Deploy preview for PR 243 🛫

Author: malmans2

pr-preview/pr-243/Satellite_ECVs/Land_Biosphere/satellite_satellite-land-cover_consistency-assessment_q01.html

@@ -495,7 +495,7 @@ <h2>❓ Quality assessment question<a class="headerlink" href="#quality-assessme
 </section>
 <section id="quality-assessment-statement">
 <h2>📢 Quality assessment statement<a class="headerlink" href="#quality-assessment-statement" title="Link to this heading">#</a></h2>
-<div class="admonition-these-are-the-key-outcomes-of-this-assessment admonition">
+<div class="note admonition">
 <p class="admonition-title">These are the key outcomes of this assessment</p>
 <ul class="simple">
 <li><p>The dataset demonstrates physical consistency and precision among the different datasets as it aligns closely with equivalent statistics from official sources and peer-reviewed studies (<a class="reference external" href="https://doi.org/10.1016/j.apgeog.2009.07.003">[1]</a>,<a class="reference external" href="https://doi.org/10.3390/land7030099">[2]</a>, <a class="reference external" href="https://ec.europa.eu/statistical-atlas/viewer/?ch=gridvizChapter&amp;amp;mids=BKGCNT,totalPop21,CNTOVL&amp;amp;o=1,1,0.7&amp;amp;center=40.94812,-2.2287,5&amp;amp;lcis=totalPop21&amp;amp;">[3]</a>). Specifically, our analysis shows that the Urban/Settlements category closely matches EUROSTAT’s statistics  for the 2018 Artificial Land and Wetland categories in the most populated NUTs 2 regions, with only a very small 5 to 8% percentage difference .</p></li>

pr-preview/pr-243/_sources/Satellite_ECVs/Land_Biosphere/satellite_satellite-land-cover_consistency-assessment_q01.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
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-   "id": "b6da1743",
+   "id": "cb935007",
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@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "398fe6e6",
+   "id": "2698c229",
    "metadata": {
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@@ -89,6 +89,8 @@
     "## 📢 Quality assessment statement\n",
     "\n",
     "```{admonition} These are the key outcomes of this assessment\n",
+    ":class: note\n",
+    "\n",
     "* The dataset demonstrates physical consistency and precision among the different datasets as it aligns closely with equivalent statistics from official sources and peer-reviewed studies ([[1]](https://doi.org/10.1016/j.apgeog.2009.07.003),[[2]](https://doi.org/10.3390/land7030099), [[3]](https://ec.europa.eu/statistical-atlas/viewer/?ch=gridvizChapter&mids=BKGCNT,totalPop21,CNTOVL&o=1,1,0.7&center=40.94812,-2.2287,5&lcis=totalPop21&)). Specifically, our analysis shows that the Urban/Settlements category closely matches EUROSTAT's statistics  for the 2018 Artificial Land and Wetland categories in the most populated NUTs 2 regions, with only a very small 5 to 8% percentage difference .\n",
     "\n",
     "* Another aspect of the analysis supporting the dataset's precision is the identification of trade-offs between urban expansion and the decline of agricultural areas, a well-documented phenomenon. Numerous studies, including observations across multiple European regions, note that urban growth frequently replaces agricultural lands [[4]](https://doi.org/10.1088/1748-9326/9/6/064015).\n",

pr-preview/pr-243/_sources/templates/template.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "e78f2b81",
+   "id": "9bcaef40",
    "metadata": {
     "tags": []
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@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9fd7e604",
+   "id": "6fac03bd",
    "metadata": {
     "tags": [
      "disclaimer"