This document summarizes applications of remote sensing for digital elevation models. It discusses how remote sensing uses electromagnetic rays to acquire data without physical contact. Digital elevation models are created using remote sensing techniques to represent terrain and are built systematically or randomly. Methods for creating DEMs include interpolation of contours or using radar data from two passes of a satellite or a single pass with two antennas. The quality depends on factors like terrain roughness and pixel size. Common software used includes TacitView, Socet GXP, and IDRISI.

1. TAE – II
SUB : Survey II
Topic : Applications of Remote sensing
In
Digital Model Elevation

2. Submiteed By:
 Shishir M.Meshram (A-71)
 Piyush R.Nimje (A-72)
 Akash Dehankar (A-73)
 Akhil Karumuri (A-74)
 Faizan R.Khan (A-75)
Submitted To:
Dr. B.V.Khode

3. Remote Sensing.
 Remote sensing is the acquisition of information about an
object or phenomenon without making physical contact with
the object.
 It is done through the Electromagnetic rays signals.
 Use of aerial sensor technologies to detect and classify
objects on Earth by means of propagated signals.
 Remote sensing makes it possible to collect data on
dangerous or inaccessible areas.
 Remote Sensing is broadly classified in 2 types
◦ Active Sensing.
◦ Passive Sensing.

4. Digital Elevation Model(DEMs)
 A digital elevation model (DEM) is a digital representation
of ground surface topography or terrain.
 Digital Elevation Model are commonly built using remote
sensing techniques.
 Very much used to make terrain maps.
 The DEMs are generally prepared
◦ random
◦ systematic.
 The terrain can only be described by
 Point
 Line
 Area

5. Production
 The older method includes the interpolation of
contours for getting DEMs.
 The electromagnetic rays are recorded and
they processed
 Digital elevation models may be prepared in a
number of ways But two methods are
common
◦ Two passes of a radar satellite.
◦ A single pass if the satellite is equipped with two
antenna.

6. The quality of a DEM
 The quality of Digital Elevation Model
depends upon the following points and the
pixels
◦ Terrain roughness;
◦ Sampling density (elevation data collection
method);
◦ Grid resolution or pixel size;
◦ Interpolation algorithm;
◦ Vertical resolution;
◦ Terrain analysis algorithm;

8. Processing Of Data
 Following are the steps in processing
◦ Spatial resolution
◦ Spectral resolution
◦ Radiometric resolution
◦ Temporal resolution
◦ Radiometric correction
◦ Atmospheric correction

9. Satellite
 RADARSAT
◦ RADARSAT International (RSI) was formed in 1989 by a consortium
to market, process, and distribute data worldwide from Canada's
RADARSAT-1 Earth-observation satellite and the data is used for
remote sensing.
 Magellan (spacecraft)
◦ Lauched by the U.S the Satellite provides world wide data.
 TerraSAR-X
◦ TerraSAR-X, a radar Earth observation satellite is a joint venture
being carried out under a public-private-partnership between
the German Aerospace Center (DLR) and EADS Astrium.

10. A typical view of Magellan (spacecraft)
Images taken by RADARSAT
TerraSAR-X

11. Error detection and correction
 Errors can be classified in two different categories
1. Positional errors
2. Attribute errors
 Both types of errors are introduced when DEMs are
created manually or automatically.
 It is necessary to consider certain criteria for their
detection and measurement

12. Software Used:
 TacitView from 2d3
 Socet GXP from BAE Systems,
 TNTmips from MicroImages,
 PCI Geomatica made by PCI Geomatics, the
leading remote sensing software package in
Canada,
 IDRISI from Clark Labs,
 Image Analyst from Intergraph,
 and RemoteView made by Overwatch Textron
Systems.

13. References
 Schowengerdt, Robert A. (2007). Remote
sensing: models and methods for image
processing.
 www.wikipedia.com
 www.google.com/aedumenia.in
 Podobnikar, Tomaz (2008). "Methods for visual
quality assessment of a digital terrain model