Title: Towards an automated monitoring of human settlements in South Africa using high resolution SPOT satellite imagery
Authors: KEMPER ThomasMUDAU NaleMANGARA PaidaPESARESI Martino
Publisher: International Center for Remote Sensing of Environment
Publication Year: 2015
JRC N°: JRC92445
URI: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/1389/2015/isprsarchives-XL-7-W3-1389-2015.html
http://publications.jrc.ec.europa.eu/repository/handle/JRC92445
DOI: 10.5194/isprsarchives-XL-7-W3-1389-2015
Type: Articles in periodicals and books
Abstract: Urban areas in sub-Saharan Africa are growing at an unprecedented pace. Much of this growth is taking place in informal settlements. In South Africa more than 10% of the population live in urban informal settlements. South Africa has established a National Informal Settlement Development Programme (NUSP) to respond to these challenges. This programme is designed to support the National Department of Human Settlement (NDHS) in its implementation of the Upgrading Informal Settlements Programme (UISP) with the objective of eventually upgrading all informal settlements in the country. Currently, the NDHS does not have access to an updated national dataset captured at the same scale using source data that can be used to understand the status of informal settlements in the country. This pilot study is developing a fully automated workflow for the wall-to-wall processing of SPOT-5 satellite imagery of South Africa. The workflow includes an automatic image information extraction based on multiscale textural and morphological image features extraction. The advanced image feature compression and optimization together with innovative learning and classification techniques allow a processing of the SPOT-5 images using the Landsat-based National Land Cover (NLC) of South Africa from the year 2000 as low-resolution thematic reference layers as. The workflow was tested on 42 SPOT scenes based on a stratified sampling. The derived building information was validated against a visually interpreted building point data set and produced an accuracy of 97 per cent. Given this positive result, is planned to process the most recent wall-to-wall coverage as well as the archived imagery available since 2007 in the near future.
JRC Directorate:Space, Security and Migration

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