Merge branch 'develop' into openlayers-10

.github/CODE_OF_CONDUCT.md

@@ -34,7 +34,7 @@ This Code of Conduct applies both within project spaces and in public spaces whe
 
 ## Enforcement
 
-Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team at support@earthdata.nasa.gov. The project team will review and investigate all complaints, and will respond in a way that it deems appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately.
+Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team at earthdata-support@nasa.gov. The project team will review and investigate all complaints, and will respond in a way that it deems appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately.
 
 Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership.
 

README.md

@@ -8,7 +8,7 @@ Interactive interface for browsing full-resolution, global satellite imagery.
 
 ## Background
 
-This app from NASA's [ESDIS](https://www.earthdata.nasa.gov/esdis) provides the
+This app from NASA's [ESDIS](https://earthdata.nasa.gov/esdis) provides the
 capability to interactively browse over 1000 global, full-resolution satellite
 imagery layers on desktop and mobile devices. Many of the imagery layers are
 updated daily and are within three hours of observation - showing the entire Earth as it is
@@ -86,7 +86,7 @@ To update Worldview, pull down any branch or tag from GitHub. From the `main` br
 ## Contact
 
 Contact us via GitHub or by sending an email to
-[support@earthdata.nasa.gov](mailto:support@earthdata.nasa.gov).
+[earthdata-support@nasa.gov](mailto:earthdata-support@nasa.gov).
 
 ## Contribute
 

config/default/common/brand.json

@@ -5,5 +5,5 @@
     "shortName":    "Worldview",
     "description":  "Interactive satellite viewer",
     "url":          "https://worldview.earthdata.nasa.gov/",
-    "email":        "support@earthdata.nasa.gov"
+    "email":        "earthdata-support@nasa.gov"
 }

config/default/common/brand/about/acknowledgements.md

@@ -6,7 +6,7 @@
                 href="https://search.earthdata.nasa.gov/">Earthdata Search</a> for a full listing of available data
         products.</p>
 <p>Near real-time imagery is courtesy of the<a href="https://earthdata.nasa.gov/earth-observation-data/near-real-time"
-                target="_blank" rel="noopener noreferrer"> Land, Atmosphere Near Real-Time Capability for Eo (LANCE)
+                target="_blank" rel="noopener noreferrer"> Land, Atmosphere Near Real-Time Capability for Earth observation (LANCE)
         </a>data providers:
 </p>
 <ul>
@@ -78,8 +78,8 @@
         <li>GeoColor imagery layers from GOES-East and GOES-West are provided by <a
                         href="https://www.star.nesdis.noaa.gov/goes/" target="_blank"
                         rel="noopener noreferrer">NOAA/NESDIS/STAR</a> .</li>
-        <li>Geostationary imagery layers from GOES-East, GOES-West and Himawari-8 (Red Visible, Clean Infrared, and Air
-                Mass) are provided by the <a href="https://weather.msfc.nasa.gov/sport/" target="_blank"
+        <li>Geostationary imagery layers from GOES-East, GOES-West and Himawari-8 (Red Visible, Clean Infrared, Air
+                Mass, Dust, and Fire Temperature) are provided by the <a href="https://weather.msfc.nasa.gov/sport/" target="_blank"
                         rel="noopener noreferrer">Short-term Prediction Research and Transition Center (SPoRT)</a> at
                 NASA
                 Marshall Space Flight Center.</li>

config/default/common/config/metadata/layers/amsr2/AMSRU2_L3_Cloud_Liquid_Water_Daily.md

@@ -0,0 +1,10 @@
+The Cloud Liquid Water Path (Daily) layer is the integrated liquid water, cloud water only, in the atmospheric column in units of grams per square meter (g/m<sup>2</sup>).
+
+The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.
+
+The AMSR-E/AMSR2 Unified L3 Global Daily Ascending/Descending .25 x .25 deg Ocean Grids data set (AU_DyOcn) reports daily estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean on a global 0.25° × 0.25° resolution grid. The data are derived from the AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products, Version 1 data set.
+
+The imagery resolution is 2 km and sensor resolution is 0.25 degrees x 0.25 degrees. The temporal resolution is daily.
+
+References: AU_DyOcn [doi:10.5067/K9QZU22GVZHS](https://doi.org/10.5067/K9QZU22GVZHS)
+

config/default/common/config/metadata/layers/amsr2/AMSRU2_L3_Ocean_Wind_Speed_Daily.md

@@ -0,0 +1,9 @@
+The Ocean Wind Speed (L3, Daily) layer shows daily estimates of surface wind speed over oceans in meters per second (m/s) at 10 meter altitude above the ocean surface.
+
+The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.
+
+The AMSR-E/AMSR2 Unified L3 Global Daily Ascending/Descending .25 x .25 deg Ocean Grids data set (AU_DyOcn) reports daily estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean on a global 0.25° × 0.25° resolution grid. The data are derived from the AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products, Version 1 data set.
+
+The imagery resolution is 2 km and sensor resolution is 0.25 degrees x 0.25 degrees. The temporal resolution is daily.
+
+References: AU_DyOcn [doi:10.5067/K9QZU22GVZHS](https://doi.org/10.5067/K9QZU22GVZHS)

config/default/common/config/metadata/layers/amsr2/AMSRU2_L3_Total_Precipitable_Water_Daily.md

@@ -0,0 +1,9 @@
+The Total Precipitable Water (Daily) layer displays the integrated water vapor in the atmospheric columnn in millimeters (mm).
+
+The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.
+
+The AMSR-E/AMSR2 Unified L3 Global Daily Ascending/Descending .25 x .25 deg Ocean Grids data set (AU_DyOcn) reports daily estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean on a global 0.25° × 0.25° resolution grid. The data are derived from the AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products, Version 1 data set.
+
+The imagery resolution is 2 km and sensor resolution is 0.25 degrees x 0.25 degrees. The temporal resolution is daily.
+
+References: AU_DyOcn [doi:10.5067/K9QZU22GVZHS](https://doi.org/10.5067/K9QZU22GVZHS)

config/default/common/config/metadata/layers/modis/CorrectedReflectance.md

@@ -1,6 +1,6 @@
 ### MODIS Corrected Reflectance vs. MODIS Surface Reflectance
 The MODIS Corrected Reflectance algorithm utilizes MODIS Level 1B data (the calibrated, geolocated radiances). It is not a standard, science quality product. The purpose of this algorithm is to provide natural-looking images by removing gross atmospheric effects, such as Rayleigh scattering, from MODIS visible bands 1-7. The algorithm was developed by the original MODIS Rapid Response team to address the needs of the fire monitoring community who want to see smoke. Corrected Reflectance shows smoke more clearly than the standard Surface Reflectance product. In contrast, the MODIS Land Surface Reflectance product (MOD09) is a more complete atmospheric correction algorithm that includes aerosol correction, and is designed to derive land surface properties. In clear atmospheric conditions the Corrected Reflectance product is very similar to the MOD09 product, but they depart from each other in presence of aerosols. If you wish to perform a complete atmospheric correction, please do not use the Corrected Reflectance algorithm. An additional difference is that the Land Surface Reflectance product is only tuned for calculating the reflectance over land surfaces.
 
-References: [NASA Earthdata - Creating Reprojected True Color MODIS Images: A Tutorial](https://www.earthdata.nasa.gov/s3fs-public/2022-02/MODIS_True_Color.pdf); [NASA Earthdata - LANCE FAQ](https://earthdata.nasa.gov/faq/lance-faq#ed-CRvsSR)
+References: [NASA Earthdata - Creating Reprojected True Color MODIS Images: A Tutorial](https://earthdata.nasa.gov/s3fs-public/2022-02/MODIS_True_Color.pdf); [NASA Earthdata - LANCE FAQ](https://earthdata.nasa.gov/faq/lance-faq#ed-CRvsSR)
 
