Thank you for answers
I only have another question.
As I look at the result of my classification (Random forest) with backscattering image. It works (you can see the result in below) but I do not know why when I add backscattering image in ‘productset reader’, whole options (I mean type, acquisition , track and orbit) are empty.
Is this a problem? Although I think classification is working even without appearing these options.
Image1: Adding backscattering image in ‘productset reader’
When I am using this Random forest classification process with only 2 vector data classes water and non-water, I see this error “bound must be positive” as in the screen capture below.
I try to do again all the previous steps as you said above and I even check the Pixel Info, the intensity of pixel in each band > 0 but this error still appear.
Do you know how to solve this problem?
Thank you in advance.
Yes I solved it. Because in the terrain correction step I chose WGS 84, then it happend. So I need to reproject my data. Go to Raster >> Geometric Operations >> Reprojection, and then choose the project as Geographic Lat/Lon (WGS84)
I reproject the data into Geographic Lat/Lon. After that, the values do not change.
I try some times with some different data and I find out that in the classification step, it works with the Lat/Lon project.
hi , i need help
you have created polygon on sigma0_hh_db,s o how you had applied on _glcm product ,as both are different
or i have to stack sigma0_vv_db band to _glcm product.
where to give polygon on sigma0_vv_db or any one of the glcm product
dear ABraun sir，I had a train classification results,as follows,but it failed when i try to run the RFclassfication(my study area is moutain glacier ,need to classfied with wet snow,dry snow ,moranie,and ice) [图片]