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49 results about "Aridity index" patented technology
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An aridity index (AI) is a numerical indicator of the degree of dryness of the climate at a given location. A number of aridity indices have been proposed (see below); these indicators serve to identify, locate or delimit regions that suffer from a deficit of available water, a condition that can severely affect the effective use of the land for such activities as agriculture or stock-farming.
Agricultural drought grade monitoring method based on temperature vegetation drought index (TVDI)
The invention discloses an agricultural drought grade monitoring method based on a temperature vegetation drought index (TVDI). The method comprises the following steps of: 1, data preparation; 2, land surface temperature (LST) data reconstruction; 3, construction of crop plantation area normalized difference vegetation index-land surface temperature (NDVI-LST) feature space; 4, TVDI calculation; and 5, drought grade monitoring based on the TVDI. The invention brings forward an LST data reconstruction method based on multi-year background values and area fluctuation values, a cultivated land area multi-year NDVI-LST feature space is constructed for crops, the TVDI is calculated, a crop drought grade monitoring model based on a supervision classification idea is designed for drought grade remote sensing monitoring, the model can quite accurately reflect drought threat degrees of the crops under difference conditions in real time, and the method has great significance in monitoring, early warning and prevention of agricultural disasters.
Owner:BEIJING NORMAL UNIVERSITY +1
Quick drought index monitoring method based on land surface temperature and vegetation index feature space
The invention discloses a quick drought index monitoring method based on a land surface temperature and vegetation index feature space. The method specifically comprises the following steps: remotely sensing land surface temperature and vegetation index of a monitored area by utilizing a satellite; taking prior information as a determination condition, and preprocessing the data of the satellite; constructing a feature space based on the preprocessed land surface temperature and normalized vegetation index satellite data; fitting out wet sides and dry sides of the feature space by the feature space; obtaining the intercept of the wet sides and the dry sides, the slopes of the wet sides and the dry sides and the like by the wet sides and the dry sides of the feature space; obtaining a temperature vegetation drought index according to each feature space parameter, the land surface temperature and the normalized vegetation index satellite data; obtaining the water content of land surface soil according to the temperature vegetation drought index, and finally performing drought monitoring. According to the method, the problems that the dry sides and the wet sides in the conventional feature space method are instable, variable difference is magnified excessively, and even an error phenomenon that the numerical values of the obtained parameters exceed the due physical meaning range of the parameters appears are solved.
Owner:INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
Irrigation district agricultural irrigation water demand decision-making method and system
PendingCN110689173AImprove water managementImprove management levelForecastingResourcesWater useAgricultural engineering
The invention discloses an irrigation district agricultural irrigation water demand decision-making method and system. The decision-making method comprises the following steps that firstly, the soil moisture content, the regional crop planting structure, the crop daily water consumption and the like of an irrigation area are calculated based on the 3S technology, and a soil moisture content prediction model based on soil water balance is generated; then a large-scale regional irrigation water demand prediction model is obtained; an actual irrigation area monitoring model is established based on vertical drought index difference; an irrigation area water resource optimal configuration model is constructed according to the soil moisture content prediction model, the regional irrigation waterdemand prediction model and the actual irrigation approximate area monitoring model; and finally, a one-key irrigation water decision support system is developed for the irrigation district. According to the remote sensing data, weather conditions, soil types and the like of different regions, automatic interpretation of irrigation district planting structures, irrigation district drought information monitoring and early warning, actual irrigation district monitoring, irrigation water utilization efficiency, irrigation district agricultural water demand and the like can be realized.
