I have been trying to replicate this methodology to my study area, and I have had a few challenges, and a help from you will be great.
My challenge lies around the Land cover change datasets. From creating sample points in line 4 of your code right up till interpolate spatial random effects in line 9, the land cover change datasets used is "fcc23.tif". But in line 10 of your code in compute prediction the input_forest_raster makes use of "forest_t3.tif" which is different from the previous dataset you have been using, and it got me all confused.
So I wish to ask if you can please provide me with the methodology you used in creating the forest cover change dataset. Because what I did was created a supervised classification land use land cover map of my area for the year 2000 and 2021 then performed post-classification analysis to get the land cover change dataset for my area. But from the datasets you used, there are different types of forest cover change datasets.
I have been trying to replicate this methodology to my study area, and I have had a few challenges, and a help from you will be great.
My challenge lies around the Land cover change datasets. From creating sample points in line 4 of your code right up till interpolate spatial random effects in line 9, the land cover change datasets used is "fcc23.tif". But in line 10 of your code in compute prediction the input_forest_raster makes use of "forest_t3.tif" which is different from the previous dataset you have been using, and it got me all confused.
So I wish to ask if you can please provide me with the methodology you used in creating the forest cover change dataset. Because what I did was created a supervised classification land use land cover map of my area for the year 2000 and 2021 then performed post-classification analysis to get the land cover change dataset for my area. But from the datasets you used, there are different types of forest cover change datasets.