Special Issue "AI-Driven Satellite Data for Global Environment Monitoring"
Deadline for manuscript submissions: 31 December 2023 | Viewed by 5738
Interests: artificial intelligence; semantic segmentation; remote sensing of disaster; applications in agriculture, forest, hydrology, and meteorology
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The acceleration of environmental changes on Earth may significantly affect the global atmosphere, oceans, agriculture, forests, and water. Indeed, the Earth belongs to our descendants, not us, so we must deliver a safe and clean Earth to them. Satellite remote-sensing data is the essential material for spatially and temporally continuous observation of the Earth. Moreover, recent technological developments ensure higher resolution and broader coverage to monitor disasters, meteorology, air quality, vegetation, hydrology, and polar regions. AI is a powerful tool for creating high-quality satellite images and for observation of the Earth’s environmental phenomena using advanced computing power. In addition to the classical algorithms, various state-of-the-art models can help improve AI-driven satellite data for global environmental monitoring. We invite colleagues' insights and contributions to various research areas involving remote sensing combined with an AI approach. Papers can be focused on, but are not limited to, the following:
- Deep-learning-based object detection from satellite images for environmental monitoring of Earth;
- Semantic segmentation of satellite images for environmental monitoring of Earth;
- Super-resolution techniques for environmental monitoring of Earth;
- AI-based spatiotemporal image fusion for environmental monitoring of Earth;
- AI-based change detection for environmental monitoring of Earth;
- Satellite-based disaster management using AI models;
- AI-based retrieval algorithm for the satellite products in atmosphere, meteorology, ocean, and air quality;
- AI-based retrieval algorithm for the satellite products in agriculture, forests, hydrology, and ecology;
- AI-driven novel methods for Earth’s environmental monitoring with satellite images.
Prof. Dr. Yang-Won Lee
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 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 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.