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finishing up on wk4, wk6, starting wk7
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8 changes: 5 additions & 3 deletions .quarto/_freeze/index/execute-results/html.json
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"markdown": "# Preface {.unnumbered}\n\nThis is a Quarto book.\n\nTo learn more about Quarto books visit <https://quarto.org/docs/books>.\n\n\n::: {.cell}\n\n```{.r .cell-code}\nprint(\"hello this is Week 1\")\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n[1] \"hello this is Week 1\"\n```\n:::\n:::\n",
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"markdown": "# Preface {.unnumbered}\n\nA few disclaimers:\n\nSpecial thanks:\n\nTo learn more about Quarto books visit <https://quarto.org/docs/books>.\n\n\n::: {.cell}\n\n```{.r .cell-code}\nprint(\"hello this is Week 1\")\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n[1] \"hello this is Week 1\"\n```\n:::\n:::\n",
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2 changes: 1 addition & 1 deletion .quarto/cites/index.json
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2 changes: 1 addition & 1 deletion .quarto/xref/44b14371
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{"entries":[],"options":{"chapters":true},"headings":["case-study-of-wildfire-monitoring-for-air-quality-interventions-in-melbourne"]}
{"entries":[],"headings":["wildfire-monitoring-for-air-quality-with-remote-sensing","case-study-and-policy-implications-for-the-greater-melbourne-area","reflection","concept-illustration-video"],"options":{"chapters":true}}
2 changes: 1 addition & 1 deletion .quarto/xref/4a61a70e
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{"headings":[],"entries":[],"options":{"chapters":true}}
{"entries":[],"options":{"chapters":true},"headings":[]}
2 changes: 1 addition & 1 deletion .quarto/xref/4dff5b72
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{"options":{"chapters":true},"entries":[],"headings":["overview","remote-sensing-overview","case-study-of-bristol","results","reflections"]}
{"entries":[],"headings":["overview","remote-sensing-overview","case-study-of-bristol","results","reflections"],"options":{"chapters":true}}
2 changes: 1 addition & 1 deletion .quarto/xref/5ffed545
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{"entries":[],"headings":["preface"],"options":{"chapters":true}}
{"headings":["preface"],"options":{"chapters":true},"entries":[]}
2 changes: 1 addition & 1 deletion .quarto/xref/61fdca82
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{"headings":[],"options":{"chapters":true},"entries":[]}
{"entries":[],"options":{"chapters":true},"headings":[]}
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{"entries":[],"options":{"chapters":true},"headings":[]}
{"options":{"chapters":true},"entries":[],"headings":[]}
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2 changes: 1 addition & 1 deletion .quarto/xref/ef7f8ee6
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{"options":{"chapters":true},"entries":[],"headings":["case-study-of-bristol---continued","reflection"]}
{"entries":[],"headings":["case-study-of-bristol---continued","reflection"],"options":{"chapters":true}}
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{"headings":["temperature-and-urban-heat-island","group-assessment-key-points"],"options":{"chapters":true},"entries":[]}
{"headings":["temperature-and-urban-heat-island","group-assessment-key-points"],"entries":[],"options":{"chapters":true}}
2 changes: 1 addition & 1 deletion README.md
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Remote Sensing Repo for Learning Diary
Remote Sensing Module Learning Diary
1 change: 1 addition & 0 deletions _quarto.yml
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- week4.qmd
- week5.qmd
- week6.qmd
- week7.qmd
- summary.qmd
- rs_acronym.qmd
- references.qmd
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11 changes: 9 additions & 2 deletions docs/index.html
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<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./week6.html" class="sidebar-item-text sidebar-link">
<span class="menu-text">Week 6 Google Earth Engine</span></a>
<span class="menu-text">Week 6 Introduction to Google Earth Engine</span></a>
</div>
</li>
<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./week7.html" class="sidebar-item-text sidebar-link">