 NOTE: We are reprocessing the entire MODIS Land imagery archive to collection 6.1 but currently the imagery is a mix of collection 6 and collection 6.1. Most of the imagery from mid-May 2021 onwards is collection 6.1 and older imagery is collection 6.

config/default/common/config/metadata/layers/modis/LandSurfaceReflectance.md

@@ -1,6 +1,6 @@
 ### MODIS Corrected Reflectance vs. MODIS Surface Reflectance
 The MODIS Corrected Reflectance algorithm utilizes MODIS Level 1B data (the calibrated, geolocated radiances). It is not a standard, science quality product. The purpose of this algorithm is to provide natural-looking images by removing gross atmospheric effects, such as Rayleigh scattering, from MODIS visible bands 1-7. The algorithm was developed by the original MODIS Rapid Response team to address the needs of the fire monitoring community who want to see smoke. Corrected Reflectance shows smoke more clearly than the standard Surface Reflectance product. In contrast, the MODIS Land Surface Reflectance product (MOD09) is a more complete atmospheric correction algorithm that includes aerosol correction, and is designed to derive land surface properties. In clear atmospheric conditions the Corrected Reflectance product is very similar to the MOD09 product, but they depart from each other in presence of aerosols. If you wish to perform a complete atmospheric correction, please do not use the Corrected Reflectance algorithm. An additional difference is that the Land Surface Reflectance product is only tuned for calculating the reflectance over land surfaces.
 
-References: [NASA Earthdata - Creating Reprojected True Color MODIS Images: A Tutorial](https://www.earthdata.nasa.gov/s3fs-public/2022-02/MODIS_True_Color.pdf); [NASA Earthdata - LANCE FAQ](https://earthdata.nasa.gov/faq/lance-faq#ed-CRvsSR)
+References: [NASA Earthdata - Creating Reprojected True Color MODIS Images: A Tutorial](https://earthdata.nasa.gov/s3fs-public/2022-02/MODIS_True_Color.pdf); [NASA Earthdata - LANCE FAQ](https://earthdata.nasa.gov/faq/lance-faq#ed-CRvsSR)
 
 NOTE: We are reprocessing the entire MODIS Land imagery archive to collection 6.1 but currently the imagery is a mix of collection 6 and collection 6.1. Most of the imagery from mid-May 2021 onwards is collection 6.1 and older imagery is collection 6.

config/default/common/config/metadata/layers/modis/combined/MODIS_Combined_Flood_2-Day.md

@@ -19,7 +19,7 @@ Common situations in which the flood product may be unable to accurately identif
 - Springtime snow melt ponding on fields: such water can appear as pixelated flood across flat areas of agricultural fields. Although this is unusual water, it is often very shallow, and not moving, and thus typically not a flood in the normal sense. Checking the reflectance imagery will typically show such areas on the edge of larger areas of snow extent, or, looking back in time, will show them recently covered by snow.
 
 #### Spatial Coverage
-Non-polar global land areas (below 80 degrees latitude), comprising 287 10x10 degree tiles (see [product homepage](https://www.earthdata.nasa.gov/learn/find-data/near-real-time/modis-nrt-global-flood-product) for map of included tiles).
+Non-polar global land areas (below 80 degrees latitude), comprising 287 10x10 degree tiles (see [product homepage](https://earthdata.nasa.gov/learn/find-data/near-real-time/modis-nrt-global-flood-product) for map of included tiles).
 
 #### Sensor/Image Resolution
 Nominal equatorial resolution is ~232 m per pixel, with resolution increasing toward the poles (~116 m at 60 degrees latitude). Note the higher apparent resolution towards the poles is simply an artifact of the lat/lon (geographic) projection used, and not intrinsic to the data.

config/default/common/config/metadata/layers/modis/combined/MODIS_Combined_Flood_3-Day.md

@@ -19,7 +19,7 @@ Common situations in which the flood product may be unable to accurately identif
 - Springtime snow melt ponding on fields: such water can appear as pixelated flood across flat areas of agricultural fields. Although this is unusual water, it is often very shallow, and not moving, and thus typically not a flood in the normal sense. Checking the reflectance imagery will typically show such areas on the edge of larger areas of snow extent, or, looking back in time, will show them recently covered by snow.
 
