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    <title>Data Science | YB&#39;s</title>
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      <title>Gully Erosion Project</title>
      <link>https://ybportfolio.netlify.app/project/gully_erosion_project/</link>
      <pubDate>Tue, 30 May 2023 00:00:00 +0000</pubDate>
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&lt;div align=&#34;center&#34;&gt;
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  &lt;h3 align=&#34;center&#34;&gt;Gully Erosion Project &lt;/h3&gt;
  &lt;p align=&#34;center&#34;&gt;
    Gully erosion susceptibility considering spatiotemporal environmental variables: Midwest U.S. region
    &lt;br /&gt;
    &lt;a href=&#34;https://pdf.sciencedirectassets.com/287972/1-s2.0-S2214581821X00110/1-s2.0-S2214581822002099/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjELz%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJGMEQCIDl8dDPkuL9Qk%2F7XazSJymLPWU10PZsiCQyuDKWWeKEIAiALGskcsbGMm%2FiY47sTrPDRKap9CwfPxwI4lWAQFluXhSqzBQg1EAUaDDA1OTAwMzU0Njg2NSIMP0RBBumrENRMnipdKpAFb8oryBTNS0M8jpNlhHjtQS3REF14QXdPU9mM%2FFrFxCOe4gNWbNq9Q2dS%2B1B39bWY56xCpJxt%2FNcxErra1SoLUL%2F4r%2F3H1DStqU2jn6YYTfwdhq%2Fzf8P5%2BorAbEC8MOsyXJWfFiSzsPoW8e19%2BvS9FVv4TsUSedNZPG680MXDuVm%2ByUQGRDUisEj0Pt9qATtRxwLRhJXEo6IDSHlWw65MfTyyc8Ktm126OF%2FaaXrsubgQhZXXKvEsGYjdQD17Yd8PjufMOGYF51UHtw8K2CmPd9yt1cd8i0dltd%2BOmURvW%2FrP3jSS%2BT%2Fylrm7unM4lm%2FX%2FyNKgThyrZtQ0SUMxXMVQWQtg1bjZWO%2BWQQYQgiMsQNfbhiDH3X7ZJdD5OKpz3jGtdFxApiygsh59kga5bfHLNh%2F2ycn5%2FBbHVCRy3PIgbQwatTKEYhABpUprTHiCe4Ql2VyC0AHsnFImtghynl8qL1tAu5jk61UTwzeGlLnVgtcNUei%2BgXqggt4rjG%2FtPAZTXv89%2F1xw7%2F5ZY%2B8RDq2UKfzgvL9KhnV9zMQwuPMoqesKOxA1CKTrqTLzsnynDY9FuRHJMi711pNTc%2BwYFyA6KWzcWT0xjdImhGC4nX%2FEIqj%2FQV59lFgQhiuxW8XK6BXkDI61v%2F87sOXuzyWZnWbHh435PQ71PYGQIbr%2FUk%2Fm64rqeBibdxizqeXlDy0xxzPPCH0IWaHhjioiKcohgGADBqcTx%2FwfZg3mglYfapT74CIysAhmuRNDAJgKEmkzhdk0ywU325uDKkBf%2BNg%2Fo57%2FMMRJI6b5NbmhXpnqBISAStZHirvLkHOJoI95FXa3x3vvU7XNJ15l3sF2o94IbBMOWdH046Zioqz2iUOKkfHljYw5Y2XpQY6sgEa8SENButCTREX9XS3KHz8CyzDfd95PwQnmpFyOwfIqTqiBu%2FcoxZEO9%2B9zSwODxXpqwQVqNxas2XTtsMQvq%2BW2kz3tIGN60%2F58I3rxhVsMa0%2FA34Ln4MPNfnKevP3bSUzJAuN3U958bNEWJ3WCoxrpdGbWaYnpADZfjATkcTzDPP%2BywgQlHvcOI6YmLoP%2Fs1Kpsz%2FvlqkfwxqwyIvcSRNIMKWBWUV3q6QbwdqZgSNLD83&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20230705T200228Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTYWCKXT5S7%2F20230705%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=73c1eb7aad152774d8f3bfeb3d0ec023d9c73b0d45b56326873730f317f4e6ab&amp;hash=6b91426abc5a48edb1f2cb37d5bd9761d537690c42c645313a69fcf636f1a649&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S2214581822002099&amp;tid=spdf-490a61c2-1748-4ff7-ab06-2079aaab4fc6&amp;sid=16b1291b842e9643f19868068dd96ff66b71gxrqa&amp;type=client&amp;tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;ua=1015520a565052510007&amp;rr=7e2234ae68930fa1&amp;cc=us&#34;&gt;&lt;strong&gt;Explore the docs »&lt;/strong&gt;&lt;/a&gt;
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    ·
    &lt;a href=&#34;https://github.com/0beansprout/gully_erosion_project/issues&#34;&gt;Report Bug&lt;/a&gt;
    ·
    &lt;a href=&#34;https://github.com/0beansprout/gully_erosion_project/issues&#34;&gt;Request Feature&lt;/a&gt;
  &lt;/p&gt;
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&lt;!-- TABLE OF CONTENTS --&gt;
&lt;!-- &lt;details&gt;
  &lt;summary&gt;Table of Contents&lt;/summary&gt;
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      &lt;a href=&#34;#about-the-project&#34;&gt;About The Project&lt;/a&gt;
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    &lt;li&gt;
      &lt;a href=&#34;#getting-started&#34;&gt;Getting Started&lt;/a&gt;
      &lt;ul&gt;
        &lt;li&gt;&lt;a href=&#34;#prerequisites&#34;&gt;Prerequisites&lt;/a&gt;&lt;/li&gt;
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  &lt;/ol&gt;
&lt;/details&gt; --&gt;
&lt;!-- ABOUT THE PROJECT --&gt;
&lt;h3 id=&#34;about-the-project&#34;&gt;About The Project&lt;/h3&gt;
&lt;p&gt;&lt;a href=&#34;https://imgur.com/wtOHuW5&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;















