podaac · NickTarpinian · Jan 12, 2026
diff --git a/quarto_text/SWOT.qmd b/quarto_text/SWOT.qmd
@@ -70,9 +70,21 @@ See the [Version C product release notes](https://archive.podaac.earthdata.nasa.
 The best available science data processing algorithms in early 2024 were applied into the operational forward processing and reprocessing of KaRIn data to generate both the PIC0 and PGC0 products. The PIC2 products have resolved several algorithm and product issues that were identified in the PIC0/PGC0 products.
 The PIC2 products have resolved several algorithm and product issues that were identified in the PIC0/PGC0 products.
 
-#### **SWOT in Space and Time**
+### **SWOT in Space and Time**
 
-[SWOT Track Visualizer](https://whereisswot.onrender.com/) - For more information on the SWOT Track Visualizer tool see the [SWOT Mission Page](https://swot.jpl.nasa.gov/mission/swath-visualizer/). 
+The following tools shared from the [SWOT Mission](https://swot.jpl.nasa.gov/mission/swath-visualizer/) may be helpful in determining which SWOT data to download for the given time and space focus of a particular application or science question.
+
+#### **Find locations for a date: SWOT Track Visualizer**
+
+You can figure out where the SWOT satellite was or will be on any given day using the interactive [SWOT track visualizer](https://whereisswot.onrender.com/) created by iury Simoes-Sousa. By tracking the satellite's passings, users can find when and where SWOT data may be available, making it easier to plan fieldwork, in situ data collection, and analysis.
+
+#### **Find dates for a location: Search SWOT's Pass-over Time**
+
+CNES has developed a dedicated visualization tool as a quick look at where SWOT has been, where it is, and where it will be. From within the [Binder application](https://mybinder.org/v2/gh/CNES/search_swot/HEAD?urlpath=voila%2Frender%2Fmain.ipynb), select the area of interest and click the Search button to search for SWOT passes. (Note: the user-provided bounding box needs to be large enough to capture a nadir track. Otherwise, no passes will show up.) The results are displayed in a table and the swaths that intersect the area of interest are displayed on the map. Click on the marker to view the pass number.
+
+[Launch the Binder application](https://mybinder.org/v2/gh/CNES/search_swot/HEAD?urlpath=voila%2Frender%2Fmain.ipynb).
+
+[Launch Jupyterlab in Binder](https://mybinder.org/v2/gh/CNES/search_swot/HEAD?labpath=notebook.ipynb).
 
 #### **SWOT Spatial Coverage**
 
@@ -117,22 +129,21 @@ In [Earthdata Search GUI](https://search.earthdata.nasa.gov/search):
 
 <nop/> <div style="width: 300px;">![](../images/Cloud_download_logo.png)</div>
 
+Basic Access SWOT Hydrology data [in the cloud](../notebooks/datasets/SWOTHR_s3Access.ipynb) | [locally](../notebooks/datasets/SWOTHR_localmachine.ipynb)
 
-#### Basic Access SWOT Hydrology data [in the cloud](../notebooks/datasets/SWOTHR_s3Access.ipynb) | [locally](../notebooks/datasets/SWOTHR_localmachine.ipynb)
+Basic Access SWOT Oceanography data [in the cloud](../notebooks/datasets/DirectCloud_Access_SWOT_Oceanography.ipynb) | [locally](../notebooks/datasets/Localmachine_SWOT_Oceanography.ipynb)
 
-#### Basic Access SWOT Oceanography data [in the cloud](../notebooks/datasets/DirectCloud_Access_SWOT_Oceanography.ipynb) | [locally](../notebooks/datasets/Localmachine_SWOT_Oceanography.ipynb)
+SWOT Raster Multifile Access & Quality Flag Application [in the cloud](../notebooks/datasets/SWOT_Raster_Notebook_cloud.ipynb) | [locally](../notebooks/datasets/SWOT_Raster_Notebook_local.ipynb)
 
