Fixed links (#281)

jonasViehweger · web-flow · commit a47a6e82cc50 · 2023-10-03T11:11:31.000+02:00
diff --git a/copernicus_services/hrsi/hrsi-rlie-s1-quality/README.md b/copernicus_services/hrsi/hrsi-rlie-s1-quality/README.md
@@ -59,6 +59,6 @@ Table 1: Classification classes and colouring scheme.
 
 ## Resources
 
-- [Data source](https://land.copernicus.eu/pan-european/biophysical-parameters/high-resolution-snow-and-ice-monitoring/ice-products/ice-cover)
+- [Data source](https://land.copernicus.eu/en/products/water-bodies/high-resolution-river-and-lake-ice-extent)
 - [Quality assessment report](https://land.copernicus.eu/user-corner/technical-library/hrsi-ice-qar)
 - [Product user manual](https://land.copernicus.eu/user-corner/technical-library/hrsi-ice-pum)
diff --git a/copernicus_services/hrsi/hrsi-rlie-s1/README.md b/copernicus_services/hrsi/hrsi-rlie-s1/README.md
@@ -48,6 +48,6 @@ Table 1: Classification classes and colouring scheme.
 
 ## Resources
 
-- [Data source](https://land.copernicus.eu/pan-european/biophysical-parameters/high-resolution-snow-and-ice-monitoring/ice-products/ice-cover)
+- [Data source](https://land.copernicus.eu/en/products/water-bodies/high-resolution-river-and-lake-ice-extent)
 - [Quality assessment report](https://land.copernicus.eu/user-corner/technical-library/hrsi-ice-qar)
 - [Product user manual](https://land.copernicus.eu/user-corner/technical-library/hrsi-ice-pum)
diff --git a/copernicus_services/hrsi/hrsi-rlie-s1s2-quality/README.md b/copernicus_services/hrsi/hrsi-rlie-s1s2-quality/README.md
@@ -64,6 +64,6 @@ Table 1: Classification classes and colouring scheme.
 
 ## Resources
 
-- [Data source](https://land.copernicus.eu/pan-european/biophysical-parameters/high-resolution-snow-and-ice-monitoring/ice-products/ice-cover)
+- [Data source](https://land.copernicus.eu/en/products/water-bodies/high-resolution-river-and-lake-ice-extent)
 - [Quality assessment report](https://land.copernicus.eu/user-corner/technical-library/hrsi-ice-qar)
 - [Product user manual](https://land.copernicus.eu/user-corner/technical-library/hrsi-ice-pum)
diff --git a/copernicus_services/hrsi/hrsi-rlie-s1s2/README.md b/copernicus_services/hrsi/hrsi-rlie-s1s2/README.md
@@ -59,6 +59,6 @@ Table 1: Classification classes and colouring scheme.
 
 ## Resources
 
-- [Data source](https://land.copernicus.eu/pan-european/biophysical-parameters/high-resolution-snow-and-ice-monitoring/ice-products/ice-cover)
+- [Data source](https://land.copernicus.eu/en/products/water-bodies/high-resolution-river-and-lake-ice-extent)
 - [Quality assessment report](https://land.copernicus.eu/user-corner/technical-library/hrsi-ice-qar)
 - [Product user manual](https://land.copernicus.eu/user-corner/technical-library/hrsi-ice-pum)
diff --git a/copernicus_services/hrsi/hrsi-rlie-s2-quality/README.md b/copernicus_services/hrsi/hrsi-rlie-s2-quality/README.md
@@ -64,6 +64,6 @@ Table 1: Classification classes and colouring scheme.
 
 ## Resources
 
-- [Data source](https://land.copernicus.eu/pan-european/biophysical-parameters/high-resolution-snow-and-ice-monitoring/ice-products/ice-cover)
+- [Data source](https://land.copernicus.eu/en/products/water-bodies/high-resolution-river-and-lake-ice-extent)
 - [Quality assessment report](https://land.copernicus.eu/user-corner/technical-library/hrsi-ice-qar)
 - [Product user manual](https://land.copernicus.eu/user-corner/technical-library/hrsi-ice-pum)
diff --git a/copernicus_services/hrsi/hrsi-rlie-s2/README.md b/copernicus_services/hrsi/hrsi-rlie-s2/README.md
@@ -58,7 +58,7 @@ Table 1: Classification classes and colouring scheme.
 
