deploy: 2fe269e

Author: XavierCLL

_sources/global_editing.md

@@ -23,7 +23,7 @@ This operation cannot be undone, so use with caution.
 ```
 <br>
 
-ThRasE enables you to apply recode pixel table changes selectively within areas defined by classes from another categorical raster file. This capability is crucial when corrections need to respect existing spatial boundaries or land management units. For example, you might need to reclassify forest types only within protected areas, correct agricultural classes exclusively in irrigated zones, or refine land cover classifications within specific administrative boundaries. This targeted approach improves efficiency by avoiding unnecessary edits across the entire map and reduces the risk of inadvertently modifying correctly classified regions, ultimately supporting more precise and contextually appropriate post-classification corrections.
+ThRasE enables you to apply recode pixel table changes selectively within areas defined by classes from another categorical raster file. This capability is crucial when corrections need to respect existing spatial boundaries or land management units. For example, you might need to reclassify forest types only within protected areas, correct agricultural classes exclusively in irrigated zones, or refine land cover classifications within specific administrative boundaries. This feature applies more precise and contextually appropriate post-classification corrections to the whole image.
 
 ```{warning}
 The categorical raster file used to define constraint areas must have the same projection, pixel size, and extent as your thematic map

_sources/introduction.md

@@ -22,5 +22,5 @@ ThRasE is designed for anyone who needs to review, correct, or validate thematic
 
 - **Remote sensing analysts** working with land cover classifications who need to correct misclassifications using visual interpretation of satellite imagery
 - **GIS specialists** responsible for quality control of thematic products, ensuring that final maps meet accuracy requirements before publication or delivery
-- **Environmental monitoring teams** conducting systematic reviews of forest maps, wetland classifications, or other environmental datasets where accuracy is critical for decision-making
+- **Environmental monitoring teams** conducting systematic reviews of forest maps or other environmental datasets where accuracy is critical for decision-making
 - **Research teams** who need to manually refine classification results, annotate training data, or validate model outputs with expert knowledge

global_editing.html

@@ -366,7 +366,7 @@ <h2>Apply from Thematic Classes<a class="headerlink" href="#apply-from-thematic-
 <a class="reference internal image-reference" href="_images/global_editing_classes.webp"><img alt="_images/global_editing_classes.webp" class="align-center" src="_images/global_editing_classes.webp" style="width: 60%;" />
 </a>
 <br>
-<p>ThRasE enables you to apply recode pixel table changes selectively within areas defined by classes from another categorical raster file. This capability is crucial when corrections need to respect existing spatial boundaries or land management units. For example, you might need to reclassify forest types only within protected areas, correct agricultural classes exclusively in irrigated zones, or refine land cover classifications within specific administrative boundaries. This targeted approach improves efficiency by avoiding unnecessary edits across the entire map and reduces the risk of inadvertently modifying correctly classified regions, ultimately supporting more precise and contextually appropriate post-classification corrections.</p>
+<p>ThRasE enables you to apply recode pixel table changes selectively within areas defined by classes from another categorical raster file. This capability is crucial when corrections need to respect existing spatial boundaries or land management units. For example, you might need to reclassify forest types only within protected areas, correct agricultural classes exclusively in irrigated zones, or refine land cover classifications within specific administrative boundaries. This feature applies more precise and contextually appropriate post-classification corrections to the whole image.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
 <p>The categorical raster file used to define constraint areas must have the same projection, pixel size, and extent as your thematic map</p>

introduction.html

@@ -369,7 +369,7 @@ <h2>Who Is ThRasE For?<a class="headerlink" href="#who-is-thrase-for" title="Lin
 <ul class="simple">
 <li><p><strong>Remote sensing analysts</strong> working with land cover classifications who need to correct misclassifications using visual interpretation of satellite imagery</p></li>
 <li><p><strong>GIS specialists</strong> responsible for quality control of thematic products, ensuring that final maps meet accuracy requirements before publication or delivery</p></li>
-<li><p><strong>Environmental monitoring teams</strong> conducting systematic reviews of forest maps, wetland classifications, or other environmental datasets where accuracy is critical for decision-making</p></li>
+<li><p><strong>Environmental monitoring teams</strong> conducting systematic reviews of forest maps or other environmental datasets where accuracy is critical for decision-making</p></li>
 <li><p><strong>Research teams</strong> who need to manually refine classification results, annotate training data, or validate model outputs with expert knowledge</p></li>
 </ul>
 </section>