Digital Earth Africa: DEA101-en Introduction to Digital Earth Africa: Platforms & Sandbox (English)

<div class="xblock xblock-public_view xblock-public_view-vertical" data-course-id="course-v1:digitalearthafrica+DEA101+2021" data-init="VerticalStudentView" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="vertical" data-usage-id="block-v1:digitalearthafrica+DEA101+2021+type@vertical+block@8707dcb95a0043429ab69138e045e5c3" data-request-token="f4981b6c4d0011f1b4d66b8c55c4de7e" data-graded="False" data-has-score="False"> <div class="vert-mod"> <div class="vert vert-0" data-id="block-v1:digitalearthafrica+DEA101+2021+type@html+block@b28710199f7145928700beeceecae5df"> <div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:digitalearthafrica+DEA101+2021" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:digitalearthafrica+DEA101+2021+type@html+block@b28710199f7145928700beeceecae5df" data-request-token="f4981b6c4d0011f1b4d66b8c55c4de7e" data-graded="False" data-has-score="False"> <script type="json/xblock-args" class="xblock-json-init-args"> {"xmodule-type": "HTMLModule"} </script> <h3 class="pf0"><strong><span class="cf0">1.4.1.1 Clearing the notebook</span></strong></h3> <p class="pf0"><span class="cf0">Notebooks on the Sandbox come pre-run. This means some of the outputs will already be visible, but some will not. It is best practice to restart and clear the notebook before running.</span></p> <p class="pf0"><span class="cf0">Double-click your copied </span><code><span class="cf0" style="color: #ff0000;">Crop_health.ipynb</span></code><span class="cf0"> notebook to open it.</span></p> <p class="pf0" style="padding-left: 30px;"><span class="cf0">1. In the main menu, click <strong>Kernel -&gt; Restart Kernel</strong> and <strong>Clear All Outputs.</strong> When asked whether you want to restart the kernel, click <strong>Restart.</strong></span></p> <p class="pf0"><span class="cf0"><strong><img height="226" width="655" src="/assets/courseware/v1/05268b04b709e07bbc77585f3e39335e/asset-v1:digitalearthafrica+DEA101+2021+type@asset+block/Image65.png" alt="Restart image" /></strong></span></p> <p class="pf0" style="padding-left: 30px;">2. <span style="font-size: 1em;">Read the <strong>Background</strong> and <strong>Description</strong> sections in the notebook to learn more about the notebook.</span></p> </div> </div> <div class="vert vert-1" data-id="block-v1:digitalearthafrica+DEA101+2021+type@html+block@bdb3277d2d624e7bb2df8145e4be88a6"> <div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:digitalearthafrica+DEA101+2021" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:digitalearthafrica+DEA101+2021+type@html+block@bdb3277d2d624e7bb2df8145e4be88a6" data-request-token="f4981b6c4d0011f1b4d66b8c55c4de7e" data-graded="False" data-has-score="False"> <script type="json/xblock-args" class="xblock-json-init-args"> {"xmodule-type": "HTMLModule"} </script> <h3 class="pf0"><strong><span style="font-size: 1em;">1.4.1.2 Loading packages and functions</span></strong></h3> <p><span style="font-size: 1em;">_____________________________________________________________<br /></span></p> <p dir="ltr" style="line-height: 1.7999999999999998; margin-top: 0pt; margin-bottom: 0pt;"><span style="font-size: 9pt; font-family: 'Roboto Mono',monospace; color: #37474f; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">%matplotlib inline</span></p> <p dir="ltr" style="line-height: 1.7999999999999998; margin-top: 0pt; margin-bottom: 0pt;"><span style="font-size: 9pt; font-family: 'Roboto Mono',monospace; color: #1967d2; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">import</span><span style="font-size: 9pt; font-family: 'Roboto Mono',monospace; color: #37474f; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> datacube</span></p> <p dir="ltr" style="line-height: 1.7999999999999998; margin-top: 0pt; margin-bottom: 0pt;"><span style="font-size: 9pt; font-family: 'Roboto Mono',monospace; color: #1967d2; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">from</span><span style="font-size: 9pt; font-family: 'Roboto Mono',monospace; color: #37474f; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> deafrica_tools.app.crophealth </span><span style="font-size: 9pt; font-family: 'Roboto Mono',monospace; color: #1967d2; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">import</span><span style="font-size: 9pt; font-family: 'Roboto Mono',monospace; color: #37474f; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> load_crophealth_data</span></p> <p dir="ltr" style="line-height: 1.7999999999999998; margin-top: 0pt; margin-bottom: 0pt;"><b style="font-weight: normal;" id="docs-internal-guid-9996b6ee-7fff-4cee-c824-b5ba486b881c"><span style="font-size: 9pt; font-family: 'Roboto Mono',monospace; color: #1967d2; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">from</span><span style="font-size: 9pt; font-family: 'Roboto Mono',monospace; color: #37474f; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> deafrica_tools.app.crophealth </span><span style="font-size: 9pt; font-family: 'Roboto Mono',monospace; color: #1967d2; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">import</span><span style="font-size: 9pt; font-family: 'Roboto Mono',monospace; color: #37474f; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> run_crophealth_app</span></b></p> <p><span style="font-size: 1em;">_____________________________________________________________</span></p> <p class="pf0"></p> <p class="pf0"><span class="cf0">To load the necessary packages and functions:</span></p> <ol> <li><span class="cf0">In the </span><code><span class="cf0" style="color: #ff0000;">Crop_health.ipynb</span></code><span class="cf0"> notebook, click on the code cell that matches the code block above.