Special Issue "Drones for Topographic Mapping"
A special issue of Drones (ISSN 2504-446X).
Deadline for manuscript submissions: closed (31 December 2018).
Interests: UAS remote sensing; environmental modelling; 3D surface reconstruction; image processing; accuracy assessment
Interests: UAV remote sensing, agriculture, hyperspectral, chlorophyll fluorescence, structure from motion, canopy surface models
Interests: 3D remote sensing; remote sensing of forested environments; laser scanning; vegetation structure; wildfire
Special Issues and Collections in MDPI journals
Special Issue in Sensors: Smart Decision-Making: New Paths
Special Issue in Remote Sensing: Individual Tree Detection and Characterisation from UAV Data
Unmanned Aerial Systems (UASs), or Unmanned Aerial Vehicles (UAVs), or Remotely Piloted Aircraft (RPAs), or drones as they are now commonly referred to, are becoming increasingly popular as remote sensing tools. The ability to collect many and highly-overlapping images with great ease, along with advances in Structure from Motion (SfM) image processing software, have made it straight forward for a researcher to create orthophotos of a study site. An important (and often ignored) by-product of this process is the Digital Surface Model (DSM) that is also created during this process.
It was previously the case that complex and expensive systems, such as LiDAR, were required to create a high resolution 3D point clouds of a study area. Now a similar result can be achieved from highly overlapping photography processed with SfM software. In fact UAS based DSMs are typically of much higher resolution than traditional LiDAR datasets, however, there are important differences that must be considered.
This Special Issue of Drones seeks to find the latest research in the area of topographic mapping with drones. What can really be achieved with this type of data? What are the limitations? How accurate do the datasets need to be for the purpose of temporal comparison? Can these DSMs be used to create accurate hydrological models? What sort of real world questions can be address with such detailed topographic data? What flight and image parameters achieve the best topographic results? These are the types of questions that we hope to address with this Special Issue.
The publication of a set of quality papers in the area of drone based topographic modelling will explore the potential for drones to provide data at an unprecedented level of detail. This will provide a basis for future research in this area and pave the way for future studies.
Dr. Darren Turner
Dr. Luke Wallace
Dr. Juliane Bendig
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. Drones is an international peer-reviewed open access quarterly 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 1000 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.