Owner:YELLOW RIVER INST OF HYDRAULIC RES YELLOW RIVER CONSERVANCY COMMISSION
Soil water content inversion method based on multi-model ensemble learning
ActiveCN111678866AReduce distractionsImprove accuracyScattering properties measurementsEarth material testingSensing dataEnsemble learning
The invention discloses a soil water content inversion method based on multi-model ensemble learning. Firstly, extracting initial input characteristics of a soil water content inversion model by fusing multi-source remote sensing data; then, based on a Stacking framework, training an extreme random tree and an XGBoost model in the framework through the initial input features; obtaining different soil water content prediction values, extracting a temperature-vegetation drought index inversion result, finally building a linear regression model through a fitting tool, and inputting the soil watercontent predicted by an extreme random tree and an XGBoost model and a TVDI inversion result into the linear regression model, thereby outputting a soil water content value.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA +2
Drought index monitoring method and system based on deep learning
ActiveCN112668705AAvoid defectsExpand the scope ofWeather condition predictionEarth material testingData setObservation data
The invention provides a drought index monitoring method and system based on deep learning, and the method comprises the steps: obtaining the observation data of a monitoring station, and obtaining the corresponding parameter information based on the observation data; respectively carrying out data processing on each piece of parameter information to obtain preprocessed data respectively corresponding to each piece of parameter information; performing data fusion on the preprocessed data and auxiliary data corresponding to the observation data, and constructing a data set based on the fused data, wherein the data set comprises a training set and a test set; training and testing the deep neural network model based on the training set and the test set until the deep neural network model converges within a preset range, and forming a drought index monitoring model; and monitoring the drought index of the to-be-detected area based on the drought index monitoring model. According to the invention, the drought condition can be identified more comprehensively, and the accuracy of drought condition monitoring is improved.
Owner:TSINGHUA UNIV
Agricultural drought monitoring method based on meteorological time lag caused by soil moisture
ActiveCN113095621AApplicable to agricultural drought monitoringStrengthen the formulationClimate change adaptationResourcesSoil scienceCorrelation analysis
The invention relates to an agricultural drought monitoring method based on soil moisture to meteorological time lag. The method comprises the following steps: preparing data of a research area, calculating evapotranspiration data by using a Penman's formula, carrying out rainfall and evapotranspiration interpolation and vegetation health index resampling, and ensuring that monthly mean value data in the research area have the same spatial resolution; estimating the delay time of the soil moisture to rainfall and evapotranspiration by means of a cross wavelet analysis method; calculating the relative values of rainfall, evapotranspiration and soil moisture relative to the historical overall level in sequence, and calculating the agricultural drought index of the research area in combination with the time lag condition. Correlation analysis is carried out on the drought index obtained by the method and a traditional drought index, and the reliability of the method is proved in the aspects of time, space and crop drought areas. According to the method, the brand new agricultural drought index is constructed, so that more accurate agricultural drought identification, monitoring and disaster loss evaluation are realized, and an important scientific basis can be provided for natural disaster monitoring evaluation and disaster prevention and reduction decision making.
Owner:WUHAN UNIV
Winter wheat drought monitoring method based on TROPOMI chlorophyll fluorescence remote sensing
ActiveCN113008843AGood correlationImprove relevanceCharacter and pattern recognitionFluorescence/phosphorescenceSoil scienceChlorophyllin
The invention discloses a winter wheat drought monitoring method based on TROPOMI chlorophyll fluorescence remote sensing. The method comprises the following steps: collecting TROPOMI chlorophyll fluorescence data, winter wheat spatial distribution data and soil moisture field survey data; performing equal longitude and latitude rasterization, linear interpolation and SG filtering reconstruction processing to obtain a day-by-day spatial continuous SIF data set of the research area; constructing a normalized chlorophyll fluorescence drought index NIBS by integrating the spatial distribution data of the winter wheat and the reconstructed day-by-day spatial continuous SIF data set of the research area; performing precision evaluation on the NIBS index by using the same-period temperature vegetation drought index TVDI and soil moisture field survey data; and dynamically monitoring the spring drought of the research area based on the NIBS index. The NIBS index indicates the drought condition of crops in a research area on the spatio-temporal scale, has high correlation with other drought condition monitoring methods in the same period, and can provide rich spatio-temporal change information for drought condition monitoring due to the advantage of high spatio-temporal resolution.
