Training data selection (SCP)

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(Defining land use/cover classes)
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| 1
 
| 1
 
| Artificial surfaces
 
| Artificial surfaces
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| 11
 
| Built-up
 
| Built-up
 
| 230-0-77
 
| 230-0-77
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| 2
 
| Agricultural
 
| Agricultural
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| Arable land
 
| Arable land
 
| 255-255-168
 
| 255-255-168
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| Agricultural
 
| Agricultural
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| Bare soil
 
| Bare soil
 
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| 253-191-168
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| Agricultural
 
| Agricultural
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| Pasture
 
| Pasture
 
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| 230-230-77
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| 3
 
| Natural and semi-natural areas
 
| Natural and semi-natural areas
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| Broad leaved tree cover
 
| Broad leaved tree cover
 
| 128-255-0
 
| 128-255-0
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| 3
 
| Natural and semi-natural areas
 
| Natural and semi-natural areas
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| Coniferous tree cover
 
| Coniferous tree cover
 
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| 0-166-0
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| 5
 
| Water
 
| Water
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| Water
 
| Water
 
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| 128-242-230
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| Miscellaneous
 
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| Cloud
 
| Cloud
 
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| 255-255-255
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| Miscellaneous
 
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| Cloud shadow
 
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| 0-0-0
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| Miscellaneous
 
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| Unclassified
 
| Unclassified
 
| 0-0-0
 
| 0-0-0

Revision as of 14:17, 18 November 2020

Defining land use/cover classes

Before starting to map land cover classes using Sentinel-2 satellite images we need clear definitions and a classification scheme. An example for a hierarchical land use and land cover (LUC) classification scheme is the European Urban Atlas. The scheme defines 5 meta classes where the class 1. Artificial surfaces has many sub classes as shown in figure A.

Figure A:LUC classification scheme of the European Urban Atlas
Figure B: LUC classes for Göttingen

The specification of other meta classes is not as detailed. If we are more interested in forest and open area classes we need to adapt and modify this scheme. On the lowest level not all classes defined in the European Urban Atlas do also appear in the surroundings of Göttingen (figure B). In addition we need to consider the phenolgical development of vegetation at specific acquisiton dates and to specify more classes which can possibly be identified in multispectral feature space of the satellite image. An example of an adapted simplified scheme is shown in the table below.

MC ID MC info C ID C info RGB code
1 Artificial surfaces 11 Built-up 230-0-77
2 Agricultural 22 Arable land 255-255-168
2 Agricultural 23 Bare soil 253-191-168
2 Agricultural 24 Pasture 230-230-77
3 Natural and semi-natural areas 31 Broad leaved tree cover 128-255-0
3 Natural and semi-natural areas 32 Coniferous tree cover 0-166-0
5 Water 51 Water 128-242-230
6 Miscellaneous 61 Cloud 255-255-255
6 Miscellaneous 62 Cloud shadow 0-0-0
6 Miscellaneous 63 Unclassified 0-0-0
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