eprintid: 3824
rev_number: 5
eprint_status: archive
userid: 1
dir: disk0/00/00/38/24
datestamp: 2022-05-19 08:52:23
lastmod: 2022-05-19 08:52:23
status_changed: 2022-05-19 08:52:23
type: thesis
metadata_visibility: show
sword_depositor: 1
creators_name: Roodbergen, Rick
creators_id: S3698157
creators_email: rickroodbergen@hotmail.com
title: Urban Green from Above. A remote sensing based housing price analysis
ispublished: unpub
full_text_status: public
abstract: This thesis researches the relationship between urban green space and housing prices through remote sensing of high resolution satellite imagery. Remote sensing is perceived as an underutilized method in the research of urban green space and is therefore explored in this thesis. This thesis not only aims to employ a new tool to an existing problem. Due to the all-encompassing nature of remote sensing, new insights could be gained through these innovative research methods. 
Remote sensing techniques on high-resolution satellite imagery are used in order to measure the amount of green space in the municipality of Groningen, the amount of green space is measured through the calculation of the NDVI value per pixel. Subsequently, these calculated pixels were re-classified into two groups: high-structured vegetation and low-structured vegetation. After the classification, a multiple linear regression model was performed in order to find a relationship between measured urban green spaces and mean housing prices per 100 meter squares. 
A positive linear relation between high-structured vegetation and housing prices was found, while no relation was found between housing prices and low-structured vegetation. 
This proven relationship shows that urban green space like trees and parks hold a positive influence over housing prices. Meaning the higher the amount of high-structured vegetation in an area, the higher the housing prices in said area.
Minor limitations to remote sensing are observed in the research however, NDVI remote sensing has shown to be a promising alternative to measuring urban green space as opposed to the calculation of the distance of a house from a public park.
date: 2022
pages: 19
thesis_type: bachelor
degree_programme: SGP
tutors_name: Daams, M.N.
tutors_organization: Fac. Ruimtelijke wetenschappen, Basiseenheid Economische Geografie
tutors_email: M.N.Daams@rug.nl
security: validuser
keywords_local: Remote Sensing
keywords_local: NDVI
keywords_local: GIS
keywords_local: Urban Green Space
language_iso: en
agreed_repository: yes
date_issued: 2022-05-18
citation:   Roodbergen, Rick  (2022) Urban Green from Above. A remote sensing based housing price analysis.  Bachelor thesis.   
document_url: https://frw.studenttheses.ub.rug.nl/3824/1/Urban%20Green%20From%20Above.pdf