Call for Abstract

3rd World Congress on GIS and Remote Sensing, will be organized around the theme “An insight into the accelerating innovations in the field of GIS and remote sensing”

GIS 2017 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in GIS 2017

Submit your abstract to any of the mentioned tracks.

Register now for the conference by choosing an appropriate package suitable to you.

Geographic information system (GIS) is a system designed to capture, store, manipulate, analyse, manage, and present all types of spatial or geographical data. The acronym GIS is sometimes used for geographical information science or geospatial information studies to refer to the academic discipline or career of working with geographic information systems and is a large domain within the broader academic discipline of GeoinformaticsGIS is a broad term that can refer to a number of different technologies, processes, and methods. It is attached to many operations and has many applications related to engineering, planning, management, transport/logistics, insurance, telecommunications, and business.

  • Track 1-1Geomatics
  • Track 1-2Satellite imagery
  • Track 1-3Multi scale mapping global to indoor with Web Scene and Base maps
  • Track 1-4Developmental impacts of spatial data and spatial awareness
  • Track 1-5GIS uses in Water, Wastewater, Electrical, Gas, Phone, Broadband, etc.
  • Track 1-6GIS in urban planning and land use management
  • Track 1-7Web GIS/Mobile mapping
  • Track 1-8Geospatial infrastructure
  • Track 1-9GIS automation in map production and visualization
  • Track 1-10Aerial observations
  • Track 1-11Geospatial technology for Energy, Health, Pollution, etc
  • Track 1-12Remote Sensing & GIS integration
  • Track 1-13GIS in Transportation System
  • Track 1-14GIS application in resource management
  • Track 1-15GIS decision support and models
  • Track 1-16GIS in natural resources
  • Track 1-17Geovisualization
  • Track 1-18Health GIS

Geographical and earth sciences are depending on increasingly on digital spatial data attained from smart phones, social media API’s and remotely sensed images, analysed by geographical information systems (GIS) and cloud-based applications, disseminated through complex infrastructures, and visualised by and for an ever-increasing variety of users. The technologies supporting these processes are at the essential of geoinformatics

Technological skills alone, however, are not sufficient for establishments involved in the production and management of such geo-information. Owing to the rapid changes and developments in geo-information acquisition, investigation and dissemination, these organizations require scientific staff that can keep pace with and validate the relevancy of developments and the quality of the - nowadays - Big Geo Data, processes and geo-information. To tackle the challenges, you will learn to design and develop algorithms, models, and tools that can process the geo-spatial data into truthful, actionable information.

  • Track 2-1Geo-ontology
  • Track 2-2Virtual globes and virtual geographic environment
  • Track 2-3Spatial data quality and uncertainty
  • Track 2-4Health GIS
  • Track 2-5Geovisualization
  • Track 2-6Geocomputation
  • Track 2-7Geospatial web services
  • Track 2-8Geospatial data sharing and interoperability
  • Track 2-9Geospatial computation
  • Track 2-10Geospatial databases
  • Track 2-11Geospatial analysis and modelling
  • Track 2-12Geospatial standards
  • Track 2-13Information systems design

Remote sensing is the process where the Remote sensors collect data by detecting the energy that is reflected from earth. These sensors can be on satellites or mounted on aircrafts. The electromagnetic radiation is normally used as an information carrier in remote sensing.. Remote sensors gather information by measuring the electromagnetic radiation that is reflected, emitted and absorbed by objects in various spectral regions, from gamma-rays to radio waves. To measure this radiation, both active and passive remote sensors are used. Passive remote sensors record natural sensors that is reflected or emitted from the earth surface. The most common source of detection is sunlight. Active sensors use internal stimuli to collect data about earth.

Remote sensing methods are used to gain a better understanding of the earth and its functions. A Global Earth Observation System of Systems (GEOSS) is being developed to connect earth observation systems around the world. A comprehensive and coordinated system of earth observations could lead to better management of environmental data and could fulfil numerous societal benefits.

