Comments (6)
Hi @oarcher, I have thanks for bringing this to our attention!
I will try to reproduce the problem later today, but just to make sure, you are using unzipped GRD data, right?
from pytroll-examples.
Hi @mraspaud , thanks for your attention !
Yes, I am using unzipped GRD data.
from pytroll-examples.
Merci pour les precisions!
I can reproduce the problem, so we definitely need to fix this:
It seems like not all available datasets can be loaded, this is an issue I need to raise in satpy.
In the meanwhile, if you want a fresh example, you can try this (works best over sea-ice :), using EW data)
scn = Scene(reader='sar-c_safe', filenames=my_files)
scn.load(["sar-ice-log"])
scn.show("sar-ice-log")
from pytroll-examples.
@oarcher the example has now been updated. Thanks again for reporting this!
from pytroll-examples.
Merci, ça marche !
Just to introduce myself, as I am a very new satpy user.
I work with S1 IW EW WV L1 data in GRD or SLC, over ocean, to retrieve wind speed and waves spectra.
I wrote xsar, that is a sentinel1 xarray/dask reader (see xsar.open_dataset example), and it's fits my needs for high resolution computations (like moving box gradients analysis).
But I am not happy for the georeferencing part, like landmask and coastlines. Satpy seems to be much better for that.
So my plan with satpy is to try the sar_c reader, to see if it can fit my computational needs. I will be also able to cross validate both xsar and satpy readers.
Ideally, I'd like drop xsar to use satpy. But if I've got problems, I will probably use something like pyresample in xsar.
from pytroll-examples.
Nice meeting you :) xsar looks great!
The satpy SAR_C reader is still quite rough around the edges, simply because I don't have much time to allocate to it, but I'm definitely interested in making it better (especially for reading different datasets, and adding SLC support). So I'd be happy helping you out with testing satpy, that will help me pinpoint what needs to be improved first for SAR processing.
Anyway, feel free to ping me in issues on github or even join us on the pytroll slack (see pytroll.github.io) if you want to discuss further.
Bon week-end!
Martin
from pytroll-examples.
Related Issues (20)
- Possible example to demonstrate manipulating data HOT 3
- Add CI travis jobs using treon
- Outdated reader names in some of the notebooks HOT 5
- Unable to create a true color image HOT 2
- Add a notebook about different resampling methods HOT 2
- Example suggestion: Remap data to Robinson projection starting with cartopy area HOT 2
- Refactor binder environment using nbgitpuller
- ValueError: No reader(s) named: ['safe_msi'] HOT 2
- Feature request: update data in Hurricane Florence example to use data from GCP HOT 1
- Instructions to build the environment file
- Can't clone repository due to GitHub LFS limits HOT 10
- Feature requestion: add example of scatter plot to Cartopy Plot.ipynb
- Feature request: Use satellite data stored at AWS HOT 9
- coastline/borders HOT 5
- On-the-fly decompression of hrit files not working HOT 2
- Update AVHRR GAC/LAC example
- Obsolete keyword argument in Himawari-8 True Color example HOT 5
- FY4A_agri_introduction(zh-CN).ipynb need agri_l1_4000m_geo, how can i do ? HOT 11
- Fix hrit_msg use of 'natural' composite name HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from pytroll-examples.