Page 1 of 10
European Journal of Business &
Social Sciences
Available at https://ejbss.org/
ISSN: 2235-767X
Volume 07 Issue 02
February 2019
Available online: https://ejbss.org/ P a g e | 221
A Study on the Applications of Remote Sensing
Sandeep Kumar
M.sc geography
ABSTRACT
With the advancement of the technology, a lot of innovative inventions are
reported in last few decades. Among these inventions, the remote sensing
technology has proved to be very effective for the geographical research.
With the help of the remote sensing technique, now it has become easier to
get the geographical features of an area.
Remote sensing technique is applicable in almost all fields. The aid of the
satellite information can be taken in order to get the geographical
information about an area. There is a sensor transmission reception
system in the remote sensors and this system works without the
intervention of human body. With the help of the remote sensing technique,
the data related to the surface of the earth can be obtained easily. The
current paper highlights the applications of the remote sensing.
KEYWORDS:
Remote, Sensing, Earth, Surface
INTRODUCTION
Page 2 of 10
European Journal of Business &
Social Sciences
Available at https://ejbss.org/
ISSN: 2235-767X
Volume 07 Issue 02
February 2019
Available online: https://ejbss.org/ P a g e | 222
The remote sensing technique can be used in the field of the agriculture
as this technique is supposed to be very effective to identify the regions
suitable for the crops. Also, the information about what kind of crop can
be cultivated in a particular area can be obtained with the help of the
remote sensing technique.
Remote sensing is also used to get the geographical features of those
areas where it is very difficult to go manually. Hence, now, it has become
possible to get the geographical information of the mountain areas which
are found at higher altitudes.
Also, it is observed that the data obtained through the process of remote
sensing is much accurate than that of obtained manually. Hence, the
data obtained through the remote sensing is highly reliable and can be
used for further processing.
The quality of the images captured through the remote sensors is also
high and each and every point can be shown clearly due to higher level of
pixels used.
The usage of remote sensing is increasing for the research in the
geographical field as the basic information about any place can be
gathered with the help of geographical information system and satellites.
Also, the relevancy of the processes has increased due to increase in the
percentage of the accurate data.
Page 3 of 10
European Journal of Business &
Social Sciences
Available at https://ejbss.org/
ISSN: 2235-767X
Volume 07 Issue 02
February 2019
Available online: https://ejbss.org/ P a g e | 223
The era of satellite remote sensing was open in the 1960s when cameras
and electronic sensors were mounted on spacecraft. Nowadays there is a
big assortment of satellite systems actively recording information about
the Earth. A wide variety of imagery is available from satellites. Both
active and passive sensors, operating from the microwave to the
ultraviolet regions of the electromagnetic spectrum collect a large amount
of information about the earth's surface every day. Each of the systems
vary in terms of their spatial, spectral, radiometic and temporal
resolution. Those characteristics play an important role in defining which
applications the sensor is best suited for.
Agriculture plays an important role in economies of countries. The
production of food is important to everyone and producing food in a cost- effective manner is the goal of every farmer and an agricultural agency.
The satellites has an ability to image individual fields, regions and
counties on a frequent revisit cycle. Customers can receive field-based
information including crop identification, crop area determination and
crop condition monitoring (health and viability). Satellite data are
employed in precision agriculture to manage and monitor farming
practices at different levels. The data can be used to farm optimization
and spatially-enable management of technical operations. The images
can help determine the location and extent of crop stress and then can