 ## Resources
 
-- [Data source](https://land.copernicus.eu/pan-european/biophysical-parameters/high-resolution-snow-and-ice-monitoring/ice-products/ice-cover)
+- [Data source](https://land.copernicus.eu/en/products/water-bodies/high-resolution-river-and-lake-ice-extent)
 - [Quality assessment report](https://land.copernicus.eu/user-corner/technical-library/hrsi-ice-qar)
 - [Product user manual](https://land.copernicus.eu/user-corner/technical-library/hrsi-ice-pum)
   
diff --git a/other_collections/impact-observatory/impact-observatory-lulc/README.md b/other_collections/impact-observatory/impact-observatory-lulc/README.md
@@ -86,7 +86,7 @@ Table 1: Color legend for the 10m Annual Land Use Land Cover Map.
 
 ## Resources
 
-- [Data source](https://www.impactobservatory.com/global_maps/)
+- [Data source](https://www.impactobservatory.com/maps-for-good/)
 
 - [Entry in public collections](https://collections.sentinel-hub.com/impact-observatory-lulc-map/)
 
diff --git a/other_collections/impact-observatory/impact-observatory.md b/other_collections/impact-observatory/impact-observatory.md
@@ -7,7 +7,7 @@ permalink: /other_collections/impact-observatory/
 ---
 
 # 10m Annual Land Use Land Cover (9-class)
-  The [10m Annual Land Use Land Cover (LULC)](https://www.impactobservatory.com/global_maps/) map is collaboratively produced by Impact Observatory, Microsoft, and Esri.
+  The [10m Annual Land Use Land Cover (LULC)](https://www.impactobservatory.com/maps-for-good/) map is collaboratively produced by Impact Observatory, Microsoft, and Esri.
   The data collection is available globally and derived from ESA Sentinel-2 imagery at 10m resolution, using Impact Ovservatory's state of the art deep learning AI land classification model which is trained by billions of human-labeled image pixels.
   There are 9 LULC classes generated by the algorithm, including Built, Crops, Trees, Water, Rangeland, Flooded Vegetation, Snow/Ice, Bare Ground, and Clouds.
 
diff --git a/sentinel-3/land_surface_temperature/README.md b/sentinel-3/land_surface_temperature/README.md
@@ -57,7 +57,7 @@ The Custom Script Repository already contains a popular script for [Land Surface
 
 | Land Surface Temperatures in Western Hungary under heatwave conditions on 16 August 2022 |
 | :----------------------------------------------------------------------------------: |
-|  !['Land Surface Temperatures in Western Hungary during August 16 2022'](img\2022-08-16-00_heatwave_hungary.jpg)  |
+|  !['Land Surface Temperatures in Western Hungary during August 16 2022'](img/2022-08-16-00_heatwave_hungary.jpg)  |
 
 On this image, the colour scale is stretched between 15 and 40 °C. Sentinel-3 overpasses are typically around 10:00, so not the hottest time of the day, yet already temperatures around 40°C can be observed especially in the lowland agricultural areas. Forests and especially lakes and rivers are substantially cooler. The coldest spots are small clouds - in these cases the sensor images the temperature of the cloud and not the land surface.
 
diff --git a/sentinel-5p/carbon-monoxide/README.md b/sentinel-5p/carbon-monoxide/README.md
@@ -12,7 +12,7 @@ nav_exclude: true
  - [EO Browser](https://sentinelshare.page.link/HVAb){:target="_blank"}   
 
 ## Description
-Carbon monoxide (CO) is an important atmospheric trace gas. In certain urban areas, it is a major atmospheric pollutant. Main sources of CO are combustion of fossil fuels, biomass burning, and atmospheric oxidation of methane and other hydrocarbons. The carbon monoxide total column is measured in mol per square meter (mol/ m^2). Learn more [here](https://www.tropomi.eu/data-products/carbon-monoxide).
+Carbon monoxide (CO) is an important atmospheric trace gas. In certain urban areas, it is a major atmospheric pollutant. Main sources of CO are combustion of fossil fuels, biomass burning, and atmospheric oxidation of methane and other hydrocarbons. The carbon monoxide total column is measured in mol per square meter (mol/ m^2). Learn more [here](https://sentinels.copernicus.eu/web/sentinel/data-products/-/asset_publisher/fp37fc19FN8F/content/sentinel-5-precursor-level-2-carbon-monoxide).
 
