TECHNICAL TALK ON EXPLORING THE FUTURE OF REMOTE SENSING IN EARTH AND OCEAN SYSTEM

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Remote sensing is the science of gathering information about the Earth's surface from a distance, typically using sensors on satellites, aircraft, or drones. This data is then processed and analyzed using a Geographic Information System (GIS), a computer-based system for mapping and analyzing geographic data. 


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  • SRI SAIRAM ENGG COLLEGE
  • CHENNAI, Tamil Nadu
  • India 600042
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  • Co-sponsored by SRI SAIRAM ENGINEERING COLLEGE

  Speakers

KARUPPASAMY of SRM INSTITITE OF SCIENCE AND TECHNOLOGY CHENNAI

Topic:

TECHNICAL TALK ON EXPLORING THE FEATURE OF REMOTE SENSING IN EARTH AND OCEAN SYSTEM

A GIS is a robust computer system designed to organize, analyze, and visualize geospatial data. 

  • Spatial data management: GIS provides a framework for managing vast amounts of spatial data, which can include layers of information such as population density, road networks, land use, and elevation.
  • Data integration: A GIS can integrate different types of data (raster and vector) from multiple sources and overlay them to create comprehensive maps and models.
  • Advanced spatial analysis: A GIS includes a wide range of analytical tools, such as proximity analysis, overlay analysis, and statistical analysis, to uncover patterns and relationships in the data.
  • Data visualization: The software can produce interactive maps, charts, and 3D visualizations, making complex geographic data easier to understand for analysis and decision-making.
  • Decision-making support: By providing accurate, data-driven insights, GIS helps in planning and resource management across various fields, from urban planning to disaster response.
  • Automation: Geoprocessing tools allow users to automate tasks and model complex processes, which increases efficiency for large datasets. 

 

Email:

Address:SRM INSTITUTE OF SCIENCE AND TECHNOLOG, , CHENNAI, Tamil Nadu, India, 600044




Agenda

  • Spatial data management: GIS provides a framework for managing vast amounts of spatial data, which can include layers of information such as population density, road networks, land use, and elevation.

  • Data integration: A GIS can integrate different types of data (raster and vector) from multiple sources and overlay them to create comprehensive maps and models.

  • Advanced spatial analysis: A GIS includes a wide range of analytical tools, such as proximity analysis, overlay analysis, and statistical analysis, to uncover patterns and relationships in the data