Next Article in Journal
A Self-Calibrating Runoff and Streamflow Remote Sensing Model for Ungauged Basins Using Open-Access Earth Observation Data
Next Article in Special Issue
A Hybrid Approach for Three-Dimensional Building Reconstruction in Indianapolis from LiDAR Data
Previous Article in Journal
DInSAR-Based Detection of Land Subsidence and Correlation with Groundwater Depletion in Konya Plain, Turkey
Previous Article in Special Issue
Deformation Monitoring and Analysis of the Geological Environment of Pudong International Airport with Persistent Scatterer SAR Interferometry
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Remote Sens. 2017, 9(1), 80; doi:10.3390/rs9010080

Is Spatial Resolution Critical in Urbanization Velocity Analysis? Investigations in the Pearl River Delta

1
Department of Geoinformatics—Z_GIS, University of Salzburg, Schillerstrasse 30, 5020 Salzburg, Austria
2
German Aerospace Center (DLR), German Remote Sensing Data Center, Oberpfaffenhofen, 82234 Weßling, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Qihao Weng, Guangxing Wang, George Xian, Hua Liu and Prasad S. Thenkabail
Received: 21 October 2016 / Revised: 2 January 2017 / Accepted: 9 January 2017 / Published: 17 January 2017
(This article belongs to the Special Issue Societal and Economic Benefits of Earth Observation Technologies)
View Full-Text   |   Download PDF [7594 KB, uploaded 17 January 2017]   |  

Abstract

Grid-based urbanization velocity analysis of remote sensing imagery is used to measure urban growth rates. However, it remains unclear how critical the spatial resolution of the imagery is to such grid-based approaches. This research therefore investigated how urbanization velocity estimates respond to different spatial resolutions, as determined by the grid sizes used. Landsat satellite images of the Pearl River Delta (PRD) in China from the years 2000, 2005, 2010 and 2015 were hierarchically aggregated using different grid sizes. Statistical analyses of urbanization velocity derived using different spatial resolutions (or grid sizes) were used to investigate the relationships between socio-economic indicators and the velocity of urbanization for 27 large cities in PRD. The results revealed that those cities with above-average urbanization velocities remain unaffected by the spatial resolution (or grid-size), and the relationships between urbanization velocities and socio-economic indicators are independent of spatial resolution (or grid sizes) used. Moreover, empirical variogram models, the local variance model, and the geographical variance model all indicated that coarse resolution version (480 m) of Landsat images based on aggregated pixel yielded more appropriate results than the original fine resolution version (30 m), when identifying the characteristics of spatial autocorrelation and spatial structure variability of urbanization patterns and processes. The results conclude that the most appropriate spatial resolution for investigations into urbanization velocities is not always the highest resolution. The resulting patterns of urbanization velocities at different spatial resolutions can be used as a basis for studying the spatial heterogeneity of other datasets with variable spatial resolutions, especially for evaluating the capability of a multi-resolution dataset in reflecting spatial structure and spatial autocorrelation features in an urban environment. View Full-Text
Keywords: urbanization velocity; spatial resolution; empirical variograms; local variance model; geographical variance model; spatial autocorrelation urbanization velocity; spatial resolution; empirical variograms; local variance model; geographical variance model; spatial autocorrelation
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Wei, C.; Blaschke, T.; Kazakopoulos, P.; Taubenböck, H.; Tiede, D. Is Spatial Resolution Critical in Urbanization Velocity Analysis? Investigations in the Pearl River Delta. Remote Sens. 2017, 9, 80.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top