 #### Spatial Coverage
-Non-polar global land areas (below 80 degrees latitude), comprising 287 10x10 degree tiles (see [product homepage](https://www.earthdata.nasa.gov/learn/find-data/near-real-time/modis-nrt-global-flood-product) for map of included tiles).
+Non-polar global land areas (below 80 degrees latitude), comprising 287 10x10 degree tiles (see [product homepage](https://earthdata.nasa.gov/learn/find-data/near-real-time/modis-nrt-global-flood-product) for map of included tiles).
 
 #### Sensor/Image Resolution
 Nominal equatorial resolution is ~232 m per pixel, with resolution increasing toward the poles (~116 m at 60 degrees latitude). Note the higher apparent resolution towards the poles is simply an artifact of the lat/lon (geographic) projection used, and not intrinsic to the data.

config/default/common/config/metadata/layers/modis/terra/CorrectedReflectance.md

@@ -1,6 +1,6 @@
 ### MODIS Corrected Reflectance vs. MODIS Surface Reflectance
 The MODIS Corrected Reflectance algorithm utilizes MODIS Level 1B data (the calibrated, geolocated radiances). It is not a standard, science quality product. The purpose of this algorithm is to provide natural-looking images by removing gross atmospheric effects, such as Rayleigh scattering, from MODIS visible bands 1-7. The algorithm was developed by the original MODIS Rapid Response team to address the needs of the fire monitoring community who want to see smoke. Corrected Reflectance shows smoke more clearly than the standard Surface Reflectance product. In contrast, the MODIS Land Surface Reflectance product (MOD09) is a more complete atmospheric correction algorithm that includes aerosol correction, and is designed to derive land surface properties. In clear atmospheric conditions the Corrected Reflectance product is very similar to the MOD09 product, but they depart from each other in presence of aerosols. If you wish to perform a complete atmospheric correction, please do not use the Corrected Reflectance algorithm. An additional difference is that the Land Surface Reflectance product is only tuned for calculating the reflectance over land surfaces.
 
-References: [NASA Earthdata - Creating Reprojected True Color MODIS Images: A Tutorial](https://www.earthdata.nasa.gov/s3fs-public/2022-02/MODIS_True_Color.pdf); [NASA Earthdata - LANCE FAQ](https://earthdata.nasa.gov/faq/lance-faq#ed-CRvsSR)
+References: [NASA Earthdata - Creating Reprojected True Color MODIS Images: A Tutorial](https://earthdata.nasa.gov/s3fs-public/2022-02/MODIS_True_Color.pdf); [NASA Earthdata - LANCE FAQ](https://earthdata.nasa.gov/faq/lance-faq#ed-CRvsSR)
 
 NOTE: We are reprocessing the entire MODIS Land imagery archive to collection 6.1 but currently the imagery is a mix of collection 6 and collection 6.1. Most of the imagery from mid-May 2021 onwards is collection 6.1 and older imagery is collection 6.

config/default/common/config/metadata/layers/modis/terra/LandSurfaceReflectance.md

@@ -1,6 +1,6 @@
 ### MODIS Corrected Reflectance vs. MODIS Surface Reflectance
 The MODIS Corrected Reflectance algorithm utilizes MODIS Level 1B data (the calibrated, geolocated radiances). It is not a standard, science quality product. The purpose of this algorithm is to provide natural-looking images by removing gross atmospheric effects, such as Rayleigh scattering, from MODIS visible bands 1-7. The algorithm was developed by the original MODIS Rapid Response team to address the needs of the fire monitoring community who want to see smoke. Corrected Reflectance shows smoke more clearly than the standard Surface Reflectance product. In contrast, the MODIS Land Surface Reflectance product (MOD09) is a more complete atmospheric correction algorithm that includes aerosol correction, and is designed to derive land surface properties. In clear atmospheric conditions the Corrected Reflectance product is very similar to the MOD09 product, but they depart from each other in presence of aerosols. If you wish to perform a complete atmospheric correction, please do not use the Corrected Reflectance algorithm. An additional difference is that the Land Surface Reflectance product is only tuned for calculating the reflectance over land surfaces.
 
