Wiki source code of 3.15 Land Composition
Version 3.1 by Emily West on 2022/01/17 16:25
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3.1 | 1 | = 3.15 Land Composition = |
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| 3 | Project Name: MAvES (Mapping, Assessment and Valuation of Ecosystems and their Services) (JRC-D3- Institutional project) | ||
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| 6 | |=(% style="width: 237px;" %)Pillar of Sustainable Development|=(% style="width: 646px;" %)Societal challenge | ||
| 7 | |(% style="width:237px" %)Planet|(% style="width:646px" %)3 - Green Space Management | ||
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| 11 | ====== **Description** ====== | ||
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| 13 | Land composition or co-occurrence of land use types, is a measure of spatial distribution of elements or components of a landscape. To quantify land composition we use the Landscape Mosaic (LM), model available in Guido's tool box (Vogt and Riitters 2017). A land mosaic is a tri-polar classification scheme that represents the land type dominance, the interface zone and the mix zone within a defined area. The classification uses the threshold values of 10%, 60%, and 100% along each axis to partition the tri-polar space into 19 classes. These threshold values are indicative for the presence (10%), dominance (60%), or uniqueness (100%) of each land cover type. The model measures land type heterogeneity and allows to consider trade‐offs occurring between intra-land type changes (i.e., modification of the area of a given land type) and inter land types changes (i.e., direction of change). It provides a measure of the relative contributions of the three key land types in percentage within a given neighborhood/observation area. | ||
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| 15 | Land composition is used to assess the co-occurrence of land types within each Functional Urban Area. It represents the arrangements of ecosystem types within and around cities. | ||
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| 18 | ====== **Scale as linked to D2.2 framework** ====== | ||
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| 20 | * City | ||
| 21 | * Neighborhood | ||
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| 24 | ====== **Data source [ link to data framework]** ====== | ||
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| 26 | * Satellite | ||
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| 29 | ====== **Data needs** ====== | ||
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| 31 | * Corine Land Cover (CLC) 2000-2018, Version 20 - the model can be implemented using any land use land cover data | ||
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| 34 | ====== **Expected Outputs** ====== | ||
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| 36 | * Precision: 100 m | ||
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| 39 | ====== **Calculation methods** ====== | ||
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| 41 | * Dominant land types were extracted from Corine Land Cover. Agricultural areas include all agricultural land types identified in Corine, natural areas include all natural and semi-natural land types, developed areas include all artificial land types including urban green. Parameters applied for the analysis of 700 EU Functional Urban Areas. | ||
| 42 | * Dominant land types: | ||
| 43 | * [[image:1642436572962-432.png]] | ||
| 44 | * [[image:1642436599350-238.png]] | ||
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| 47 | ====== **Links and references** ====== | ||
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| 49 | * Landscape Mosaic (LM), model available in Guido's tool box (http:~/~/forest.jrc.ec.europa.eu/download/software/guidos/) | ||
| 50 | * Vogt P, Riitters K (2017) GuidosToolbox: universal digital image object analysis. Eur J Remote Sens 50(1): 352–361. doi: 10.1080/22797254.2017.1330650 | ||
| 51 | ** + next MAES report will include the methodology applied to all EU cities | ||
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| 55 | Revisions | ||
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| 57 | (% class="success" %)|(% style="width:68px" %)**Version**|(% style="width:179px" %)**Name**|(% style="width:112px" %)**Date**|(% style="width:636px" %)**Changes made** | ||
| 58 | (% class="active" %)|(% style="width:68px" %)**0.1**|(% style="width:179px" %)Emily (EcoWise)|(% style="width:112px" %)17/01/2022|(% style="width:636px" %)Factsheet created | ||
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