Random Forest Classification with SNAP: Monitoring Clear Cut using multitemporal Sentinel-1
Ғылым және технология
Two Sentinel-1 SAR images are pre-processed, and a RandomForest classification of the area has been performed to identify new clear cut areas between the acquisitions.
Пікірлер: 12
Hello, would you know by any chance, how to export from snap and exploit the RF statistics ? In order to observe ranking of variables by importance ? Thank you very much in advance!
Hi there, can i ask you one que. which one easier Random forest using SNAP , R or Google earth engine? Thank you
2:35 Is it better than DEM-based coregistration? In my case, SRTM 3sec TC is not working for some reason (I think automatic download is not working)
Hello! Why is it that the vectors i made does not appear in the train vector box in the RF classification window
Hi! Can I ask you what kind of processing steps have been made to the original images?
@RemoteSensingGISVideoTutorials
5 жыл бұрын
I think it is all shown in the Video, could you be more specific?
@laurafois8545
5 жыл бұрын
@@RemoteSensingGISVideoTutorials Did you start with the original data (I mean with the S1 IW GRDH data) for the RF classification?
@RemoteSensingGISVideoTutorials
5 жыл бұрын
@@laurafois8545 the Video starts with the GRDH Images downloaded from the scihub. As can be seen, I do Multilooking, Terrain Correction and Coregistration before the classification. Did that answer your Question?
nice video I need one help how to mosaic snap using Landsat 8 and 5 data processing can u share the details or pls upload video
The truth handling hundreds of thousands of columns and rows are really hard for laptop and desktops. Having sets of those are really hard