Towards UAV-based Forest Monitoring
This page lists the DOI metadata that was entered for this dataset. You can download the dataset.
The full metadata can be seen here.
Feature
Citation
Citation Options
Identification
| Title: | Main Title: Towards UAV-based Forest Monitoring |
| Description: | Abstract: In this paper, we describe two experiments regarding the monitoring of a test site in the Bavarian Forest National Park using unmanned aerial vehicles (UAVs) and we show their results. In the first experiment, we show that it is possible to relatively orient the RGB images acquired by a small UAV in power glider configuration without any flight stabilisation and without integrated navigation system (INS) initial values. This enables a 3D scene reconstruction, i.e., we obtain a point cloud showing distinctive 3D points. A much denser point cloud showing trees with branches can be derived from dense image matching. In the second experiment, we demonstrate how multispectral imagery can be interpreted on demand, i.e., without producing an ortho-mosaic, but using reliable features and a powerful classifier. With our algorithm, we follow up the aim to detect bark beetle attack in an early infection stage in Sitka spruce, Picea sitchensis, in the Bavarian Forest National Park. |
| Identifier: | 10.5880/TR32DB.KGA94.5 (DOI) |
Responsible Party
| Creators: | Martin Drauschke (Author), Jan Bartelsen (Author), Patrick Reidelstuerz (Author) |
| Contributors: | Juliane Bendig (Editor), Georg Bareth (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution) |
| Publisher: | Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten |
| Publication Year: | 2014 |
Topic
| Subjects: | Keywords: UAV, Remote Sensing, Environmental Monitoring, Airborne Measurements, Forest DDC: 550 Earth sciences |
File Details
| Filename: | Drauschke_et_al_2013_KGA94.pdf |
| Data Type: | Text - Book Section |
| Sizes: | 12 Pages 2793 Kilobytes |
| File Size: | 2.7 MB |
| Date: | Issued: 14.04.2014 |
| Mime Type: | application/pdf |
| Language: | English |
Constraints
| Download Permission: | Free |
| Licence: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Metadata Details
| Metadata Creator: | Constanze Curdt |
| Metadata Created: | 17.04.2014 |
| Metadata Last Updated: | 17.04.2014 |
| Subproject: | Z1 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
Metadata Export
| Metadata Schema: |
Dataset Statistics
| Page Visits: | 406 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 85 |
Dataset Activity
Feature
By downloading this dataset you accept the license terms of [Creative Commons] Attribution 4.0 International (CC BY 4.0) and TR32DB Data Protection Statement
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