-References: MOD02QKM [doi:10.5067/MODIS/MOD02QKM.061](https://doi.org/10.5067/MODIS/MOD02QKM.061); MOD02HKM [doi:10.5067/MODIS/MOD02HKM.061](https://doi.org/10.5067/MODIS/MOD02HKM.061); MOD021KM [doi:10.5067/MODIS/MOD021KM.061](https://doi.org/10.5067/MODIS/MOD021KM.061); MYD02QKM [doi:10.5067/MODIS/MYD02QKM.061](https://doi.org/10.5067/MODIS/MYD02QKM.061); MYD02HKM [doi:10.5067/MODIS/MYD02HKM.061](https://doi.org/10.5067/MODIS/MYD02HKM.061); MYD021KM [doi:10.5067/MODIS/MYD021KM.061](https://doi.org/10.5067/MODIS/MYD021KM.061); [NASA Earthdata - Creating Reprojected True Color MODIS Images: A Tutorial](https://www.earthdata.nasa.gov/s3fs-public/2022-02/MODIS_True_Color.pdf); [NASA Earthdata - LANCE FAQ](https://earthdata.nasa.gov/faq/lance-faq#ed-CRvsSR)
+References: MOD02QKM [doi:10.5067/MODIS/MOD02QKM.061](https://doi.org/10.5067/MODIS/MOD02QKM.061); MOD02HKM [doi:10.5067/MODIS/MOD02HKM.061](https://doi.org/10.5067/MODIS/MOD02HKM.061); MOD021KM [doi:10.5067/MODIS/MOD021KM.061](https://doi.org/10.5067/MODIS/MOD021KM.061); MYD02QKM [doi:10.5067/MODIS/MYD02QKM.061](https://doi.org/10.5067/MODIS/MYD02QKM.061); MYD02HKM [doi:10.5067/MODIS/MYD02HKM.061](https://doi.org/10.5067/MODIS/MYD02HKM.061); MYD021KM [doi:10.5067/MODIS/MYD021KM.061](https://doi.org/10.5067/MODIS/MYD021KM.061); [NASA Earthdata - Creating Reprojected True Color MODIS Images: A Tutorial](https://earthdata.nasa.gov/s3fs-public/2022-02/MODIS_True_Color.pdf); [NASA Earthdata - LANCE FAQ](https://earthdata.nasa.gov/faq/lance-faq#ed-CRvsSR)
 
 NOTE: We are reprocessing the entire MODIS Land imagery archive to collection 6.1 but currently the imagery is a mix of collection 6 and collection 6.1. Most of the imagery from mid-May 2021 onwards is collection 6.1 and older imagery is collection 6.

config/default/common/config/metadata/layers/omps/OMPS_NOAA20_SO2_Lower_Troposphere.md

@@ -0,0 +1,5 @@
+The OMPS Sulfur Dioxide (SO2) Lower Troposphere layer indicates the column density of sulfur dioxide in the lower troposphere (corresponding to 2.5 km center of mass altitude (CMA)) and is measured in Dobson Units (DU). The lower troposphere layer can be used to study degassing from volcanic sources.
+
+The OMPS Sulfur Dioxide (SO2) Lower Troposphere layer is a science parameter of the Ozone Mapping and Profiler Suite (OMPS)-N20 NM PCA Sulfur Dioxide (SO2) Step 1 Total Column 1-Orbit L2 Swath 17x13km collection 1 product. It is available from the OMPS Nadir-Mapper (NM) sensor on the joint NASA/NOAA NOAA-20 (JPSS-1) satellite. The sensor resolution is 25 km, imagery resolution is 2 km, and the temporal resolution is daily.
+
+References: [OMPS_N20_NMSO2_PCA_L2_Step1_NRT](https://disc.gsfc.nasa.gov/datasets/OMPS_N20_NMSO2_PCA_L2_Step1_1/summary)