Ows url update (#516)

digitalearthafrica · Apr 5, 2024 · b1a1599 · b1a1599
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Showing 4 changed files with 4 additions and 4 deletions.
diff --git a/services/ows_refactored/radar_backscatter/ows_alos_cfg.py b/services/ows_refactored/radar_backscatter/ows_alos_cfg.py
@@ -130,7 +130,7 @@
 
 It is part of a global dataset provided by the Japan Aerospace Exploration Agency (JAXA) Earth Observation Research Center.
 
-For more information on the product, see https://www.eorc.jaxa.jp/ALOS/en/palsar_fnf/fnf_index.htm
+For more information on the product, see https://docs.digitalearthafrica.org/en/latest/data_specs/ALOS_PALSAR_annual_mosaic_specs.html
 
 This product is accessible through OGC Web Service (https://ows.digitalearth.africa/), for analysis in DE Africa Sandbox JupyterLab (https://github.com/digitalearthafrica/deafrica-sandbox-notebooks/wiki) and for direct download from AWS S3 (https://data.digitalearth.africa/).
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diff --git a/services/ows_refactored/radar_backscatter/ows_jers_cfg.py b/services/ows_refactored/radar_backscatter/ows_jers_cfg.py
@@ -49,7 +49,7 @@
 
 It is part of a global dataset provided by the Japan Aerospace Exploration Agency (JAXA) Earth Observation Research Center.
 
-For more information on the product, see https://www.eorc.jaxa.jp/ALOS/en/palsar_fnf/fnf_index.htm
+For more information on the product, see https://docs.digitalearthafrica.org/en/latest/data_specs/ALOS_PALSAR_annual_mosaic_specs.html
 
 This product is accessible through OGC Web Service (https://ows.digitalearth.africa/), for analysis in DE Africa Sandbox JupyterLab (https://github.com/digitalearthafrica/deafrica-sandbox-notebooks/wiki) and for direct download from AWS S3 (https://data.digitalearth.africa/).
 """,

diff --git a/services/ows_refactored/surface_reflectance/ows_s2_cfg.py b/services/ows_refactored/surface_reflectance/ows_s2_cfg.py
@@ -14,7 +14,7 @@
 
 Sentinel-2 Level-2A data are provided by the European Space Agency (ESA).  Data prior to 2017 are processed from Level-1C to Level-2A with ESA's Sen2Cor software by Sinergise. All images are converted to Cloud Optimised GeoTIFF format by Element 84, Inc.
 
-For more information on the Sentinel-2 Level-2A surface reflectance product, see https://earth.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-2a/algorithm
+For more information on the Sentinel-2 Level-2A surface reflectance product, see https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-2_Level-2A_specs.html
 
 This product is accessible through OGC Web Service (https://ows.digitalearth.africa/), for analysis in DE Africa Sandbox JupyterLab (https://github.com/digitalearthafrica/deafrica-sandbox-notebooks/wiki) and for direct download from AWS S3 (https://data.digitalearth.africa/).
 """,

diff --git a/services/ows_refactored/vegetation/ows_fc_cfg.py b/services/ows_refactored/vegetation/ows_fc_cfg.py
@@ -55,7 +55,7 @@
 
 Fractional cover allows users to understand the large scale patterns and trends and inform evidence based decision making and policy on topics including wind and water erosion risk, soil carbon dynamics, land surface process monitoring, land management practices, vegetation studies, fuel load estimation, ecosystem modelling, and rangeland condition.
 
-The fractional cover algorithm was developed by the Joint Remote Sensing Research Program: http://data.auscover.org.au/xwiki/bin/view/Product+pages/Landsat+Seasonal+Fractional+Cover
+The fractional cover algorithm was developed by the Joint Remote Sensing Research Program. For more information on the product, see https://docs.digitalearthafrica.org/en/latest/data_specs/Fractional_Cover_specs.html
 
 More techincal information about the fractional cover product can be found in the User Guide (https://docs.digitalearthafrica.org/en/latest/data_specs/Fractional_Cover_specs.html)
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