Name: Spatiotemporal analysis of impervious surface areas on the watersheds of Kaduna Metropolitan Area (en Inglés)
Price: 283622.00 COP
Availability: InStock
Author: Muhammad, Asadullah
ISBN: 9783346109620

portada Spatiotemporal analysis of impervious surface areas on the watersheds of Kaduna Metropolitan Area (en Inglés)

Formato

Libro Físico

Autor

Asadullah Muhammad

Editorial

Grin Verlag

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

21.0 x 14.8 x 0.5 cm

Peso

0.11 kg.

ISBN13

9783346109620

Categorías

Aspectos arquitectónicos
Geociencias

Spatiotemporal analysis of impervious surface areas on the watersheds of Kaduna Metropolitan Area (en Inglés)

Asadullah Muhammad (Autor) · Grin Verlag · Tapa Blanda

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Reseña del libro "Spatiotemporal analysis of impervious surface areas on the watersheds of Kaduna Metropolitan Area (en Inglés)"

Master's Thesis from the year 2014 in the subject Geography / Earth Science - Demographics, Urban Management, Planning, Birkbeck, University of London, language: English, abstract: The thesis is the first attempt of mapping impervious surface that offers a very simple and visual understanding of the health status of the watersheds within Kaduna metropolitan area. It examined the spatiotemporal growth of impervious surface areas in Kaduna metropolitan area, Nigeria in relation to the watersheds using the SAVI differencing approach. A supervised maximum likelihood algorithm was used to classify image derived from the SAVI differencing approach, for the time periods. A random sampling scheme was conducted to complete an accuracy assessment of the classification. Results from the watershed categorization indicate it took 36 years to establish the first degraded watershed, this is from 1973 to 2009, going by the prediction in the analysis, it will take less years, i.e. 20 years to establish the next degraded watershed in the study area. This study demonstrates the feasibility of mapping and categorizing watersheds associated with impervious surface areas, through the combination of remote sensing data (LANDSAT and ASTER) with the help of a GIS software (ArcGIS).