Positional uncertainty analysis using data uncertainy engine a case study on agricultural land parcels

Download

index.pdf

Date

2009

Author

Urgancı, İlksen

Metadata

Show full item record

Item Usage Stats

215
views

131
downloads

Most of spatial data extraction and updating procedures require digitization of geographical entities from satellite imagery. During digitization, errors are introduced by factors like instrument deficiencies or user errors. In this study positional uncertainty of geographical objects, digitized from high resolution Quickbird satellite imagery, is assessed using Data Uncertainty Engine (DUE). It is a software tool for assessing uncertainties in environmental data; and generating realisations of uncertain data for use in uncertainty propagation analyses. A case study area in Kocaeli, Turkey that mostly includes agricultural land parcels is selected in order to evaluate positional uncertainty and obtain uncertainty boundaries for manually digitized fields. Geostatistical evaluation of discrepancy between reference data and digitized polygons are undertaken to analyse auto and cross correlation structures of errors. This process is utilized in order to estimate error model parameters which are employed in defining an uncertainty model within DUE. Error model parameters obtained from training data, are used to generate simulations for test data. Realisations of data derived via Monte Carlo Simulation using DUE, are evaluated to generate uncertainty boundaries for each object guiding user for further analyses with pre-defined information related to the accuracy of spatial entities. It is also aimed to assess area uncertainties affected by the position of spatial entities. For all different correlation structures and object models, weighted average positional error for this study is between 2.66 to 2.91 meters. At the end of uncertainty analysis, deformable object model produced the smallest uncertainty bandwidth by modelling cross correlation. .

Subject Keywords

Geographical information technologies., Geographic information system.

URI

http://etd.lib.metu.edu.tr/upload/3/12611409/index.pdf
https://hdl.handle.net/11511/19393

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Context based interoperability to support infrastructure management in municipalities Tufan, Emrah; Akyürek, Sevda Zuhal; Oğuztüzün, Mehmet Halit S.; Department of Geodetic and Geographical Information Technologies (2010) Interoperability between Geographic Information System (GIS) of different infrastructure companies is still a problem to be handled. Infrastructure companies deal with many operations as a part of their daily routine such as a regular maintenance, or sometimes they deal with unexpected situations such as a malfunction due to natural event, like a flood or an earthquake. These situations may affect all companies and affected infrastructure companies response to these effects. Responses may result in conseque...
Road extraction from high-resolution satellite images Özkaya, Meral; Temizel, Alptekin; Department of Information Systems (2009) Roads are significant objects of an infrastructure and the extraction of roads from aerial and satellite images are important for different applications such as automated map generation and change detection. Roads are also important to detect other structures such as buildings and urban areas. In this thesis, the road extraction approach is based on Active Contour Models for 1- meter resolution gray level images. Active Contour Models contains Snake Approach. During applications, the road structure was sepa...
Priority based multi-constrained quality of service routing in military applications Araz, Bora; Koçyiğit, Altan; Department of Information Systems (2005) This thesis proposes a new algorithm for multi-constrained Quality of Service Optimal Path Routing in the context of military applications. The objective of our routing algorithm is to manage network traffic according to quality of service requirements of connection requests using military metrics. The algorithm is mainly based on communication priority. The QoS metrics such as bandwidth, delay and packet loss ratio are considered as basic metrics on path finding. If there is no suitable path for the reques...
Geo-spatial object detection using local descriptors Aytekin, Çağlar; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2011) There is an increasing trend towards object detection from aerial and satellite images. Most of the widely used object detection algorithms are based on local features. In such an approach, first, the local features are detected and described in an image, then a representation of the images are formed using these local features for supervised learning and these representations are used during classification . In this thesis, Harris and SIFT algorithms are used as local feature detector and SIFT approach is ...
Weighted multi-visibility analysis on directional paths Şeker, Çağıl; Toprak, Vedat; Department of Geodetic and Geographical Information Technologies (2010) Visibility analysis is an important GIS tool that is used in a diverse array of disciplines ranging from earth sciences to telecommunications. Multi-visibility, as a cumulative type of visibility, combines many point-to-point results into a multi-value array. Points, lines, or areas can be used as sources or targets; and the combined values can be calculated in both ways. Through multi-visibility, a special 2.5D visibility value surface can be constructed over a digital elevation model. The effectiveness of...

Citation Formats

İ. Urgancı, “Positional uncertainty analysis using data uncertainy engine a case study on agricultural land parcels,” M.S. - Master of Science, Middle East Technical University, 2009.