Special Issue "Towards Practical Application of Artificial Intelligence in Remote Sensing"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: 31 May 2021.
Interests: geospatial cyberinfrastructure; artificial intelligence; machine learning; remote sensing; image recognition; geoinformatics; agricultural drought; high-performance computing
Interests: earth system science; geospatial information science; agro-geoinformatics; geospatial web service; spatial data infrastructure; geospatial data catalog; interoperability standard; agricultural drought monitoring and forecasting
Special Issues and Collections in MDPI journals
Special Issue in Remote Sensing: Selected Papers from Agro-Geoinformatics 2018
Interests: satellite remote sensing; atmospheric chemistry and composition; climate analysis; emission assimilation; air quality forecasting/reanalysis; Ozone; PM2.5; dust storm
Interests: earth science; geoinformatics; data management
Artificial intelligence is gaining more and more attention in remote sensing today. We have heard many successful stories of using neural networks on remote sensing datasets to solve Earth system science problems. However, practically using them in real-world scenarios is still very challenging and requires advanced computational resources and detailed AI engineering. For instance, the deep stack and huge number of parameters in deep neural network models greatly increases the complexity, resource consumption and entry barrier of applying AI models on remote sensing datasets. The uncertainty of AI methods is also affecting the trustworthiness of the results among stakeholders. This Special Issue will discuss the latest progresses on the full-stack workflow of using AI models on remote-sensed or field-observed geospatial datasets, including satellite imageries, aerial images, ground sensor networks, model simulations, reanalysis, radar data, surveyed tables, etc. The aim is to bring together community experiences to refine our theory and technology on building, integrating, and utilizing AI models to practically address remote sensing-related challenges raised in solving the critical Earth system science problems.
In order to involve more participants from the entire Earth science community, the scope of this Special Issue “Towards Practical Application of AI in Remote Sensing” will cover a variety of topics, including but not limited to:
- AI application in land cover/land use classification;
- AI application in remote sensing-based atmospheric/climate science;
- AI application in remote sensing-based Earth science;
- AI application in agricultural remote sensing;
- AI application in remote sensing-based biology;
- AI application in remote sensing-based polar science;
- AI application in remote sensing-based hydrology, oceanology (e.g., waterbody, snow, ice monitoring/prediction);
- AI application in remote sensing-based natural disaster management;
- AI application in remote sensing-related geospatial information science;
- Advanced geospatial cyberinfrastructure for powering practical AI application.
We kindly invite community members to submit your work using state-of-the-art AI techniques in solving critical science problems. All submitted manuscripts will go through a peer review process. We eagerly look forward to receiving your submissions.
All the best,
Dr. Ziheng Sun
Prof. Liping Di
Dr. Daniel Tong
Dr. Annie Burgess
If possible, please provide us with some related references in the field.
- Sun, Ziheng, Liping Di, Daniel Tong, and Annie Bryant Burgess. "Advanced Geospatial Cyberinfrastructure for Deep Learning Posters." In AGU Fall Meeting 2019. AGU, 2019.
- Sun, Ziheng, Daniel Tong. "Deep Learning for Improving Short-Term Atmospheric Modeling and Prediction Posters" In AGU Fall Meeting 2019. AGU, 2019.
- Sun, Ziheng, Liping Di, and Hui Fang. "Using long short-term memory recurrent neural network in land cover classification on Landsat and Cropland data layer time series." International journal of remote sensing 40, no. 2 (2019): 593-614.
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 papers will be 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 100 words) can be sent to the Editorial Office for announcement on this website.
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 2200 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.
- Aritificial Intelligence
- Geospatial cyberinfrastructure
- Neural network
- Earth system science