</span></li> <li><span class="cf0">Press <code><span style="color: #ff0000;">Shift + Enter</span></code> on your keyboard to run the cell.</span></li> <li>When the cell has finished running, the <code style="background-color: #ffffff;"><span style="color: #ff0000;">[ ]</span></code> icon to the left of the cell should change to <code style="background-color: #ffffff;"><span style="color: #ff0000;">[1]</span></code>, as shown below. This indicates that the cell has finished running. The number <code style="background-color: #ffffff;"><span style="color: #ff0000;">1</span></code> indicates that this was the first cell run in the notebook. </li> </ol> <p><span id="docs-internal-guid-d103dcde-7fff-05e3-b586-217acdd8a3bb"><span style="font-size: 10.5pt; font-family: Inter, sans-serif; color: #1c1c1c; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"><span style="border: none; display: inline-block; overflow: hidden; width: 482px; height: 100px;"><img 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" width="665" height="138" style="margin-left: 0px; margin-top: 0px;" /></span></span></span></p> </div> </div> <div class="vert vert-2" data-id="block-v1:digitalearthafrica+DEA101+2021+type@html+block@989cdb7221e34ab58a83bb5623c5a900"> <div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:digitalearthafrica+DEA101+2021" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:digitalearthafrica+DEA101+2021+type@html+block@989cdb7221e34ab58a83bb5623c5a900" data-request-token="f4981b6c4d0011f1b4d66b8c55c4de7e" data-graded="False" data-has-score="False"> <script type="json/xblock-args" class="xblock-json-init-args"> {"xmodule-type": "HTMLModule"} </script> <h3><strong>1.4.1.3 Picking a study site</strong></h3> <p class="pf0"><span class="cf0">Next, we have to provide the area of interest using latitude, longitude, and a buffer, which describes how many square degrees to load around the set latitude and longitude values. We also set a date. Data from two years up to this date will be loaded.</span></p> <p class="pf0"><span class="cf0">For now, keep the values that have been set. The notebook will turn this into a bounding box, which will be used to load the data.</span></p> <ol> <li><span class="cf0">Click on the cell corresponding to the code block below in the notebook.  </span></li> </ol> <p><span class="cf0">_____________________________________________________________<br /></span></p> <p dir="ltr" style="line-height: 1.7999999999999998; margin-top: 10pt; margin-bottom: 0pt;"><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #b80672; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"># Define the area of interest for the analysis</span></p> <p dir="ltr" style="line-height: 1.7999999999999998; margin-top: 10pt; margin-bottom: 0pt;"><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">lat</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #b80672; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">=</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #b80672; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #c5221f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">14</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">.</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #c5221f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">789064</span></p> <p dir="ltr" style="line-height: 1.7999999999999998; margin-top: 10pt; margin-bottom: 0pt;"><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">lon</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #b80672; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">=</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #b80672; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #c5221f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">-17</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">.</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #c5221f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">065202</span></p> <p dir="ltr" style="line-height: 1.7999999999999998; margin-top: 10pt; margin-bottom: 0pt;"><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">buffer</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #b80672; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">=</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #b80672; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #c5221f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">0</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">.