| Autor: |
Timothy Kirsten, Michael Timm Hoffman, Wesley Bell, Vernon Visser |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Environmental monitoring and assessment. 194(10) |
| ISSN: |
1573-2959 |
| Popis: |
Member states of the United Nations Convention to Combat Desertification are required to report on the proportion of land that is degraded in their countries, a requirement that is also tied into the UN Sustainable Development Goals (SDGs). National land degradation assessments are often conducted with the use of remote sensing data which are not always ground truthed. Google Street View (GSV) provides high resolution, panoramic imagery across large parts of the world that has the potential to be used to ground truth land degradation assessments. We apply three different methodologies (visual interpretation of GSV images, GSV image classification and vegetation index extraction) to derive vegetation cover estimates from Google Street View imagery for the Hardeveld bioregion of the Succulent Karoo biome in South Africa. Visual estimates of cover best predict known habitat condition values (adjusted R |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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