About this Research Topic
The availability of remote sensing data using different acquisition methods and various resolutions has promoted the development of different data fusion techniques. In the last decades, the achievements made by scientists have been exceptional, leading to major advances in the very dynamic field of Data Fusion and Assimilation. This Research Topic is part of the “Methods in series” which aims to highlight the latest experimental techniques and methods used to investigate fundamental questions in all research and development areas of Data Fusion and Assimilation - from statistical analysis to machine learning-based methods, including traditional applications and deep learning-based models.
Review articles or opinions on methodologies or applications including the advantages and limitations of each are welcome. This Topic includes technologies and up-to-date methods which help advance science. The contributions to this collection will undergo peer review. Novelty may vary, but the utility of a method or protocol must be evident. We welcome contributions covering all aspects of Data Fusion and Analysis.
This Research Topic welcomes:
• Methods: Describing either new or existing methods that are significantly improved or adapted for specific purposes. These manuscripts may include primary (original) data.
• Protocols: Detailed descriptions, including pitfalls and troubleshooting, to benefit those who may evaluate or employ the techniques. The protocols must be proven to work.
• Perspective or General Commentaries on methods and protocols relevant to Data Fusion and Assimilation research.
• Reviews and Mini-Reviews of topical methods and protocols highlighting the important future directions of the field.
• Brief Research Reports: Brief description of important or preliminary data from original research based on a state-of-the-art data fusion and analysis study. These papers could ignite further potential research in connection with existing work.
Review articles or opinions on methodologies or applications including the advantages and limitations of each are welcome. This Topic includes technologies and up-to-date methods which help advance science. The contributions to this collection will undergo peer review. Novelty may vary, but the utility of a method or protocol must be evident. We welcome contributions covering all aspects of Data Fusion and Analysis.
This Research Topic welcomes:
• Methods: Describing either new or existing methods that are significantly improved or adapted for specific purposes. These manuscripts may include primary (original) data.
• Protocols: Detailed descriptions, including pitfalls and troubleshooting, to benefit those who may evaluate or employ the techniques. The protocols must be proven to work.
• Perspective or General Commentaries on methods and protocols relevant to Data Fusion and Assimilation research.
• Reviews and Mini-Reviews of topical methods and protocols highlighting the important future directions of the field.
• Brief Research Reports: Brief description of important or preliminary data from original research based on a state-of-the-art data fusion and analysis study. These papers could ignite further potential research in connection with existing work.
Keywords: Data Fusion and Assimilation, Remote Sensing, Method papers
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
