Special Issue "Remote Sensing of Anthropic Impact on the Environment"
Deadline for manuscript submissions: 30 September 2021.
Interests: remote sensing; SAR; Earth observation; electromagnetic scattering, computer vision; machine learning
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Special Issue in Remote Sensing: Earth Observation Technologies for Monitoring of Water Environments
Interests: remote sensing applications; multi-sensor data fusion; multi-platform data fusion; image processing; computer vision; machine learning; geo-processing; UAV data processing
Climate changes and the rapid increase of the population are nowadays the most important threats for the Earth ecosystem. The increasing demand of goods and resources, especially from developing countries, is putting under pressure the biosphere and the hydrosphere within environments already fragile. In most of the cases, classic in situ monitoring is not effective as it is not able to provide the synoptic picture necessary to public and private decision makers for large-scale actions either for planning activities or for rapid response in emergency situations.
In this context, remote sensing technologies have gradually been an indispensable approach to environmental monitoring. The availability of several sensors imaging the Earth surface at different scales and wavelength is significantly boosting the development of new applications and methodologies, which can benefit of the possibility given by the synergic exploitation of multi-source data.
The objective of this Special Issue is to highlight the most recent advances in remote sensing for the monitoring of the impacts of human activities on the natural landscape. Contributions are expected on (but not limited to) the following topics:
- Monitoring of natural resources, like forests and water, and temporal tracking of their changes;
- Monitoring of urban agglomerates and of the effects of urbanization on the natural landscape;
- Detection and recognition of environmental issues of anthropic origin.
The proposed solutions are expected to be based on:
- Multi-temporal and/or multi-source satellite image processing;
- Remote sensing data assimilation within mathematical problem-specific models;
- Emerging proximal sensing technologies, like remotely piloted aerial systems.
Papers must be original contributions, not previously published or submitted elsewhere. Submissions based on previously published or submitted conference papers may be considered provided that they are significantly improved and extended.
We look forward to your participation in this Special Issue.
Dr. Donato Amitrano
Dr. Luca Cicala
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.
- remote sensing
- multi-sensor data fusion
- natural resources
- urban areas
- UAV remote sensing
- environmental monitoring
- anthropic impact