Urban Risk Management: Essential Information and Role of Remote and Close Sensing

Paul Hofstee, L. Montoya, J.L. van Genderen

Research output: Contribution to journalArticleAcademic

Abstract

The multi-disciplinary research project Strengthening Local Authorities in Risk Management (SLARIM ), initialed by ITC, includes three case study cities in Asia. An important question the project aims to address is: what are the essential data for risk management, and how to access or create such data. The role of common sources (e.g. census data, cadastral data), data derived from remote sensing (i.e. high-resolution satellite imagery, aerial photos), and data from close sensing (i.e. field observation, including mobile GIS) to acquire essential risk management data will be discussed. Special attention is given to the question of the minimum area and to disaggregation of population data. A few examples are given of Lalitpur, Kathmandu Valley, Nepal.
Original languageUndefined
Pages (from-to)43-48
Number of pages6
JournalAsian Journal of Geoinformatics
Volume5
Issue number4
Publication statusPublished - 2005

Keywords

  • EWI-21658
  • IR-81552

Cite this

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title = "Urban Risk Management: Essential Information and Role of Remote and Close Sensing",
abstract = "The multi-disciplinary research project Strengthening Local Authorities in Risk Management (SLARIM ), initialed by ITC, includes three case study cities in Asia. An important question the project aims to address is: what are the essential data for risk management, and how to access or create such data. The role of common sources (e.g. census data, cadastral data), data derived from remote sensing (i.e. high-resolution satellite imagery, aerial photos), and data from close sensing (i.e. field observation, including mobile GIS) to acquire essential risk management data will be discussed. Special attention is given to the question of the minimum area and to disaggregation of population data. A few examples are given of Lalitpur, Kathmandu Valley, Nepal.",
keywords = "EWI-21658, IR-81552",
author = "Paul Hofstee and L. Montoya and {van Genderen}, J.L.",
year = "2005",
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volume = "5",
pages = "43--48",
journal = "Asian Journal of Geoinformatics",
issn = "1513-6728",
publisher = "Asian Remote Sensing Research Information Network",
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Urban Risk Management: Essential Information and Role of Remote and Close Sensing. / Hofstee, Paul; Montoya, L.; van Genderen, J.L.

In: Asian Journal of Geoinformatics, Vol. 5, No. 4, 2005, p. 43-48.

Research output: Contribution to journalArticleAcademic

TY - JOUR

T1 - Urban Risk Management: Essential Information and Role of Remote and Close Sensing

AU - Hofstee, Paul

AU - Montoya, L.

AU - van Genderen, J.L.

PY - 2005

Y1 - 2005

N2 - The multi-disciplinary research project Strengthening Local Authorities in Risk Management (SLARIM ), initialed by ITC, includes three case study cities in Asia. An important question the project aims to address is: what are the essential data for risk management, and how to access or create such data. The role of common sources (e.g. census data, cadastral data), data derived from remote sensing (i.e. high-resolution satellite imagery, aerial photos), and data from close sensing (i.e. field observation, including mobile GIS) to acquire essential risk management data will be discussed. Special attention is given to the question of the minimum area and to disaggregation of population data. A few examples are given of Lalitpur, Kathmandu Valley, Nepal.

AB - The multi-disciplinary research project Strengthening Local Authorities in Risk Management (SLARIM ), initialed by ITC, includes three case study cities in Asia. An important question the project aims to address is: what are the essential data for risk management, and how to access or create such data. The role of common sources (e.g. census data, cadastral data), data derived from remote sensing (i.e. high-resolution satellite imagery, aerial photos), and data from close sensing (i.e. field observation, including mobile GIS) to acquire essential risk management data will be discussed. Special attention is given to the question of the minimum area and to disaggregation of population data. A few examples are given of Lalitpur, Kathmandu Valley, Nepal.

KW - EWI-21658

KW - IR-81552

M3 - Article

VL - 5

SP - 43

EP - 48

JO - Asian Journal of Geoinformatics

JF - Asian Journal of Geoinformatics

SN - 1513-6728

IS - 4

ER -