最新刊期
卷 ， 期 4 ， 2006
- 摘要：Since（CBERS- 02） was successfully launched on October 21,2003,the data of（CBERS- 02） has been widely applied to the fields for agriculture,forestry,geology,water conservancy ect.It is very necessary to update the coefficient of absolute radiometric calibration in order to deeply carry on the research of quantitative approaches.Therefore,China Centre for Resources Satellite Data & Application team has conducted a field measurement campaign for the characteristic of ground reflectance and of the atmosphere.The results show that the test site of Dunhuang is very homogeneous and the variation of ground material reflectance is about 5%.The results of atmospheric measurements have shown that the aerosol optical depth（<0.14） is very low.The coefficients of CBERS- 02 CCD sensor for four bands have been obtained through the "6S" atmospherical transfer code.Simultaneously,the cross-calibration of Landsat-5 TM and CBERS- 02 CCD based on the image of August 25,2004 was made.It shows that the consistency between the results from Dunhuang site calibration and cross-calibration varies less than 6% except band 3.The field measurement verified the radiometric performance and reliability for the absolute calibration of CBERS- 02 CCD sensor.关键词：China-Brazil Earth Resources Satellite（CBERS- 02）;absolute radiometric calibration;cross-calibration;the Dunhuang test site
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发布时间：2021-06-10 - 摘要：The Dynamic Bayesian Network（DBN）,which uses the time-series dynamic data to produce credible probabilistic reasoning,is a method developed in 1990s based on the Bayesian network,and offers a way to change analysis from the static viewpoint to the dynamic viewpoint when we carry out remote sensing change detection.Grasping the development tendency,we explore how to use Dynamic Bayesian Networks for direct change detection of remote sensing data with multi-temporal features.Taking the Landsat TM remote sensing data of eastern Beijing area acquired in May of 1994,2001 and 2003 as an example,we introduce in detail the method to do multi-temporal remote sensing direct change detection using Dynamic Bayesian Networks.The good result indicates that: the DBN-based direct change detection algorithm can input and handle remote sensing data of more than two time phases simultaneously,and it describes the relationship among the features and states of different time phases by means of probability and directed acyclic graphs.关键词：Bayesian Networks（BNs）;Dynamic Bayesian Networks（DBNs）;multi-temporal remote sensing change detection
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发布时间：2021-06-10 - 摘要：A method of dam detection based on multi-source satellite images fusion is brought forward.Under the pattern of feature level fusion,this approach utilizes the advantage,which adopts commutative complementarily characters of multi-source remote sensing.First,extra the features in multi-source satellite images in turn.Then these features are fused by logic template of multi-sensor fusion to get the target detection output of the system.The result of the test proves that the approach can effectively detect and locate the dam in the large complex remote sensing image and reduce the miscarriage of justice and mistake in only one satellite image.The whole algorithm can work automatically,achieving the anticipating aim.关键词：dam;image fusion;multi-source;detection
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发布时间：2021-06-10 - 摘要：MODIS instruments aboard on Terra and Aqua are used to synchronously retrieve aerosol optical depth（AOD） and surface reflectance properties,and the main principles and methods to derive aerosol products from satellites are discussed in detail.The aerosol optical depth and surface reflectance over Beijing are obtained by applying the multi-channel measurements from Terra and Aqua in their different observing angles to the same surface site.The satellite retrieval results are well consistent with surface sun-photometer observations. The retrieved results of surface reflectance and aerosol ngstrm exponent are discussed by comparing them with surface measurements and literature results.Our results show that in Beijing region the reflectance radio is about 0.66 of MODIS channel 1 over channel 7 and about 0.28 of MODIS channel 3 to channel 1.Compared with the data used by dark dense vegetation background algorithm proposed by NASA for global retrieval,i.e.0.50 and 0.25 on the two channels,the final AOD results from our method are more consistent with the surface sun-photometer observations.关键词：TERRA;AQUA;bi-angle approach;aerosol optical depth（AOD）;aerosol ngstrm exponent
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发布时间：2021-06-10 - 摘要：Spatial scale is one of the fundamental problems in geosciences.The spatial scale of remote sensing information and the spatial scale transformation have become the object of many scientific studies with the applications of remote sensing data.In this paper,the spatial scale of shoreline information extracted from satellite images with different resolutions has been studied based on fractal geometry.Two spatial scale transform models based on scale and fractal scale-dependence have been developed.The models have been used to transfer shoreline spatial scale extracted from IKONOS,IRS,SPOT and ETM+ images to（1∶10000） and（1∶50000） scales.The results have been compared with the map scale.It shows that the models work well.关键词：remote sensing information;scale-dependence;Fractal;shoreline
