Remote Sensing & GIS (CE-504 (B)) - Important Questions

Explain EMR / solar energy interaction with Earth's surface features and atmosphere with neat diagram

Discuss typical spectral reflectance curves of soil, vegetation and water with graph

Explain the electromagnetic spectrum with a neat sketch and its relevance to remote sensing.

Describe the basic components of remote sensing and its limitations

What is a vegetation index? Explain one index and its significance

Explain the different elements of visual image interpretation techniques.

Write the difference between active remote sensing and passive remote sensing

Where the low resolution and high resolution cameras are used in remote sensing.

Describe the concept of ideal remote sensing system with neat diagram

Explain the advantages and limitations (disadvantages) of remote sensing

Explain i) Spectral reflectance curves; ii) Stereoscope

What is sensor resolution and what are the different types of sensor resolutions?

Explain image classification and its types (supervised and unsupervised).

Explain the method of supervised classification in digital image processing.

Discuss the different types of data modes in a remote sensing system.

Write short notes on map projections, image filtering, Triangulated Irregular Network (TIN) and panoramic distortion.

Define image and describe the steps of digital image processing in remote sensing.

Explain the concept of image enhancement in remote sensing.

Write short notes on image filtering, UTM projection, buffer analysis and overlay analysis.

Differentiate between geostationary and sun-synchronous satellites, and between supervised and unsupervised classification.

What are the systematic and non systematic errors?

Explain the objectives and salient features of Chandrayaan-3.

Explain in detail about Earth resource and weather satellites.

Explain the sources of spatial / GIS data and the objective of data collection.

Explain spatial data integration techniques like map overlay in GIS with examples and importance.

What are map projections? Explain any two basic classes of projections.

Describe attribute data and its management in GIS.

Define GIS and describe in detail its hardware, software and other key components.

Distinguish/differentiate between spatial data and non-spatial (attribute) data in GIS.

What factors are to be considered while choosing a map projection system?

What are map projections and why are they important?

Describe the procedure for map input and creating shapefiles.

Explain how spatial data and attribute data are integrated to form a GIS.

Describe different types of coordinate systems.

What are spatial entities? Explain point, line and polygon with examples.

Define topology and explain the topological model and its features in vector data.

Differentiate and compare raster and vector data structures.

What is a shapefile in GIS? Discuss its applications and limitations.

Explain the different types of data models used in GIS and how data conversion is done.

Explain and compare vector and raster data structures in GIS.

Applications of remote sensing and GIS in water resources management

Integration of remote sensing and GIS for land resource assessment

Remote sensing and GIS applications in traffic management including synoptivity and repetivity concepts

Remote sensing and GIS approach for flood zoning / flood vulnerability mapping

Remote sensing and GIS applications for land use / land cover change and urban growth analysis

What are the different problems of using remote sensing data in GIS?