Owner:AEROSPACE INFORMATION RES INST CAS
Drought early warning method and device, computer equipment and storage medium
PendingCN112990615AMeet data acquisition needsImprove the accuracy of early warningForecastingComplex mathematical operationsAgricultural scienceData acquisition
The invention provides a drought early warning method and device, computer equipment and a storage medium. The method comprises the steps of obtaining the unit water deficit of a target early warning object in a preset unit duration; based on a preset accumulated water shortage time length, obtaining an accumulated water shortage amount corresponding to the water shortage amount; based on a preset function analysis algorithm, processing the accumulated water deficit to obtain a drought index value; determining the drought level of the target early warning object according to the drought index value; and according to the drought level, performing waterway prevention and control on the target early warning object. According to the method, drought early warning can be carried out on three object types including weather, agriculture and ecology, the data acquisition requirement conforming to the current monitoring level is met, and the early warning accuracy of various types of drought objects is effectively improved.
Owner:CHANGJIANG RIVER SCI RES INST CHANGJIANG WATER RESOURCES COMMISSION
Drought multistage prediction method based on state space and joint distribution
ActiveCN111860974AThe state-space approach is reasonableReflecting the Uncertain Nature of DroughtForecastingResourcesCorrelation factorAlgorithm
The invention provides a drought multistage prediction method based on state space and joint distribution, and the method comprises the following steps: firstly extracting a drought index SPI time sequence, interpreting a state transition matrix of the drought index SPI time sequence through a first-order state space model, and calculating a drought state probability matrix of a to-be-predicted time period; then extracting a correlation factor of a previous time period of the time period to be predicted, constructing joint probability distribution of the correlation factor in each drought state and a drought index SPI time sequence, and deducing a conditional probability model of the drought index under the condition that the correlation factor is given; and finally, calculating the full-state distribution of the drought index of the to-be-predicted region in the to-be-predicted time period T, and based on the full-state distribution of the drought indexes, calculating to obtain a meanvalue and a 90% probability interval of the drought indexes. The invention has the beneficial effects that the state space method can reflect the drought uncertainty nature; influence factors are introduced through multiple prediction and classification, so that the drought prediction precision can be improved; and the process is considered more comprehensively and finely.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)
Comprehensive drought monitoring and evaluation method based on hydrological process
PendingCN113887972ASensitive captureReal and objective reflection of evolution characteristicsResourcesHydrometryWater resources
The invention belongs to the field of hydrology and water resources, and particularly relates to a comprehensive drought monitoring and evaluation method based on a hydrological process. The method comprises the steps of S1, constructing, calibrating and verifying a distributed hydrological model; S2, carrying out edge distribution fitting; S3, constructing a comprehensive drought index SPERI; and S4, carrying out drought evolution analysis based on the comprehensive drought index SPERI. From the perspective of water circulation, the comprehensive drought index SPERI considering hydrological and meteorological factors is constructed by applying an SWAT model and a Copula function, and the comprehensive drought index SPERI has relatively strong physical significance and statistical basis, can sensitively capture the occurrence process of a drought event, and can truly and objectively reflect the evolution characteristics of regional drought. Meanwhile, identification and multivariable recurrence period analysis are performed on characteristic variables such as drought duration, intensity and peak value based on the index, so that powerful support can be provided for drought monitoring and evaluation.
Owner:INST OF WATER RESOURCES FOR PASTERAL AREA MINIST OF WATER RESOURCES P R C
High and cold wetland degradation degree monitoring method based on remote sensing data
InactiveCN114372707AImprove the degradation problemEase of evaluationScattering properties measurementsResourcesSensing dataEvaluation result
The invention provides a high and cold wetland degradation degree monitoring method based on remote sensing data, belongs to the technical field of evaluation, and can be applied to the field of wetland resource protection. The technology and the method are completely based on remote sensing data output by a GEE cloud platform, including a normalized vegetation index (NDVI), a normalized water body index (NDWI), a normalized drought index (NDSI) and a surface temperature (LST), and a high and cold wetland degradation index model (AWDI) constructed based on a knowledge rough entropy method, so that the spatial and temporal change process of the regional wetland is rapidly and accurately monitored, and the accuracy of the regional wetland is improved. Therefore, the degradation degree of the wetland is reflected more objectively. All input data of the index model provided by the invention can be obtained through a remote sensing inversion method, and pass precision test, so that the obtained evaluation result can be implemented in space, and the characteristics of wetland degradation in space can be monitored more finely.