&lt;figure  &gt;
  &lt;div class=&#34;d-flex justify-content-center&#34;&gt;
    &lt;div class=&#34;w-100&#34; &gt;&lt;img src=&#34;https://imgur.com/wtOHuW5.png&#34; alt=&#34;Product Name Screen Shot&#34; loading=&#34;lazy&#34; data-zoomable /&gt;&lt;/div&gt;
  &lt;/div&gt;&lt;/figure&gt;
&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;The objective of this project is to develop a Python-based sample model capable of analyzing data more efficiently, utilizing the data from a research paper on gully erosion as the primary source. The mentioned paper specifically focuses on various aspects, including the assessment of spatiotemporal environmental variables driving gully erosion in agricultural lands, prediction and mapping of gully erosion susceptibility using the Maxent model, and analysis of geospatial features of vulnerable areas affected by gully erosion development.&lt;/p&gt;
&lt;!-- &lt;p align=&#34;right&#34;&gt;(&lt;a href=&#34;#readme-top&#34;&gt;back to top&lt;/a&gt;)&lt;/p&gt; --&gt;
&lt;h3 id=&#34;built-with&#34;&gt;Built With&lt;/h3&gt;
&lt;!-- This section should list any major frameworks/libraries used to bootstrap your project. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples. --&gt;
&lt;p&gt;&lt;a href=&#34;https://www.python.org/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;















&lt;figure  &gt;
  &lt;div class=&#34;d-flex justify-content-center&#34;&gt;
    &lt;div class=&#34;w-100&#34; &gt;&lt;img src=&#34;https://img.shields.io/badge/python-3670A0?style=for-the-badge&amp;amp;logo=python&amp;amp;logoColor=ffdd54&#34; alt=&#34;Python_logo&#34; loading=&#34;lazy&#34; data-zoomable /&gt;&lt;/div&gt;
  &lt;/div&gt;&lt;/figure&gt;
&lt;/a&gt;  &lt;a href=&#34;https://jupyter.org/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;















&lt;figure  &gt;
  &lt;div class=&#34;d-flex justify-content-center&#34;&gt;
    &lt;div class=&#34;w-100&#34; &gt;&lt;img src=&#34;https://img.shields.io/badge/jupyter-%23FA0F00.svg?style=for-the-badge&amp;amp;logo=jupyter&amp;amp;logoColor=white&#34; alt=&#34;Jupyter Notebook_logo&#34; loading=&#34;lazy&#34; data-zoomable /&gt;&lt;/div&gt;
  &lt;/div&gt;&lt;/figure&gt;
&lt;/a&gt;&lt;/p&gt;
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&lt;!-- GETTING STARTED --&gt;
&lt;h3 id=&#34;getting-started&#34;&gt;Getting Started&lt;/h3&gt;
&lt;p&gt;We have some sample jupyter notebooks, feel free to observe them. you can find more information &lt;a href=&#34;https://www.sciencedirect.com/science/article/pii/S2214581822002117&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;here&lt;/a&gt;.&lt;/p&gt;
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&lt;p align=&#34;right&#34;&gt;(&lt;a href=&#34;#readme-top&#34;&gt;back to top&lt;/a&gt;)&lt;/p&gt; --&gt;
&lt;!-- USAGE EXAMPLES --&gt;
&lt;h3 id=&#34;usage&#34;&gt;Usage&lt;/h3&gt;
&lt;p&gt;If you have some similar files such as raster, .tif, and data related to the gully erosion, you can experiment with the following sample Python code. It can serve as a starting point for your analysis&lt;/p&gt;
&lt;!-- _For more examples, please refer to the [Documentation](https://example.com)_ --&gt;
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&lt;!-- ROADMAP --&gt;
&lt;!-- ## Roadmap

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Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**.

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&lt;!-- LICENSE --&gt;
&lt;h3 id=&#34;license&#34;&gt;License&lt;/h3&gt;
&lt;p&gt;Distributed under the MIT License. See &lt;code&gt;LICENSE&lt;/code&gt; for more information.&lt;/p&gt;
&lt;p&gt;Reference Link: &lt;a href=&#34;https://www.sciencedirect.com/science/article/pii/S2214581822002099#fig0010&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;https://www.sciencedirect.com/science/article/pii/S2214581822002099#fig0010&lt;/a&gt;&lt;/p&gt;
&lt;!-- &lt;p align=&#34;right&#34;&gt;(&lt;a href=&#34;#readme-top&#34;&gt;back to top&lt;/a&gt;)&lt;/p&gt; --&gt;
&lt;!-- CONTACT --&gt;
&lt;h3 id=&#34;contact&#34;&gt;Contact&lt;/h3&gt;
&lt;p&gt;Youngbeen Oh - &lt;a href=&#34;https://linkedin.com/in/youngbeen-oh&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;@0beansprout&lt;/a&gt; - &lt;a href=&#34;mailto:oyb7140@gmail.com&#34;&gt;oyb7140@gmail.com&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Project Link: &lt;a href=&#34;https://github.com/0beansprout/gully_erosion_project&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;https://github.com/0beansprout/gully_erosion_project&lt;/a&gt;&lt;/p&gt;
&lt;p align=&#34;right&#34;&gt;(&lt;a href=&#34;#readme-top&#34;&gt;back to top&lt;/a&gt;)&lt;/p&gt;
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