  • Track 3-1Earth observation and Satellite Data
  • Track 3-2Active and passive microwave remote sensing
  • Track 3-3Remote Sensing Applications in Natural Resources
  • Track 3-4Remote sensing Techniques
  • Track 3-5Urban Remote sensing
  • Track 3-6Remote sensing Satellite
  • Track 3-7Remote sensing of Environment
  • Track 3-8Remote sensing in Agriculture
  • Track 3-9Planetary Remote Sensing
  • Track 3-10Radiometry
  • Track 3-11Multi-spectral and hyper spectral remote sensing
  • Track 3-12RADAR and LiDAR Remote sensing
  • Track 3-13Remote sensing in conservation and ecological research
  • Track 3-14Remote sensing for Archaeology, Cultural and Natural Heritage
  • Track 3-15Remote Sensing in Climate Change Studies
  • Track 3-16Image processing and pattern recognition
  • Track 3-17Change detection remote sensing
  • Track 3-18Remote sensing for Terrain stability

Remote sensing application is a software application that procedures remote sensing data. Remote sensing applications are comparable to graphics software, but they enable generating geographic information from satellite and airborne sensor data. Remote sensing data help in regular management of water resources, finding different types of bioresources, plays potential role in both rapid & comprehensive EIA, detection and monitoring of the water pollution, acquiring information regarding offshore engineering activities, fisheries surveillance, ocean features, coastal regions and storm forecast operations, identifying Potential Fishing Zones (PFZ), and  Continuous monitoring of land use or land cover with remote sensing imageries have been of huge use in providing information on temporal and spatial changes in area under aquaculture, mangrove areas, coral reef mapping & other land use patterns. Remote sensing applications read specialized file formats that contain sensor image data, georeferencing information & sensor metadata. Some of the more popular remote sensing file formats include: GeoTIFF, NITF, JPEG 2000, ECW (file format), MrSID, HDF, and NetCDF.

  • Track 4-1Global Change
  • Track 4-2Urban Change Monitoring
  • Track 4-3High Resolution Satellite Mapping
  • Track 4-4Night time Remote Sensing
  • Track 4-5Other Remote Sensing Applications
  • Track 4-6Satellite Remote Sensing System
  • Track 4-7Airborne Remote Sensing System
  • Track 4-8UAV/UAS Remote Sensing System
  • Track 4-9RS/GIS/GPS Integrated Applications
  • Track 4-10Hyper spectral Sensing
  • Track 4-11Microwave Sensors/SAR/InSAR/D-InSAR
  • Track 4-12Laser Sensors/LIDAR
  • Track 4-13Digital Camera
  • Track 4-14Hydrology
  • Track 4-15Natural Resources
  • Track 4-16Archaeology
  • Track 4-17Coastal Zone/Fisheries
  • Track 4-18Water Quality & Water Resources
  • Track 4-19Agriculture & Soil
  • Track 4-20Vegetation & Crops
  • Track 4-21Forest Resources
  • Track 4-22Ecology/Environment Change
  • Track 4-23Land Use/Land Cover
  • Track 4-24Geology/Geography/Geomorphology
  • Track 4-25Geo-hazards/Disasters
  • Track 4-26Mountain Environment and Mapping
  • Track 4-27Coastal Zone Monitoring
  • Track 4-28Atmosphere/Oceanography
  • Track 4-29Digital Earth

Geodynamics is the study of motion and change on Earth. It provides the quantitative foundation for the theory of Plate TectonicsVolcanism, the chemistry of lava and volcanic rocksgravity and geomagnetic anomalies as well as seismic investigations into the structure of the mantle. The basic organizing paradigm for our understanding of the solid earth. Geodynamics specializes in high-end Geographic Information Systems, offering a broad spectrum of GIS services from simple data conversion to complex hydrographical data processing, data modelling and analysis.

