Search results | Land Portal

Search results

Showing items 1 through 9 of 7.
  1. Library Resource
    Journal Articles & Books
    July, 2017
    Myanmar

    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.

  2. Library Resource
    Journal Articles & Books
    July, 2017
    Japan

    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.

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


Share this page