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发布时间：2021-06-10 - 摘要：Rock-desertification is a unique environmental and ecological problem in Southwest China.As remote sensing is an important way of monitoring variation of rock-desertification,a method for measurement and information retrieval of rock-desertification is developed in this paper.MNF transform is applied to IKONOS data to reduce the number of spectral dimensions to 3.In this 3-demension,endmembers in the image are found out and analyzed.It is found that various vegetations group into a line called "vegetation line",in which "dark vegetations",such as coniferous forest and broadleaf forest,continuously change to "bright vegetations",such as grasses.It is presumed that is caused by deferent proportion of shadow mixed in leaves or branches in various types of vegetation.The normalized distance between points for rock-desertification and the vegetation line is defined as Geometrical Rock-desertification Index（GRI）,which can be used to scale rock-desertification.This method was used in the IKONOS image of Puding,Guizhou province and showed many advantages.关键词：rock-desertification;) remote sensing;endmembers;vegetation line;geometrical rock-desertification index（GRI）
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发布时间：2021-06-10 - 摘要：This paper first introduces the interpolation technique of satellite orbit state vectors in the synthetic aperture radar interferometry（InSAR） system.From both the theoretical and practical viewpoint,we then discuss and analyze the influence of orbit data errors on the accuracy of the reference phase,the topographic phase,and the resulting digital elevation model（DEM）.Selecting a part area of Shanghai as the testing site,the experiment of interferometric processing and DEM generation is performed using the satellite ERS-1/2 SAR images as well as the coarse and precise orbit data provided by European Space Agency（ESA） and Delft Institute for Earth-Oriented Space Research（DEOS）,respectively.Comparison and analysis on the relevant accuracies are thus made for the two types of orbit data.The results show that the accuracy in the DEM generated with precise orbit data is prominently higher than that with coarse orbit data.关键词：coarse/precise) orbit data;DEM;accuracy;interferometric phase;reference phase
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发布时间：2021-06-10 - 摘要：Grassland shows obvious seasonal patterns and the effect of grassland classification varies in different stage within its life span.Field spectrum data with high resolution of dominant grasslands in the region around Qinghai lake was collected at 16 temporals in 2003 using GER 1500 spectrometer.Analysis of spectrum classification experiments for grasslands shows that spectrum transformation affects the classification accuracy.Classification method combining with certain spectrum transformation can achieve much better result than using the raw spectrum reflectance.Maximum likelihood and support vector machine using moving average spectrum,spectral angle mapping and minimum distance using first-order derivative of spectrum’s logarithm,and artificial neural network using first-order derivative of normalized spectrum can improve classification result.Then the paper carries out classification experiments for each temporal and determines the optimal temporal for grassland spectrum classification.The optimal temporal for natural and artificial grassland classification is at the beginning of grass turning green or in the middle ten days of August,with highest recognition accuracy mounting to 99%.The optimal temporal for artificial grassland classification is in the middle ten days of May,with highest recognition accuracy mounting to 95%,and it is worst for artificial grassland classification in the middle ten days of July.The optimal temporal for natural grassland classification is in the middle ten days of August,with highest recognition accuracy mounting to 87%.Experiment using TM data testifies the result derived from field spectrum data.关键词：grassland;reflectance spectrum;temporal;classification
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发布时间：2021-06-10 - 摘要：We processed the ascending and descending pass ASAR radar data that covers the same area using 2-pass D-INSAR technology,and got the co-seismic deformation field in LOS direction of the Bam（Iran） earthquake（Mw6.5）, which happened on Dec 26,2003,with two kinds of imaging geometry.After forward modeling of the co-seismic INSAR results using（Okada’s） elastic model in half-space,we got the geometric parameters of the seismic fault and the north-south component of the deformation field.We unwrapped the interferometric phase and computed its 3D co-seismic deformation field by combining the two kinds of imaging geometry and the north-south component from（Okada’s） model.The 3D deformation field shows typical characteristics of single right-lateral strike-slip fault.The research also shows that integration of ascending and descending pass radar data could provide effective constraints for deformation models.The Bam Co-seismic deformation field could be interpreted by the simplified 1-fault model,therefore the complex 2-fault model is unnecessary.关键词：SAR) interferometry;co-seismic deformation;build fault;LOS ambiguity
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发布时间：2021-06-10 - 摘要：The nodus of remote sensing monitoring for fog is the separation of cloud and fog.Synthetically using the ground-object spectral information and the image-textural information,together with the applications of fractal theory and BP neural network,have increased the reliability of the cloud and fog separation result.The image-textural extraction basing on gray scale connected region has improved the recognising ability of the cloud and fog boundary,while the fractional dimension weighted by gray scale has improved the separability of cloud and fog.Compared with the traditional Maximum Likelihood Classification,the identified precision of clear sky ground,fog areas,cloud areas was increased,especially that of the cloud areas was increased by 10%,and that of the three kind objects in total was increased by 7%,so it was more than 93%.The merging of these kinds was discussed also.关键词：BP neural network;fractal theory;cloud and fog separate;post-class processing
