search query: @instructor Oksanen, Juha / total: 3
reference: 2 / 3
Author: | Erana Beitia, Xabier |
Title: | Updating of hydrographic features in topographic base information based on airborne laser scanning data |
Publication type: | Master's thesis |
Publication year: | 2013 |
Pages: | vi + 85 Language: eng |
Department/School: | Maankäyttötieteiden laitos |
Main subject: | Kartografia ja geoinformatiikka (Maa-123) |
Supervisor: | Virrantaus, Kirsi |
Instructor: | Oksanen, Juha |
OEVS: | Electronic archive copy is available via Aalto Thesis Database.
Instructions Reading digital theses in the closed network of the Aalto University Harald Herlin Learning CentreIn the closed network of Learning Centre you can read digital and digitized theses not available in the open network. The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/ You can read theses on the Learning Centre customer computers, which are available on all floors.
Logging on to the customer computers
Opening a thesis
Reading the thesis
Printing the thesis
|
Location: | P1 Ark Aalto 488 | Archive |
Keywords: | topographic database digital elevation model hydrological modelling geomorphometry water runoff channel extraction |
Abstract (eng): | Hydrographic features in topographic base information require regular updates because land surface conditions and product needs change over time. Traditionally similar procedures have been carried out by the photogrammetric techniques, which are considered of poor quality for channel extraction at a basin scale these days. Owing to the fact that correction of datasets is no longer a cost-effective process, re-producing best quality data often seems the safest option. Airborne laser scanning (ALS) has proven a major contributor to the revision of different datasets in recent times, including of hydrographic features. The focus of the thesis was on the watercourses (line) of the National Land Survey of Finland Topographic database (TDB), represented on the application scale 1:10 000. The thesis considers three different spatial data quality measures for estimating the error inserted by the system in ALS based DEMs, including a multiple buffer positional accuracy for linear features, root mean square error and channel sinuosity. These measures will serve as a comparison of different streams on a study in the surroundings of Nuuksio National Park (Espoo, Finland). The results show that the vector flow extraction from ALS-derived DEMs are considerably denser and closer to the observations in the field than those derived from the NLS 1:10 000 TDB watercourse (line). Similarly, the method under study offers significant support for conventional means of capturing highly detailed hydrographic features from all types of topographies for the update of maps. |
ED: | 2013-10-14 |
INSSI record number: 47301
+ add basket
INSSI