<span class="menu-text">Week 7 Classification with Google Earth Engine</span></a>
</div>
</li>
<li class="sidebar-item">
Expand Down Expand Up @@ -248,7 +254,8 @@ <h1 class="title">CASA 0023 Remote Sensing Learning Diary</h1>

<section id="preface" class="level1 unnumbered">
<h1 class="unnumbered">Preface</h1>
<p>This is a Quarto book.</p>
<p>A few disclaimers:</p>
<p>Special thanks:</p>
<p>To learn more about Quarto books visit <a href="https://quarto.org/docs/books" class="uri">https://quarto.org/docs/books</a>.</p>
<div class="cell">
<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(<span class="st">"hello this is Week 1"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<a href="./week6.html" class="sidebar-item-text sidebar-link">
<span class="menu-text">Week 6 Introduction to Google Earth Engine</span></a>
</div>
</li>
<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./week7.html" class="sidebar-item-text sidebar-link">
<span class="menu-text">Week 7 Classification with Google Earth Engine</span></a>
</div>
</li>
<li class="sidebar-item">
<div class="sidebar-item-container">
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</header>

<p>Hi, welcome to my CASA0023 Learning Diary. A bit about myself:</p>
<p>I am an engineer by training. Graduated from University of Alberta in 2015 with a B.Sc in Electrical Engineering. Been working in the ITS industry since. I’ve also got a Master of Information Technology from Monash University in 2019. Working as a graduate engineer in Melbourne for a few years and then product/solutions manager in the autonomous driving and smart cities industry.</p>
<p>I am an engineer by training. Graduated from University of Alberta in 2015 with a B.Sc in Electrical Engineering. Been working in the ITS(Intelligent Transportation Systems) industry since. I’ve also got a Master of Information Technology from Monash University in 2019. Working as a graduate engineer in Melbourne for a few years and then product/solutions manager in the autonomous driving and smart cities industry.</p>
<p>I am interested in transportation and urban evolution mostly. My career will be focusing on urban mobility and smart transportation from this degree on.</p>
<p>Besides working on transportation challenges, I like to imagine how technology will evolve with us, humanity, into the future. Read and watched quite a few science fictions and learning about random subjects. For example, I was into hand-made Corsi-Rosenthal boxes during 2021 and 2022.</p>
<div class="quarto-figure quarto-figure-center">
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<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./week3.html" class="sidebar-item-text sidebar-link">
<span class="menu-text">Week 3 Corrections</span></a>
<span class="menu-text">Week 3 Atmosphere Corrections</span></a>
</div>
</li>
<li class="sidebar-item">
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<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./week6.html" class="sidebar-item-text sidebar-link">
<span class="menu-text">Week 6 Google Earth Engine</span></a>
<span class="menu-text">Week 6 Introduction to Google Earth Engine</span></a>
</div>
</li>
<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./week7.html" class="sidebar-item-text sidebar-link">
<span class="menu-text">Week 7 Classification with Google Earth Engine</span></a>
</div>
</li>
<li class="sidebar-item">
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<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./rs_acronym.html" class="sidebar-item-text sidebar-link">
<span class="menu-text"><span class="chapter-number">1</span>&nbsp; <span class="chapter-title">Common Acronyms in Remote Sensing</span></span></a>
<span class="menu-text">Common Acronyms in Remote Sensing</span></a>
</div>
</li>
<li class="sidebar-item">
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</header>

<div id="refs" class="references csl-bib-body hanging-indent" role="list">
<div id="ref-sentinel" class="csl-entry" role="listitem">
Dolenc, Sabina. 2019. <span>“Sentinel-5P L2 - Sentinel Hub.”</span> <a href="https://sentinel-hub.com/en/api/products/S5PL2">https://sentinel-hub.com/en/api/products/S5PL2</a>.
</div>
<div id="ref-gao1996ndwi" class="csl-entry" role="listitem">
Gao, Bo-Cai. 1996. <span>“NDWI—a Normalized Difference Water Index for
Remote Sensing of Vegetation Liquid Water from Space.”</span> <em>Remote
Sensing of Environment</em> 58 (3): 257–66.