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发布时间：2021-06-10 - 摘要：This study develops a parameterized bare surface emission model for the applications in analyses of the passive microwave satellite measurements from the Advanced Microwave Scanning Radiometer-Earth Observing System（AMSR-E）.We first evaluated the capability of the Advanced Integral Equation Model（AIEM） in simulating wide band and high incidence surface emission signals in comparison with the INRA’s field experimental data obtained in 1993.The evaluation results showed a very good agreement.With the confirmed confidence,we generated a bare surface emission database for a wide range of surface dielectric and roughness properties under AMSR-E sensor configurations using the AIEM model.Through the evaluations of the commonly used semi-empirical models with both the AIEM simulated and the field experimental data,we developed a parameterized multi-frequency-polarization surface emission model-the Qp model.This model relates the effects of the surface roughness on the emission signals through the roughness variable Qp at the polarization p.The Qp can be simply described as a single surface roughness property-the ratio of the surface rms.height and the correlation length.The comparison of the emissivity simulations by the Qp and AIEM models indicated that the absolute error is extremely small at the magnitude of 10-3.The newly developed surface emission model should be very useful in modeling,improving our understanding,analyses,and predictions of the AMSR-E measurements.关键词：microwave;modeling;surface emissivity;Roughness
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发布时间：2021-06-10 - 摘要：Snow is a key element in the meteorological and hydrological studies.The amount of regional snow plays an important role in the climate change and also affects the management of water resources,and estimate the runoff and flood forecasting.Thus,it is necessary to do sensitivity analysis of dry snow emission model,and compare this model with experimental data.In this study, firstly,we carried out the numerical simulations to evaluate the subsurface effects,including surface roughness and dielectric properties,on the brightness temperature differences of snow covered terrain at AMSR-E frequencies.We found that the ground dielectric constant and the surface roughness parameters such as RMS height and correlation length have a significant effect on the brightness temperature differences at AMSR-E frequencies.Then we evaluate the capability of a multi-scattering microwave emission model that includes the Dense Media Radiative Transfer Model（DMRT） and AIEM in simulation of dry snow emission with Matrix Doubling approach.We compared the predictions of this model with the ground experimental measurements on Dec.21,1995 at Weissfluhjoch（46°49,83′N,（9°48）,62′E） in Davos,Switzerland.The comparison showed that our snow microwave emission model agreed well with the experimental measurements.关键词：dry snow;DMRT;underground properties;validation;AMSR-E
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发布时间：2021-06-10 - 摘要：Vegetation spatial structure including plant height,biomass,vertical and horizontal heterogeneity,is an important factor influencing the exchanges of matter and energy between the landscape and atmosphere,and the biodiversity of ecosystems.Most remote sensing systems,although providing images of the horizontal organization of canopies,do not provide direct information on the vertical distribution of canopy elements.The lidar waveform signature from a large-footprint lidar instrument,such as the Laser Vegetation Imaging Sensor（LVIS） has been successfully used to estimate the tree height and forest above-ground biomass.But the most lidar instruments do not have the mapping capability,and provide only sample data in a region.Other remote sensing data,such as a multi-angle spectral,a hyper-spectral,a temporal spectral radiometer,or radar data,will be needed to extrapolate the GLAS sample measurements into continuous regional coverage for forest structure parameters.The ability to image the surface through various angles by the Multi-angle Imaging Spectrometer（MISR） instrument provides canopy structure information through the anisotropy of the BRDF.Combining the vertical sampling of lidar with MISR’s mapping capability provides a possibility of mapping forest spatial parameters in regional,even global scales.The data from the Geoscience Laser Altimeter System（GLAS） on ICESat,and data from MISR on Terra are potential dataset for regional or global forest structure parameter mapping.The objectives of this study are to evaluate the GLAS data and to investigate the ability of MISR-like data for forest structural parameter estimation.The LVIS,AirMISR,and GLAS data were used in this study.The comparisons between GLAS tree height measurement and the average tree height from LVIS within the GLAS footprint show the high correlations.The study also shows the capability of multi-angle imaging spectrometer data to predict tree height information,which will be further explored for regional forest structural parameters mapping.关键词：lidar;GLAS;multi-angle imaging spectrometer;forest;tree height
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发布时间：2021-06-10 - 摘要：The protection forest lands are distributed scattering among the island in Taiwan,its function in safeguarding the territory is very important.In recent years,because the nature and social environment change quickly,people need more and more land resource;therefore the protection forest land was illegal lyused by the people usually.The purposes of this study are to use remote sensing data to detect the human impact on the protection forest of Kenting Park from 1993 to 2001.Remote sensing data has been used（1993 and 2001 SPOT XS） to establish the land-use database and ancillary with The Bureau of Forestry’s protection forest database as the data input of the study.Moreover we used impact indicators of land resources and GIS spatial analysis tools to measure the percent urban growth metric,percent farm growth metric,and percent human impact metric on these protected forest.The result showed that 8 protection forests have serious human impact and attentions should be paied by the manager.关键词：remote sensing;classification;land use;spatial analysis
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发布时间：2021-06-10 - 摘要：In passive microwave remote sensing,the vegetation layer within a footprint is of great diversities and anisotropy.Under lower frequencies the vegetation effect could be obtained by statistical average of the scattering and extinction characteristics of single scatter.In this paper the scattering calculation methods of an arbitrary scatter are discussed,where Raleigh-Gans theory is used for disc and needle,and infinite length approximation theory is employed for cylinder.Regarding the extinction of every kind of scatter,the results of the sum of scattering and absorption coefficient,and that from forward scattering theory are compared and discussed.关键词：bistatic) scattering;absorption coefficient;forward scattering theory;single scattering albedo
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发布时间：2021-06-10 - 摘要：For studying on the regional land surface heat fluxes over inhomogeneous landscape of the Tibetan Plateau area,the utilization of satellite remote sensing is indispensable.In this study,methods based on NOAA-14 AVHRR and Landsat TM are introduced and tested for deriving the regional land surface variables,vegetation variables and surface heat fluxes over inhomogeneous landscapes of the GAME/Tibet（GEWEX（Global Energy and Water cycle Experiment） Asian Monsoon Experiment on the Tibetan Plateau） area and the CAMP/Tibet（CEOP（Coordinated Enhanced Observing Period） Asia-Australia Monsoon Project（CAMP） on the Tibetan Plateau） area.Difficulties on the determination of regional land surface heat fluxes over heterogeneous landscape of the Tibetan Plateau by using the methods are introduced and the solving way to the difficulties is also proposed in this paper.关键词：Tibetan) Plateau;heterogeneous landscape;regional land surface heat fluxes;Landsat TM;NOAA/AVHRR
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发布时间：2021-06-10 - 摘要：By using the remote sensing data we can carry on the stream water quality detection.Most successful studies on water quality monitoring by remote sensing were mainly relied on choice of feasible method of atmospheric correction.This research incorporates digital count,radiance,reflectance,and reflectance with transmittance four different correction procedures to evaluate the effect on simulation.Dark object subtraction was selected for all procedures, and followed by separating the samples into two groups for the reason of the seasonal variation.In order to consider the sampling difficulty on SPOT images with its limited pixel resolution,two step unsupervised pre-classification and supervised post-verification were used for extracting the reliable water pixels from SPOT images which are corresponding to the same water quality monitoring locations in ten different days.The study adopted multivariate regression（MR）,artificial neural network（ANN）,and discriminant analysis（DA） to examine and compare the results of different relationships between optical spectrum and water quality.The overall results showed that the analysis from multivariate regression and discriminant analysis were not as good as the results obtained from artificial neural network in the study area.For atmospheric correction,the simple digital count with dark object subtraction method is necessary and sufficiently enough to count on atmospheric interference by comparing the results from four different correction procedures.However,this result of limited optical data correction and learning technique needs to be further confirmed by using higher resolution satellite images and more case studies.Basically,it is evident that artificial neural network has the potential and feasibility of monitoring water qualities and its derived index.关键词：atmospheric) correction;multivariate regression;artificial neural network;discriminant analysis
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发布时间：2021-06-10 - 摘要：Remote sensing（RS） data can be used to estimate the chlorophyll-a concentration of water body,which has become a key issue of water quality monitoring.In this paper the field water reflectance spectra have been applied for monitoring the water quality of Taihu Lake according to reflectance spectra of water varying with concentrations of organic and inorganic sediments.After analyzing the spectra character we selected the optimal band range（670—710nm）,and retrieved the chlorophyll-a concentration by linear spectral unmixing model using known water and chlorophyll-a endmember spectra of in situ-water samples.TM and HEPERION image was processed and the distribution of chlorophyll-a concentration was retrieved by linear spectral unmixing method.The result shows that a fine linear correlation exists between the abundance of chlorophyll-a from the spectral unmixing model and the concentration of chlorophyll-a from the analytical result in the laboratory,and also shows that spectral unmxing model is a feasible model in the practical application for water quality monitoring.关键词：spectra unmixing;chlorophyll;hyperspectral remote sensing
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发布时间：2021-06-10 - 摘要：This paper,on the basis of studying rain attenuation of Ku band microwave for satellite telecommunication systems,bravely envisages in an inverse way,to collect the weather information from this kind of atmospheric interference by making use of rain attenuation to detect rainfall in the atmosphere.The way is,turn over the processing to the positive problem that resolves the Ku wave rain attenuation,make use of the amount of Ku wave rain attenuation measured actually and the method to predict rain attenuation,calculate the rainfall rate,and obtain the total amount of liquid water through the electric wave propagation slant-path in atmosphere.On basis of this research,Ku wave band Satellite Telecommunication Systems（SaTS） will become a Ku-band passive bistatics Radar system at the same time to detect Atmospheric rainfall,and even develop the role of "the kill two birds with one stone".It has important practical meaning.Just like GPS/MET,this research would develop as SaTS/MET.Collecting the information of atmosphere,ocean,space from the interference error of other electro-magnetic waves applied technique,could find a new way thinking of and important paths for developing the remote sensing techniques,and opening up the Earth space information resources widely.关键词：satellite telecommunication;rain attenuation;detecting;atmospheric rainfall;remote sensing
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发布时间：2021-06-10 - 摘要：Remote sensing technology can be applied in research,planning,and management on a large-scale environment.It is a powerful tool for natural resource investigation.However there are various sources of satellite images and classified methods,so the researchers have to find the best combination to meet their requirements.In this study,the SPOT and IKONOS satellite images were used as material,and collocated with different classified methods to examine the spatial distribution of vegetation types in Kenting National Park.It is feasible for discussing the above issue by using satellite images,and different classified methods to get different classified accuracy.Although the spatial resolution of IKONOS is higher than SPOT,it is contrary to get lower classified accuracy by omission and commission.Moreover,there are discrepancies between different vegetation types in spectrum characteristics,so it needs to improve the accuracy of classification further.Good training area and proper methods can improve the accuracy of classification.But owing to the atmospheric effects,the topographic effects,and the overlap of spectrum characteristics in different categories, the classified accuracy of satellite images were always to be influenced.Therefore,if this problem can be solved effectively,the results of images classification will be usefulness.关键词：remote sensing;classified accuracy;spectrum characteristics
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发布时间：2021-06-10 - 摘要：There are two main topics to be discuss in this paper,pixel-level image fusion based on Principle Component Analysis（PCA）,and feature-level image fusion based on Dempster-Shafer evidence theory.In pixel-level case,the SAR image at HV polarization is relatively sensitive to the vegetation canopy.We combined the HV polarization information from SAR and spectral characteristic from SPOT images in an effort to enhance land cover classification.Before the fusion process,wavelet transform was first applied to denoise the SAR image which suffers from speckle contamination due to coherent process.PCA method is then used to fuse the SPOT and SAR images.In doing so,the PC-1 component is replaced by SAR image（approximation image,after wavelet transform） and then the inverse transform is followed.At last,the maximum likelihood classifier was used for both SPOT-XS images and fusion images.In feature-level case,fully polarization information from SAR is used to combine with spectral characteristic from SPOT images,mainly to enhance land cover classification.We first denoise the SAR image by Lee filter.Next,the maximum likelihood classifier based on different distribution was used for SAR and SPOT images（Based on Wishart distribution and multivariate Gaussian distribution respectively）,to extract the conditional probability of each pixel for each class.Dempster-Shafer evidence theory is then applied,to combine the classified results of SAR and SPOT data.Experimental results show that the classification accuracy is dramatically improved by making use of the proposed methods.Data fusion can take advantage of the use of complementary information to obtain a better overall accuracy than using single data source only.关键词：pixel-level image fusion;feature-level image fusion;wishart distribution
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发布时间：2021-06-10 - 摘要：Sensitivity experiments of spectral coverage,channel coverage and bandwidth are performed to investigate the channel characteristics designed to meet the basic requirements of atmospheric profile retrieval accuracy of 1K for temperature and 20% for humidity in 1 km thick tropospheric layers.Temperature and humidity profiles are retrieved from AIRS（Atmospheric Infrared Sounder） real measurements via empirical orthogonal function（Eigenvectors of Covariance Matrix） expansion methodology.Results suggest that notable improvements of the atmospheric parameter retrieval accuracy can be achieved by developing infrared interferometric spectrometer/radiometer with about 100 channels and with bandwidth of 2—4 wave numbers on the current technical and economical basis of our country.This bandwidth is 3—4 times smaller than that of the earlier spectrometer/radiometer on FY-3 satellite which will be launched in the year of 2006.
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发布时间：2021-06-10 - 摘要：According to the multiple-instrument characteristics of the Terra（EOS） satellite.A multiple-channel algorithm was proposed to retrieve land surface temperature and emissivity from ASTER/MODIS data at the same time.That is,at first,four thermal bands（11, 12,13,14） of ASTER were utilized to build radiance transfer equation.After analyzing the characteristics of the emissivity in ASTER TIR,the parameter emissivity is described approximately as two linear equations.Thus,the multiple-band algorithm retrieving LST and emissivity from ASTER/MODIS data comes into being after uniting four radiation transfer equation and the linear equation of emissivity.The key parameter transmittance is obtained from retrieved water content of atmosphere through NIR bands of MODIS.Because ASTER and MODIS data are on the same satellite,the transmittance was timely obtained.关键词：lightness temperature;LST;ASTER;MODIS;multiple-channels algorithm
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发布时间：2021-06-10 -
A Modified Land Surface Temperature Split Window Retrieval Algorithm and Its Applications Over China
摘要：Due to the difficulties in correcting the influences of the atmosphere absorbability and the Earth surface emissivity diversification,the retrieval of LST（land surface temperature） from satellite data is a challenging task.In this paper,a modified Becker’s split window LST inversion algorithm is developed for retrieving LST from the NOAA-16/17 AVHRR data.A new set of parameters for Becker’s LST algorithm is proposed.The algorithm is developed from a surface brightness temperature dataset generated from the MODTRAN program,which uses a range of surface parameters and atmospheric quantities as inputs.The 10-day composites of the Channel 4 and 5 brightness temperature data of NOAA-17 AVHRR（1km resolution） are used to generate the clear-sky LST.As a validation of the algorithm,the retrieved LST is compared with MODIS LST of the same period and area.The two LST products are found to be consistent,with the absolute difference being about 2.5K for most areas.The NOAA retrieved LST is also compared with in-situ ground surface 0 cm measurements taken from 257 meteorological stations which cover overall China area for the three periods of satellite observations.The comparison shows that the correlation between the retrieved LST and in-situ measurements is over 0.90 and the RMSE（Root Mean Square Error） is about 3.4K.[WTHZ]关键词：remote sensing;land surface temperature;inversion algorithm- 145
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发布时间：2021-06-10 - 摘要：Taiwan’s animal industry has already been transformed from being a traditional small scale farming culture to a capital and technological intensive agro-industrial operation.Facing pressure from imported animal products, Taiwan has already begun to realize its strategy of producing high-quality,healthy and safe animal products to meet consumers’ demands.In recent years Taiwan has tried to establish an integrated management system to help raise the overall competitiveness of its animal industry.The study aimed at establishing a monitoring system that can efficiently monitor and control the collection vehicles for perished or diseased animals from farms for cremation.We also created a module for each collection vehicle that consisted of a declaration input device and a weight sensing system.This module receives integrated real-time positions,loadings and declaration data for perished or diseased animals during the daily operating period for each collection vehicle via the global positioning system（GPS） and the general packet radio service（GPRS）.We also have an in situ supervising vehicle that can retrieve and monitor information from the remote server system by GPRS,enabling the monitoring of possible improper usage conducted by the perished or diseased animal collection vehicles.Consequently,the system closely interconnects the delivery information between the collection vehicles,control center,and supervisor on duty,central and local government.关键词：global) position system;geographic information system;global system for mobile communication;weight sensing system;world wide web;short message
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发布时间：2021-06-10
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