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Special Issue "Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences"
Deadline for manuscript submissions: 31 October 2019.
Geoinformatics and Remote Sensing, Institute for Geography, Leipzig University, Johannisallee 19a, D-04103 Leipzig, Germany
Interests: Remote sensing (hyper- and multispectral, thermal); portable vis-NIR and FTIR spectroscopy; digital soil mapping; vegetation mapping (agriculture, forestry); multivariate data analysis; spatial modeling (SVAT, hydrology)
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1. Department of Geoinformatics and Remote Sensing, Leipzig University (LU), D-04103 Leipzig, Germany 2. Department of Agricultural Engineering, Szent István University, (SZIU), H-1118 Budapest, Hungary
Interests: hyperspectral remote sensing; field spectroscopy; mobile and snapshot imaging spectroscopy; precision farming; agriculture
Remarkable advances are currently underway in the field of close range, on-site and near-ground hyperspectral imaging. New sensor types with improved specifications and new platforms, such as unmanned aerial vehicles, have broadened the scope of potential applications in the environmental and earth sciences. In addition to traditional scanning devices, a rapidly growing variety of low-weight hyperspectral cameras with real-time imaging capabilities has been established commercially in recent years. These compact instruments are highly flexible in use as they allow us to capture the entire hyperspectral data cube in real-time (“snapshot”) without limitations to user mobility. Non-scanning cameras that cover the entire vis–NIR–SWIR domain (400–2500 nm), however, are still missing, whereas hyperspectral scanners can achieve full spectral range coverage routinely, either with a single instrument or in a configuration with two co-aligned instruments. In addition to field applications usually carried out with handheld instruments, or with sensors mounted on tripods or mobile platforms, hyperspectral imaging is also routinely used in laboratory setups, where it allows the non-destructive and time-efficient data acquisition even at microscopic scales under controlled illumination conditions and is therefore of interest to a wide range of disciplines.
The aim of this Special Issue is to focus on all applications of remote and proximal hyperspectral imaging at very fine (microscopic) to medium scales. This includes lab and out-of-lab studies, the latter ranging from on-ground to near-ground observations up to typical flight heights of UAVs (usually about 50 m). Researchers from all disciplines in the environmental and earth sciences using hyperspectral imaging in their research are welcome, including e.g. vegetation and soil science, water spectroscopy (inland, ocean and coastal waters), geology, mineralogy and sedimentology, agriculture, crop science, precision farming, biology and biodiversity, climate change, geoarchaeology, palaeoenvironmental sciences and related fields.
Contributions may cover new applications making specific use of image data, but also instrumental settings, sensor integration in multi-sensor approaches, spectral databases, processing workflows, product validation, statistical and computational methods for image analysis, data mining and machine learning methods, etc.
Prof. Dr. Michael Vohland
Dr. András Jung
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 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.
- Hyperspectral Scanning and Non-Scanning Cameras
- High Resolution Imaging Spectroscopy
- Machine Learning and Data Mining
- Hyperspectral Image Analysis
- Processing Workflows and Product Validation
- Field and Lab Applications
- Multi-Sensor Concepts