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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">Hi All<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">False color (or false colour) refers to a group of color rendering methods used to display images in color which were recorded in the visible or non-visible
parts of the electromagnetic spectrum. <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">A false-color image is an image that depicts an object in colors that differ from those a photograph (a "true-color" image) would show. The simplest false-color
encoding is to take an RGB image in the visible spectrum, but map it differently, e.g. "GBR→RGB". For "traditional false-color" satellite images of Earth a "NRG→RGB" mapping is used, with "N" being the near-infrared spectral band (and the blue spectral band
being unused) – this yields the typical "vegetation in red" false-colour images.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">It is not correct to say that false colour = colour infrared, because CIR is one of the many encoding (combinations) of false colour .<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">CIR is created when the bands are displayed in the following order:G,B,NIR<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US" style="font-size:10.0pt;font-family:"Tahoma","sans-serif"">From:</span></b><span lang="EN-US" style="font-size:10.0pt;font-family:"Tahoma","sans-serif""> Africa [mailto:africa-bounces@lists.osgeo.org]
<b>On Behalf Of </b>Khalid Mather<br>
<b>Sent:</b> 01 November 2016 03:26 PM<br>
<b>To:</b> Africa local chapter discussions<br>
<b>Subject:</b> Re: [OSGeo Africa] CIR and False Colour<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p>Wow thanks theo for the wealth of information, my lecturer is also a part of this mailing forum and he lambasted me for asking elementary questions
<span style="font-family:"Segoe UI Symbol","sans-serif"">😂</span>, but if you dont know you gotta ask right?
<br>
(CiR are false colors btw)<o:p></o:p></p>
<p>.anyways I do have time, because this is going to be part of my masters work . I will table these suggestions to him and get back to you if needed.
<o:p></o:p></p>
<p>Thank you so much once again Sir<o:p></o:p></p>
<p>Warmest Regards<br>
Khalid Mather<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">On 01 Nov 2016 15:19, <<a href="mailto:theo@integritsense.co.za">theo@integritsense.co.za</a>> wrote:<o:p></o:p></p>
<p>Hi Khalid<o:p></o:p></p>
<p>SANSA has access to ADS Pleiades 0.5m GSD satellite imagery (can be tasked, or you can look for catalogue).<o:p></o:p></p>
<p>1. That should fit the student budget.<o:p></o:p></p>
<p>2. Unsure.<o:p></o:p></p>
<p>3. Try SANSA, maybe? Otherwise the CGA at Stellenbosch University.<o:p></o:p></p>
<p>4. OBIA packages, or (if you are feeling very lucky and have time to train the classifier, supervised pixel based image classifiers coupled with a DSM and DEM).<o:p></o:p></p>
<p>Alternatively, there are UAV based solutions out there. If you need help with those, give me a shout. We have pretty good contacts that side that could do it, whom we have used before.<o:p></o:p></p>
<p>Best regards,<br>
Theo<o:p></o:p></p>
<p>Theo Pistorius<br>
Founder: IntegriSense & DroneClouds<br>
<a href="tel:%2B27%2079%20798%208558" target="_blank">+27 79 798 8558</a><br>
<a href="mailto:theo@integritsense.co.za" target="_blank">theo@integritsense.co.za</a><o:p></o:p></p>
<p>From: Khalid Mather<br>
Sent: Monday 31 October, 14:55<br>
Subject: [OSGeo Africa] CIR and False Colour<br>
To: Africa local chapter discussions<o:p></o:p></p>
<div>
<p>Hi Guys , hope you are all keeping well.<o:p></o:p></p>
<p>I am attempting a project to measure street Tree biomass or tree presence in the greater Durban region. I have a few questions though
<o:p></o:p></p>
<p>1. is very high spatial resolution data available for use (on a students budget)
<o:p></o:p></p>
<p>2. are Colour Infra-Red and False Colour images the same thing?<o:p></o:p></p>
<p>3. Where can I find CIR/ False colour images of Durban?<o:p></o:p></p>
<p>4. Does anyone have any input as to how this project can be achieved with as few additional resources as possible?
<span style="font-family:"Segoe UI Symbol","sans-serif"">😂</span><o:p></o:p></p>
<p>Thanks and kind Regards<o:p></o:p></p>
<p style="margin-bottom:12.0pt">Khalid Mather<o:p></o:p></p>
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