[R-sig-Geo] How to identify the different discrete classes from a raster of land cover data (tif).

Manuel Spínola m@p|no|@10 @end|ng |rom gm@||@com
Tue Mar 2 20:35:57 CET 2021


Thank you very much Ben.  That works.

Manuel









El mar, 2 mar 2021 a las 12:50, Ben Tupper (<btupper using bigelow.org>) escribió:

> Hi,
>
> I'm not familiar with the dataset, but I am guessing it is related to how
> the labels are encoded. If that is the case, then it is possible the stored
> class labels are not literally 1-23 but are 23 labels selected from the
> range of 0-255.  You could do a brief check with ...
>
> table(r[])
>
> Cheers,
> Ben
>
>
>
> On Tue, Mar 2, 2021 at 12:15 PM Manuel Spínola <mspinola10 using gmail.com>
> wrote:
>
>> Dear list members,
>>
>> I am working with a .tif file from the Copernicus Global Land Service with
>> land cover data.  The file has 23 discrete classes but the raster shows a
>> continuous range of values (0 to 255).
>>
>> r =
>>
>> raster(W100N20_PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif)
>>
>> class      : RasterLayer
>> dimensions : 20160, 20160, 406425600  (nrow, ncol, ncell)
>> resolution : 0.0009920635, 0.0009920635  (x, y)
>> extent     : -100, -80, 0, 20  (xmin, xmax, ymin, ymax)
>> crs        : +proj=longlat +datum=WGS84 +no_defs
>> source     :
>> /Users/manuelspinola/Documents/01-Manolo/R_OVS_material/landscape_ecology/datos_copernicus/W100N20_PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif
>> names      :
>> W100N20_PROBAV_LC100_global_v3.0.1_2019.nrt_Discrete.Classification.map_EPSG.4326
>> values     : 0, 255  (min, max)
>>
>>
>>
>> How can I recognize the different discrete classes included in the raster
>> representing each land cover type.
>>
>> Manuel
>>
>>
>> --
>> *Manuel Spínola, Ph.D.*
>> Instituto Internacional en Conservación y Manejo de Vida Silvestre
>> Universidad Nacional
>> Apartado 1350-3000
>> Heredia
>> COSTA RICA
>> mspinola using una.cr <mspinola using una.ac.cr>
>> mspinola10 using gmail.com
>> Teléfono: (506) 8706 - 4662
>> Personal website: Lobito de río <
>> https://sites.google.com/site/lobitoderio/>
>> Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>
>>
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>>
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>
>
> --
> Ben Tupper
> Bigelow Laboratory for Ocean Science
> East Boothbay, Maine
> http://www.bigelow.org/
> https://eco.bigelow.org
>
>

-- 
*Manuel Spínola, Ph.D.*
Instituto Internacional en Conservación y Manejo de Vida Silvestre
Universidad Nacional
Apartado 1350-3000
Heredia
COSTA RICA
mspinola using una.cr <mspinola using una.ac.cr>
mspinola10 using gmail.com
Teléfono: (506) 8706 - 4662
Personal website: Lobito de río <https://sites.google.com/site/lobitoderio/>
Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>

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