


For the past months we have develop an
antenna satellite controller using LabView as our programming language.
Basically what the controller does, it moves the antenna using manual or
automatic control. The hardest part in the design of the controller was to
understand how to convert from different coordinates system. A general algorithm
was developed in order to make this process. The front panel of the controller
is shown below.
What we are working now is to synchronize the controller with
one of our satellite antennas to receive data from RadarSat or LandSat
satellites. If data is going to be receive a database will be use to store the
data. In the next months we are going to move the existing code that we did in
LabView to Java in order to make accessible the controller via the Internet. The
same process is going to be use for the new software. Some minor changes will be
made because of compatibility of Java with the equipment to be use.

The purpose of this project was to design and implement a database system for all the image datasets acquired and processed in the Space Information Laboratory (SIL) in order to present the data in an organized manner so that anyone interested can see the metadata associated with a scene image, and a preview of the satellite image products available at SIL. It also facilitates the request process of satellite imagery that can be obtained through SIL for educational research, or bought for commercial purposes. A graphical user interface is provided for querying and browsing the database through the Internet.

Create
Virtual Representations of the objects (i.e.. Earth).
Create
Layers of information (land, hydraulics, water land, boundaries,
roads, etc).
Provide
useful information in cases of fire, floods, or any other disaster.
Observe
climatologic changes.
Observe
atmospherics changes.
Customize
information obtained from images to meet specific needs.
Allow
the station’s captured data more accessible to the user.
Broader
the interest in the station among the non-scientific
community.
Support
and integrate with others of the multidisciplinary projects
under The Tropical Center for Earth and Space Studies (TCESS).

In the Space Information Laboratory, a component of the Tropical Center for Earth and Space Studies at the UPR – Mayagüez Campus, we acquire image data from the following satellites: Landsat 7, Radarsat, and Terra, among others. The image data is processed with several software applications, such as the ENVI toolbox. Image processing techniques provides several features of the earth surface, for example, the temperature behavior of our atmosphere, image enhancement, vegetation index, spectral analysis, mosaicking, etc. Also, ENVI provides several filtering techniques that will be applied to the images of interest and results will be compared. Another analysis tool that ENVI has is the 3-D modeling of the image surface, providing a feature to measure the surface depth. This project consists of applying image processing techniques to the image data received at the Space Information Laboratory and the generation of the gap area in the Landsat 7 Level 0 image to process only the real acquired data.
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