</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #c5221f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">005</span><span style="background-color: transparent; font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">date</span><span style="background-color: transparent; font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #b80672; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="background-color: transparent; font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">=</span><span style="background-color: transparent; font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #b80672; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="background-color: transparent; font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #188038; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">'2020-08-01'</span></p> <p><span class="cf0">_____________________________________________________________</span></p> <p></p> <p class="pf0" style="font-size: 16px; padding-left: 30px;"><code><span class="cf0"><span style="color: #ff0000;"><span style="color: #3c3c3c; font-family: 'Open Sans', Verdana, Arial, Helvetica, sans-serif;">2. </span></span></span></code><span style="font-size: 1em;">Press <code><span style="color: #ff0000;">Shift + Enter</span></code> on your keyboard to run the cell.</span><span style="background-color: initial;"> </span></p> <p class="pf0" style="font-size: 16px; padding-left: 30px;"><span style="background-color: initial;">3. </span><span style="font-size: 1em;">When the cell has finished running, the <code><span style="color: #ff0000;">[ ]</span></code> icon to the left of the cell should change to <code><span style="color: #ff0000;">[2]</span></code>.</span><span style="background-color: initial;"> </span></p> <p class="pf0" style="font-size: 16px;"><img height="182" width="658" src="/assets/courseware/v1/3e1048390dfb1b9a5a73db029def4e15/asset-v1:digitalearthafrica+DEA101+2021+type@asset+block/Image67.png" alt="Image" /></p> </div> </div> <div class="vert vert-3" data-id="block-v1:digitalearthafrica+DEA101+2021+type@html+block@5495e1d39ae845a895eb8263062adae4"> <div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:digitalearthafrica+DEA101+2021" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:digitalearthafrica+DEA101+2021+type@html+block@5495e1d39ae845a895eb8263062adae4" data-request-token="f4981b6c4d0011f1b4d66b8c55c4de7e" data-graded="False" data-has-score="False"> <script type="json/xblock-args" class="xblock-json-init-args"> {"xmodule-type": "HTMLModule"} </script> <h3 class="pf0"><strong><span class="cf0">1.4.1.4 Loading the data</span></strong></h3> <p class="pf0"><span class="cf0">This notebook uses a special function called </span><code><span class="cf0" style="color: #ff0000;">load_crophealth_data</span></code><span class="cf0"> to load the required data. Later in this training course, you will learn how to write your own data loading commands.</span></p> <p class="pf0"><span class="cf0">The cell containing this function is shown in the </span><span class="cf0">codeblock</span><span class="cf0"> below:<br />_____________________________________________________________<br /><span id="docs-internal-guid-fe669118-7fff-44a9-62e0-11abfd32616b"><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">dataset</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #1c1c1c; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">=</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #1c1c1c; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">load_crophealth_data(lat,</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #1c1c1c; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">lon,</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #1c1c1c; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">buffer,</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #1c1c1c; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">date)</span></span><br />_____________________________________________________________</span></p> <p class="pf0"><span class="cf0">The </span><code><span class="cf0" style="color: #ff0000;">load_crophealth_data</span></code><span class="cf0"> function goes through a number of steps. It identifies the </span><span style="font-size: 1em;">available Sentinel-2 data over the last two years, then masks the bad quality pixels such as cloud and cloud shadow. After the masking step, the function only keeps images where more than half the pixels are good. Finally, it calculates the Normalised Difference Vegetation Index (NDVI) and returns the data. The returned data are stored in the <code><span style="color: #ff0000;">dataset</span></code> object.</span></p> <p class="pf0"></p> <p class="pf0"><span class="cf0">To run the cell:</span></p> <ol> <li>Click on the cell corresponding to the code block above in the notebook.</li> <li>Press Shift + Enter on your keyboard to run the cell. Outputs should start to appear below the cell.</li> <li>When the cell has finished running, the <code><span style="color: #ff0000;">[ ]</span></code> icon to the left of the cell should change to <code><span style="color: #ff0000;">[3]</span></code>.