- Remote Sensing using Unmaned Aerial Systems
- Multispectral Image Analysis
- Invasive Plant Species
- Object-based Image Analysis (OBIA)
- Brasilian Ecosystems
Unmanned Aerial Systems in Landscape Ecology – New Remote Sensing Capabilities and Perspectives for Scalable Environmental Applications and Analyses
Research articles (journals)
- . . ‘Are recently deglaciated areas at both poles colonised by the same bacteria?’ FEMS Microbiology Letters 2021, No. fnab011. doi: 10.1093/femsle/fnab011.
- . . ‘New tools for old problems — comparing drone- and field-based assessments of a problematic plant species.’ Environmental Monitoring and Assessment 193, No. 2: 90. doi: 10.1007/s10661-021-08852-2.
- . . ‘Using drone imagery to upscale estimates of water capacity in tank bromeliads on steep neotropical inselbergs.’ Austral Ecology n/a, No. n/a. doi: 10.1111/aec.13113.
- . . ‘Cryptogamic cover determines soil attributes and functioning in polar terrestrial ecosystems.’ Science of the Total Environment 2020: 143169. doi: 10.1016/j.scitotenv.2020.143169.
- . . ‘Acacia invasion is facilitated by landscape permeability: the role of habitat degradation and road networks.’ Applied Vegetation Science n/a, No. n/a. doi: 10.1111/avsc.12520.
- . . ‘Recognize the Little Ones: UAS-Based In-Situ Fluorescent Tracer Detection.’ Drones 3, No. 1. doi: 10.3390/drones3010020.
- . . ‘Robinia pseudoacacia L. in Short Rotation Coppice: Seed and Stump Shoot Reproduction as well as UAS-based Spreading Analysis.’ Forests 10, No. 3. doi: 10.3390/f10030235.
- . . ‘Open-Source Processing and Analysis of Aerial Imagery Acquired with a Low-Cost Unmanned Aerial System to Support Invasive Plant Management.’ Frontiers in Environmental Science 5: 44. doi: 10.3389/fenvs.2017.00044.
- . . ‘High-Resolution Classification of South Patagonian Peat Bog Microforms Reveals Potential Gaps in Up-Scaled CH4 Fluxes by use of Unmanned Aerial System (UAS) and CIR Imagery.’ Remote Sensing 8, No. 3: 173. doi: 10.3390/rs8030173.
- . . ‘Analysis of Unmanned Aerial System-Based CIR Images in Forestry—A New Perspective to Monitor Pest Infestation Levels.’ Forests 6, No. 3: 594––612. doi: 10.3390/f6030594.
- ‘Field Spectroscopy in the VNIR-SWIR Region to Discriminate between Mediterranean Native Plants and Exotic-Invasive Shrubs Based on Leaf Tannin Content.’ Remote Sensing Journal 2015, No. 7: 1225–1241. doi: 10.3390/rs70201225. .
- . . ‘Making the invisible visible: using UAS-based high-resolution color-infrared imagery to identify buried medieval monastery walls.’ Journal of Unmanned Vehicle Systems 3, No. 2: 58–67. doi: 10.1139/juvs-2014-0017.
Abstracts as ePaper (Conferences)
- . ‘Development of a classification model based on field spectral and biochemical leaf properties to analyse Acacia longifolia invasion via remote sensing.’ contributed to the Neobiota, Pontevedra, Spanien, .
- . ‘INSPECTED.NET:INvasive SPecies Evaluation, ConTrol & EDucation.NETwork.’ contributed to the Neobiota, Pontevedra, Spanien, .
- . ‘Classification Model Development: Using Remote Sensing to Monitor the Spread of Invasive Plant Species Acacia longifolia.’ contributed to the AK Fernerkundung, Bochum, Deutschland, .
- . ‘Application of high resolution hyperspectral and LiDAR remote sensing to analyze the invasion of an exotic Acacia tree in Portuguese dune ecosystems.’ contributed to the MEDECOS, Los Angeles, USA, .
- . ‘Detecting and analyzing the spread of exotic Acacia longifolia in West-Mediterranean biodiverse costal dunes with hyperspectral images and LiDAR.’ contributed to the IALE-D, Berlin, Deutschland, .
- . . Grenzüberschreitender Biotopverbund Naturschutz und Biologische Vielfalt, No. 146: BfN, .
GEO1Copter - UAS Projectgroup
Unmanned Aerial Systems (UAS) as highly flexible and low-cost sensor platform provide new opportunities of data acquisition for various environmental and geoscientific purposes (e.g. environmental monitoring, forestry, geobase data etc.). Their spatial and temporal versatility due to small size, low weight and little operating costs also makes these aerial platforms an attractive tool for monitoring and observation purposes.
In 2009 the project group was founded in the Institute for Geoinformatics (University of Münster) by Dr. Torsten Prinz and several enthusiastic students. Over the past years the focus has been set on applications in the field of ecology and geoinformation science. Therefore, the Institute of Landscape Ecology is strongly involved in the ongoing teaching and research activities. The group is using modern multirotor and fixed wing platforms equipped with multiple sensors to collect accurate spatial data. The current areas of work and research topics of the group cover real-time data processing, related geoservices, multispectral aerial photography and high-precision positioning.