In this study, we compared pixel-based image analysis and object-based image analysis (OBIA) as methods of land cover classification of urban areas, using high resolution digital aerial photography. The study area was Setagaya Ward, Tokyo, Japan, and we carried out supervised classification using aerial photographs with 25-cm spatial resolution, and with both visible bands and a near infrared band. The overall accuracy of the object-based classification was approximately 6 to 20 percentage points higher than that of the pixel-based classification.
Search results
Showing items 1 through 9 of 7.-
Library ResourceJournal Articles & BooksJuly, 2017Japan
-
Library ResourceJournal Articles & BooksJuly, 2017Myanmar
Yangon, the former capital of Myanmar, is the major economic areas of the country. Also, the urban areas have significantly increased. However, Yangon has problems with disasters such as flood and earthquake. To support disaster risk management in Yangon, Myanmar, the estimation of urban expansion is required to understand the mechanism of urban expansion and predict urban areas in the future. This research proposed a methodology to develop urban expansion modeling based the dynamic statistical model using Landsat Time-Series and GeoEye Images.
-
Library ResourceJournal Articles & BooksReports & ResearchAugust, 2017Uganda
An estimated 60 per cent of the world’s 17 million refugees currently reside in cities, where they often lack access to financial assistance and legal protection.(1) In their absence, displaced populations depend on participation in formal and, more frequently, informal markets for livelihood generation.
-
Library ResourcePeer-reviewed publicationJuly, 2017
Urban green spaces provide important recreational, social and psychological benefits to stressed city residents. This paper aims to understand the importance of parks for visitors. We focus on Delhi, the world’s second most populous city, drawing on 123 interviews with park visitors in four prominent city parks. Almost all respondents expressed the need for more green spaces. Visitors valued parks primarily for environmental and psychological/health benefits.
-
Library ResourcePeer-reviewed publicationJuly, 2017
This study uses a spatially-explicit land-use/land-cover (LULC) modeling approach to model and map the future (2016–2030) LULC of the area surrounding the Laguna de Bay of Philippines under three different scenarios: ‘business-as-usual’, ‘compact development’, and ‘high sprawl’ scenarios. The Laguna de Bay is the largest lake in the Philippines and an important natural resource for the population in/around Metro Manila.
-
Library ResourcePeer-reviewed publicationJuly, 2017Slovakia
Urban expansion and its ecological footprint increases globally at an unprecedented scale and consequently, the importance of urban greenery assessment grows. The diversity and quality of urban green spaces (UGS) and human well-being are tightly linked, and UGS provide a wide range of ecosystem services (e.g., urban heat mitigation, stormwater infiltration, food security, physical recreation).
-
Library ResourcePeer-reviewed publicationJuly, 2017
One of the major consequences of expansive urban growth is the degradation and loss of productive agricultural land and agroecosystem functions. Four landscape metrics—Percentage of Land (PLAND), Mean Parcel Size (MPS), Parcel Density (PD), and Modified Simpson’s Diversity Index (MSDI)—were calculated for 1 km × 1 km cells along three 50 km-long transects that extend out from the Adelaide CBD, in order to analyze variations in landscape structures. Each transect has different land uses beyond the built-up area, and they differ in topography, soils, and rates of urban expansion.
Land Library Search
Through our robust search engine, you can search for any item of the over 64,800 highly curated resources in the Land Library.
If you would like to find an overview of what is possible, feel free to peruse the Search Guide.