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Incourse Assignment during my 2 years studies

 Geo Application

 

Rectangular Buffer Tools

​

In this MSc. in Applied Geoinformatics  enabled opportunities for me to apply GIScience concepts in creating readily usable GIS tools. One of such usuable tools was the rectangular buffer script tool created for the ArcGIS 10 software. The tool was implemented using python scripting language, the tool was designed to accept user input including point features and the buffer distance and then compute the rectangular buffer around the point features.

 

Further substantial documentation was provided to help users of such tools. I have been able to develop small scripts to carry out minor recurring tasks in ArcGIS 10 including scripts to carry out spline interpolation on point features with many fields in the attribute table. ( Click on the image to view  for detail information )


 

Tracking of the hotspot destinations in Bhutan
 

In this class project, OpenLayers, javascript library was used to create an online web application to easily track the toursit centers/destinations in Bhutan.

In the project,Google Maps, Google hybrid, and Street Maps etc were used as a base layers whereas  top hotels, parks were added as over-layers.  The overlays were introduced as vector layers with clickable popups as can be seen in the left image.

 Web Services & Online Applcaiton

 

Location Based Services (Collective Sensing)

 

Geobrowsers Application
 
 Applications development for Geo-browsers were introduced to the concepts of web mapping. The first of which was the use of simple HTML tags & Javascript  to embed web maps onto websites and blog sites.The figure below shows an example of Google map as embedded on the blog. The basic tools from Google Maps API including zooming (in and out) and navigation were enabled
Application Development for Geo-Browsers

 

Location Based Services (Internet of things and Location)

 

Energy Consumption  Management/Monitoring Applicaation 
 
This slides was created for a concept on mobile  household energy consumption management mapping.  The assignment was carrried out as one of the requirement for the "Location Based Services Couse"(LBS).
Masters Thesis

 

Thesis : An Application of Object Based Image Analysis for Land Use/Land Cover Change analysis in Thmphu Valley, Bhutan
 ( Spatial Analysis & Remote Sensing)

ABSTRACT

 

Rapid land use and  land cover change is a major concern in global environmental change, and is specifically significant in rapidly developing regions of the world. With its economic development, population growth and urbanization, Thimphu, the only major city based  in the western region of Bhutan, has experienced  the dramatic land use and land cover  change over the past 21 years(Soil & Centre, 2011)

The objective of this study was to assess land use/land cover change in the landscape of the Thimphu valley area. In order to achieve the objective of this task, different sets of satellite imagery were analyzed. Specifically, Landsat ETM (1990), Landsat ETM+ (2001), Landsat ETM+ (2007), and RapidEye image  (2011) were used. Object oriented image analysis (OBIA) method was used to classify all the images. Accuracy assessments were carried for each of the four sets of analysis based on the reference land cover classes published (ICIMOD 2011, http://apps.geoportal.icimod.org)

 

Statistical analysis was used to tabulate the spatial areas of different land cover classes in the area of study. Five land cover classes  were successfully captured in all the years under analysis with overall accuracies ranging from  73.1%  to 79% and Kappa value of 62% to 73%. The classification result revealed that bare land (28.18%),  forests (70.22%), and snow (1.30 %) were dominant LULC types in revealed that in the year 1990, the dominant land cover classes were bare land, which covered approximately (28% )of the study area, forest which covered approximately (70%) of the study area, and snow which covered  approximately (1.3%) of the area of study.

 In  the year 2011, the bare land covered approximately  (47%) of the area of study. The results of change analysis showed that there was a  reduction in agriculture cover of 13.5%, 101.1%, and 47.3%, and 20.30% occurred between the first (1990–2001), second (2001–2007), and third (2007–2011, and fourth (1990-2011) study periods, respectively. Similarly, forests cover decreased by 7.6% during the first, 11.2% during the second, and 78.5% during the third and 82.5% during the fourth periods. Snow  also declined by 39.2, 27.9, and 75.8% (there was a slight increase in this year)  and 22.95 during the three periods, respectively. On the contrary, settlement  increased in all four periods by 16.21%, 124.6%, and 77.4%, and 362.96% respectively. Analysis of the 21-year change matrix revealed that about 32% of the land showed changes in the LULC. Further and detail  study  is suggested to investigate detailed drivers and consequences of changes.

 

Keywords: Object based image analysis; RapidEye;remote sensing; accuracy assessment; remote sensing; GIS; land use,land cover;Bhutan; Thimphu.