  • Track 5-1Plate motions and plate deformation
  • Track 5-2volution of Continents and Oceans
  • Track 5-3Physical properties of rocks and minerals
  • Track 5-4Heat Flow
  • Track 5-5Geothermal gradient
  • Track 5-6Thermal structure of the oceanic lithosphere
  • Track 5-7Rheology of the mantle

Geographic Information Systems that offers a radically different way in which we produce and use the maps required to manage our communities and industries. A geographic information system (GIS) is a computer system for capturing, storing, checking, and displaying data related to positions on Earth’s surface. GIS can show many different kinds of data on one map. Once the desired data has been entered into a GIS system they can produce a wide variety of individual maps, depending on which data layers are included. GIS maps can also use to show data about density and number. GIS` technology combines database, mapping and statistical methods to integrate georeferenced data into visual displays where the relationships, patterns and trends in the data can be more easily identified.

  • Track 6-1UAV’s and Mobile Mapping
  • Track 6-2Mineral Mapping
  • Track 6-3Airport Mapping
  • Track 6-4Defence Mapping
  • Track 6-5Real-time and 3D with ArcGIS
  • Track 6-6Military 3D Applications
  • Track 6-73D Modelling from Remotely Sensed Data

The Global Positioning System is known as Navstar GPS or simply Navstar is a global navigation satellite system (GNSS) that delivers geolocation and time information to a GPS receiver in all climate and weather conditions, anywhere on or near the Earth where there is an unhindered line of sight to four or more GPS satellites. The GPS system operates independently of any telephonic or internet reception, though these technologies can improve the usefulness of the GPS positioning information. The GPS system provides critical positioning capabilities to military, civil, and commercial users across the world.

 

Photogrammetry is the science of making measurements from photographs, particularly for recovering the exact positions of surface points. It may also be used to recover the motion pathways of selected reference points on any moving object, on its components, and in the immediately adjacent environment. Photogrammetric analysis may be applied to one photograph, or may use high-speed photography and remote sensing to detect, measure and record complex 2-D and 3-D motion fields (sonarradarlidar, etc.). Photogrammetry feeds dimensions from remote sensing and the results of imagery analysis into computational models in an attempt to successively estimate, with increasing accuracy, the actual, 3-D relative motions within the researched field.

  • Track 7-1GPS Applications
  • Track 7-2Global Navigational Satellite Systems
  • Track 7-3Cartography
  • Track 7-4Cartogram & Map Design
  • Track 7-5Digital Photogrammetry
  • Track 7-6Space Environment/Deep Space Exploration
  • Track 7-7Global system for mobile communications (GSM)
  • Track 7-8Big data processing
  • Track 7-9Navigation and communication

A geographical information system (GIS) and Remote Sensing is a powerful, quickly developing technology that is making a major influence on renewable energy industries. GIS & RS integrates hardware, software and data for bagging, managing, studying and displaying all forms of geographically referenced information. With GIS, companies could view, understand, question, understand and envisage data in numerous ways that reveal relationships, designs and trends in the form of maps, globes, reports and charts. It is considered the go-to expertise for making the best choices about siting. That is because of the lavishness of information it provides about local land use, population density, proximity to the grid, existing infrastructure, natural resource extraction, environmental assessments and more. It helps the energy company understand what is happening, plus what is expected to happen, in a specific geographical space.

  • Track 8-1Use of remote sensing and GIS in solar energy
  • Track 8-2Land use
  • Track 8-3Weather patterns
  • Track 8-4Topography
  • Track 8-5Wildlife impacts
  • Track 8-6GIS mapping data
  • Track 8-7Solar radiation tools in ArcGIS
  • Track 8-8Web GIS
  • Track 8-9Web-based tools
  • Track 8-10GIS and wind power
  • Track 8-11GIS and bioenergy
  • Track 8-12Wind power resource areas
  • Track 8-13Population density and utilities

Satellite remote sensing is providing major advances in understanding the climate system and its changes, by quantifying procedures and spatio-temporal states of the atmosphere, land and oceans., The climate system that have not been detected by climate models and conventional observations, the spatial pattern of sea-level rise and the cooling effects of increased stratospheric aerosols. New insights are made possible by the unparalleled global- and fine-scale spatial coverage of satellite observations. Nevertheless, the short duration of observation series and their uncertainties still pose challenges for taking the robust long-term trends of many climate variables. Climate change is an unparalleled threat to the food security of hundreds of millions of people who depend on small-scale agriculture for their livings. Climate change disturbs agriculture and food security, and likewise, agriculture and natural resource management disturb the climate system.

