Settlement process studies in developing countries using diverse remote sensing data types
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| Title: | Main Title: Settlement process studies in developing countries using diverse remote sensing data types |
| Descriptions: | Abstract: A typical situation in many developing countries is sparse data availability. Thus, many issues of applied research need to be tackled in spite of poor data disposability. We exemplify these issues in the coastal area of Benin in Western Africa by a time series using a grey scale aerial image (1995), QuickBird data (2002), and a colour aerial image (2007, scale 1:20000). Coastal regions are in general areas of high attraction worldwide. Due to migration and population growth, the coastal zone of Benin, like in other developing countries, encounters extreme land use pressure, causing conflicts of interest and fast changes. Especially settlement structures show high dynamics. In order to study these, dwellings need to be detected. The multitude of appearances of dwellings makes process analysis based on remotely sensed data a challenging – yet interesting – task. This paper shows how to analyse settlement processes in developing countries with heterogeneous remote sensing data sets, combining remote sensing with pattern recognition and GIS. At first, building detection was accomplished by manual digitization. In the next step, we made an initial attempt to develop automated methods for detecting dwellings. Both approaches for building detection were then followed by GIS-based process analysis. Finally, a comparison of both detection approaches based on quality assessments is presented and a thorough evaluation of the usability of automation is given. Series Information: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 131-142 |
| Identifier: | 10.5880/TR32DB.KGA92.17 (DOI) |
| Related Resource: | Is Part Of 0454-1294 (ISBN) |
Responsible Party
| Creators: | Ulrike Sturm-Hentschel (Author), Andreas C. Braun (Author), Stefan Hinz (Author), Joachim Vogt (Author) |
| Contributors: | Victoria Lenz-Wiedemann (Editor), Georg Bareth (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution) |
| Publisher: | Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten |
| Publication Year: | 2011 |
Topic
| Subjects: | Keywords: Change Detection, Remote Sensing, Remote Sensing Methods |
File Details
| Filename: | Sturm-Hentschel_et_al_2011_KGA92.pdf |
| Data Type: | Text - Book Section |
| Sizes: | 1601 Kilobytes 12 Pages |
| File Size: | 1.6 MB |
| Dates: | Created: 18.11.2010 Issued: 05.10.2011 |
| Mime Type: | application/pdf |
| Language: | English |
Constraints
| Download Permission: | Free |
| Licence: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Metadata Details
| Metadata Creator: | Constanze Curdt |
| Metadata Created: | 05.08.2013 |
| Metadata Last Updated: | 11.05.2021 |
| Subproject: | Z1 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Page Visits: | 373 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 1 |
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