ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Data  (2)
  • GIS  (2)
  • Infrastructure
  • Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten  (1)
  • TRR228 Database (TRR228DB)  (1)
Collection
  • Data  (2)
Publisher
  • Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten  (1)
  • TRR228 Database (TRR228DB)  (1)
  • GFZ Data Services  (1)
Years
  • 1
    Publication Date: 2024-04-26
    Description: Abstract
    Description: This dataset includes a shapefile representing the digitized historical road network of Kenya. It contains over 56,000 km of historical roads extracted from 449 historical topographic maps of 1:50,000 scale and 71 maps of 1:100,000 scale covering the time period from the 1950s to the 1980s. The topographic maps were obtained from various sources in Kenya and the UK. Most of maps were collected in Kenya provided by the Survey of Kenya and several local county governments’ survey and urban planning departments. Additionally, some maps were obtained from archives in Great Britain, namely the Bodleian Library of the University of Oxford and the Cambridge University Library. All the acquired maps were originally created and published by the Directorate of Overseas Surveys (DOS), the War Office, General Staff, Geographical Section and the Survey of Kenya. The road data was extracted from these maps using deep learning techniques, including a Python script and ArcGIS Pro “Multi-Task Road Extractor” tool.
    Keywords: Infrastructure ; Imagery/Base Maps/Earth Cover ; Road Network ; Roads ; Geodata ; Historical Data ; Vector Data ; GIS ; Africa ; African History ; Historical Maps ; Infrastructure ; Road ; Geographic information system ; Data ; road network ; road ; data ; infrastructure development
    Type: Dataset , Shapefile
    Format: ESRI Shapefile
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2022-01-12
    Description: Abstract
    Description: Caves and rock shelters are important archives for archaeological research. Prehistoric men not only sheltered in caves but also set up camps in open-air locations. Over the last 15 years a joint research group, comprising INSAP (Institut National des Sciences de l’Archéologie et du Patrimoine du Maroc), KAAK (Kommission für Archäologie Außereuropäischer Kulturen, German Archaeology Institute) and the University of Cologne, has been carrying out surveys and excavations in the area of the Eastern Rif (NE-Morocco). Huge parts of the vast working area are poorly accessible and it is now realised that the whole area can only be covered using a remote sensing approach.The aim of this project is to integrate high resolution topographical, visual and geological data in order to develop models so that site locations can be predicted. Information from remote sensing (satellite image) and Geographic Information System (GIS) is used to identify an area in which carstic caves can occur and caves featuring archaeological remains may be located. The intersection of geological and topographical maps with QuickBird satellite imagery can then be used to quantify different features of identified caves. Based on the partially existing fans of sediment in front of the carstic caves, potential locations of caves in the defined area could be discovered.
    Description: SeriesInformation
    Description: 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. 121-129
    Keywords: Other ; None ; GIS ; Remote Sensing Methods ; Remote Sensing
    Type: Text , Book Section
    Format: 26396 Kilobytes
    Format: 9 Pages
    Format: PDF
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...