Owner:赵锐锋
Vegetation drought monitoring and evaluating method
The invention discloses a vegetation drought monitoring and evaluating method. Comprising the following steps: screening contrast drought indexes, calculating VHI indexes under different contribution values of VCI and TCI, evaluating the correlation degree between the VHI indexes with different a values and the contrast drought indexes, extracting optimal contribution values of different regions, and finally calculating the VHI indexes corresponding to the optimal contribution values of the different regions to obtain an improved VHI index spatial distribution map. And vegetation drought comprehensive evaluation of the whole research area is realized. The method provided by the invention has innovativeness in the aspects of drought influence range identification and drought degree judgment under different hydrothermal conditions and underlying surface conditions, and can provide scientific and technical support for drought formation process, drought disaster-causing mechanism, drought rapid feedback and drought monitoring and early warning research. The method has wide popularization and application values in drought control, agricultural management, grain safety production and the like.
Owner:CHINA INST OF WATER RESOURCES & HYDROPOWER RES +1
Grassland drought monitoring method comprehensively considering temperature and water stress
ActiveCN112858632ACan't overcomeOvercome spaceMaterial analysis by optical meansEarth material testingSensing dataVegetation Index
The invention discloses a grassland drought monitoring method comprehensively considering temperature and water stress. The method comprises the following steps: S1, acquiring and processing large-scale remote sensing data; s2, constructing a drought monitoring model VDI; s3, dividing drought basic units of the research area; s4, based on the drought regionalization units, estimating a VDI weight coefficient in each regionalization unit; s5, determining a VDI drought level threshold value; and S6, obtaining a drought distribution result. According to the method, the defect that a drought index model only adopting the vegetation index and the land surface temperature cannot reflect the spatial distribution and change state of the drought in time is overcome, and the problem that the drought monitoring precision is influenced under the condition that the correlation between the temperature index and the vegetation index is not significant is solved; in addition, the defects of a single coefficient model are overcome, and the accuracy of large-scale grassland drought monitoring is effectively improved.
Owner:AEROSPACE INFORMATION RES INST CAS +1
Drought detection method
ActiveCN112507285ASimple modeling methodComplex mathematical operationsICT adaptationSoil scienceHydrology
The invention discloses a drought detection method, which comprises the following steps of: 1, acquiring difference data of precipitation and evaporation capacity in a certain region, and forming timeseries data D in a time period; 2, using a trend value fitted by a smooth spline to replace a position parameter of Logistic distribution to obtain a time-varying position parameter Dt; and 3, basedon the Logistic distribution of the time-varying Dt time sequence, estimating parameters by using an empirical frequency-based probability weighted distance method PWMs, and carrying out drought detection index standardization. A new non-stationary drought index NSPEI is provided, the modeling method is simple, the non-stationary standardized rainfall evapotranspiration index NSPEI fitted by usingtime-varying logistic distribution is closer to the soil drought degree in drought detection than SPEI, and drought information can be better reflected.
Owner:ANHUI NORMAL UNIV
Automatic tool and method for temperature vegetation drought index production and thematic map making
InactiveCN110738711ADrawing from basic elementsGeographical information databasesVegetationVegetation Index
The invention relates to the technical field of surveying and mapping remote sensing, in particular to an automatic tool for temperature vegetation drought index production and thematic map making, which comprises a data preprocessing module for image acquisition and preprocessing of surface temperature data and vegetation index data; a data calculation module used for calculating temperature vegetation drought grade data; a thematic map making module used for automatic production of drought grade thematic maps; the automatic production method specifically comprises the following steps: configuring a drawing template for drought grade grading result data, and controlling to generate a thematic map. The embodiment of the invention provides an automatic tool for temperature vegetation drought index production and thematic map making. By obtaining surface temperature data and vegetation index data, automatically fitting temperature vegetation index model calculation coefficients of all regions, calculating temperature vegetation indexes, performing grading, a thematic map is automatically generated based on temperature vegetation index grade data.
