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💧🌏 Greg Cocks<p>A Methodology For The Multitemporal Analysis Of Land Cover Changes And Urban Expansion Using Synthetic Aperture Radar (SAR) Imagery - A Case Study Of The Aburrá Valley In Colombia<br>--<br><a href="https://doi.org/10.3390/rs17030554" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.3390/rs17030554</span><span class="invisible"></span></a> &lt;-- shared paper<br>--<br><a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GIS</span></a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spatial</span></a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mapping</span></a> <a href="https://techhub.social/tags/SyntheticApertureRadar" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SyntheticApertureRadar</span></a> <a href="https://techhub.social/tags/SAR" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SAR</span></a> <a href="https://techhub.social/tags/remotesensing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>remotesensing</span></a> <a href="https://techhub.social/tags/multitemporalanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>multitemporalanalysis</span></a> <a href="https://techhub.social/tags/landcover" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>landcover</span></a> <a href="https://techhub.social/tags/landcoverchange" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>landcoverchange</span></a> <a href="https://techhub.social/tags/clustering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>clustering</span></a> <a href="https://techhub.social/tags/kurtosis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>kurtosis</span></a> <a href="https://techhub.social/tags/fuzzylogic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fuzzylogic</span></a> <a href="https://techhub.social/tags/kernelbasedmethod" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>kernelbasedmethod</span></a> <a href="https://techhub.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://techhub.social/tags/spatialanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spatialanalysis</span></a> <a href="https://techhub.social/tags/spatiotemporal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spatiotemporal</span></a> <a href="https://techhub.social/tags/geostatistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geostatistics</span></a> <a href="https://techhub.social/tags/model" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>model</span></a> <a href="https://techhub.social/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://techhub.social/tags/Aburr%C3%A1Valley" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AburráValley</span></a> <a href="https://techhub.social/tags/Columbia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Columbia</span></a> <a href="https://techhub.social/tags/urban" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>urban</span></a> <a href="https://techhub.social/tags/urbanexpansion" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>urbanexpansion</span></a> <a href="https://techhub.social/tags/population" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>population</span></a> <a href="https://techhub.social/tags/growth" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>growth</span></a> <a href="https://techhub.social/tags/topography" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>topography</span></a> <a href="https://techhub.social/tags/monitoring" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>monitoring</span></a> <a href="https://techhub.social/tags/satellite" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>satellite</span></a> <a href="https://techhub.social/tags/sentinel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sentinel</span></a> <a href="https://techhub.social/tags/valley" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>valley</span></a> <a href="https://techhub.social/tags/landuse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>landuse</span></a> <a href="https://techhub.social/tags/distribution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>distribution</span></a> <a href="https://techhub.social/tags/infrastructure" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>infrastructure</span></a> <a href="https://techhub.social/tags/building" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>building</span></a> <a href="https://techhub.social/tags/roads" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>roads</span></a> <a href="https://techhub.social/tags/naturalresources" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>naturalresources</span></a> <a href="https://techhub.social/tags/environmental" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>environmental</span></a> <a href="https://techhub.social/tags/conservation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>conservation</span></a> <a href="https://techhub.social/tags/monitoring" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>monitoring</span></a> <a href="https://techhub.social/tags/multitemporal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>multitemporal</span></a></p>
Kenneth De Baets<p><a href="https://ecoevo.social/tags/Kurtosis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Kurtosis</span></a> was an important <a href="https://ecoevo.social/tags/parameter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>parameter</span></a> differentiating <a href="https://ecoevo.social/tags/size" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>size</span></a> distributions, with <a href="https://ecoevo.social/tags/platykurtic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>platykurtic</span></a> distributions in <a href="https://ecoevo.social/tags/marls" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>marls</span></a> and <a href="https://ecoevo.social/tags/leptokurtic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>leptokurtic</span></a> distributions in <a href="https://ecoevo.social/tags/limestones" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>limestones</span></a>, suggesting that this parameter may reflect different degrees of <a href="https://ecoevo.social/tags/time" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>time</span></a> <a href="https://ecoevo.social/tags/averaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>averaging</span></a>. Most size <a href="https://ecoevo.social/tags/distributions" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>distributions</span></a> were positively <a href="https://ecoevo.social/tags/skewed" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>skewed</span></a>, but most strongly in marls. Complete <a href="https://ecoevo.social/tags/sampling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sampling</span></a> led to <a href="https://ecoevo.social/tags/skewness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>skewness</span></a> values close to zero (<a href="https://ecoevo.social/tags/symmetrical" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>symmetrical</span></a> distributions) and high kurtosis.</p><p><a href="https://doi.org/10.2110/palo.2021.063" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.2110/palo.2021.063</span><span class="invisible"></span></a></p>