Winter 2011/12 Semester
 
The following courses were pursued in the winter semester of the academic year 2011/ 2012
 

  • GIS Project 

  • GIScience: Theories and Concepts  

  • Cartography and Geovisualization 

  • Ontologies and Semantics (Harmonizing Geospatial Information)  

  • Design of Geospatial Data Models  

  • Distributed GI Architectures  

  • Fundamentals and Concepts of Software Engineering 

  • Geosimulation 

  • Location Based Services  

  • Softwaredesign for Geoinformatics  

  •  Remote Sensing

  •  Spatial Analysis

  • ESRI VC (ArcGIS 3D Analyst, ArcGIS Spatial Abalyst, Cartographic Design)

  • Climate Change Monitoring by means of GIS and Remote Sensing

  • Project Seminar

  • Object based Image Analysis (OBIA)

Water Evaluation and Planning (WEAP) tool for water resource management
 

This presentation was made as a seminar presentation which was part of the "Analysis and Modelling" seminar course for the Msc Applied GeoInformatics course at the University of Salzburg

 

The full report for the student task can be found in the link below: Click here

Analysis and Modelling

 

Europe talks about money 
 
In this class project, a database of twitter data for the continental Europe was analysed with the intention of finding out whether the data could be used to extract all the money related talk and whether this information could then be used to make financial decisions. From 14 million tweet streams, slightly more than 200 thousand tweets referred to money in six different languages; English, German, French, Italian, Spanish, Dutch and Greek.  Seven countries in Europe were used for the study, these were United Kingdom (and Northern Ireland), France, Germany, Italy, Netherlands, Spain and Greece. Using GeoTools, Processing (Fry and Reas, 2010) and MapThing (Reades, 2012) libraries in Java, the money related tweets were dynamically mapped for the 29 days in February 2012. According to the study it was observed that most money related talk takes place in major cities with the most significant city being London.
 
Acknowledgements: I acknowledge the inputs from friends Bartosz Hawelka (PhD. student) & Francis Oloo (MSc. student).
 
Further details on the entire scope of the project can be found on 
 
http://lbswiners.blogspot.co.at/
 
References

 

  1. Fry, B., & Reas, C. (2010). Processing. Retrieved July 10, 2012, from Processing: http://processing.org/reference/frameRate_.html
  2. Reades, J. (2012). Processing Library MapThing. Retrieved July 10, 2012, from Processing Library MapThing: http://www.reades.com/MapThing/
 
Summer Semester 2012
 
In the first semester at the university, I selected courses, the list of which is outlined below.
 

GIScience : “Do Technology trends in Geo-informatics influence  scientific questions – or vice versa?”.

Introduction

 

The trend of technology has effected Geoinformaticis significantly. However growing  technology has resulted growing in Geoinformatics and the demands of new and more accrued  methods in Geoinformatic resulted to progress in technology. (Dadhwal and Raju 2010). For example, in the field of Remote Sensing, the availability of satellite imagery at very  high spatial resolution (sub meter) has led to a shift in the procedure of image analysis from the  classical pixel-based image analysis to Object Based Image Analysis.

 

And similarly with more research in the area of Object Based Image Analysis, new tools are  being created that can take advantage of the expert knowledge and harness the same into rule sets  which can then be used (and reused) to carry out image analysis. This is opposed to the to the  classical image analysis that was carried out in classical remote sensing software including  IDRISI, ERDAS and ENVI. However, Geoinformatics also has feedback with new methods for  image processing such as Object Based Image Analysis. It wasn’t limited only for remote sensing.

 

 


Technology: Geospatial technologies have found viable applications in virtually all  areas of human activity. In research, they are now essential to any discipline that deals with  phenomena on or near the surface of the Earth, from atmospheric science to criminology.
Research Question: "It is a question which should address a scientific problem that is  not yet solved and where there is confidence that general truths remain to be discovered”.Goodchild (2010).



The presentation that was made on this topic is embedded herein.

 

 

 






 

 

 

 

 

 

 

 

 

 

 

 



The full paper can be found in the link below: 


 

Cartography & Geovisualization

 

Landscape Visualisation and Wind Farm Assessment Analysing Visual Impacts with Google Earth
 

This project aims to build a 3D model of a current wind farm porposal in Google Earth and assess the likely visual impact from key points around the landscape.  The work focussess on the Kolowind wind farm proposal on Kolomansberg, in the state of Salzburg.  

The wind farm proposal features three turbines witha maximum height to blade tip of 149.8m. The visial impact of this development on the surrounding landscape is one of the key points made by gropus in opposition to the proposal and will be explored  in this project.

 

Acknowledgements: I acknowledge the inputs from friends Sebastian Cadus & Marius Hermann.


 

The full paper can be found in the link below:

 

Spatial Data Acquisition

 

 Orthorectification of Gaisberg of Salzburg, Austria
​The overall focus of this project was to cover the following  objectives.

  1. Identification of Ground Control Points (GCP) in the aerial pictures (overlapping areas) and to collect their coordinates from the field

  2. Orthorectification of aerial photos

  3. Creating digital surface model

  4. & Mosaic the images

    The comprehensive technical report of  Orthorectification can be found in the link below:

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