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Fix a broken link in Global Pasture Watch gsvh-30m_v1_short-veg-height_m description.
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catalog/global-pasture-watch/svh-30m_v1.md

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@@ -37,7 +37,7 @@ less than 50 cm from the ground surface, which may lead to overestimation of hei
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covers, such as wetland saltpans.
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- **Underestimation of maximum heights**: The trained machine learning model exhibited a tendency toward the mean, which
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resulted in overly narrow and optimistic [prediction intervals]((https://stac.openlandmap.org/gpw_gsvh-30m/collection.json)).
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resulted in overly narrow and optimistic [prediction intervals](https://stac.openlandmap.org/gpw_gsvh-30m/collection.json).
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Due to the underestimation of vegetation height in the upper extremes, care should be taken when interpreting absolute
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values in regions with very tall forests, but relative patterns and trends are still informative.
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@@ -46,4 +46,4 @@ or drone Lidar would be necessary to fully assess the quality of the dataset at
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**For more information see [Hunter et. al, 2025](https://doi.org/10.1038/s41597-025-05739-6),
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[Zenodo](https://doi.org/10.5281/zenodo.15198654) and
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[Global Pasture Watch GitHub site](https://github.com/wri/global-pasture-watch)**
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[Global Pasture Watch GitHub site](https://github.com/wri/global-pasture-watch)**

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