What are Satellite/Sensor Characteristics

Posted by

Satellite/Sensor Properties for Image Processing

This article will bring information and characteristics of satellite/sensor.  It is very important to know the characteristics of satellite image, this help user to select and acquire satellite image as per need of research and project. Image can be select based on mapping purpose and for this basic properties are very important for selection of satellite image, which are below-

  • Spectral Resolution
  • Spatial Resolution
  • Temporal Resolution

These properties play significant role for better image classification as per requirement of project. These properties will help to select appropriate image as per need of project for example in first case, spatial resolution may be important if detail information required but in other case if repeatedly satellite images required then temporal resolution become important.

Instead of these resolution swath of satellite image is also important as it describe the coverage of satellite image.

Below some significant satellite/sensor properties discussed.

World View-III

Launch Date

August 13, 2014

Orbit

Sun Synchronous

Altitude

617 Km

Spectral Resolution

Panchromatic: 450-800 nm
8 Multispectral: Visible and NIR; Wavelength Range- 400 nm - 1040 nm
8 SWIR: Wavelength Range 1195 nm - 2365 nm

Spatial Resolution

Panchromatic  Band- 0.31m, Multi Spectral Bands- 1.24m

Temporal Resolution

4.5 days

Radiometric Resolution

11-bits Pan and MS; 14-bits SWIR

Swath

13.1 KM

QuickBird

Launch Date

October 18, 2001

Orbit

Sun Synchronous

Altitude

450 Km

Spectral Resolution

Pan: 450-900 nm

Blue: 450-520 nm

Green: 520-600 nm

Red: 630-690 nm

Near IR: 760-900 nm

Spatial Resolution

Pan: 61 cm; Multi Spectral: 2.60 m

Temporal Resolution

1-3.5 days

Radiometric Resolution

11-bits Pan and MS; 14-bits SWIR

Swath

16.8 Km/18 Km

IKONOS

Launch Date

24 September 1999

Orbit

Sun Synchronous

Altitude

681 Km

Spectral Resolution

Pan: 450-900 nm

Blue: 450-520 nm

Green: 520-600 nm

Red: 630-690 nm

Near IR: 760-900 nm

Spatial Resolution

Pan: 1m; Multi Spectral: 4 m

Temporal Resolution

3 days

Radiometric Resolution

11-bits

Swath

13.8 Km

SPOT-7 

Launch Date

30 June 2014

Orbit

Sun Synchronous

Altitude

694 Km

Spectral Resolution

Pan (450 nm – 750nm)

Blue (455 nm –525 nm)

Green (530 nm –590 nm)

Red (625 nm – 695 nm)

Near-Infrared (760 nm – 890 nm)

Spatial Resolution

Pan: 1.5m; Multi Spectral: 6 m

Temporal Resolution

1 day

Radiometric Resolution

12-bits

Swath

60 Km

CARTOSAT-2

Launch Date

30 June 2014

Orbit

Sun Synchronous

Altitude

630.6 Km

Spectral Resolution

Pan (500 nm - 850 nm)

Spatial Resolution

Pan: 1 m

Temporal Resolution

4/5 days

Radiometric Resolution

10-bit

Swath

9.6 Km

LISS-IV

Launch Date

20 April 2011

Orbit

Sun Synchronous

Altitude

817 Km

Spectral Resolution

Green

Red

NIR

Spatial Resolution

5.8 m

Temporal Resolution

5 days

Radiometric Resolution

10-bit

Swath

70 Km

Reactions:

Comments

Post a comment

Popular

Digital Image Processing Tutorial-Image Enhancement Part-I

Posted by
Image
Image Enhancement-Contrast AdjustmentIn the last article, learned about the basis concepts of image enhancement and importance of enhancement in satellite image processing.  Understand satellite image, especially DN values stores in each pixel Process in Erdas Imagine to see DN values stored in pixels through viewer Image Info. Adjustment of contrast of Image to improve quality Image Enhancement Processes  In this article will move further to understand some more process can be used to improve quality of image. But this needs basic understanding of DN value and its range for all bands used in image stacking.  There are some enhancement process are available in all image processing software. Here will discuss enhancement functions of Erdas Imagine software.  After displaying a satellite image in viewer of Erdas,  click on Raster tool from menu bar of Viewer. Click on Contrast There Select General contrast
in that tool many contrast adjustment options to enhance image. such as  Histogram Equa…
Read more

Height Measurement by Aerial Photographs based on Concept of Parallax

Posted by
Image
There are several methods through which height/elevation can be measured using satellite image and aerial photographs. In case of satellite image such as, Cartosat,  ASTER, Worldview I & II and others are used to create height or elevation data in the form of digital elevation model. Aerial photography, LiDAR mapping are very common for creation of elevation data on higher scale/resolution for detailed study.  In the last article, relief displacement used to measure height of any object on earth surface. Here in this another method will be discussed to measure height of any given object on the earth surface. Parallax for Height Measurement using Aerial PhotographyParallax ConceptPhotogrammetry is capable of measuring elevation of earth surface. Aerial photographs/stereo pair satellite images can be used to measure elevation differences through the use of parallax method. New launched satellite are providing stereo pair satellite images images such worldview-2 etc.
Parallax can be def…
Read more

What is GIS (Geographical Information System) ?

Posted by
Image
GIS (Geographical Information System)
Geographical Information System (GIS) is an integrated tool, capable of mapping, analyzing, manipulating and storing geo-spatial data in order to provide solutions to real world problems (For example: logistics, emergency evacuation, and tax assessment, real estate analysis etc.) and help in planning for the future.

Importance of GIS GIS is a computer-based tool that allows you to integrate different kinds of geographic information such as satellite images, aerial photographs, digital maps, and global positioning system data (GPS), along with associated tabular database information. GIS not only helps you to examine and analyze geographic information at different levels of detail; but also allows the user to perform statistical analysis or spatial analysis. Predictions for the future can also be done using GIS models in the areas of land-use change, urban sprawl, habitat loss, and to predict seismic activity precisely.

Components of GIS
Fig. Diagrammat…
Read more