Classification of GRD product

[marpet]

As @ABraun suggested you can invoke gpt from python as a separate process, but you can also use the API of the Graph Processing Framework.

Some examples can be found here (by @antonio19812 ):

GitHub - techforspace/sentinel: Repository created for the Earth Observation...

Also these forum threads can be helpful:

S1A product Terrain correction frustration

Dear all, I am pretty new in the forum and in the SAR topic and need some help here. I am trying to process the following product: S1A_EW_GRDM_1SDH_20170222T082410_20170222T082510_015394_01942C_945D.SAFE My Regions Of Interest (ROI) are mainly polar regions where there is no DEM available. Usually those ROIs contain only ocean or is a mixture of ocean and land. I would like to perform the following process: 1 Radiometric correction 2 Speckle filter 3 Terrain correction 4 Mosaicking (Plea…

Example script for multiple operations?

I was wondering if anyone has an example of how to write a python snappy script with multiple sequential operators? There’s also a strong chance I’m misunderstanding exactly how to work with snappy. I’ve tried examining a few examples such as NDVI_OP (which I don’t understand how to use) and snappy_flh (which I think I understand but am not sure what multispectral sensor input is required). I’ve also looked at @abgbaumann’s snappy_glcm , and it seems like I could repeat/modify that (func_name & …

Handling sentinel data in python ( working with snappy)

I have recently installed SNAP in my Windows8.1 with 8GB RAM and as I said in my first message I am trying to work with SNAP in python using Snappy. I managed to use it properly with the test dataset that is provided with the snappy module in the SNAP directory. I usually work with numpy to handle and process images or multidimensional arrays. But the problem is that the test dataset has really small size if compared with the usual sizes of a Sentinel dataset. And when I try to read for exam…