The use of GIS for climate change would likely become more dominant in the transportation sector if the frequency and intensity of extreme weather events increases thus influencing transportation agencies to pursue additional capabilities to spatially analyze or predict the extent and potential damage caused by these events. In the short term, using GIS to support climate change adaptation plans will be more extensive as transportation agencies will need to develop strategies to strategies to mitigate or avoid the anticipated impacts of climate change.

  • Track 9-1GIS & RS in Climate Change
  • Track 9-2Agriculture
  • Track 9-3Health and Disease
  • Track 9-4Biodiversity Conservation
  • Track 9-5Erosion Monitoring and Control
  • Track 9-6Atmospheric Dynamics
  • Track 9-7Ocean and Coastal Monitoring
  • Track 9-8Drought and Desertification
  • Track 9-9Flood Monitoring
  • Track 9-10Carbon Trace/Accounting
  • Track 9-11Vegetation Change Monitoring
  • Track 9-12Terrestrial Temperature Monitoring
  • Track 9-13Food security

Geographic Information Systems (GIS) and remote sensing (RS) are very useful and effective tools in disaster management. Various disasters like earthquakes, landslides, floods, fires, tsunamis, volcanic eruptions and cyclones are natural hazards that kill lots of people and destroy property and infrastructures every year. Landslides are the most regular geological vulnerabilities in mountain regions. Remotely sensed data can be used very efficiently to assess severity and impact of damage due to these disasters. In the disaster relief phase, GIS, grouped with global positioning system (GPS) is extremely useful in search and rescue operations in areas that have been devastated and where it is difficult to find one’s bearings. Disaster mapping is the drawing of areas that have been through excessive natural or man-made troubles to the normal environment where there is a loss of life, property and national infrastructures.

  • Track 10-1Emergency Response and Recovery
  • Track 10-2Multi-agency incident management
  • Track 10-3Disaster Response Program
  • Track 10-4Real-time sensor and video integration
  • Track 10-5Flood Response
  • Track 10-6Earthquake
  • Track 10-7Fire Management
  • Track 10-8Hazard Mitigation
  • Track 10-9Emergency Management Industry
  • Track 10-10Web-based records management

Seismology is the study of earthquakes and seismic waves. Seismic waves are the waves of energy caused by the sudden breaking of rock within the earth or an explosion. They are the energy that travels through the earth and is recorded on seismographs. GIS helps to manage the impact of Earthquakes and other disasters by assessing risk and hazard locations in relation to populations, property, and natural resources, Integrating data and enabling understanding of the scope of an emergency to manage an incident and identifying staging area locations, operational branches and divisions, and other important incident management needs. Geodesy is the science of accurately measuring and understanding three fundamental properties of the earth its geometric shape, its orientation in space, and its gravity field as well as the changes of these properties with time. In relation to GIS, geodesy provides the fundamental framework for accurate positions on or near the Earth’s surface.

  • Track 11-1Paleoseismology
  • Track 11-2Volcano seismology and infrasoun
  • Track 11-3Tsunamis
  • Track 11-4Glacier seismicity
  • Track 11-5Earthquakes seismology
  • Track 11-6Tectonic deformation
  • Track 11-7Seismotectonics

3D visualization models have a variability of applications in geography and urban studies such as site location analysis, emergency facilities planning, design review, marketing, etc. They are usually used to simply visualize the built environment; there are early signs of them being used as 3D interfaces to more sophisticated recreation models.

In recent years, substantial advances have been made in the growth of intelligent 3D models of the built environment. Technology exists today that allows us to render visually stunning and richly detailed simulations of urban environments in a way that renders an ease of communication and understanding that is not currently present in many simulation models. These 3D models can be used as a user-friendly interface for querying the urban environment as a geographic information system, for hyper-linking Web-based information, for visualizing model results, and for accessing functional simulation models. The addition of a third dimension to our knowledge base of urban systems greatly enriches the simulation capacity of predictive models.

