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Remote sensing
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13 changes: 11 additions & 2 deletions Remote-sensing.html
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Expand Up @@ -176,7 +176,7 @@ <h2>Introduction</h2>
</section>

<h2>Satellite Characteristics: Orbits and Swaths </h2>
<h4>Orbits:</h4>
<h5>1. Orbits:</h5>
Satellites play a crucial role in various applications, including remote sensing, communication, and Earth observation. Two key characteristics defining satellite behavior are their orbits and swaths.
<figure style="text-align: center;">
<img src="assets/img/remote-sensing/orbit.png" alt="" style="max-width: 40%; max-height: 40%;">
Expand Down Expand Up @@ -215,6 +215,15 @@ <h4>Orbits:</h4>
</ul>
</li>
</ol>
<h5>2. Swaths:</h5>
<p>The swath width refers to the coverage area on the Earth's surface captured by a satellite during a single pass. It is determined by the satellite's sensor characteristics and the satellite's altitude. A wider swath allows for broader coverage but may sacrifice image resolution.</p>
<p>Understanding the interplay between orbits and swaths is essential for optimizing satellite mission design. LEO satellites, for instance, may have smaller swaths but offer higher revisit frequencies, making them suitable for applications requiring frequent observations. GEO satellites, on the other hand, have a fixed view but cover a larger area with each pass, making them ideal for continuous monitoring.</p>
<figure style="text-align: center;">
<img src="assets/img/remote-sensing/swath.png" alt="" style="max-width: 50%; max-height: 50%;">
<figcaption style="text-align: center;">Swaths (<strong>Image credit:</strong>
<a href="https://natural-resources.canada.ca/maps-tools-and-publications/satellite-imagery-and-air-photos/tutorial-fundamentals-remote-sensing/satellites-and-sensors/satellite-characteristics-orbits-and-swaths/9283" target="_blank">
© Remote Sensing Tutorials (Natural Resources Canada).</a>)</figcaption>
</figure>


<section id="fundamentals">
Expand Down Expand Up @@ -753,7 +762,7 @@ <h2>Section 3: Applications of Remote Sensing</h2>

<!-----------Data processing----------->
<section id="data-analysis">
<h2>Section 4: Data Analysis and Processing</h2>
<h2><a href="Remote-sesning-image-processing.html">Section 4: Data Analysis and Processing</a></h2>

<figure>
<img src="assets/img/remote-sensing/remote-dataprocessing.png" class="img-fluid" alt="" style="max-width: 800px; max-height: 500px;">
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226 changes: 226 additions & 0 deletions Sensor-corrections.html
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<br><figcaption style="text-align: center;"><strong>Image credit:</strong><a href="https://www.eumetsat.int/" target="_blank"> EUMESAT</a></figcaption>
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<h2>Various aspects of Satellite data collection </h2>




<!---------------- Reference ------------>
<h3>Reference:</h3>
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<li><a href="https://www.mdpi.com/2072-4292/12/16/2597" target="_blank">Evaluation Analysis of Landsat Level-1 and Level-2 Data Products Using In Situ Measurements, Cibele Teixeira Pinto, Xin Jing, Larry Leigh.</a></li>
<li><a href="https://www.earthdata.nasa.gov/learn/backgrounders/remote-sensing">Earthdata NASA - Remote Sensing</a></li>
<li><a href="https://en.wikipedia.org/wiki/Remote_sensing">Wikipedia - Remote Sensing</a></li>
<li><a href="https://giovanni.gsfc.nasa.gov/giovanni/#service=DiArAvTs&starttime=2022-01-01T00:00:00Z&endtime=2023-01-31T23:59:59Z&bbox=68.1152,5.8337,96.416,37.4744&data=OMAERUVd_003_FinalAerosolAbsOpticalDepth388%2COMAERUVd_003_FinalAerosolAbsOpticalDepth500&variableFacets=dataProductObservation%3AModel%2CObservation%3B">Giovanni NASA</a></li>
<li><a href="https://appliedsciences.nasa.gov/get-involved/training/english/arset-satellite-data-air-quality-environmental-justice-and-equity">NASA Applied Sciences - Satellite Data</a></li>
<li><a href="https://en.wikipedia.org/wiki/European_Organisation_for_the_Exploitation_of_Meteorological_Satellites">Wikipedia - European Organisation for the Exploitation of Meteorological Satellites</a></li>
<li><a href="https://www.atmospheremooc.org/">Atmosphere MOOC</a></li>
<li><a href="https://www.eumetsat.int/online-learning">EUMETSAT Online Learning</a></li>
<li><a href="https://www.eumetsat.int/data-and-user-support/training">EUMETSAT Data and User Support - Training</a></li>
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<li><a href="https://www.mdpi.com/1424-8220/19/20/4453" target="_blank">Multispectral Sensor Calibration and Characterization for sUAS Remote Sensing, by Baabak Mamaghani and Carl Salvaggio </a></li>
<li><a href="https://www.mdpi.com/2072-4292/12/16/2597" target="_blank">Evaluation Analysis of Landsat Level-1 and Level-2 Data Products Using In Situ Measurements</a></li>
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