Special Issue "Advances in Earth Observations Analytics: Leveraging Radar and Optical Together"
Deadline for manuscript submissions: 31 March 2019
Dr. Pedram Ghamisi
Recent advances in Earth Observation (EO) technologies have provided a unique opportunity for increasing detailed understanding of various features of the Earth system. In particular, radar and optical remote sensing systems are collecting multitemporal, multispectral, and multifrequency imagery and data with increasing spatial resolution. These exceptional data bring both opportunities and challenges for detection, identification, classification, and mapping of the Earth. Consequently, now is the time to leverage these advanced technologies to advance our capacity to monitor our dynamic planet and environment.
EO analytics, based on today’s open source technology, artificial intelligence and machine learning, and high-performance computing, can benefit from these opportunities and address the challenges. This technology can provide accurate, up to date, diversified geospatial information for various natural resource, and environmental and societal applications. These applications range from land use/land cover mapping (e.g., monitoring urbanization, croplands, desertification, deforestation and forest health, glaciers and sea ice) to detecting and monitoring of air pollution and oil spills, to geology mapping.
This Special Issue of Remote Sensing, entitled “Advances in Earth Observations Analytics: Leveraging Radar and Optical Together”, aims at presenting the state-of-the-art and original analytical methods for converging diverse advanced remote sensing data into information relevant to various earth sciences applications. Research papers that examine the latest developments in concepts, methods, techniques, and case study applications are welcomed. These analytical methods could be developed for individual or integrated remotely sensed data, e.g., optical (multispectral and hyperspectral), radar (polarimetry and interferometry), LiDAR (terrestrial and airborne), and thermal imagery acquired by satellite, airborne, and UAV sensors.
Dr. Saeid Homayouni
Dr. H. Peter White
Dr. Alireza Tabatabaeenejad
Dr. Pedram Ghamisi
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 bimonthly 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 1800 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.
- Machin Learning
- Artificial Intelligence
- Pattern recognition
- Remote Sensing
- Multispectral and Hyperspectral
- Synesthetic Aperture Radar
- Super Resolution Imagery
- Earth Observations Time Series
- Image/Data Quality Enhancement
- Object-Based Image Analysis
- Data Fusion
- Geo Big Data