Systematic Review Metadata for Surveys on Deep Learning in Remote Sensing

Published: 22 January 2025| Version 2 | DOI: 10.17632/n2bbxztxjz.2
Contributor:
Soorya Narayan Satheesh

Description

A systematic review dataset analyzing research paper methodologies, integrating PRISMA metrics and Methodological Rigor Index (MRI) scores. Includes journal metadata, publication dates, and computed quality metrics for reproducibility assessment.

Files

Steps to reproduce

The Part-1 dataset was created by analyzing 42 research papers using a questionnaire containing 90 number of questions. Each question is associated with a field in the dataset. The detailed list of questions and the associated fields in the dataset are included in the code_book_v_1.xlsx. There are 90 fields associated with each question from the questionnaire. There are also six other computed secondary fields in the dataset whose information/data transformation rules are included in the data guide.

Categories

Remote Sensing, Survey, Deep Learning

Licence