Assessing environmental impacts of urban growth using remote sensing. Issue 1 (2nd January 2020)
- Record Type:
- Journal Article
- Title:
- Assessing environmental impacts of urban growth using remote sensing. Issue 1 (2nd January 2020)
- Main Title:
- Assessing environmental impacts of urban growth using remote sensing
- Authors:
- Trinder, John
Liu, Qingxiang - Abstract:
- ABSTRACT: This paper provides a study of the changes in land use in urban environments in two cities, Wuhan, China and western Sydney in Australia. Since mixed pixels are a characteristic of medium resolution images such as Landsat, when used for the classification of urban areas, due to changes in urban ground cover within a pixel, Multiple Endmember Spectral Mixture Analysis (MESMA) together with Super-Resolution Mapping (SRM) are employed to derive class fractions to generate classification maps at a higher spatial resolution using an Artificial Neural Network (ANN) predicted Wavelet method. Landsat images over the two cities for a 30-year period, are classified in terms of vegetation, buildings, soil and water. The classifications are then processed using Indifrag software to assess the levels of fragmentation caused by changes in the areas of buildings, vegetation, water and soil over the 30 years. The extents of fragmentation of vegetation, buildings, water and soil for the two cities are compared, while the percentages of vegetation are compared with recommended percentages of green space for urban areas for the benefit of health and well-being of inhabitants. Changes in Ecosystem Service Values (ESVs) resulting from the urbanization have been assessed for Wuhan and Sydney. The UN Sustainable Development Goals (SDG) for urban areas are being assessed by researchers to better understand how to achieve the sustainability of cities.
- Is Part Of:
- Geo-spatial information science. Volume 23:Issue 1(2020)
- Journal:
- Geo-spatial information science
- Issue:
- Volume 23:Issue 1(2020)
- Issue Display:
- Volume 23, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 23
- Issue:
- 1
- Issue Sort Value:
- 2020-0023-0001-0000
- Page Start:
- 20
- Page End:
- 39
- Publication Date:
- 2020-01-02
- Subjects:
- Urban classification -- Multiple Endmember Mixture Analysis (MESMA) -- Super-Resolution Mapping (SRM) -- fragmentation of urban areas -- urban sustainability -- Sustainable Development Goals (SDG) -- Ecosystem Service Values (ESV)
Geographic information systems -- Periodicals
Cartography -- Data processing -- Periodicals
Surveying -- Data processing -- Periodicals
Remote sensing -- Periodicals
526.0285 - Journal URLs:
- http://www.springerlink.com/content/120480/ ↗
http://www.tandfonline.com/loi/tgsi20#.Vh45TZWFOig ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/10095020.2019.1710438 ↗
- Languages:
- English
- ISSNs:
- 1009-5020
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4158.896405
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21434.xml