• Adrijana Car – Thomas Jekel – Josef Strobl – Gerald Griesebner (Eds.)

GI_Forum 2015, Volume 3

Journal for Geographic Information Science

Geospatial Minds for Society

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The Journal for Geographic Information Science issue 1-2015 presents peer-reviewed papers presented at the Geoinformatics Forum (www.gi-forum.org), held in Salzburg from July 7-10, 2015. The annual GI_Forum symposium provides a platform for dialogue among geospatial minds in an ongoing effort to support the creation of an informed GISociety.

In this issue, the following topics are addressed:
• GIScience Contributions for Society
• Learning with Geoinformation
• Earth Observation for Humanitarian Operations
• GI for Public Health
• Technical and Human Sensors
• Transportation Modelling
• Environmental GIS and Applications
Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
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Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
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GI_Forum 2015, Volume 3

ISSN 2308-1708
Online Edition
ISBN 978-3-87907-558-4
Print Edition
ISBN 978-3-7001-7826-2
Online Edition



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Austrian Academy of Sciences Press
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Risk Assessment of Agricultural Areas in Chon Buri, Thailand: A Composite Index on Sub-District Level

    Narong Pleerux

GI_Forum 2015, Volume 3, pp. 635-642, 2015/06/29

Journal for Geographic Information Science

Geospatial Minds for Society

doi: 10.1553/giscience2015s635


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doi:10.1553/giscience2015s635


Abstract

Climate variability and natural disasters are some of the main problems affecting agricultural land worldwide. In this study, climatic data, natural disaster data, and agricultural data were used to assess the climate risk of agricultural areas at sub-district level in Chon Buri province, Thailand. The data were aggregated using a composite index, the Agricultural Risk Index (ARI). The ARI values were scaled into three classes: low (<0.2500), medium (0.2500-0.5000), and high (>0.5000) risk. The results showed that the highest ARI value (0.6322) was found in Khokploh sub-district, which is a result of the high water consumption, the high number of agricultural areas, and the great distance from water resources. This index can be used for decision makers and government authorities to evaluate and monitor the risks in agricultural areas.

Published Online: 2015/06/29 12:49:23

Object Identifier: 0xc1aa5572 0x00324b16

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Rights: https://creativecommons.org/licenses/by-nd/4.0/