Special Issue "Remote sensing based Forest Inventories from Landscape to Global Scale"
Deadline for manuscript submissions: closed (25 January 2019).
Assoc. Prof. Dr. Marco Heurich
PD Dr. Hooman Latifi
1. Dept of Photogrammerty and Remote Sensing, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, No. 1346 Valiasr Str., Mirdamad Crossing, Postal Code 19967-15433 Tehran, Iran
2. Dept. of Remote Sensing, Institute of Geography and Geology, University of Wuerzburg, Oswald-Kuelpe-Weg 86, 97074 Wuerzburg, Germany
Website 1 | Website 2 | E-Mail
Interests: remote sensing-assisted monitoring of forest structure, phenology and health; small-scale forest inventory; spatial statistics; modelling and optimization; LiDAR; UAV and their point cloud processing for forest inventory
Forest ecosystems are vital on various scales for humanity. Forests provide not only merchantable timber, but also essential ecosystem functions, such as drinking water supply, regulation of climate, conservation of biodiversity, and recreation. Yet forest ecosystems are under increasing pressure due to expanding human populations, illegal harvesting, and overexploitation, which together lead to an unprecedented loss of forests worldwide.
In the past, forests were inventoried manually in the field. Nowadays, forest inventories on the landscape scale can be obtained with three-dimensional and mostly high-resolution remote-sensing techniques, such as LiDAR and other aerial surveys. These techniques are superior over traditional forest inventories in terms of quality, costs, and level of spatial and temporal details. Indeed, the enormous costs and logistics of traditional field-based inventories prohibit inventories on spatial scales larger than the landscape level. Such inventories are feasible only with the more cost-effective remote-sensing techniques, automated processing workflows, and high performance computing.
The freely available remote-sensing data from the Copernicus, the European Union’s Earth Observation Programme (Sentinel satellites 1–5), along with increasing accessibility to data from other missions, e.g., Landsat and Spot data, the availability of upcoming multiple airborne devices in combination with new sensors, such as the EnMAP hyperspectral satellite, and the laser-based instrument GEDI have led to a radical change in the direction in which inventories of forest ecosystems will be obtained in the near future.
In light of the issues pointed out above, the purpose of this Special Issue of Remote Sensing is to present a number of state-of-the-art studies on the use of remote-sensing data and methods for monitoring forest ecosystems on spatial scales of the landscape and beyond. We, the guest editors of this issue, would like to invite colleagues to submit articles about their recent research on any of the following topics:
- Application of remote-sensing techniques for monitoring forest attributes at the forest enterprise level
- Application of remote-sensing techniques for monitoring forest attributes for national forest inventories
- Approaches for monitoring forests using remote-sensing techniques on larger spatial levels, such as sub-continental, continental, and global scales
- Methods for assessment of the 3-D structure of forests on the above-mentioned spatial levels
- Monitoring structural and functional forest biodiversity indicators
- Monitoring changes in forest ecosystems using multi-temporal time series of remote-sensing data
- Comparison and evaluation of different remote-sensing sensors and methods for forest inventories on the above-mentioned scales
- Large scale in-situ data requirement and sampling design for monitoring forest ecosystems with remote-sensing techniques
- Review articles covering one or more of these topics
Assoc. Prof. Dr. Marco Heurich
Assoc. Prof. Dr. Hooman Latifi
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.
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