Owner:武汉珈和科技有限公司
Pasturing area drought identification method and system and management platform
PendingCN114842360AImprove accuracyLow costCharacter and pattern recognitionICT adaptationSensing dataUncrewed vehicle
The invention discloses a pasturing area drought identification method and system and a management platform. According to the pasturing area drought identification method, remote sensing data and image data shot by an unmanned aerial vehicle are combined, firstly, the drought condition is preliminarily judged through a drought index calculated through the remote sensing data, then crop images are shot through the unmanned aerial vehicle, and after a series of filtering processing, a model is input to obtain a drought grade result. According to the method, the system and the management platform provided by the invention, the labor cost can be saved, and the drought identification result with higher accuracy can be obtained.
Owner:CHINA INST OF WATER RESOURCES & HYDROPOWER RES +1
Hydropower station basin key point-based water inflow early warning method and system
PendingCN112686426AClear physical meaningImprove practicalityForecastingComplex mathematical operationsTerrainMathematical model
The invention discloses a hydropower station basin key point-based water inflow early warning method and system. The method comprises steps of the actual rainfall, the meteorological drought index and the cumulative effective rainfall of the first ten days in the interval watershed early warning period being acquired; inputting the meteorological drought index and the accumulated effective rainfall of the first 10 days into a pre-established runoff production coefficient calculation model to obtain a runoff production coefficient of an early warning period; and according to the runoff production coefficient and the actual rainfall of the early warning period, combining a pre-constructed interval inflow early warning index system to determine an early warning level. According to the method, the short-period early warning requirement of the prediction period within one day is met according to the predicted water inflow, the established mathematical model is simple, physical meaning is clear, and practicability is very high; the characteristics of complex terrain or mountainous rainfall are considered, key point screening is performed on the actually measured rainfall, so monitoring data is accurate and effective, the operand is reduced, and practicability and the fitting effect of the model are improved.
Owner:GUIZHOU QIANYUAN POWER CO LTD +1
Forest steppe fire risk forecast decision-making method and device and computer equipment
The invention relates to the technical field of fire prevention and control, and discloses a forest steppe fire risk prediction decision-making method and device and computer equipment, and the method comprises the steps: carrying out the fusion of ground feature reflection spectrum data of a forest steppe region, ground climate data, geological exploration data and other multi-source heterogeneous data; inversing the temperature vegetation drought index and the vegetation analysis current condition by using an inversion technology, and estimating a future time sequence of a temperature vegetation drought index forecast value based on a temperature vegetation drought index forecast model obtained by modeling; secondly, predicting the future risk degree of the forest steppe region by using the future time sequence of the temperature vegetation drought index forecast value, the water source distance and the vegetation flammability characteristics, analyzing the current vulnerability of the forest steppe region by using the forest ecological asset value and the population density, and finally, determining the temperature of the forest steppe region on the basis of the future risk degree and the current vulnerability. And determining forest and steppe fire risk forecasting decisions in each future time so as to provide accurate deployment decision suggestions for forest and steppe fire prevention.
Owner:武汉鸟瞰天下科技有限公司
Solar-induced chlorophyll fluorescence drought monitoring method
PendingCN112231638AImprove conditions that indirectly reflect vegetation droughtGood correlationImage enhancementImage analysisSensing dataVegetation
The invention relates to a solar-induced chlorophyll fluorescence drought monitoring method. The method comprises the following steps: acquiring remote sensing image data of a research area; resampling the spatial resolution of the unified remote sensing data by using a mean value method, multiplying an MODIS surface temperature (LST) product by a coefficient, converting the MODIS surface temperature (LST) product into a true value, processing low-quality data according to a quality control file and SG filtering, and extracting OCO2SIF data of a research area; respectively determining LSTmax,LSTmin, SIFmax and SIFmin according to the research area, and substituting the obtained LSTmax, LSTmin, SIFmax and SIFmin into a normalization formula to obtain TCI and SCI images of the research area; determining weights of the TCI and the SCI through an entropy weight method and substituting the same into a TSDI calculation formula, and obtaining a research area TSDI image; verifying the applicability of the TSDI by using the ESA CCI SM. The method is suitable for drought monitoring under the vegetation coverage condition, is more sensitive to hydrothermal stress compared with an NDVI-baseddrought index, and is directly related to vegetation photosynthesis, and therefore vegetation physiological drought evaluation is more accurate.
