Closed dbuscombe-usgs closed 2 weeks ago
dbuscombe-usgs
commented
1 month ago On the same thread, it would be helpful to provide an overview of what need the 'deep learning' module meets, in line with more details about what it is and how it works https://github.com/yotarazona/scikit-eo/issues/15
yotarazona
commented
2 weeks ago Hi @dbuscombe-usgs, sorry for the delay!. Thanks for this!. This issue was cover in the new version of the paper as well. Please see https://github.com/yotarazona/scikit-eo/actions/runs/9550361620 for more details. In addition, details of the Deep Learning model including activation function used, among other details were added in the notebook tutorial number 11.
We hope we have met all your expectations.
Hi, I'm really enjoying reviewing your codes and paper for JOSS https://github.com/openjournals/joss-reviews/issues/6692
As you will have seen in previous issues, I have found a few minor issues related to imports, data links, one or two hopefully easily fixable bugs. I have however managed to run almost all of the notebooks, read the paper, review and test API functionality, and I'm very pleased with this new addition to the community!
In order for me to sign off on the paper, I (and I assume many readers) would like to know the community a little better. Specifically, with reference to review criterion
State of the field: Do the authors describe how this software compares to other commonly-used packages?I note that in the paper there are no references to other software packages that may have overlapping functionality, or perhaps legacy software that this package now replaces? Please provide some overview of this in a revised manuscript. For example, I am a user of geemap, which I would consider to be comparable to this package. A very small literature review of what else has been done in support of community earth observation python software would be very helpful. Thanks.