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| Remote Sensing |
Showing posts with label Active Remote Sensing. Show all posts
Showing posts with label Active Remote Sensing. Show all posts
Tuesday, 29 April 2014
Thursday, 20 March 2014
What Is Open Source Remote Sensing ?
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| Open Source Remote Sensing |
Remote sensing is defined as a technology which provides information about the environment or the phenomenon on the earth's surface which is far away or remotely sensed. A person can get information about the things without any direct as well as physical contact with an object.
Open source remote sensing is a software with a source code which is available for all as a source to learn, to explore and to make use of it. Open sources are the licensed softwares made by many people which are freely available and can be easily used and further modified by anyone for the credits.
SOME SOURCES OF REMOTE SENSING:
IDRISI
Erdas
ENVI
ILWIS
QGIS
Orfeo Toolbox
R
GRASS
SAGA GIS
The above given sources of remote sensing some are free whereas few are not.
ILWI,QGIS for GIS, Orfeo toolbar, R,GRASS,SAGA are some of the free or open sources for remote sensing whereas IDRISI,Erdas,ENVI are not free.
Ques. How open source software is useful?
Ans. It is enourmously useful to the people who even have a little knowledge about this. It is available free of cost with license that means it avoids expense. It can be used by anyone and can also be further modified for the credits.
Ques. What are the objectives of open source?
Ans. There are many objectives like:
- People who are new to this field can gain knowledge about this and is also theoretically beneficial to them.
- Through this open source lectures can be delivered to the students in the lab.
- The changes can be made in the software and can be generated further.
- It can be very helpful for the research scholars to carry out their research in a good and technical manner.
Ques. What are the best open source for remote sensing?
Ans. The best open source for remote sensing are QGIS 2.0.1 "Dufour",GDAL 1.9.2, GRASS GIS 6.4.3,Orfeo Toolbox 3.18, R 3.0.2 and SAGA 2.1.
Ques. What are the microsoft windows in which open source can run?
Ans. Linux, windows, windows Vista, windows Azure, etc are some of the microsoft windows that support open sources and the applications like JAVA and C++ makes the software easily run.
Saturday, 30 November 2013
Thermal Remote Sensing
Thermal
Remote
Sensing
is
described
as
the
acquisition
of
image
data
in
the
infrared
part
of
the
electromagnetic
spectrum.
It
uses
the
radiations
that
are
emitted
by
the
surface itself.
Thermal
infrared
is
emitted
energy
that
is
sensed
digitally.
Thermal
remote
sensing
is
used
on
areas
to
assess
the
heat
island,
to
perform
land
cover
classifications
and
as
an
input
for
models
of
urban
surface
atmosphere
exchange.
Thermal
Remote
Sensing
is
a
special
case
of
reserving
land
surface
temperature
which
varies
in
accordance
to
the
surface
energy
balance.
Thermal data are usually acquired in sequences, where the first image is taken at night and the second is taken during the day. The image that is taken at night is used to monitor the raw emission of the surface and the second image that is taken during the day is used to see what part of incident shortware solar radiation is transformed to thermal radiation and then emitted to the surface.
This
principle
is
used
quite
often
in
geological
applications
and
we
can
study
the
presence
of
different
rocks
based
on
their
thermal
capacity.
Whereas
the
domain
of
visible
and
near
infrared
(VNIR)
radiation
is
suitable
for
monitoring
the
presence
of
metallic
minerals
such
as
hematite,
the
shortwave
infrared
domain
(SWIR)
is
used
for
the
detection
of
minerals
containing
OH-
functional
group.
But
none
of
these
domains
is
suitable
for
observing
the
major
constituents
of
igneous
rocks,
silica
and
feldspar.
In
addition
to
the
geological
applications,
Thermal
Remote
Sensing
image
data
can
be
used
for
:
- Studying the transformation of shortware solar radiation into longware thermal radiation and and evapo transpiration in the case of vegetation.
- Detection of heat loss in buildings
- Detection of the damages of steam pipelines and caliduct
- Detection of the subsurface fires
More Knowledge Contact
:- Spatial
IT Solutions
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