Owner:XIAN UNIV OF SCI & TECH
Hydrological drought monitoring system for areas without data
PendingCN113850465AReduce the gap between supply and demandSolve the shortageResourcesICT adaptationHydrometryData simulation
The invention discloses a hydrological drought monitoring system for a data-free area, and belongs to the technical field of drought monitoring. The system comprises a data simulation module used for calculating simulation data according to remote sensing data, wherein the remote sensing data comprises remote sensing rainfall data and remote sensing soil water content data, and the simulation data comprises natural runoff data, underground water storage data and soil water content data; a comprehensive drought index construction module which is used for constructing drought indexes according to the simulation data, wherein the drought indexes comprise a standardized runoff index, an underground water storage average percentage and a soil moisture stress index, and the comprehensive drought index construction is also used for constructing a comprehensive drought index according to the weight of each drought index in the comprehensive drought index; and a drought identification and grade division module which is used for determining the drought grade according to the comprehensive drought index and the grade division standard of the comprehensive drought index. According to the method, the overall and local hydrological drought conditions of the research area can be accurately identified, and the severity of the drought is graded.
Owner:HOHAI UNIV
Runoff reconstruction method and device, computer equipment and storage medium
ActiveCN112347706AImprove accuracyCharacter and pattern recognitionDesign optimisation/simulationEnvironmental resource managementReconstruction method
The invention relates to a runoff reconstruction method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a runoff time sequence actually measured by a hydrological station, and acquiring a plurality of Palmer drought index time sequences corresponding to a plurality of positions, wherein the plurality of positions are determined according tothe position of the hydrological station; according to the actually measured runoff time sequence and the plurality of Palmer drought index time sequences, obtaining a substitutability index corresponding to the hydrological station; and inputting the substitutability index corresponding to the hydrological station and the reconstructed runoff time sequence of the hydrological station at the upstream of the hydrological station into a runoff reconstruction model to obtain a reconstructed runoff time sequence corresponding to the hydrological station. Visibly, in the method, on one hand, the Palmer drought index time sequence associated with the position of the hydrological station is adopted, and on the other hand, the upstream and downstream relationship of the hydrological station in thedrainage basin is considered. Since the statistical relationship between the runoff reconstruction related data is considered more meticulously, the accuracy of the reconstructed runoff time sequenceis improved.
Owner:TSINGHUA UNIV
Marsh wetland remote sensing extraction method and system based on soil humidity
PendingCN113392377AImprove recognition efficiencyLow costImage enhancementImage analysisMarshBinary segmentation
The invention provides a marsh wetland remote sensing extraction method and system based on soil humidity. The method comprises the following steps: acquiring remote sensing image data of a predetermined area, and preprocessing the remote sensing image data; inputting the preprocessed remote sensing image data into a soil humidity inversion model, the regional soil humidity output by the soil humidity inversion model is obtained, wherein the soil humidity inversion model is used for temperature vegetation drought index TVDI inversion based on the results of land surface temperature LST inversion and normalized vegetation index NDVI inversion, and the regional soil humidity is reflected based on the inverted temperature vegetation drought index TVDI; inputting the regional soil humidity into a maximum entropy geographic information analysis model to obtain an optimal segmentation threshold value which is output by the maximum entropy geographic information analysis model and is used for segmenting the soil humidity in the image; and performing binary segmentation on the image based on the optimal segmentation threshold to identify the boundary of the inland marsh wetland in the image.
