Detecting informal buildings from high resolution quickbird satellite image, an application for insitu [sic.] upgrading of informal setellement [sic.] for Manzese area - Dar es Salaam, Tanzania.
Documentation and formalization of informal settlements ("insitu" i.e. while people continue to live in the settlement) needs appropriate mapping and registration system of real property that can finally lead into integrating an informal city to the formal city. For many years extraction of geospatial data for informal settlement upgrading have been through the use of conventional mapping, which included manual plotting from aerial photographs and the use of classical surveying methods that has proved to be slow because of manual operation, very expensive, and requires well-trained personnel. The use of high-resolution satellite image like QuickBird and GIS tools has recently been gaining popularity to various aspects of urban mapping and planning, thereby opening-up new opportunities for efficient management of rapidly changing environment of informal settlements. This study was based on Manzese informal area in the city of Dar es salaam, Tanzania for which the Ministry of Lands and Human Settlement Development is committed at developing strategic information and decision making tools for upgrading informal areas using digital database, Orthophotos and Quickbird satellite image. A simple prototype approach developed in this study, that is, 'automatic detection and extraction of informal buildings and other urban features', is envisaged to simplify and speedup the process of land cover mapping that can be used by various governmental and private segments in our society. The proposed method, first tests the utility of high resolution QuickBird satellite image to classify the detailed 11 classes of informal buildings and other urban features using different image classification methods like the Box, maximum likelihood and minimum distance classifier, followed by segmentation and finally editing of feature outlines. The overall mapping accuracy achieved for detailed classification of urban land cover was 83%. The output demonstrates the potential application of the proposed approach for urban feature extraction and updating. The study constrains and recommendations for future work are also discussed.
Showing items related by title, author, creator and subject.
Exploring perceptions of clients with regards to National Health Insurance services in a selected public hospital in Dar Es Salaam, Tanzania. Omari, Minael Nathanael. (2015)Background: The National Health Insurance (NHI) of Tanzania is commonly known as the National Health Insurance Fund (NHIF). The scheme operates under the supervision of the Ministry of Health and Social Welfare (MOHSW) ...
Policies and regulatory frameworks influencing trends of work-related fatalities and severe injuries in the construction industry in Dar-es-Salaam region, Tanzania, 1980-2009. Matiko, Joshua Mwita. (2012)Introduction Despite the existence of data in the Labour Commissioner’s Accident and Occupational Diseases Register of Tanzania, trends in the frequency of work-related fatalities and severe injuries in the construction ...
The use and effectiveness of the East Africana collection in the provision of information and resources for teaching and research at the University of Dar Es Salaam, Tanzania. Kibakaya, Naendwa Timothy. (2000)This study investigated the use and effectiveness of the East Africana Collection in the provision of information and resource for teaching and research at the University of Dar es Salaam, Tanzania. The East Africana ...