Special Issue "Hyperspectral Remote Sensing of Forest and Trees outside Forests Ecosystems"
Deadline for manuscript submissions: closed (1 September 2018)
Forests are one of the major ecosystems of the earth, supporting a wide diversity of plants and animals and a significant number of services to humankind. At the same time, trees outside forests (TOF), including rural forestry, agroforestry and urban trees, also contribute to the global carbon cycle and climate regulation. They also represent a non-negligible component of the tree biomass in the national forest inventories, in addition to their important ecological and cultural values. Thus, monitoring current state of forest ecosystems and TOF with their changes is of prime importance for public policy and land management.
Hyperspectral remote sensing and imaging spectroscopy offers a unique way to characterize forests and TOF as the fine spectral detail allows to characterize the canopy chemistry and structure. Current airborne imagery and future hyperspectral missions such as EnMAP (Environmental Mapping and Analysis Program), PRISMA (Precursore IperSpettrale della Missione Applicativa), HYPXIM (HYPerspectral X Imagery) or HyspIRI (Hyperspectral Infrared Imager) open new opportunities for the analysis of these ecosystems at broad scale. Enhanced ability of hyperspectral data for the analysis of complex systems comes along with increased difficulties for data processing due to the very high dimensionality and size, requiring specific developments in order to fully exploit these images. Characterizing TOF in terms of structure and composition is also challenging because of their high diversity and heterogeneity, combined with limited spatial extent.
This Special Issue on “Hyperspectral Remote Sensing of Forest and Trees outside Forests Ecosystems” aims to publish original research works based on hyperspectral data to improve forest and TOF ecosystems monitoring. It includes (but is not limited to): taxonomic and functional biodiversity assessment, biochemical parameter estimation, mapping of ecosystem services, and multi-source data fusion (hyperspectral with LiDAR, time series).
Dr. Mathieu Fauvel
Dr. David Sheeren
Dr. Jean-Baptiste Feret
Dr. Ben Somers
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 monthly 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.
- Forest ecosystems
- Trees outside forests in urban and agro-ecosystems
- Essential biodiversity variables
- Ecosystem services
- Hyperspectral analysis
- Multitemporal hyperspectral processing
- Estimation of biochemical parameters
- Machine learning
- Data fusion
- Feature extraction
- Functional analysis
- Spectral unmixing