the application provides a kind of river and lake shore zone remote sensing monitoring method and product, the river and lake shore zone remote sensing monitoring method includes: obtaining historical medium resolution remote sensing image data and historical high resolution remote sensing image data;From the historical medium resolution remote sensing image data, the end-member spectrum of typical ground object is extracted;The end-member spectrum is corrected according to the high resolution remote sensing image data and the interference of shadow or cloud layer is eliminated, and the target end-member spectrum matrix is obtained;According to the target end-member spectrum matrix, pixel unmixing is carried out on the medium resolution remote sensing image data to be decomposed, and the pixel unmixing result is obtained;According to the pixel unmixing result and water flooding frequency, water level amplitude area is determined;The shore zone monitoring range is determined according to the water level amplitude area;The image data corresponding to the shore zone monitoring range is input into wavelet transform U-Net deep convolutional neural network model, and the shore zone land use classification result is obtained;According to the shore zone land use classification result, the ecological shore zone ratio result of each river section is quantified.

The application discloses a hilly mountainous basin water quality pollution prediction method based on a SWAT hydrological model and a PLUS land use prediction model, and comprises the following steps: data collection and preprocessing: collecting relevant data of a basin to be predicted and preprocessing; SWAT model construction and rating: constructing a SWAT model of the basin, and rating and verifying model parameters by using historical hydrological and water quality data; PLUS model construction and land use prediction: constructing a PLUS model of the basin based on historical land use data and driving factor data, and simulating land use changes under different future scenarios; SWAT-PLUS model coupling: inputting future land use data predicted by the PLUS model into the SWAT model, simulating hydrological processes and water quality changes under different future scenarios; water quality pollution prediction and analysis. The application can comprehensively consider the influence of hydrological processes and land use changes on water quality pollution, thereby accurately predicting the water quality pollution condition of the hilly mountainous basin, and providing a scientific basis for basin water environment management.

This invention relates to the field of river basin ecological assessment technology, specifically to a method for assessing ecosystem damage in the Yellow River Basin based on multi-feature analysis. By integrating five dimensions of indicators—vegetation cover, land use structure, soil and water conservation function, water source conservation function, and ecological environment quality—a comprehensive diagnosis is achieved, encompassing ecological structure, service functions, and overall quality. Furthermore, it acquires actual spatial patch sets of various threat sources across the entire basin, such as industrial and mining land and transportation networks. Using a distance attenuation algorithm, it quantifies the ecological pressure borne by each raster pixel from all neighboring threat source patches, directly transforming the spatial expansion of human activities into dynamic changes in ecological environment quality. Finally, an area-weighted aggregation algorithm is used to summarize the assessment results at the sub-basin scale to the entire basin scale, overcoming evaluation biases caused by spatial unit heterogeneity.

This invention discloses a concave ridge forming device and ridge forming method for a ridging machine, specifically relating to the field of agricultural tillage machinery technology. It includes a scraper with a connecting groove at one end, through which several sets of positioning components are connected. A ridge component is mounted at the bottom of each positioning component. A mounting seat is mounted on the top of the scraper, with a measuring ruler mounted on the front side of the mounting seat and several sets of equidistant positioning grooves on the rear side. The ridge component includes a wedge-shaped plate mounted at the bottom of the positioning components. The wedge-shaped plate has a front face plane on its front side, a rear face plane on its rear side, a top inclined surface on its top, and curved surfaces at both ends. The concave ridge formed by this device provides ample space for "double rows per ridge," facilitating crop photosynthesis and ventilation, and improving yield and quality. It also has strong water retention capacity, reducing water and fertilizer loss and waste. Furthermore, it eliminates the need for excessive ridge widening, improving energy and land use efficiency.

This invention discloses a method, device, electronic equipment, and product for monitoring the implementation of land spatial planning, relating to the field of image classification technology. The method includes acquiring aerial images of the target area of ​​the approved plan; extracting SIFT features from the aerial images and local color features of the neighborhood of each feature point in the SIFT features; fusing the SIFT features with the local color features of the neighborhood of each feature point in the SIFT features to obtain a first fused feature; extracting global color features from the aerial images; fusing the first fused feature with the global color features to obtain a second fused feature; and using the second fused feature as input to a pre-trained classification model to obtain the land use type of the target area, so as to monitor the implementation of land spatial planning in the target area based on the land use type. This invention can automatically and dynamically monitor the implementation of land spatial planning in real time, saving human resources.