</div>
<div id="ref-gitelson1996use" class="csl-entry" role="listitem">
Gitelson, Anatoly A, Yoram J Kaufman, and Mark N Merzlyak. 1996.
<span>“Use of a Green Channel in Remote Sensing of Global Vegetation
from EOS-MODIS.”</span> <em>Remote Sensing of Environment</em> 58 (3):
289–98.
</div>
<div id="ref-huete2002overview" class="csl-entry" role="listitem">
Huete, Alfredo, Kamel Didan, Tomoaki Miura, E Patricia Rodriguez, Xiang
Gao, and Laerte G Ferreira. 2002. <span>“Overview of the Radiometric and
Biophysical Performance of the MODIS Vegetation Indices.”</span>
<em>Remote Sensing of Environment</em> 83 (1-2): 195–213.
</div>
<div id="ref-huete1988soil" class="csl-entry" role="listitem">
Huete, AR. 1988. <span>“A Soil-Adjusted Vegetation Index (SAVI). Remote
Ssensing of Environment, 25, 295-309.”</span>
</div>
<div id="ref-kaufman1992atmospherically" class="csl-entry" role="listitem">
Kaufman, Yoram J, and Didier Tanre. 1992. <span>“Atmospherically
Resistant Vegetation Index (ARVI) for EOS-MODIS.”</span> <em>IEEE
Transactions on Geoscience and Remote Sensing</em> 30 (2): 261–70.
</div>
<div id="ref-kochanski2021integration" class="csl-entry" role="listitem">
Kochanski, Adam K, Farren Herron-Thorpe, Derek V Mallia, Jan Mandel, and
Joseph K Vaughan. 2021. <span>“Integration of a Coupled Fire-Atmosphere
Model into a Regional Air Quality Forecasting System for Wildfire
Events.”</span> <em>Frontiers in Forests and Global Change</em> 4:
728726.
</div>
<div id="ref-ma2019deep" class="csl-entry" role="listitem">
Ma, Lei, Yu Liu, Xueliang Zhang, Yuanxin Ye, Gaofei Yin, and Brian Alan
Johnson. 2019. <span>“Deep Learning in Remote Sensing Applications: A
Meta-Analysis and Review.”</span> <em>ISPRS Journal of Photogrammetry
and Remote Sensing</em> 152: 166–77.
</div>
<div id="ref-maclachlan2017urban" class="csl-entry" role="listitem">
MacLachlan, Andrew, Eloise Biggs, Gareth Roberts, and Bryan Boruff.
2017. <span>“Urban Growth Dynamics in Perth, Western Australia: Using
Applied Remote Sensing for Sustainable Future Planning.”</span>
<em>Land</em> 6 (1): 9.
</div>
<div id="ref-milne1986use" class="csl-entry" role="listitem">
Milne, Anthony Kinnaird. 1986. <span>“The Use of Remote Sensing in
Mapping and Monitoring Vegetational Change Associated with Bushfire
Events in Eastern Australia.”</span> <em>Geocarto International</em> 1
(1): 25–32.
</div>
<div id="ref-navalgund2007remote" class="csl-entry" role="listitem">
Navalgund, Ranganath R, V Jayaraman, and PS Roy. 2007. <span>“Remote
Sensing Applications: An Overview.”</span> <em>Current Science</em>,
1747–66.
</div>
<div id="ref-qi1994modified" class="csl-entry" role="listitem">
Qi, Jiaguo, Abdelghani Chehbouni, Alfredo R Huete, Yann H Kerr, and
Soroosh Sorooshian. 1994. <span>“A Modified Soil Adjusted Vegetation
Index.”</span> <em>Remote Sensing of Environment</em> 48 (2): 119–26.
</div>
<div id="ref-tiernan2020australias" class="csl-entry" role="listitem">
Tiernan, Finbar, and Eamonn O’Mallon. 2020. <span>“Australia’s 2019–20
Bushfire Season.”</span> <em>The Canberra Times</em>, January. <a href="https://www.canberratimes.com.au/story/6600958/australias-2019-20-bushfire-season/">https://www.canberratimes.com.au/story/6600958/australias-2019-20-bushfire-season/</a>.
</div>
<div id="ref-trinder2020" class="csl-entry" role="listitem">
Trinder, John, and Qingxiang Liu. 2020. <span>“Assessing Environmental
Impacts of Urban Growth Using Remote Sensing.”</span> <em>Geo-Spatial
Expand All @@ -235,6 +298,28 @@ <h1 class="title">References</h1>
Remote Sensing: Proceedings of Concerted Action MAVIRIC (Machine Vision
in Remotely Sensed Image Comprehension)</em>, 5–11.
</div>
<div id="ref-wilson2002detection" class="csl-entry" role="listitem">
Wilson, Emily Hoffhine, and Steven A Sader. 2002. <span>“Detection of
Forest Harvest Type Using Multiple Dates of Landsat TM Imagery.”</span>
<em>Remote Sensing of Environment</em> 80 (3): 385–96.
</div>
<div id="ref-xue2017significant" class="csl-entry" role="listitem">
Xue, Jinru, Baofeng Su, et al. 2017. <span>“Significant Remote Sensing
Vegetation Indices: A Review of Developments and Applications.”</span>
<em>Journal of Sensors</em> 2017.
</div>
<div id="ref-yan2020semi" class="csl-entry" role="listitem">
Yan, Peiyao, Feng He, Yajie Yang, and Fei Hu. 2020.
<span>“Semi-Supervised Representation Learning for Remote Sensing Image
Classification Based on Generative Adversarial Networks.”</span>
<em>IEEE Access</em> 8: 54135–44.
</div>
<div id="ref-zhu2017change" class="csl-entry" role="listitem">
Zhu, Zhe. 2017. <span>“Change Detection Using Landsat Time Series: A
Review of Frequencies, Preprocessing, Algorithms, and
Applications.”</span> <em>ISPRS Journal of Photogrammetry and Remote
Sensing</em> 130: 370–84.
</div>
</div>


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<nav class="page-navigation">
<div class="nav-page nav-page-previous">
<a href="./rs_acronym.html" class="pagination-link">
<i class="bi bi-arrow-left-short"></i> <span class="nav-page-text"><span class="chapter-number">1</span>&nbsp; <span class="chapter-title">Common Acronyms in Remote Sensing</span></span>
<i class="bi bi-arrow-left-short"></i> <span class="nav-page-text">Common Acronyms in Remote Sensing</span>
</a>
</div>
<div class="nav-page nav-page-next">
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<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./week6.html" class="sidebar-item-text sidebar-link">
<span class="menu-text">Week 6 Google Earth Engine</span></a>
<span class="menu-text">Week 6 Introduction to Google Earth Engine</span></a>
</div>
</li>
<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./week7.html" class="sidebar-item-text sidebar-link">
<span class="menu-text">Week 7 Classification with Google Earth Engine</span></a>
</div>
</li>
<li class="sidebar-item">
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<p>GNDVI (Green Normalized Difference Vegetation Index)</p>
<p>GPS: Global Positioning System</p>
<p>Landsat: Land Satellite</p>
<p>LIDAR: Light Detection and Ranging</p>
<p><a href="https://en.wikipedia.org/wiki/Lidar">LiDAR</a>: Light Detection and Ranging</p>
<p>MODIS: Moderate Resolution Imaging Spectroradiometer</p>
<p>MSAVI (Modified Soil-Adjusted Vegetation Index)</p>
<p><a href="./week3.html">MSAVI (Modified Soil-Adjusted Vegetation Index)</a></p>
<p>NDMI: Normalized Difference Moisture Index.</p>
<p>NDVI: Normalized Difference Vegetation Index</p>
<p>NDWI (Normalized Difference Water Index)</p>
<p>NOAA: <a href="https://oceanservice.noaa.gov/about/">National Oceanic and Atmospheric Administration</a></p>
<p>PCA: Principal Component Analysis</p>
<p>POI: Point of Interest</p>
<p>ROI: Region of Interest</p>
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