Forest species classification

my area covers 6day sentinal-1 data so i would try to look at InSAR coherence

my study area is moutain glacier ,which need to classfiy to 5 claases like wet snow,dry snow,moranie,ice and wet sand.like this picture


Infact i need to classy the glacer with SAR datas(Sentinel-1)and Optical datas(sentinel-2),so i need to know ,what should i do to get it .

have you seen this tutorial on the fusion of Sentinel-1 and Sentinel-2? It suggests many ways to retrieve special landcover classes based on both datasets: http://step.esa.int/docs/tutorials/S1TBX%20Synergetic%20use%20of%20S1%20(SAR)%20and%20S2%20(optical)%20data%20Tutorial.pdf

dear sir , i had a another one problem that i intend to used sentinel-2 datas to classfy the moutain glacier into 5 types(wet snow,dry snow,moranie,ice and wet sand)with Ground reflectance(Different surface types correspond to different ranges of surface reflectance),but it failed(when i train the samples as your steps).

Can you please specify how it failed?

here is my result ,which hadn’t the frequency,so I failed to classfy the glacier.
and this is my training samples like the picture shows:
image image and results of classfication was empty.

Did you reproject your data before collecting the training samples? It was reported here that classification only works with reprojected data


Yeah,sir .I had a reult that the terrain has undergone severe deformation after the reproject .
before,image ,after,

,i don’t konw why.

Maybe you selected “orthorectify“ and the quality of the DEM in this area is bad

my DEM data is 5 m spatial resolution.

still it can introduce errors in the result. Please repeat without orthorectification for a try.

dear sir , i did that follow the your tutorial on the fusion of sentinel-1 and sentinel-2 ,and when i had to do the terrain correction the dem data that need to download was not work(the step had been stopped here 10 hours) with sentinel-1,the matter as follows ,colud you tell me why ?

can i change external DEM data here ?

Multi-Looking is not needed because you want to keep the resolution of 10 meters.

Graph files are not memory efficient if you execute the steps separately it takes only s couple of minutes and you keep track of the outputs of each step.

I don’t think terrain correction is the problem unless your image lies outside the SRTM coverage.

Thank you very much,sir,I had get the results of collocation.and I want to export RGB image to arcgis ,however i get the image without spatial reference coordinate system .what can i do ,just as this picture.

the RGB export simply writes a screenshot. If you want to have the same color codings in ArcMap, you at best select File > Export > GeoTiff
Then you select “Subset…” and switch to “Band subset” where you de-select all bands you don’t need.

The exported GeoTiff then contains all bands in a single stacked product and you can create an RGB in ArcMap from it.

grafik

Yeah,sir had finished and got the image with the spatial reference coordinate system.However, its resolution is lower than in snap,why ?and what should i do ?


can I get generated the map form the snap .Exportting the image from the snap to arcgis will reduce data resolution?

Why do you think it has a lower spatial resolution? You can check in the properties of the raster in ArcMap.

yes,sir,you are right.Thanks again.

In this way only have the principal component analysis and histogram and statistics,and havn’t the accuracy evaluation of results. so how to classfy and to evaluate the accuracy?

Again, many of these things were already discussed in other topics. You find them via the search function: