Special Issue "Data Fusion for Remote Sensing of Fires and Floods in the Sentinels Era"
Deadline for manuscript submissions: 30 December 2021.
Interests: fuzzy logic and soft computing for the representation and management of imprecision and uncertainty of textual and geographic information; volunteered geographic information user-driven quality assessment in citizen science; crowdsourced information spatiotemporal analytics; information retrieval on the web; flexible query languages for information retrieval and geographic information systems; ill-defined environmental knowledge representation and management; multisource geographic information fusion and synthesis
Special Issues and Collections in MDPI journals
Interests: monitoring natural ecosystems with Earth observation data; mapping fires and burned areas; fire severity; integration of optical and SAR data for fire monitoring; time series analysis; processing and classification of multi-spectral UAV data; methods and protocols for validation thematic products
Special Issues and Collections in MDPI journals
This Special Issue aims to collect scientific contributions proposing multisource Data Fusion methods for the remotely sensed mapping, monitoring and assessment of fires and floods in the Sentinels Era.
Natural hazards such as fires and floods are phenomena with a large spatial dimension and impact. Mapping, monitoring and assessment can be carried out using satellite remote image platforms. Sentinel missions have brought a new era for operational monitoring, providing reliable and up-to-date information for ecosystem monitoring and managing.
Climate change poses further challenges for the exacerbation of the impacts and effects of extreme events on the ecosystems; in this framework, remotely sensed data can support environmental analyses and monitoring by making particular use of Earth Observation Sentinel missions.
Besides Sentinel, from a broader perspective, Earth Observation systems orbiting the Earth encompass several missions, providing data with distinct spectral, spatial and temporal granularities. Algorithms and methods that are able to fully exploit the complementarity of these systems are necessary to provide robust and operational semantic information that is easily interpretable by humans.
Moreover, the integration of remotely sensed data with data collected by ground/in situ measurements calls for new methods and applications of data fusion to enhance and improve traditional approaches to the remote sensing of natural resources.
This Special Issue aims to collect a broad set of scientific contributions proposing Data Fusion methods for remotely sensed mapping, monitoring and assessment of fires and floods by the use of multisource sensors and data, including both Sentinel and alternative remote-sensing data, in situ sensors and human sensors. Topics of interest include both theoretic and applicative themes:
Dr. Gloria Bordogna
Dr. Daniela Stroppiana
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 2400 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.
- Multisource and multi-scale image data fusion from Sentinel missions
- Multi-mission data fusion (Sentinel and not Sentinel missions)
- Multiscale, multispectral and multi-temporal remote-sensing data fusion
- Pixel-level, attribute-level, feature-level and object-level remote-sensing data fusion
- Quality enhancement by remote-sensing data fusion
- Uncertainty reduction by remote-sensing data fusion
- Concurrent and complementary remote-sensing data fusion
- Numeric and symbolic remote-sensing data fusion
- Soft fusion strategies in remote-sensing
- Remote-sensing data fusion for susceptibility, vulnerability, hazard and risk keyword.