  • Track 12-12D and 3D information visualization
  • Track 12-2Distributed simulations and sensor webs
  • Track 12-3Simulation modeling dynamic geo processes
  • Track 12-4Geo-visualization and geo-visual analytics

A location-based service (LBS) is a software-level service that uses location data to control features. As such LBS is an information service and has a number of uses in social networking today as information, in entertainment or security, which is accessible with mobile devices through the mobile network and which uses information on the geographical position of the mobile device. LBS can be used in a variety of contexts, such as health, indoor object search, entertainment, work, personal life, etc.

LBS and Mobile GIS are critical to many businesses as well as government organizations to drive real insight from data tied to a specific location where activities take place. The spatial patterns that location-related data and services can provide is one on its most powerful and useful aspect where location is a common denominator in all of these activities and can be leveraged to better understand patterns and relationships.

  • Track 13-1Wireless and Mobile GIS
  • Track 13-2Location-based social network
  • Track 13-3Smart environments and ambient spatial intelligence
  • Track 13-4Geotagged big data
  • Track 13-5Personalization and context-aware adaptation
  • Track 13-6Visualization techniques for LBS
  • Track 13-7Novel user interfaces and interaction techniques
  • Track 13-83D and augmented reality

Processing of multi-temporal images and change detection has been an active research field in remote sensing for decades. Although plenty successful application cases have been reported on the monitoring and detecting environmental change, there are enormous challenges on applying multi-temporal imagery to derive timely information on the earth’s environment and human activities. In recent years, a great progress has been observed to overcome technological obstacles by the development of new platforms and sensors. The wider availability of large archives of historical images also makes long-term change detection and modelling possible. Such a development stimulates further investigation in developing more advanced image processing methods and new approaches in handling image data in the time dimension. Over the past years, researchers have put forward large numbers of change detection techniques of remote sensing image and summarized or classified them from different viewpoints. It has been generally agreed that change detection is a complicated and integrated process. No existing approach is optimal and applicable to all cases. 

  • Track 14-1Multi temporal image analysis techniques
  • Track 14-2Classification of multi temporal data
  • Track 14-3Fusion and assimilation of multi temporal data
  • Track 14-4Change detection methods
  • Track 14-5Multi temporal SAR and InSAR data analysis
  • Track 14-6Multi temporal LiDAR data analysis

Uncertainty describes as the degree to which the measured value of some quantity is estimated to vary from the true value. Uncertainty can arise from a variety of sources, including limitations on the precision or accuracy of a measuring instrument or system; measurement error; the integration of data that uses different scales or that describe phenomena differently; conflicting representations of the same phenomena; the variable, unquantifiable, or indefinite nature of the phenomena being measured; or the limits of human knowledge. Uncertainty is often used to describe the degree of accuracy of a measurement.

  • Track 15-1Spatial and spatio-temporal uncertainty modelling
  • Track 15-2Management of spatial uncertainty in knowledge-based systems
  • Track 15-3Incorporating uncertainty in spatial decision making
  • Track 15-4Sensitivity analyses technics for GIS and spatial modelling
  • Track 15-5Uncertainty analyses in GIS and spatial modelling
  • Track 15-6Design and model-based approaches in spatial accuracy
  • Track 15-7Scaling in spatial uncertainty assessment
  • Track 15-8Modelling uncertainty using geostatistics and stochastic geometry
  • Track 15-9Uncertainty in remotely sensed data and sensor data
  • Track 15-10Semantic uncertainty and vagueness
  • Track 15-11Uncertainty in big data and VGI

VGI is the harnessing of tools to create, assemble, and disseminate geographic data provided voluntarily by individuals. VGI is a special case of the larger Web phenomenon known as user-generated content. VGI can also be seen as an extension of critical and participatory approaches to geographic information systems. VGI attracted concerns about data quality, and specifically about its credibility and the possibility of vandalism. These sites provide general base map information and allow users to create their own content by marking locations where various events occurred or certain features exist, but aren’t already shown on the base map.

