Share This Author
Analysis of Unmanned Aerial System-Based CIR Images in Forestry—A New Perspective to Monitor Pest Infestation Levels
The detection of pest infestation is an important aspect of forest management. In the case of the oak splendour beetle (Agrilus biguttatus) infestation, the affected oaks (Quercus sp.) show high…
Unmanned aerial vehicles as innovative remote sensing platforms for high‐resolution infrared imagery to support restoration monitoring in cut‐over bogs
Question Can UAV-based NIR remote sensing support restoration monitoring of cut-over bogs by providing valid information on species distribution and surface structure? Location Restored polders…
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
The results show that a simple classification with only few classes potentially leads to pronounced bias in total ecosystem CH4 fluxes when plot-scale fluxes are up-scaled, and this bias can be pronounced in both species and microform level.
HPMA based amphiphilic copolymers mediate central nervous effects of domperidone.
In this study we give evidence that domperidone encapsulated into amphiphilic p(HPMA)-co-p(laurylmethacrylate) (LMA) copolymer aggregates is able to cross the blood-brain barrier, since it affected…
Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers
Geographic Object-Based Image Analysis (GEOBIA) mostly uses proprietary software,but the interest in Free and Open-Source Software (FOSS) for GEOBIA is growing. This interest stems not only from cost…
GMES4Mining: GMES-based Geoservices for Mining to Support Prospection and Exploration and the Integrated Monitoring for Environmental Protection and Operational Security
- V. G. García Millán, A. Müterthies, Christian Knoth
- GeographyBHM Berg- und Hüttenmännische Monatshefte
- 1 February 2014
The GMES4Mining R&D project started in summer 2011 with the purpose of supporting management in all phases of a mining cycle. In most states of the European Union, the mines are in phases of…
Detecting dwelling destruction in Darfur through object-based change analysis of very high-resolution imagery
Object-based change analysis for the automatic and selective detection of destructed dwellings in bi-temporal images is explored in test areas in Darfur and shows that the automatic calculation of local reference values and thresholds for the change detection can increase robustness when the proposed method is applied on study areas with different image properties.
Combining automatic and manual image analysis in a web-mapping application for collaborative conflict damage assessment
Enabling reproducible OBIA with open-source software in docker containers
The presented solution advances OBIA in the following aspects: higher transparency of methodology; easier reuse and adaption of workflows; better transferability between operating systems; complete description of software environment; and easy adoption of O BIA workflows by image analysis experts and non-experts.