17-03-2014, 07:20 PM
Abstract: AOOPSI Assessment of Ocean Parameters
through the Satellite Image is a new approach in
oceanography. To identify enormous number of
oceanography parameters, and different approaches to
codifying them and (for internal dataset use and for
metadata) examining the list of parameters like salinity,
temperature of the water column, nitrate, nitrite,
phosphate, silicate, chlorophyll, oxygen, wave heights,
tides, rising of water, pH, etc. The parameters like
salinity, tides, chlorophyll, temperature, etc., have
already been assessed through images. However, wave
heights have not been analyzed from images. In this
paper an attempt has been made to propose a
multidimensional technology is introduced to derive the
values from the images and refining the errors by means
of few seasonal observed actual values. Once this attempt
is reasonably successful software is plan to be initiated.
Key words: AOOPSI, TIMESAT, Tsoft, ADaM, FFT, FIT, WS
and WH.
I INTRODUCTION
Advancement in the field of Remote Sensing has
gone to an extent of taking the geospatial accuracy to few
centimeters. Now-a-days remote sensing has become a tool
in the hands of scientific community to develop modelling
applied in the projection right from natural disasters. On
land, crop evaluation, melting levels of glacier, flood levels,
etc., are monitored regularly. Such effort in fore-warning
gives fruits in protecting the damages to life and planners in
the government to lead the mass in the right direction.
The extraction of data from Remote Sensing
techniques is generally coupled with GIS. With GIS, it leads
to a complete interpretation leading to the factual condition.
By such application Oceanographers and the Meteorologists
could track the cyclones, El Nino’s, etc., successfully.
Recently, application of Satellite Image interpretation
through GIS has been used to infer any oceanographic
parameter, which has to be estimated by spending large
amount of the money, time and energy. Encouraged by such
success of interpretation, scientists are in the ebbing to
monitor to routine oceanographic parameters only by
images. Of late, fisheries department monitor the fish shoal
movement and provide the tips for the fisherman in the
different places the right time to approach good catch. With
such efforts in utilizing Remote Sensing and GIS
technologies in oceanographic parameters’ evaluation and
monitoring, the wave climate has not been attempted to
assess the height of the wave in combination to the wind
speed. Though there are studies to assess the wave height by
continuous measurements along with wind speed, as in [6]
correlation ® between measured wind speeds and
significant wave heights is found to be 0.595 (r2 = 0.3541).
Image techniques have not been attempted, in spite of the
number of unnoticed natural parameters contribute to get a
particular wave height. It is rather difficult to assess the
wave height for as a 3D phenomenon from a 2D imagery.
However an effort is going to be made for measuring the
wave heights from the imagery by taking the select site in
combination with continuous measurements in the field.
through the Satellite Image is a new approach in
oceanography. To identify enormous number of
oceanography parameters, and different approaches to
codifying them and (for internal dataset use and for
metadata) examining the list of parameters like salinity,
temperature of the water column, nitrate, nitrite,
phosphate, silicate, chlorophyll, oxygen, wave heights,
tides, rising of water, pH, etc. The parameters like
salinity, tides, chlorophyll, temperature, etc., have
already been assessed through images. However, wave
heights have not been analyzed from images. In this
paper an attempt has been made to propose a
multidimensional technology is introduced to derive the
values from the images and refining the errors by means
of few seasonal observed actual values. Once this attempt
is reasonably successful software is plan to be initiated.
Key words: AOOPSI, TIMESAT, Tsoft, ADaM, FFT, FIT, WS
and WH.
I INTRODUCTION
Advancement in the field of Remote Sensing has
gone to an extent of taking the geospatial accuracy to few
centimeters. Now-a-days remote sensing has become a tool
in the hands of scientific community to develop modelling
applied in the projection right from natural disasters. On
land, crop evaluation, melting levels of glacier, flood levels,
etc., are monitored regularly. Such effort in fore-warning
gives fruits in protecting the damages to life and planners in
the government to lead the mass in the right direction.
The extraction of data from Remote Sensing
techniques is generally coupled with GIS. With GIS, it leads
to a complete interpretation leading to the factual condition.
By such application Oceanographers and the Meteorologists
could track the cyclones, El Nino’s, etc., successfully.
Recently, application of Satellite Image interpretation
through GIS has been used to infer any oceanographic
parameter, which has to be estimated by spending large
amount of the money, time and energy. Encouraged by such
success of interpretation, scientists are in the ebbing to
monitor to routine oceanographic parameters only by
images. Of late, fisheries department monitor the fish shoal
movement and provide the tips for the fisherman in the
different places the right time to approach good catch. With
such efforts in utilizing Remote Sensing and GIS
technologies in oceanographic parameters’ evaluation and
monitoring, the wave climate has not been attempted to
assess the height of the wave in combination to the wind
speed. Though there are studies to assess the wave height by
continuous measurements along with wind speed, as in [6]
correlation ® between measured wind speeds and
significant wave heights is found to be 0.595 (r2 = 0.3541).
Image techniques have not been attempted, in spite of the
number of unnoticed natural parameters contribute to get a
particular wave height. It is rather difficult to assess the
wave height for as a 3D phenomenon from a 2D imagery.
However an effort is going to be made for measuring the
wave heights from the imagery by taking the select site in
combination with continuous measurements in the field.