Special Issue "Hyperspectral Remote Sensing of Vegetation Functions"
Deadline for manuscript submissions: 31 January 2022.
Interests: hyperspectral RTM; ecophysiology; gas exchange; ecological modelling; remote sensing applications
Hyperspectral information remotely sensed from different platforms at multiple spatial, temporal, and spectral scales offers more unprecedented data sources for revealing the properties of vegetation than ever before, opening the door for not only retrieving vegetation’s biophysical (structural), biochemical, and physiological traits, but also the possibility of tracing the dynamics of functions that are impossible with previous remote sensing activities. However, lacking the profound mechanical understanding of involved physical and physiological processes of hyperspectral data, which are scale-dependent, prevents their proper applications and needs to be explicitly addressed. This Special Issue is, thus, calling for state-of-the-art studies on processing and analyzing hyperspectral information acquired from different platforms (leaf spectroscopy, tower-based proximal remote sensing, UAV mounts, airplane/satellite-borne devices), with the target fof clarifying the underlying physical and physiological mechanisms and for accurately tracking the dynamics of vegetation functions. Special focus will be placed on, but is not limited to:
- Novel techniques (statistical/RTM/machine-learning or deep-learning) for retrieving and tracing vegetation functions (especially ecophysiological processes) from hyperspectral data.
- Novel research on clarifying the physical and physiological bases of hyperspectral information using field monitoring, laboratory-controlled experiments, or RTM simulation datasets.
- Insightful research on upscaling/downscaling mechanisms of the relationships between hyperspectral information and vegetation functions from leaf to canopy and plot levels.
Prof. Dr. Quan Wang
Dr. Jia Jin
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.
- leaf spectroscopy
- hyperspectral imaging
- physical and physiological mechanisms
- ecological processes