P G Diploma Remote Sensing Technology and Geographic Information Systems

Post Graduate Diploma

Online

₹ 85,000 VAT incl.

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Description

  • Type

    Post Graduate Diploma

  • Methodology

    Online

  • Duration

    1 Year

  • Start date

    Different dates available

  • Online campus

    Yes

Now-a-days the field of Remote Sensing and GIS has become exciting and glamorous with
rapidly expanding opportunities. Many organizations spend large amounts of money on these
fields. Here the question arises why these fields are so important in recent years. Two main
reasons are there behind this. 1) Now-a-days scientists, researchers, students, and even common
people are showing great interest for better understanding of our environment. By environment
we mean the geographic space of their study area and the events that take place there. In other
words, we have come to realise that geographic space along with the data describing it, is part of
our everyday world; almost every decision we take is influenced or dictated by some fact of
geography. 2) Advancement in sophisticated space technology (which can provide large volume
of spatial data), along with declining costs of computer hardware and software (which can handle
these data) has made Remote Sensing and G.I.S. affordable to not only complex environmental /
spatial situation but also affordable to an increasingly wider audience.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

GRADUATION PASSED

GRADUATION PASSED

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Reviews

Subjects

  • Computer
  • Technology
  • Systems
  • Interaction
  • F EMR
  • Detection of energy
  • Maps
  • Thematic maps
  • Resource surveys
  • Solar Energy

Teachers and trainers (1)

SNEHA  SHARMA

SNEHA SHARMA

COUNSELOR

Course programme

unique signature on the sensor, by which it can be identified. In general, we can say that any set of observable characteristics, which directly or indirectly leads to the identification of an object, is termed as signature. There are four major characteristics of objects which facilitate discrimination – spectral, spatial, temporal and polarization variations. Spectral variations are the variations in the reflectance or emittance of object as a function of wavelength. Colour of objects is manifestation of the spectral variation in reflectance in the visible region. Vegetation looks green, because it reflects the ‘green’ part of the incident light preferentially. When the sensor uses wavelength region other than visible region, the objects do not give its natural colour as signature. As for example vegetation looks red when the sensor uses near infrared reflectance. Spatial variations in the reflectance and emittance are attributes of the shape, size and texture of objects. In the visible region of the spectrum, we are quite familiar with spatial information provided by the shape, size etc. of an object as seen in photograph. The photographs of a hot spring will give similar shape and proportional to the size of actual hot spring. However, thermal scanner of a hot spring will give different look as per the temperature distribution across the surface of the hot spring. Temporal variations relate to the reflectivity or emissivity with time e.g. the diurnal and seasonal variation. These variations play an important role in the detection of agricultural crops as well as soils. Two crops having similar spectral reflectance, but having different growing season can be distinguished by remote sensor. In case of rocks, diurnal variations in the emitted radiation (thermal infra-red region) have proved to be very significant in their identification. Polarisation variation relates to the orientation of the electric field component of electromagnetic radiation. Objects can be distinguished from each other by making use of the differences in the polarization of the reflected EMR. Such observations have been particularly useful in microwave region. 14 The Association for Geographical Studies Transmission and Processing of the Sensor Data Output When sensors like cameras or multispectral scanners are mounted on aircraft, the images are recorded on films or magnetic tapes. When the aircraft lands, the films or tapes are physically transported to the laboratory for further processing. In case of satellites, there is no such possibility of physical retrieval of media containing data. In that case, the data is transmitted down to a ground station where it is recorded on magnetic tapes. The ground station therefore, needs to have an appropriate tracking antenna and communication link with the satellite. Then the data is corrected in different methods to remove distortions caused due to motion of the platform relative to earth, platform attitude, earth curvature, non-uniformity of illumination, variations in sensor characteristics etc. This can be done either using electro-optical techniques or more popularly by using computer and is called processing of data. Then the output products are generated either in the form of photographs or in digital form. Then the photographs are analysed visually and digital data is analysed by computer software. Remote Sensing Data Products and Their Interpretation Data products The main interest of social scientists and applied scientists is the data produced by Remote Sensing technique. The Remote Sensing data are of two types – pictorial and digital. These data products are described in the following paragraphs: 1. Digital Data Products: The digital data products give information in the form of array of small cells having quantitative values which is the function of the electromagnetic energy radiated from all objects within the field of view. A digital data product is called digital image. A digital image is a two dimensional array of pixels (picture elements). Each pixel represents an area on the earth’s surface and has an intensity value (represented by a digital number) and a location address (referenced by its row and column number). The intensity value represents the measured solar radiance in a given wavelength band reflected from the ground. The location address is a one-to-one correspondence between the column-row address of a pixel and the geographical coordinates (e.g. latitude and longitude) of the imaged location. The digital image is a vast matrix of numbers and is very often stored in a

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P G Diploma Remote Sensing Technology and Geographic Information Systems

₹ 85,000 VAT incl.