adding more text for less confusion
"* A geographical shape of Slovenia was taken from [Natural Earth database](http://www.naturalearthdata.com/downloads/10m-cultural-vectors/) and a buffer was applied. The shape is available in repository: `example_data/svn_buffered.geojson`\n",
"* Convert it to selected CRS: taken to be the CRS of central UTM tile (UTM_33N)\n",
"* Split it into smaller, manageable, non-overlapping rectangular tiles\n",
- "* Select a small 3x3 area for classification"
+ "* Select a small 3x3 area for classification\n",
+ "\n",
+ "Be sure that your choice of CRS is the same as the CRS of your reference data.\n",
+ "\n",
+ "In the case that you are having problems with empty data being downloaded, try changing the CRS to something that suits the location of the AOI better."
]
},
{
"source": [
"The main point of this task is to create a raster mask from the vector polygons and add it to the eopatch. With this procedure, any kind of a labeled shapefile can be transformed into a raster reference map. This result is achieved with the existing task `VectorToRaster` from the `eolearn.geometry` package. All polygons belonging to the each of the classes are separately burned to the raster mask.\n",
"\n",
- "Land use data are public in Slovenia, so you can download the full dataset [here](http://rkg.gov.si/GERK/documents/RABA_verzije.rar)."
+ "Land use data are public in Slovenia, you can download the full dataset [here](http://rkg.gov.si/GERK/documents/RABA_2019_01_31.RAR), however, it is only available in the national `D96/TM` coordinate system. In order to use the dataset from the link with the shapefile above, you have to first convert the CRS to `UTM_33N`!\n",
+ "\n",
+ "The provided dataset in this notebook has already been converted for the purposes of the example."
]
},
{
