The Emerging Trends and Applications of Big Data and Machine Learning/Artificial Intelligence (AI) in Remote Sensing

Dear Colleagues,

Remotely sensed data generated by various platforms (e.g. satellite, manned aircraft, unmanned aerial vehicle and ground-based systems) is a unique source of big data, which has great potential for informative decision making in many domains, including agriculture, environment, business activities, and transport.  Recent advances in data science and AI/machine learning have shown a lot of promise in processing, management and analysing such large and heterogeneous data sources at both local and global scales for various tasks, including land use and land cover mapping (classifications), object-based image analysis (segmentation, object detection), and quantitative modelling (plant biophysical/biochemical parameter retrieval, yield estimation, ecological assessment). This special issue aims at providing an updated, refreshing view of current developments/emerging trends and applications in the field. The ultimate goal is to promote research and sustainable development of advanced big data analytics and AI/machine learning schemes for efficient analysis of remotely sensed data.

Prof. Dr. Liangxiu Han
Prof. Dr. Wenjiang Huang
Prof. Dr. Yanbo Huang
Prof. Dr. Jiali Shang
Dr. Stefano Pignatti
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.