Editorial policy

This multidisciplinary journal covers a wide range of topics, including but not limited to various applications of advanced remote sensing techniques (e.g., UAV-SfM photogrammetry, Lidar, VR, and multi/hyperspectral sensors) in various sectors such as water resources, agriculture, forestry, fisheries, agro-hydrometeorology, climate change, geology, oceanography, and disaster management in Bangladesh as well as around the world. The scope of the journal also encompasses disciplines such as space science and technology, rocket dynamics, astrophysics, lunar, and deep space observation.

Ethical guidelines

We encourage publishing novel research to make it open to the scientific community. Reviewers should disclose any conflicts of interest that may be perceived as bias for or against the paper or authors.

Manuscript requirements

Authors should properly prepare the manuscript following the authors' guidelines of this journal. Authors are also asked not to submit a manuscript that has already been submitted to another journal at the same time.

Peer-review policy 

All submissions to this journal are first reviewed for completeness and only then sent to be assessed by an Editor/Editorial board, who will decide whether they are suitable for peer review or not. Where an Editor is on the author list or has any other competing interest regarding a specific manuscript, another member of the Editorial Board will be assigned to peer review.

Policy on the use of AI in peer-review

Peer reviewers play a vital role in scientific publishing. Their expert evaluations and recommendations guide editors in their decisions and ensure that published research is valid, rigorous, and credible. Editors select peer reviewers primarily because of their in-depth knowledge of the subject matter or methods of the work they are asked to evaluate. This expertise is invaluable and irreplaceable. Peer reviewers are accountable for the accuracy and views expressed in their reports, and the peer review process operates on a principle of mutual trust between authors, reviewers, and editors. Despite rapid progress, generative AI tools have considerable limitations, i.e., they can lack up-to-date knowledge and may produce nonsensical, biased, or false information. Manuscripts may also include sensitive or proprietary information that should not be shared outside the peer review process. For these reasons, we request that peer reviewers do not upload manuscripts into generative AI tools.