</li> </ol> <p class="pf0" style="font-size: 16px;"><span class="cf0">As the cell is running, you should see outputs describing the function’s actions. The output is shown in the image below:</span></p> <p><img height="158" width="656" src="/assets/courseware/v1/33b75c88b4fea8dfe5d5e07ed33b78bd/asset-v1:digitalearthafrica+DEA101+2021+type@asset+block/Image68.png" alt="Image" /></p> <p>In this case, the function identified 164 observations over the last 5 years, then kept and loaded 104 that met the quality requirements.</p> </div> </div> <div class="vert vert-4" data-id="block-v1:digitalearthafrica+DEA101+2021+type@html+block@36c9c2b9d85944b08e37e96f5a1daabc"> <div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:digitalearthafrica+DEA101+2021" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:digitalearthafrica+DEA101+2021+type@html+block@36c9c2b9d85944b08e37e96f5a1daabc" data-request-token="f4981b6c4d0011f1b4d66b8c55c4de7e" data-graded="False" data-has-score="False"> <script type="json/xblock-args" class="xblock-json-init-args"> {"xmodule-type": "HTMLModule"} </script> <h3 class="pf0"><strong><span class="cf0">1.4.1.5 Running the Crop Health app</span></strong></h3> <p class="pf0"><span class="cf0">After loading the data, you can visualise the health of various fields using the </span><code><span class="cf0" style="color: #ff0000;">run_crophealth_app</span></code><span class="cf0"> function. This is a special function for this notebook, which takes the <code><span style="color: #ff0000;">dataset</span> </code>you loaded, as well as the latitude, longitude and buffer parameters that define the area of interest. It then starts an interactive app that you can use to measure the average NDVI in different fields.</span></p> <p class="pf0"><span class="cf0">The cell containing this function is shown in the code block below:<br />_____________________________________________________________<br /><span id="docs-internal-guid-8a49a1b7-7fff-a6a1-32c2-55198a6347c8"><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">run_crophealth_app(dataset,</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #1c1c1c; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">lat,</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #1c1c1c; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">lon,</span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #1c1c1c; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;"> </span><span style="font-size: 9pt; font-family: 'Roboto Mono', monospace; color: #37474f; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;">buffer)</span></span><br />_____________________________________________________________</span></p> <ol> <li>Click on the cell corresponding to the code block above in the notebook.</li> <li><span style="font-size: 1em;">Press Shift + Enter on your keyboard to run the cell. An interactive app should appear, as shown in the image below:</span></li> </ol> <p><img height="419" width="653" src="/assets/courseware/v1/dab34fe1164430fd200d1d3700b52a78/asset-v1:digitalearthafrica+DEA101+2021+type@asset+block/Image69.png" alt="Image" /><br /><br /></p> <p style="padding-left: 30px;">3. <span style="font-size: 1em;">The left-hand side of the app contains a map, which will allow you to draw a polygon around a field of interest. Click the <strong>Polygon icon</strong>, then click points on the map to outline an area, as shown below:</span></p> <p><span style="font-size: 1em;"><img height="418" width="652" src="/assets/courseware/v1/a1b47c879cedbdbf0ac01f3d089226b3/asset-v1:digitalearthafrica+DEA101+2021+type@asset+block/Image70.png" alt="Image" /></span></p> <p><span class="cf0"><strong>Note</strong>: The map in this app shows an ESRI </span><span class="cf0">basemap</span><span class="cf0"> which is higher resolution than the Sentinel-2 data used to calculate the NDVI index. The purpose of the map is to guide you in drawing field boundaries.</span></p> <p class="pf0" style="padding-left: 30px;"><span style="font-size: 1em;">4. </span><span style="font-size: 1em;">Click the first point of the polygon to finish selecting the area. The app will then calculate the average NDVI for that area and display it on the right-hand side of the app, as shown below:</span></p> <p class="pf0"><span style="font-size: 1em;"><img height="293" width="654" src="/assets/courseware/v1/7e7291a434554bf0e90263e13eb2e480/asset-v1:digitalearthafrica+DEA101+2021+type@asset+block/Image71.png" alt="Imge" /></span></p> <p class="pf0">The cycles in the graph are likely related to growth and harvesting events.<br /><br /></p> <p class="pf0" style="padding-left: 30px;"><span style="font-size: 1em;">5. </span>It is possible to draw multiple polygons and compare the vegetation index over time of different fields. Click the <strong>Polygon icon</strong> to draw a second polygon:</p> <p class="pf0"><img height="290" width="654" src="/assets/courseware/v1/b8ddd7923811a8978dc03f36bb2fcf53/asset-v1:digitalearthafrica+DEA101+2021+type@asset+block/Image72.png" alt="Image" /></p> </div> </div> </div> <script type="text/javascript"> (function (require) { require(['/static/js/dateutil_factory.be68acdff619.js?raw'], function () { require(['js/dateutil_factory'], function (DateUtilFactory) { DateUtilFactory.transform('.localized-datetime'); }); }); }).call(this, require || RequireJS.require); </script> <script> function emit_event(message) { parent.postMessage(message, '*'); } </script> </div>