UAV Based Vegetation Parameter Retrieval
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 6681
Special Issue Editor
Special Issue Information
Dear Colleagues,
UAV sensors can provide data with unprecedented detail, both in terms of spatial and temporal resolution. On the mission planning side, we have new concepts for UAV data capturing, and progress has been made in data pre-processing using structure from motion algorithms. Scientists can now process 3D data types, together with RTK-level precision 2D spectral data. This has opened up new perspectives and has allowed the development of totally new fine-scale, change-oriented applications in vegetation monitoring and biophysical parametrization.
This Special Issue invites prospective authors to submit work that focus on UAV-based vegetation parameter retrieval. Focus could be on topics f.e. in the field of:
- Applications for individual deciduous and/or coniferous tree crown damage classification;
- Machine learning concepts for the classification of plant species, tree crown structure change, or deciduous tree crown species mapping;
- Structural classification of plant communities at all possible scales using pixel and/or OBIA-based approaches;
- Mapping of biodiversity in different biomes—2D and 3D descriptions based on point clouds and change detection based on point cloud datasets;
- Multitemporal application of high-resolution RTK georeferenced data—change detection (also climate change-induced degradation) in plant communities and forest ecosystems;
- Mapping of biomass using 3D point cloud descriptions and biomass volume estimation;
- Growth height monitoring with multi-temporal data for various applications;
Combinations of OBIA-based analysis and machine learning concepts with fused 3D/2D datasets.
Dr. Sören Hese
Guest Editor
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 submissions that pass pre-check are 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 2700 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.
