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| Main Authors: | , |
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| Format: | Dataset Open Access |
| Language: | en |
| Published: |
PANGAEA
2018
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| Subjects: | |
| Online Access: | https://doi.org/10.1594/PANGAEA.895391 |
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| _version_ | 1867171859503513600 |
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| author | Banzhaf, Ellen Kollai, Helen |
| author_facet | Banzhaf, Ellen Kollai, Helen |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | Mapping urban structures is a vital prerequisite for urban planners to enhance their databases for liveable cities dedicated to sustainable development. Therefore, it is important to measure urban grey and green structures at the scale of local districts to understand the urban structure and residential needs for urban ecosystem services. Our detailed analysis incorporates digital orthophotos (DOP), LiDAR data and vital statistics. We used remote sensing techniques to create an Object-based Image Analysis (OBIA) that differentiates grey and green structures with high precision and at a refined scale. This spatial information is linked with allocated population and health-related indicators to identify building types with the highest population densities and local districts lacking in different green structures. Our results show the share of built-up structures and the contribution of green structures to urban ecosystem services, human health and well-being at the local district level. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_895391 |
| institution | PANGAEA |
| language | en |
| publishDate | 2018 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Land use / Land cover for Leipzig, Germany, for 2012 by an object-based image analysis (OBIA) Banzhaf, Ellen Kollai, Helen Mapping urban structures is a vital prerequisite for urban planners to enhance their databases for liveable cities dedicated to sustainable development. Therefore, it is important to measure urban grey and green structures at the scale of local districts to understand the urban structure and residential needs for urban ecosystem services. Our detailed analysis incorporates digital orthophotos (DOP), LiDAR data and vital statistics. We used remote sensing techniques to create an Object-based Image Analysis (OBIA) that differentiates grey and green structures with high precision and at a refined scale. This spatial information is linked with allocated population and health-related indicators to identify building types with the highest population densities and local districts lacking in different green structures. Our results show the share of built-up structures and the contribution of green structures to urban ecosystem services, human health and well-being at the local district level. |
| title | Land use / Land cover for Leipzig, Germany, for 2012 by an object-based image analysis (OBIA) |
| topic | |
| url | https://doi.org/10.1594/PANGAEA.895391 |