Owner:MINISTRY OF ECOLOGY & ENVIRONMENT CENT FOR SATELLITE APPL ON ECOLOGY ENVIRONMENT
Method and system for quantitatively evaluating urban green land cooling effects in different climatic areas
ActiveCN110750896AProduce a cooling effectMaterial analysis by optical meansDesign optimisation/simulationGrasslandUndergrowth
The invention discloses a method and a system for quantitatively evaluating the cooling effect of urban greenbelts in different climatic areas in the technical field of urban greenbelt cooling evaluation. The method comprises the following steps of based on a drought index, dividing global observation sample points into an arid region, a semi-arid and semi-humid region, a moderate humid region and an extreme humid region; combining field observation and satellite remote sensing technologies; analyzing the relationship between evapotranspiration and cooling effects of different vegetation types and the relationship between the leaf area index and the cooling effects of different vegetation types in different climate regions on the basis. The cooling effect evaluation models of the grassland type, the shrub type, the arbor type and the arbor-shrub-grass composite structure type in an arid region, the semi-arid region and the semi-humid region, the moderate humid region and the extreme humid region with the evapotranspiration and / or the leaf area index as characterization parameters are comprehensively constructed.
Owner:GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI +1
Meteorological drought refined monitoring method
InactiveCN112649898AImprove the level of refinementImprove drought monitoring, early warning and assessment service capabilitiesWeather condition predictionResourcesAtmospheric sciencesWeather station
The invention discloses a meteorological drought refined monitoring method, which comprises the following steps: defining a day-by-day meteorological drought index DI of a national meteorological station or a regional meteorological station, and obtaining alpha and beta data of the position of each regional meteorological station through inverse distance method spatial interpolation according to Gamma distribution parameters alpha and beta of a national meteorological station standardized precipitation index SPI; and according to the perennial average relative wettability index of the national meteorological station, carrying out spatial interpolation through an inverse distance method to obtain position data of each regional meteorological station, and on the basis of the standardized early-stage precipitation index SAPIi of the high-density regional meteorological station, calculating the drought index based on the high-density regional meteorological station. The method is high in functionality and can be widely applied to the technical field of meteorological monitoring.
Owner:中国气象局广州热带海洋气象研究所
Drought index calculation method based on saturated water vapor pressure difference
ActiveCN112734244ANo maintenance costsCalculation method is simpleResourcesSaturated water vaporGrassland
The invention discloses a drought index calculation method based on saturated water vapor pressure difference, and the method comprises the steps: defining a standardized saturated water vapor pressure difference index as a drought index, representing the drought condition, and monitoring the drought condition of a land ecosystem; the standardized saturated water vapor pressure difference index calculation method comprises the following steps: acquiring meteorological data of ground temperature, ground air pressure and relative humidity of a meteorological station or a field observation station; calculating saturated water vapor pressure and actual water vapor pressure according to meteorological data; and calculating a standardized saturated water vapor pressure difference index according to the saturated water vapor pressure difference. The new drought index provided by the invention is applied to drought monitoring of agricultural or ecological systems, can reflect drought conditions except atmospheric precipitation supply shortage, is simple in calculation method and accurate and stable in result, and observation data participating in calculation is easy to obtain and does not depend on additional observation instruments, so that the installation and maintenance cost of the additional instruments can be avoided, time and space continuity is achieved, and drought occurring in land ecosystems such as farmlands, forests and grassland can be described more accurately.
Owner:INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
Wheat yield estimation method and system suitable for extreme climate condition
PendingCN113657781AAccurate estimate of productionImprove the accuracy of production estimationClimate change adaptationKernel methodsSoil scienceAgronomy
The invention discloses a wheat yield estimation method and system suitable for an extreme climate condition, and relates to the technical field of agriculture, and the method comprises the steps: obtaining a plurality of different training samples, wherein each training sample comprises a trend yield, an SPEI drought index, a dry and hot air effective day number, N average rainfall average values, N average temperature average values and M NDVI vegetation indexes corresponding to the total cultivated land of each county in the wheat area in a wheat growth period; training and optimizing the random forest model by taking a plurality of different training samples as input and taking the actual yield of the total cultivated land of each county corresponding to each training sample in each wheat growth period as output to obtain an optimized random forest model; and predicting the actual yield of the total cultivated land of the county to be subjected to yield estimation in the set wheat area in the growth period of the wheat to be predicted by using the optimized random forest model. The method can accurately estimate the yield of wheat under the extreme climate condition.
