Defining approaches to settlement mapping for public health management in Kenya using medium spatial resolution satellite imagery
Defining approaches to settlement mapping for public health management in Kenya using medium spatial resolution satellite imagery
This paper presents an appraisal of satellite imagery types and texture measures for identifying and delineating settlements in four Districts of Kenya chosen to represent the variation in human ecology across the country. Landsat Thematic Mapper (TM) and Japanese Earth Resources Satellite-1 (JERS-1) synthetic aperture radar (SAR) imagery of the four districts were obtained and supervised per-pixel classifications of image combinations tested for their efficacy at settlement delineation. Additional data layers including human population census data, land cover, and locations of medical facilities, villages, schools and market centres were used for training site identification and validation. For each district, the most accurate approach was determined through the best correspondence with known settlement and non-settlement pixels. The resulting settlement maps will be used in combination with census data to produce medium spatial resolution population maps for improved public health planning in Kenya.
42-52
Tatem, A.J.
523ebe81-8cd8-414e-8e68-cc4d30f7282b
Noor, A.M.
f74f1788-1653-4b64-8410-94d7258efa47
Hay, S.I.
067a664b-0123-405d-85e8-e9c99d168054
30 October 2004
Tatem, A.J.
523ebe81-8cd8-414e-8e68-cc4d30f7282b
Noor, A.M.
f74f1788-1653-4b64-8410-94d7258efa47
Hay, S.I.
067a664b-0123-405d-85e8-e9c99d168054
Tatem, A.J., Noor, A.M. and Hay, S.I.
(2004)
Defining approaches to settlement mapping for public health management in Kenya using medium spatial resolution satellite imagery.
Remote Sensing of Environment, 93 (1-2), .
(doi:10.1016/j.rse.2004.06.014).
Abstract
This paper presents an appraisal of satellite imagery types and texture measures for identifying and delineating settlements in four Districts of Kenya chosen to represent the variation in human ecology across the country. Landsat Thematic Mapper (TM) and Japanese Earth Resources Satellite-1 (JERS-1) synthetic aperture radar (SAR) imagery of the four districts were obtained and supervised per-pixel classifications of image combinations tested for their efficacy at settlement delineation. Additional data layers including human population census data, land cover, and locations of medical facilities, villages, schools and market centres were used for training site identification and validation. For each district, the most accurate approach was determined through the best correspondence with known settlement and non-settlement pixels. The resulting settlement maps will be used in combination with census data to produce medium spatial resolution population maps for improved public health planning in Kenya.
This record has no associated files available for download.
More information
Published date: 30 October 2004
Organisations:
University of Southampton
Identifiers
Local EPrints ID: 344475
URI: http://eprints.soton.ac.uk/id/eprint/344475
ISSN: 0034-4257
PURE UUID: 3be5c146-89f9-4534-a123-94f1737346d8
Catalogue record
Date deposited: 25 Oct 2012 08:38
Last modified: 14 Mar 2024 12:14
Export record
Altmetrics
Contributors
Author:
A.J. Tatem
Author:
A.M. Noor
Author:
S.I. Hay
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics