31 research outputs found
Ecological Capital Assessment and Analyses of Dynamic Changes in Arid Area
No full textForm the macroscopical-ecology point of view, base on remote sensing measure of region ecological capital evaluation's character, consider the possibility and reliability of acquire the data, we developed regional ecological capital assessment index in remote sensing measure. The paper calculate the total ecological capital from nine kind of ecological value. Base on the research achievements of the methodology of calculating per unit area ecological service value and the support of RS, GPS and GIS, the RS-based quantitative measurement of assessing the ecological capital developed by using the Landsat TM data, CBERS satellite data, meteorological data, MODIS satellite data and ecological data. We divided the study site to four ecological district and assess the ecological capital quantitative. A case study on the Spatial Analysis of the assessment of ecological capital in Changji Hui autonomous in 1990, 1995 and 2003 is carried out. Maps of the spatial distribution of ecological capital in the study area are charted, and the characteristics of the spatial distribution of ecological capital are analyzed.Geosciences, MultidisciplinaryRemote SensingImaging Science & Photographic TechnologyCPCI-S(ISTP)
A combined sensor system of digital camera with LiDAR
No full textIn order to utilize the advantages of the high height accuracy of laser ranging and the good planimetric accuracy of processed digital camera imagery, the feasibility of a combined sensor system of LiDAR with digital camera using area or line array CCDs is first analyzed in this paper. The hardware composition of the combination system is given and the algorithm of integrally processing LiDAR points cloud and digital camera image is illustrated. Software development and availability for the processing at all stages of the work flow, is the key to the full utilization of such an integrated system.Engineering, Electrical & ElectronicGeosciences, MultidisciplinaryRemote SensingEICPCI-S(ISTP)
The research and realization of the land-use change forecasting model in development zones based on RS and GIS
No full textThis paper presents a land-use change forecasting model in development zones based on RS and GIS. We argue that, in order to explore a feasible method for forecasting land-use change in development zones, GIS (Geography Information System) and RS (Remote Sensing) are used to analyze the different kinds of land-use change process and situation dynamically and quantitatively. Land-use change is represented by transition probability that is calculated from Quick Bird, IKNOS and SPOT imagery. And based on that a Markov transition matrix of different land-use categories is built up to forecast the land-use change trend According to this method, a utility system is developed using C# and ArcEngine as tools. The study shows this system is credible and practical, and improves the efficiency of land management in the development zones as a useful land-use monitoring tool.Engineering, Electrical & ElectronicGeosciences, MultidisciplinaryRemote SensingEICPCI-S(ISTP)
LBS Based Disaster and Emergency Management
No full textIn recent years, with the occurrence of more and more natural disasters and emergencies, China has also been greatly affected by that without exception. Wireless communication technology is playing an important role in disaster and emergency management. In current applications, mobile communication network, as the main key technology, have been used to deal with disasters and emergencies. However, mobile communication network application will be subject to certain restrictions when ground communication facilities are severely destroyed. In response to this situation, a new solution need to be worked out and a platform for disaster and emergency management should be built. The most important technology in the solution is Location Based Service, which is based on satellite communication and wireless communication. In this paper, the components of LBS and their applications in disaster and emergency were discussed. Meanwhile, the overall framework and function modules of the disaster and emergency management system were given. There are two main communication forms in response to different circumstances: the first one mostly depends on wireless communication; the other one relies on satellite communication, satellite communication (such as communication satellites and COMPASS system) would be an alternative method when wireless network is useless. COMPASS system is compatible with positioning and simple communicating function, which can play great role when communication satellites are busy or blocked. At the same time, tasks can be allocated to mobile users and managed by disaster and emergency management center. It can also receive data of multitudinous formats transferred from mobile user. Many tests approached under the platform proved that it is a useful solution for disaster and emergency management.Computer Science, Information SystemsEngineering, Electrical & ElectronicEICPCI-S(ISTP)
Spatial temporal geographic ontology
No full textOntology is the branch of metaphysics that deals with the nature of being. Ontology is currently used by philosophers, information scientists and psychologists. A sharing ontology is required for communicating between the communicating participants. And the formal description of ontology is fundamental to data exchange standards. In recent years, ontology has been used by geographers. Many researchers have recognized the importance of geographic categories, and the relationships and interactions between geographic categories. Geographic objects are intrinsically tied to space and exist at some time. In the geographic realm, cognitive categories expose certain special features of geographic objects at surveyable scale. And that these features denote the specific ontological characteristics of geographical objects. At the same time, there has been an increasing awareness of the importance of time, and time has been an integral part of geographical information science. Thus, the research of geographic ontology must involve a fully spatio-temporal view of our world, in other words, it is about spatial temporal geographic ontology. In this paper, firstly, it reviews the recently research of geographic ontology of many experts. And it mainly explores that what is the geographic ontology and what are the research contents of geographic ontology, and how to construct an geographic ontology? The domain of geographic ontology contains objects, relations, boundaries, events, processes, qualities, and quantities of all sorts. Geographic objects are typically complex, and they will in every case have parts. An adequate ontology of geographic objects must therefore contain a theory of part and whole, or mereology. And that an adequate ontology of geographic objects must contain also a topology, a theory of boundaries and interiors, of connectedness and separation, that is integrated with a mereological theory of parts and wholes. Secondly, the paper investigates the three levels of reality: the spatial reality, the cognitive reality and geographic reality. Then it considers that geographic cognition is the key factor of geographic category. Geographic categories are related to natural, cultural, and fiat element, et al. Thirdly, in this section, the research is about an spatial temporal geographic ontology that contains space and time. The paper discusses the spatial classification and the temporal categories of geographic phenomena. Spatial objects based on object or field, which are continuants or discrete, must be represented suitably by geographic ontology. Temporal analogue of objects: there are events and processes of various kinds. Processes and events are the key elements that describe dynamic action of spatial temporal geographic objects. With the introduction of time, the requirement to take heed of the manifold interconnections between the spatial and the temporal must be proposed. The geographic phenomena can be represented as spatial or temporal, and as continuants or discrete, and as events or processes. These categories are not exist in isolation from one another. Spatial and temporal are restricted each other and represent the dynamic geographical phenomena all together. Lastly, the paper concludes that spatial temporal geographic ontology must take heed of the manifold interconnections between the spatial and the temporal and in the future a technical infrastructure be needed to provide a basis for GIS.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000256657304053&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Engineering, Electrical & ElectronicGeosciences, MultidisciplinaryRemote SensingEICPCI-S(ISTP)
USING GPS SNR DATA TO ESTIMATE SOIL MOISTURE VARIATIONS: PROPOSING A NEW INTERFERENCE MODEL
No full textSoil moisture measurements are important for disciplines such as hydrology, climatology and agriculture. GNSS Reflectometry (GNSS-R) technique has been demonstrated to be an effective tool to sense soil moisture content (SMC). Besides airborne observations, great efforts have also been made concerning ground-based measurements. However, those methods are either based on too many hypotheses or depend on specially-made receivers. This paper proposes a new interference method which can extract parameters related to SMC from the raw SNR data routinely collected by geodetic GPS receivers. During long-term observation, the surface soil moisture variations can be ideally tracked by the effective reflector height, which decreases along with the increasing SMC. This method can also be applied to the retrieval of the surface topography around the GPS stations.National Natural Science Foundation of China (NSFC) [91437214, 41501360, 91547210, 41272366]; China Postdoctoral Science Foundation [2015M570109]CPCI-S(ISTP)4819-482
Early warning monitoring and management of disasters
No full textEveryone would admit that disaster early warning is more important than later treatment and damage repair. If an effective tsunami early warning system had been in place in the Indian Ocean region on 26 December 2004, thousands of lives would have been saved. The same stark lesson can be drawn from other disasters that have killed tens of thousands of people in the past few years. Effective early warning systems not only save lives but also help protect livelihoods and assets created by national development. This paper addresses the issue of disaster early warning monitoring and management in a systemic manner and offers a general approach to a management solution. From the viewpoint of control theory, it depicts the disaster early warning monitoring and management as an information chain which has five links: disaster model bank link, disaster monitoring network link, disaster transmission channel, disaster analysis and management link and decision making and commanding link. The five links constitute an information loop, with disaster data being collected, processed through the chain and control information being fed back to the different links. With some vivid examples, this paper indicates the weakness of current links in the existing disaster early warning and management systems. On the basis of all the above analyses, the paper finally puts forward some suggestions in order to improve the performance of early warning monitoring and management of disasters.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000256657303086&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Engineering, Electrical & ElectronicGeosciences, MultidisciplinaryRemote SensingEICPCI-S(ISTP)
AUTOMATIC CHANGE DETECTION OF URBAN LAND-COVER BASED ON SVM CLASSIFICATION
No full textThe reliability of support vector machines for classifying multi-spectral images of remote sensing has been proven in various studies. In this paper, we investigate their applicability for urban land cover in Wuhan, Hubei province of China. Firstly, radiation rectification, normalization processing and geometry registration are made between the bi-temporal images. Secondly, SVM approach is used in our study to classify sorts and land use types from bi-temporal images. Thirdly, build matrix of change detection in basis of the potential types of change. Post-classification compare are proposed pixel-by-pixel. According to the sort of change of every pixel, new value is assigned on the base of change matrix. The output is image of change. Lastly, the process and pattern of the urban land use change in the Wuhan district was finally revealed from 2009 to 2013 in our study.EICPCI-S(ISTP)1686-16892015-Novembe
Study on Crowdsourcing-Compatible Disaster Information Management System based on GIS
No full textUnder the development of mobile Internet and SNS, crowdsourcing has become a new method of information exchange and promoted information production and exchanging on Internet. During the processes of disaster relief, mass of information created and released by normal people have been used and played an important role. Using crowdsourcing in disaster information collection can improve the efficiency of rescue, especially when correct position is attached. Based on the analysis of current status of disaster information collection, crowdsourcing model and VGI, this paper studied the crowdsourcing-compatible disaster information management system based on GIS, including its' content, architecture, technical challenge and future development direction.Computer Science, Information SystemsEngineering, Electrical & ElectronicEICPCI-S(ISTP)
Mapping Paddy Rice Planting Area in Northeastern China Using Spatiotemporal Data Fusion and Phenology-Based Method
No full textAccurate paddy rice mapping with fine spatial detail is significant for ensuring food security and maintaining sustainable environmental development. In northeastern China, rice is planted in fragmented and patchy fields and its production has reached over 10% of the total amount of rice production in China, which has brought the increasing need for updated paddy rice maps in the region. Existing methods for mapping paddy rice are often based on remote sensing techniques by using optical images. However, it is difficult to obtain high quality time series remote sensing data due to the frequent cloud cover in rice planting area and low temporal sampling frequency of satellite imagery. Therefore, paddy rice maps are often developed using few Landsat or time series MODIS images, which has limited the accuracy of paddy rice mapping. To overcome these limitations, we presented a new strategy by integrating a spatiotemporal fusion algorithm and phenology-based algorithm to map paddy rice fields. First, we applied the spatial and temporal adaptive reflectance fusion model (STARFM) to fuse the Landsat and MODIS data and obtain multi-temporal Landsat-like images. From the fused Landsat-like images and the original Landsat images, we derived time series vegetation indices (VIs) with high temporal and high spatial resolution. Then, the phenology-based algorithm, considering the unique physical features of paddy rice during the flooding and transplanting phases/open-canopy period, was used to map paddy rice fields. In order to prove the effectiveness of the proposed strategy, we compared our results with those from other three classification strategies: (1) phenology-based classification based on original Landsat images only, (2) phenology-based classification based on original MODIS images only and (3) random forest (RF) classification based on both Landsat and Landsat-like images. The validation experiments indicate that our fusion-and phenology-based strategy could improve the overall accuracy of classification by 6.07% (from 92.12% to 98.19%) compared to using Landsat data only, and 8.96% (from 89.23% to 98.19%) compared to using MODIS data, and 4.66% (from93.53% to 98.19%) compared to using the RF algorithm. The results show that our new strategy, by integrating the spatiotemporal fusion algorithm and phenology-based algorithm, can provide an effective and robust approach to map paddy rice fields in regions with limited available images, as well as the areas with patchy and fragmented fields