-#### SWOT Raster Multifile Access & Quality Flag Application [in the cloud](../notebooks/datasets/SWOT_Raster_Notebook_cloud.ipynb) | [locally](../notebooks/datasets/SWOT_Raster_Notebook_local.ipynb)
+[Hydrocron: Time series API Multi-reach tutorial](../notebooks/datasets/Hydrocron_SWOT_timeseries_examples.ipynb) - See [Hydrocron documentation](https://podaac.github.io/hydrocron/intro.html) and more description under tools below. [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.11176233.svg)](https://doi.org/10.5281/zenodo.11176233)
 
-#### [Hydrocron: Time series API Multi-reach tutorial](../notebooks/datasets/Hydrocron_SWOT_timeseries_examples.ipynb) - See [Hydrocron documentation](https://podaac.github.io/hydrocron/intro.html) and more description under tools below. [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.11176233.svg)](https://doi.org/10.5281/zenodo.11176233)
+SWOT Pixel Cloud (PIXC) Area Aggregation [locally](../notebooks/datasets/SWOT_PIXC_Area_localmachine.ipynb)
 
-#### SWOT Pixel Cloud (PIXC) Area Aggregation [locally](../notebooks/datasets/SWOT_PIXC_Area_localmachine.ipynb)
+SWOT Pixel Cloud (PIXC) Phase Unwrapping Error Fix [locally](../notebooks/datasets/SWOT_PIXC_PhaseUnwrap_localmachine.ipynb)
 
-#### SWOT Pixel Cloud (PIXC) Phase Unwrapping Error Fix [locally](../notebooks/datasets/SWOT_PIXC_PhaseUnwrap_localmachine.ipynb)
+[Quality Flag Tutorial](../notebooks/datasets/SWOT_quality_flag_demo.ipynb) - Quality Flag Tips for all products, specifically demonstrates SSHA 8-bit quality flag application 
 
-#### [Quality Flag Tutorial](../notebooks/datasets/SWOT_quality_flag_demo.ipynb) - Quality Flag Tips for all products, specifically demonstrates SSHA 8-bit quality flag application 
-
-#### Retrieve SWOT attributes (WSE, width, slope) and plot a longitudinal profile along a river or over a basin [in the Cloud](https://podaac.github.io/tutorials/notebooks/DataStories/SWOTHR_Science_Application.html) or [on a local machine](https://podaac.github.io/tutorials/notebooks/DataStories/SWOTHR_Science_Application_localmachine.html)
+Retrieve SWOT attributes (WSE, width, slope) and plot a longitudinal profile along a river or over a basin [in the Cloud](https://podaac.github.io/tutorials/notebooks/DataStories/SWOTHR_Science_Application.html) or [on a local machine](https://podaac.github.io/tutorials/notebooks/DataStories/SWOTHR_Science_Application_localmachine.html)
 
 ### **River Profiles Data Stories**
 
@@ -162,35 +173,35 @@ Below are data resources to support the user in learning about, accessing and ap
 
 #### **Tutorials**
 
-- #### [SWOT: Through a GIS Lens StoryMap](https://storymaps.arcgis.com/stories/4a9184e813e540248040069580f6a54c)
+- [SWOT: Through a GIS Lens StoryMap](https://storymaps.arcgis.com/stories/4a9184e813e540248040069580f6a54c)
 
-- #### [Shapefile exploration](../notebooks/GIS/SWOT_GISshapefiles.ipynb)
+- [Shapefile exploration](../notebooks/GIS/SWOT_GISshapefiles.ipynb)
 
-- #### [Transform SWOT Datetime field for use in GIS Software](../notebooks/GIS/SWOT_datetime_GIS.ipynb)
+- [Transform SWOT Datetime field for use in GIS Software](../notebooks/GIS/SWOT_datetime_GIS.ipynb)
 
