Defining LUC schemes
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− | + | Before starting to map land cover classes using Sentinel-2 satellite images we need clear definitions and a land use/ land cover (LUC)classification scheme. | |
− | 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 [https://land.copernicus.eu/user-corner/technical-library/urban-atlas-mapping-guide European Urban Atlas]. | An example for a hierarchical land use and land cover (LUC) classification scheme is the [https://land.copernicus.eu/user-corner/technical-library/urban-atlas-mapping-guide European Urban Atlas]. | ||
The scheme defines 5 meta classes where the class ''1. Artificial surfaces'' has many sub classes as shown in '''figure A'''. | The scheme defines 5 meta classes where the class ''1. Artificial surfaces'' has many sub classes as shown in '''figure A'''. | ||
Line 27: | Line 26: | ||
| 2 | | 2 | ||
| Agricultural | | Agricultural | ||
− | | | + | | 21 |
| Arable land | | Arable land | ||
| 255-255-168 | | 255-255-168 | ||
Line 33: | Line 32: | ||
| 2 | | 2 | ||
| Agricultural | | Agricultural | ||
− | | | + | | 22 |
| Bare soil | | Bare soil | ||
| 253-191-168 | | 253-191-168 | ||
Line 39: | Line 38: | ||
| 2 | | 2 | ||
| Agricultural | | Agricultural | ||
− | | | + | | 23 |
| Pasture | | Pasture | ||
| 230-230-77 | | 230-230-77 |
Latest revision as of 14:08, 2 December 2020
Before starting to map land cover classes using Sentinel-2 satellite images we need clear definitions and a land use/ land cover (LUC)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.
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 | 21 | Arable land | 255-255-168 |
2 | Agricultural | 22 | Bare soil | 253-191-168 |
2 | Agricultural | 23 | 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 | 100-50-0 |
6 | Miscellaneous | 63 | Unclassified | 0-0-0 |