Settlement location and population density estimation in rugged terrain using information derived from Landsat ETM and SRTM data
| Autor: | Daniele Ehrlich, Sarah Mubareka, Ferdinand Bonn, Francois Kayitakire |
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| Rok vydání: | 2008 |
| Předmět: | |
| Zdroj: | International Journal of Remote Sensing. 29:2339-2357 |
| ISSN: | 1366-5901 0143-1161 |
| DOI: | 10.1080/01431160701422247 |
| Popis: | It is useful to have a disaggregated population database at uniform grid units in disaster situations. This study presents a method for settlement location probability and population density estimations at a 90 m resolution for northern Iraq using the Shuttle Radar Topographic Mission (SRTM) digital terrain model and Landsat Enhanced Thematic Mapper satellite imagery. A spatial model each for calculating the probability of settlement location and for estimating population density is described. A randomly selected subset of field data (equivalent to 50%) is first analysed for statistical links between settlement location probability and population density; and various biophysical features which are extracted from Landsat or SRTM data. The model is calibrated using this subset. Settlement location probability is attributed to the distance from roads and water bodies and land cover. Population density can be estimated based upon land cover and topographic features. The Landsat data are processed using a segmentation and subsequent feature-based classification approach making this method robust to seasonal variations in imagery and therefore applicable to a time series of images regardless of acquisition date. The second half of the field data is used to validate the model. Results show a reasonable estimate of population numbers (r = 0.205, p |
| Databáze: | OpenAIRE |
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