Special Issue "Advances in Remote Sensors for Earth Observation and Modeling of Earth Processes"
Deadline for manuscript submissions: closed (30 September 2020).
Interests: remote sensing; watershed modeling; climate change impact; sediment dynamics; river basin management
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Interests: thermal remote sensing; land surface temperature/emissivity retrieval; temperature trends over tropical forests
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Interests: calibration; climate change; hyperspectral infrared remote sensing; Fourier transform spectrometers; infrared land surface emissivity
Decades of remote sensing technology has transformed the frontiers of our understanding of the universe. We now better observe, map, and model earth processes to understand not only the dynamics of these processes but also the earth–atmosphere interactions. Natural resources mapping, simulation of water, energy and carbon fluxes, groundwater dynamics, soil moisture and precipitation prediction, natural hazards modeling, and many other areas of applications have been easier because of the available remote sensing tools. The technology of remote sensing has benefited from the advancement of new engineering hardware, sensor technologies, and the invention of superfast computers. We can now acquire images that have much better spatiotemporal resolutions, use new electromagnetic wave bands, processes, and interpret images faster and more efficiently, and have new areas of applications.
In this invitation-only Special Issue, we would like to publish manuscripts of high quality both on scientific and review contributions that demonstrate the advancement of remote sensing technology and successfully present new application areas. Areas of interest include evaluating new sensors, new applications, improving the spatial resolution of existing imageries through downscaling techniques, parametrization, model enhancement using the addition of remotely sensed data, and similar areas. Topics of interest also include hydrological modeling, atmospheric research, natural hazards mapping and modeling, value-added data generation, and related topics.
Prof. Dr. Assefa M. Melesse
Dr. Juan-Carlos Jimenez-Munoz
Dr. Robert Knuteson
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. Sensors 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.
- multispectral, hyperspectral, and active radar and LiDAR sensors
- space-borne, air-borne, and UAV platforms
- proximal sensing and robotic manned and unmanned systems
- accuracy of sensor measurements and parameters estimates
- data processing techniques and related big data problem and solution
- decision support systems and making (AI, machine learning)
- sensor fusion
- fusing model
- downscaling model
- upscaling techniques
- water resources
- extreme events
- land cover dynamics
- ecosystem functioning