Manfred Ehlers
Biographic Data
| ID | 7248145 |
|---|---|
| NAME | Manfred Ehlers |
| GIVEN NAMES | Manfred |
| FAMILY NAME | Ehlers |
| SIGNATURE | EHLERS M |
| AFFILIATIONS | Osnabrück University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1996 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Automatic detection of urban vacant land
With urban vacant land including brownfield land attracting increasing attention; spatial information on vacant land is crucial for city planners and decision-makers. Yet vacant land mapping faces the challenges of confusing terminology, reliance on inefficient registration systems, and the cost of data collection. Automatic site detection has been attempted using classification of remote sensing images. However, because the morphology of vacant …
Initial Investigations for Modeling Interior Utilities Within 3D Geo Context
Error Modelling for Integrated GIS
A persistent problem for GIS researchers is the quantitative assessment of the overall error, or uncertainty, of a GIS analysis that requires the combination of heterogeneous data sets. Rather than strive for a global solution, this chapter outlines a stepwise approach to a combined error analysis for the integration of diverse data sets in GIS. The presented method was developed for the integration of information derived from remotely sensed dat…
No prominent works on this page.
Error Modelling for Integrated GIS
A persistent problem for GIS researchers is the quantitative assessment of the overall error, or uncertainty, of a GIS analysis that requires the combination of heterogeneous data sets. Rather than strive for a global solution, this chapter outlines a stepwise approach to a combined error analysis for the integration of diverse data sets in GIS. The presented method was developed for the integration of information derived from remotely sensed dat…
Initial Investigations for Modeling Interior Utilities Within 3D Geo Context
Automatic detection of urban vacant land
With urban vacant land including brownfield land attracting increasing attention; spatial information on vacant land is crucial for city planners and decision-makers. Yet vacant land mapping faces the challenges of confusing terminology, reliance on inefficient registration systems, and the cost of data collection. Automatic site detection has been attempted using classification of remote sensing images. However, because the morphology of vacant …
Computer Science (3 works) · Cartography (2 works) · Data mining (2 works) · Engineering (2 works) · Geographic information system (2 works) · Geographic Information Systems Studies (2 works) · Geography (2 works) · Remote sensing (2 works) · 3D Modeling in Geospatial Applications (1 works) · AM/FM/GIS (1 works)