  • Track 16-1Participatory GIS
  • Track 16-2Public participation GIS (PPGIS)
  • Track 16-3Collaborative decision making
  • Track 16-4VGI applications and developments

Satellite remote sensing has become a common tool to investigate the different fields of Earth and environmental sciences. The progress of the performance capabilities of the optoelectronic and radar devices mounted on-board remote sensing platforms have further improved the capability of instruments to acquire information about the Earth and its resources for global, regional and local assessments. 

With the advent of new high-spatial and spectral resolution satellite and aircraft imagery new applications for large-scale mapping and monitoring have become possible. The integration with Geographic Information Systems (GIS) allows a synergistic processing of multi-source spatial data. The present conference will be an occasion to outline how scientists involved in the Earth and environmental studies can take advantage of new remote sensing techniques and the advances in spatial technology.

  • Track 17-1Sensors and Platforms
  • Track 17-2Processing Methodologies
  • Track 17-3Environmental Monitoring Concepts
  • Track 17-4Hazard Mitigation Geologic Applications
  • Track 17-5Infrastructures and Urban Areas
  • Track 17-6Remote Sensing for Archaeology, Cultural and Natural Heritage
  • Track 17-7Geospatial Infrastructure
  • Track 17-8GeoWeb delivery and analysis of remote sensing data.

Geographic Information System software is designed to store, retrieve, manage, display, and analyse all types of geographical and spatial data. GIS software lets you produce maps and other graphic displays of geographic information for analysis and presentation. With these capabilities a GIS is a valuable tool to visualize spatial data or to build decision support systems for use in multiple organizations. GIS stores data on geographical features and their characteristics. The features are typically classified as points, lines, or areas, or as raster images. On a map city data could be stored as points, road data could be stored as lines, and boundaries could be stored as areas, while aerial photos or scanned maps could be stored as raster images. GIS stores information using spatial indices that make it possible to identify the features located in any arbitrary region of a map.

  • Track 18-1Spatial Analysi
  • Track 18-2Near-Matching
  • Track 18-3Map Creation
  • Track 18-4Labelling
  • Track 18-5Interoperability
  • Track 18-6Image Management
  • Track 18-7Image Exporting
  • Track 18-8Geocoding
  • Track 18-9Census Data Integration
  • Track 18-10Reverse Geocoding

The most important component of Geographic Information Systems is its requirement for spatial data. Spatial data is any kind of information that has been collected, compiled, or processed with a spatial component, that is, a tie to a geographic location on the surface of the Earth. It so happens that this is a large segment of the spatial industry, often consuming an appreciable portion of dollars assigned to GIS implementation projects. Spatial data management is increasingly a consideration in any information management system (IMS) due to the fact that large amounts of data are being collected with spatial components. Businesses and government organizations are realizing that a traditional IMS does not allow an organization to leverage the value of spatial information inherent in their data. This has led to the development of software tools as extensions to commercial Data Management Systems (DMS) that allow for better storage, manipulation, and query of spatial data.

Considering the importance of quality spatial data, there are a number of operations that play important roles in the GIS Industry they are Data collection and extraction, Data conversion and compilation, Data management and integration, Organizational integration and training, Infrastructure implementation, Software application development, Information query and distribution and applications of GIS.

  • Track 19-1Geospatial Industry
  • Track 19-2Software application development
  • Track 19-3Applied GIS
  • Track 19-4Business Segments and Opportunities
  • Track 19-5Research and Development
  • Track 19-6Data collection and Extraction

GIS- 2017 facilitates a unique platform for transforming potential ideas into great business. The present meeting/ conference creates a global platform to connect global Entrepreneurs, Proposers and the Investors in the field of GIS and Remote sensing its allied sciences.

This investment meet facilitates the most optimized and viable business for engaging people in to consAtructive discussions, evaluation and execution of promising business.