Special Issue "Optimizing the Usages of High-Spatial Resolution Remote Sensing Data: from Precision Resources Inventory to Operational Forestry"
Deadline for manuscript submissions: 30 July 2021.
Interests: remote sensing; laser scanning; precision forestry; forest management; forest health
(2) Dept. of Remote Sensing, University of Würzburg, Würzburg
Interests: ecosystem monitoring; vegetation health; time series remote sensing; LiDAR
Special Issues and Collections in MDPI journals
Special Issue in Remote Sensing: Remote sensing based Forest Inventories from Landscape to Global Scale
Special Issue in Forests: 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function
Special Issue in Remote Sensing: Remote Sensing for Wetland Inventory, Mapping and Change Analysis
High-spatial resolution remote sensing embraces a broad range of data, including airborne, mobile, and terrestrial laser scanning, aerial imagery, unmanned aerial vehicles (UAV), airborne synthetic aperture radar (SAR), and aerial/terrestrial spectroscopy, which, in turn, entail development and adoption of appropriate methodological approaches. All in all, the bundle of those data and methods, together with relevant sampling designs and field surveys for small-scale domains, form the framework for so-called “precision forestry”, with the main objective to maximize information extraction and analysis, mostly based on individual objects in forest ecosystems, for research, monitoring, and management purposes. Nevertheless, the majority of practical applications and monitoring programs entail medium- to large-scale information, mostly on levels of sample plot, parcel or other management units on regular repetition rates. In the context of remote sensing, this would mean shifting, but not necessarily downgrading, from smaller, but high-precision domain (single objects and individuals) to more generalized (pixel or segment) spatial domains while not notably compensating information accuracy. The main questions around this include those concerning:
- The spatial extrapolation methods, sampling design, and error propagation studies;
- Multidimensional, multiscale, multilevel, and multitemporal RS, especially LIDAR and UAV data analysis for forest management and monitoring purposes;
- Implementation of RS, especially LIDAR and UAV-based products in precision forestry.
In this Special Issue of Remote Sensing, we will pursue these and other related issues by hosting contributions presenting state-of-the-art data and methods with a special focus on the applications of remotely-sensed methods in precision and operational forestry. Thus, we invite all colleagues from different parts of the world to contribute to this Special Issue by submitting high-quality relevant works. We particularly welcome submissions in which uncommon methodical approaches have been developed and results were implemented in practical forest management at various scales. This call is also possibly open to communications, meta-analyses, and reviews, provided they are relevant and the detailed structure in which transfer from RS data analysis to operational precision forestry is addressed.
PD Dr. Hooman Latifi
Prof. Krzysztof Stereńczak
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 2200 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.
- Precision forestry
- Operational forestry
- High-spatial resolution data
- Multitemporal data
- Sampling strategy
- Error prediction and propagation