 #### **Services**
 
 #### **NASA Earthdata GIS (EGIS)**
 
-- #### SWOT HR Level 2 GIS services available via [NASA Earhtdata GIS (EGIS)](https://gis.earthdata.nasa.gov/portal/home/index.html) 
+- SWOT HR Level 2 GIS services available via [NASA Earhtdata GIS (EGIS)](https://gis.earthdata.nasa.gov/portal/home/index.html) 
 
-- #### [SWOT Level 2 River Single-Pass Vector Data Product GIS services](../notebooks/GIS/SWOT_Rivers_EGIS_Services.md)
+- [SWOT Level 2 River Single-Pass Vector Data Product GIS services](../notebooks/GIS/SWOT_Rivers_EGIS_Services.md)
 
-- #### [SWOT Rivers EGIS Access Guide](../notebooks/GIS/SWOT_EGIS_access.ipynb) - ArcGIS Pro/QGIS Tutorial
+- [SWOT Rivers EGIS Access Guide](../notebooks/GIS/SWOT_EGIS_access.ipynb) - ArcGIS Pro/QGIS Tutorial
 
-- #### [SWOT Rivers EGIS Python Guide](../notebooks/GIS/SWOT_EGIS_access_Python.ipynb) - Python Tutorial
+- [SWOT Rivers EGIS Python Guide](../notebooks/GIS/SWOT_EGIS_access_Python.ipynb) - Python Tutorial
 
 ### **Transform Data**
 
-#### [Datum Conversion](SWOT_Datum.qmd) - transforming to or from EGM2008/WGS84 to compare other data with SWOT
+[Datum Conversion](SWOT_Datum.qmd) - transforming to or from EGM2008/WGS84 to compare other data with SWOT
 
-#### [HiTIDE subsetter for Sea Surface Height Products](https://hitide.podaac.earthdatacloud.nasa.gov/) - select KaRIn instrument in `sensors`, see video tutorial [here](https://www.youtube.com/watch?v=S8MIHltlwWA)
+[HiTIDE subsetter for Sea Surface Height Products](https://hitide.podaac.earthdatacloud.nasa.gov/) - select KaRIn instrument in `sensors`, see video tutorial [here](https://www.youtube.com/watch?v=S8MIHltlwWA)
 
-#### [Hydrocron: Time series API](../notebooks/datasets/Hydrocron_SWOT_timeseries_examples.ipynb) - Currently for rivers and lakes see [Hydrocron documentation](https://podaac.github.io/hydrocron/intro.html) and more description under tools below. [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.11176233.svg)](https://doi.org/10.5281/zenodo.11176233)
+[Hydrocron: Time series API](../notebooks/datasets/Hydrocron_SWOT_timeseries_examples.ipynb) - Currently for rivers and lakes see [Hydrocron documentation](https://podaac.github.io/hydrocron/intro.html) and more description under tools below. [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.11176233.svg)](https://doi.org/10.5281/zenodo.11176233)
 
-#### [Transform SWOT Hydrology lake shapefiles into time series](../notebooks/GIS/SWOTshp_CSVconversion.ipynb) - work around for lake time series while Hydrocron is under development to include lakes.
+[Transform SWOT Hydrology lake shapefiles into time series](../notebooks/GIS/SWOTshp_CSVconversion.ipynb) - work around for lake time series while Hydrocron is under development to include lakes.
 
-#### NetCDF to Geotiff Conversion - [mac or Linux](../notebooks/GIS/Subscriber_nc_to_tif_SWOT.qmd) | [Windows](../notebooks/GIS/GDAL_NetCDF_GeoTIFF.ipynb)
+NetCDF to Geotiff Conversion - [mac or Linux](../notebooks/GIS/Subscriber_nc_to_tif_SWOT.qmd) | [Windows](../notebooks/GIS/GDAL_NetCDF_GeoTIFF.ipynb)
 
 ### **Tools**