Special Issue "Forestry Applications of DART Model"
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Quantitative Methods and Remote Sensing".
Deadline for manuscript submissions: closed (31 December 2018)
Dr. Jean-Philippe Gastellu-Etchegorry
University of Toulouse, Center for the Study of the Biosphere from Space (CESBIO; CNRS, CNES, IRD, Paul Sabatier University), 18 Avenue Edouard Belin, 31401 Toulouse, France
Website | E-Mail
Interests: VIS / TIR radiative transfer modeling; optical remote sensing (imaging spectroradiometers, LiDAR) and radiative budget for forests, agriculture and cities.
Scientific studies and operational monitoring of forest ecosystems increasingly rely on satellite, airborne and in situ proximal remote sensing observations, including innovative technologies of imaging spectroscopy and laser scanning (LiDAR). These non-invasive techniques provide information about spatial and temporal distribution of key forest biochemical and biophysical variables, such as contents of chemical foliage compounds and canopy architecture, which in turn improves our understanding of complex forest ecological and physiological processes. Yet, the inherent structural complexity of forests requires to scale leaf level information up to canopy or even ecosystem and biome level, which complicates interpretation of remote sensing data. Physically-based radiative transfer models are efficient tools to bridge this gap, provided that they meet a number of requirements and offer functionalities assuring acceptable models’ accuracy and performance. One of these requirements is an appropriate three dimensional (3D) geometrical and spatial description of sun, sensor, landscape and atmosphere features, for simulating accurate remote sensing acquisition and 3D radiative budget. The Discrete Anisotropic Radiative Transfer (DART) model fulfills this requirement, which explains its increasing use in forestry applications.
This Special Issue of Forests will overview the state-of-the-art use of DART in forestry research and applications. It will demonstrate the importance of physical 3D radiative transfer models for interpretation of remote sensing data, and will help to identify current gaps and future requirements for these models. Prospective authors are encouraged to document and share details of their work with DART in forest environments.
Dr. Jean-Philippe Gastellu-Etchegorry
Dr. Zbynek Malenovsky
Dr. Jean-Baptiste Feret
Dr. Tiangang Yin
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. Forests 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.
- remote sensing
- radiative transfer modeling
- forest canopy architecture