 ## Description of representative images
 
diff --git a/sentinel-5p/formaldehyde/README.md b/sentinel-5p/formaldehyde/README.md
@@ -12,7 +12,7 @@ nav_exclude: true
  - [EO Browser](https://sentinelshare.page.link/uU3r){:target="_blank"}   
 
 ## Description
-Long term satellite observations of tropospheric formaldehyde (HCHO) are essential to support air quality and chemistry-climate related studies from the regional to the global scale. The seasonal and inter-annual variations of the formaldehyde distribution are principally related to temperature changes and fire events, but also to changes in anthropogenic (human-made) activities. Its lifetime being of the order of a few hours, HCHO concentrations in the boundary layer can be directly related to the release of short-lived hydrocarbons, which mostly cannot be observed directly from space. Measurements are in mol per square meter (mol/ m^2). Learn more [here](https://www.tropomi.eu/data-products/formaldehyde).
+Long term satellite observations of tropospheric formaldehyde (HCHO) are essential to support air quality and chemistry-climate related studies from the regional to the global scale. The seasonal and inter-annual variations of the formaldehyde distribution are principally related to temperature changes and fire events, but also to changes in anthropogenic (human-made) activities. Its lifetime being of the order of a few hours, HCHO concentrations in the boundary layer can be directly related to the release of short-lived hydrocarbons, which mostly cannot be observed directly from space. Measurements are in mol per square meter (mol/ m^2). Learn more [here](https://sentinels.copernicus.eu/web/sentinel/data-products/-/asset_publisher/fp37fc19FN8F/content/sentinel-5-precursor-level-2-formaldehyde).
 
 ## Description of representative images
 
diff --git a/sentinel-5p/methane/README.md b/sentinel-5p/methane/README.md
@@ -13,7 +13,7 @@ nav_exclude: true
 
 ## Description
 Methane is, after carbon dioxide, the most important contributor to the anthropogenically (caused by human activity) enhanced greenhouse effect. Measurements are provided in parts per billion (ppb) with a spatial resolution of 7 km x 3.5 km.
-Find more information [here](https://www.tropomi.eu/data-products/methane).
+Find more information [here](https://sentinels.copernicus.eu/web/sentinel/data-products/-/asset_publisher/fp37fc19FN8F/content/tropomi-level-2-methane).
 
 ## Description of representative images
 
diff --git a/sentinel-5p/nitrogen-dioxide/README.md b/sentinel-5p/nitrogen-dioxide/README.md
@@ -13,7 +13,7 @@ nav_exclude: true
 
 ## Description
 Methane is, after carbon dioxide, the most important contributor to the anthropogenically (caused by human activity) enhanced greenhouse effect. Measurements are provided in parts per billion (ppb) with a spatial resolution of 7 km x 3.5 km.
-Find more information [here](https://www.tropomi.eu/data-products/nitrogen-dioxide).
+Find more information [here](https://sentinels.copernicus.eu/web/sentinel/data-products/-/asset_publisher/fp37fc19FN8F/content/sentinel-5-precursor-level-2-nitrogen-dioxide).
 
 ## Description of representative images
 
diff --git a/sentinel-5p/ozone/README.md b/sentinel-5p/ozone/README.md
@@ -13,7 +13,7 @@ nav_exclude: true
 
 ## Description
 Ozone is of crucial importance for the equilibrium of the Earth atmosphere. In the stratosphere, the ozone layer shields the biosphere from dangerous solar ultraviolet radiation. In the troposphere, it acts as an efficient cleansing agent, but at high concentration it also becomes harmful to the health of humans, animals, and vegetation. Ozone is also an important greenhouse-gas contributor to ongoing climate change. Since the discovery of the Antarctic ozone hole in the 1980s and the subsequent Montreal Protocol regulating the production of chlorine-containing ozone-depleting substances, ozone has been routinely monitored from the ground and from space. Measurements are in mol per square meter (mol/ m^2)
-Find more information [here](https://www.tropomi.eu/data-products/total-ozone-column).
+Find more information [here](https://sentinels.copernicus.eu/web/sentinel/data-products/-/asset_publisher/fp37fc19FN8F/content/sentinel-5-precursor-level-2-ozone).
 
 ## Description of representative images
 
diff --git a/sentinel-5p/sulphur-dioxide/README.md b/sentinel-5p/sulphur-dioxide/README.md
@@ -13,7 +13,7 @@ nav_exclude: true
 
 ## Description
 Sulphur dioxide enters the Earth’s atmosphere through both natural and anthropogenic (human made) processes. It plays a role in chemistry on a local and global scale and its impact ranges from short term pollution to effects on climate. Only about 30% of the emitted SO2 comes from natural sources; the majority is of anthropogenic origin. Sentinel-5P/TROPOMI instrument samples the Earth’s surface with a revisit time of one day with a spatial resolution of 3.5 x 7 km which allows the resolution of fine details including the detection of smaller SO2 plumes. Measurements are in mol per square meter (mol/ m^2).
-Find more information [here](https://www.tropomi.eu/data-products/sulphur-dioxide).
+Find more information [here](https://sentinels.copernicus.eu/web/sentinel/data-products/-/asset_publisher/fp37fc19FN8F/content/sentinel-5-precursor-level-2-sulphur-dioxide).
 
 ## Description of representative images
 