Owner:BEIJING NORMAL UNIVERSITY
An Agricultural Drought Monitoring Method Based on Soil Moisture vs Meteorological Time Lag
ActiveCN113095621BApplicable to agricultural drought monitoringStrengthen the formulationClimate change adaptationResourcesSoil scienceNatural disaster
Owner:WUHAN UNIV
Agricultural drought monitoring method based on SMAP L waveband brightness temperature
ActiveCN112730465AAchieving Drought MonitoringRealize forecast and early warningMoisture content investigation using microwavesSoil scienceBiology
The invention discloses an agricultural drought monitoring method based on an SMAP L waveband brightness temperature, and the method employs the soil moisture, soil temperature and vegetation information carried in the L waveband brightness temperature to represent a drought state, builds a standardized microwave brightness temperature drought index (SMTBDI). The method is a quick, convenient and near-real-time monitoring method. And agricultural drought can be effectively forecasted and early warned. The method comprises the following steps: acquiring SMAP brightness temperature time series data of each grid in a certain time scale of a month for many years in an area; performing Gaussian distribution inspection on the time sequence data, and judging whether an independent sample corresponding to each grid conforms to Gaussian distribution or not; calculating SMTBDI for the grid passing through the Gaussian distribution test; and judging the drought degree according to the SMTBDI score, wherein the smaller the index value is, the more drought the index value is.
Owner:POWERCHINA HUADONG ENG COPORATION LTD
Method for accurately identifying new landslide area based on multi-source time sequence remote sensing image
PendingCN114241333AEnsure data consistencyAvoid the problem of not being able to extract landslide areasScene recognitionTerrainSoil science
The invention discloses a method for accurately identifying a new landslide area based on a multi-source time sequence remote sensing image. The method comprises the following steps: acquiring a slope map of a digital terrain model, a vegetation coverage index NDVI time sequence image and a surface radiation temperature time sequence image; calculating a simplified earth surface drought index TVDI based on an empirical parameter relationship between the earth surface temperature and the vegetation coverage index NDVI; tVDI values of remote sensing image files before and after a landslide are extracted to serve as time phase basic data before and after landslide area extraction, TVDI images before and after the landslide are resampled and subtracted to obtain a TVDI-D value of a change area, a threshold value for segmenting the landslide area and a non-landslide area is set, binaryzation is performed on the TVDI-D images, the binaryzed TVDI-D images are converted into vectors, and the vectors are converted into vectors; and screening the landslide candidate objects by taking the gradient information as a filtering condition so as to determine a landslide area vector. The precision of the landslide area detection method is improved in combination with multi-source remote sensing information, the false alarm rate in landslide detection is greatly reduced, and the credibility of a landslide detection result is also improved.
Owner:HARBIN INST OF TECH +2
A High-Precision Remote Sensing Monitoring Method for Adaptive Agricultural Drought
ActiveCN107607474BClimate change adaptationMaterial analysis by optical meansSoil scienceSoil moisture content
The invention discloses an adaptive agricultural drought high precision remote sensing monitoring method including a soil moisture document and comprising the following steps: A, inputting data and calculating a remote sensing drought index and a meteorological drought index, and respectively calculating on the basis of the remote sensing drought index, the meteorological drought index and the soil moisture document to obtain a correlation coefficient of soil humidity and the remote sensing drought index and a correlation coefficient of the soil humidity and the meteorological drought index; B, calculating by a model optimization method according to the correlation coefficients; C, calculating minimum residual min-rmse according to four model residuals, and calculating best model array best-band-comb according to the minimum residual min-rmse; and D, performing matrix calculation according to the best model array best-band-comb to obtain a soil moisture estimation model and image; wherein the a model optimization method in the step C comprises the steps shown in the specification. The adaptive agricultural drought high precision remote sensing monitoring method has the advantage ofwide range of application, and can be used to detect corresponding drought indexes according to the change of time, space and climate.
Owner:北京航天绘景科技有限公司
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