Next Article in Journal
Experimental Study on the Performance of an Innovative Tide-Induced Device for Artificial Downwelling
Previous Article in Journal
Status of Farmland Abandonment and Its Determinants in the Transboundary Gandaki River Basin
Open AccessArticle

A New Approach to High-Resolution Urban Land Use Classification Using Open Access Software and True Color Satellite Images

1
Technische Universität Darmstadt, Institute of Applied Geosciences, Section of Ecological Engineering, SEE-URBAN-WATER Research Group, Schnittspahnstraße 9, 64287 Darmstadt, Germany
2
National Institute of Technology Tiruchirappalli (NIT Trichy), Department of Civil Engineering, Tanjore Main Road, Tiruchirappalli 620015, Tamil Nadu, India
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(19), 5266; https://doi.org/10.3390/su11195266
Received: 2 September 2019 / Revised: 17 September 2019 / Accepted: 19 September 2019 / Published: 25 September 2019
(This article belongs to the Section Sustainable Urban and Rural Development)
Urbanization nowadays results in the most dynamic and drastic changes in land use/land cover, with a significant impact on the environment. A detailed analysis and assessment of this process is necessary to take informed actions to reduce its impact on the environment and human well-being. In most parts of the world, detailed information on the composition, structure, extent, and temporal changes of urban areas is lacking. The purpose of this study is to present a methodology to produce high-resolution land use/land cover maps by the use of free software and satellite imagery. These maps can help to understand dynamic urbanizations processes to plan, design, and coordinate sustainable urban development plans, especially in areas with limited resources and advancing environmental degradation. A series of high-resolution true color images provided by Google Earth Pro were used to do initial classifications with the Semi-Automatic Classification Plug-in in QGIS. Afterwards, a new methodology to improve the classification by the elimination of shadows and clouds, and a reduction of misclassifications through superimposition was applied. The classification was carried out for three urban areas in León, Nicaragua, with different degrees of urbanization for the years 2009, 2015, and 2018. Finally, the accuracy of the classification was analyzed using randomly defined validation polygons. The results are three sets of high-resolution land use/land cover maps of the initial and the improved classification, showing the detailed structures and temporal dynamics of urbanization. The average accuracy of classification reaches 74%, but up to 85% for the best classification. The results clearly identify advancing urbanization, the loss of vegetation and riparian zones, and threats to urban ecosystems. In general, the level of detail and simplicity of our methodology is a valuable tool to support sustainable urban management, although its application is not limited to these areas and can also be employed to track changes over time, providing therefore, relevant information to a wide range of decision-makers. View Full-Text
Keywords: land use/land cover classification; high resolution; urban ecology; urban planning; Google Earth; true color satellite image; green infrastructure; Nicaragua; León land use/land cover classification; high resolution; urban ecology; urban planning; Google Earth; true color satellite image; green infrastructure; Nicaragua; León
Show Figures

Figure 1

MDPI and ACS Style

Chapa, F.; Hariharan, S.; Hack, J. A New Approach to High-Resolution Urban Land Use Classification Using Open Access Software and True Color Satellite Images. Sustainability 2019, 11, 5266.

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.

Article Access Map by Country/Region

1
Back to TopTop