Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[REVIEW]: SenSE: Community SAR ScattEring model #7612

Open
editorialbot opened this issue Dec 21, 2024 · 7 comments
Open

[REVIEW]: SenSE: Community SAR ScattEring model #7612

editorialbot opened this issue Dec 21, 2024 · 7 comments
Assignees
Labels
Dockerfile Python review TeX Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning

Comments

@editorialbot
Copy link
Collaborator

Submitting author: @McWhity (Thomas Weiß)
Repository: https://github.com/McWhity/sense
Branch with paper.md (empty if default branch): master
Version: v0.2
Editor: @mbobra
Reviewers: @scottstanie, @arthur-e
Archive: Pending

Status

status

Status badge code:

HTML: <a href="https://joss.theoj.org/papers/ad7ed3c2f83c9ad009e7c18fab5fb1bc"><img src="https://joss.theoj.org/papers/ad7ed3c2f83c9ad009e7c18fab5fb1bc/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/ad7ed3c2f83c9ad009e7c18fab5fb1bc/status.svg)](https://joss.theoj.org/papers/ad7ed3c2f83c9ad009e7c18fab5fb1bc)

Reviewers and authors:

Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)

Reviewer instructions & questions

@scottstanie & @arthur-e, your review will be checklist based. Each of you will have a separate checklist that you should update when carrying out your review.
First of all you need to run this command in a separate comment to create the checklist:

@editorialbot generate my checklist

The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. Any questions/concerns please let @mbobra know.

Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest

Checklists

@scottstanie, please create your checklist typing: @editorialbot generate my checklist

@arthur-e, please create your checklist typing: @editorialbot generate my checklist

@editorialbot
Copy link
Collaborator Author

Hello humans, I'm @editorialbot, a robot that can help you with some common editorial tasks.

For a list of things I can do to help you, just type:

@editorialbot commands

For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

@editorialbot generate pdf

@editorialbot
Copy link
Collaborator Author

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.1109/36.917912 is OK
- 10.1109/36.406677 is OK
- 10.1109/TGRS.1985.289498 is OK
- 10.1163/156939302X01119 is OK
- 10.1109/36.134085 is OK
- 10.1109/36.134086 is OK
- 10.1109/TGRS.2003.821065 is OK
- 10.3390/rs12183037 is OK
- 10.3390/rs13122320 is OK
- 10.1029/RS013i002p00357 is OK
- 10.1109/TGRS.2002.800232 is OK
- 10.3998/0472119356 is OK
- 10.1109/JSTARS.2024.3448625 is OK

🟡 SKIP DOIs

- None

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

@editorialbot
Copy link
Collaborator Author

Software report:

github.com/AlDanial/cloc v 1.98  T=0.05 s (1805.1 files/s, 171105.6 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          51           1082           1131           2308
reStructuredText                18            381            240            973
TeX                              2             25              0            380
Jupyter Notebook                 4              0           1081            237
make                             1             33             11            151
Markdown                         2             45              3            141
YAML                             6             28             23            119
JSON                             1              5              0             31
TOML                             1             17             19             31
Text                             1              0              0             17
Dockerfile                       1              5              1              8
Bourne Shell                     1              1              0              2
DOS Batch                        1              0              0              2
-------------------------------------------------------------------------------
SUM:                            90           1622           2509           4400
-------------------------------------------------------------------------------

Commit count by author:

   112	Thomas Weiß
    98	Alex
    72	McWhity
     7	Ben
     6	PMarzahn
     3	loewalex
     2	BenMGeo
     1	P.Marzahn

@editorialbot
Copy link
Collaborator Author

Paper file info:

📄 Wordcount for paper.md is 720

✅ The paper includes a Statement of need section

@editorialbot
Copy link
Collaborator Author

License info:

🟡 License found: Other (Check here for OSI approval)

@editorialbot
Copy link
Collaborator Author

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

@mbobra
Copy link
Member

mbobra commented Dec 21, 2024

👋 @scottstanie @arthur-e Thank you so much for agreeing to review! You can find the article in the comment boxes above ⬆️ , the software repository linked in the first comment box on this issue. To generate your checklist, use the following command:

@editorialbot generate my checklist

I think you're good to go. Again, JOSS is an open review process and we encourage communication between the reviewers, the submitting author, and the editor. And please feel free to ask me questions, I'm always around.

Can you please respond here (or give a thumbs up) so I know you're in the right place and found all the materials?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Dockerfile Python review TeX Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning
Projects
None yet
Development

No branches or pull requests

2 participants