Open g4brielvs opened 1 month ago
Hi @g4brielvs , thank you for submitting BlackMarblePy to pyOpenSci. I'm Chiara, currently serving as Editor In Chief. I just want to let you know that I'm going to perform the first checks on the package ASAP, hopefully by the end of the month. Thanks for your patience!
Hi Chira (@cmarmo)! Thank you for your message and for taking the time to review BlackMarblePy. I appreciate the update and look forward to any feedback you may have.
Hi @g4brielvs ! Thank you for submitting your package for pyOpenSci review. Sorry for taking so much time to come back to you.
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@cmarmo Thank you so much for reviewing BlackMarblePy. The issues raised on your comments have been addressed. Please let us know if you have any additional feedback or there is anything I can do to help.
Thank you @g4brielvs ! I believe we are ready to seek for an editor. I wonder if you can tag this last version and update the "submitted version" in the description, so your last modifications are transparent for the reviewers. Thank you so much!
Thank you @g4brielvs ! I believe we are ready to seek for an editor. I wonder if you can tag this last version and update the "submitted version" in the description, so your last modifications are transparent for the reviewers. Thank you so much!
@cmarmo Thanks so much! And absolutely. I just created the v2024.08.1 release. Please let us know if there is anything we can do to help.
Hello @g4brielvs, I am glad to announce that @yeelauren kindly accepted to serve as editor for the BlackMarblePy submission. Thank you so much Lauren!
I'm letting Lauren introduce herself here and wishing to you all a happy review process! :tada:
Thank you for the update @cmarmo @lwasser! Welcome, @yeelauren, and thank you for taking on the role of editor for the BlackMarblePy submission. I’m looking forward to working with you throughout the review process. If there’s anything you need from me or any way I can assist, please don’t hesitate to reach out.
Submitting Author: Gabriel Stefanini Vicente (@g4brielvs) All current maintainers: @g4brielvs, @ramarty Package Name: BlackMarblePy One-Line Description of Package: Georeferenced Rasters and Statistics of Nightlights from NASA Black Marble Repository Link: https://github.com/worldbank/blackmarblepy Version submitted: v2024.8.1 EiC: @cmarmo Editor: @yeelauren Reviewer 1: TBD
Reviewer 2: TBD
Archive: TBD JOSS DOI: TBD Version accepted: TBD Date accepted (month/day/year): TBD
Code of Conduct & Commitment to Maintain Package
Description
BlackMarblePy is a Python package that provides a simple way to use nighttime lights data from NASA’s Black Marble project. Black Marble is a NASA Earth Science Data Systems (ESDS) project that provides a product suite of daily, monthly and yearly global nighttime lights. This package automates the process of downloading all relevant tiles from the NASA LAADS DAAC to cover a region of interest, converting the raw files (in HDF5 format), to georeferenced rasters, and mosaicking rasters together when needed.
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Who is the target audience and what are scientific applications of this package? The target audience for BlackMarblePy includes researchers, scientists, and analysts working in the fields of urban studies, environmental science, and socio-economic research. The package facilitates access to NASA's Black Marble nighttime lights data, enabling applications such as monitoring urban growth, assessing the impact of natural disasters, and studying human activities' influence on the environment.
Are there other Python packages that accomplish the same thing? If so, how does yours differ? While there are other Python packages that provide access to satellite imagery and remote sensing data, BlackMarblePy is specifically tailored for NASA's Black Marble nighttime lights data. It offers a more streamlined and efficient way to retrieve, process, and analyze this particular dataset, providing functionalities and tools optimized for nighttime lights research.
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