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Application of remote sensing and GIS for assessing crop water demand

Published: 16 March 2019 Publication History

Abstract

Agriculture is the main activity of Thailand. Samut Songkhram province has been one of the major agricultural province that producing coconut, lychee and orchard. Water use or water demand of people depends on daily life activities. There are the extension of agriculture, industry, residence, and community which increase water demand. It can cause a problem of water use among urban, industrial and agricultural. The quality and quantity of water is an indicator for measure of the quality and yield of agricultural products. The aim of research is to estimate water use through geographic information system, and remote sensing from Landsat8 satellite. This research considers the main parameters which were; estimation of spatial rainfall runoff and quantity of evaporation, infiltration rate of the soil. To evaluate the amount of soil moisture in order to create soil moisture map for planning the utilization and management of water for agriculture. The classification of land use were to investigate from Landsat8 which shown currently agricultural area. The result showed the soil moisture which distributes in each area especially the agricultural area. This information can be used by agriculturists and related organizations to plan and make the decision of growing appropriate plants according to the soil moisture for the sustainability of the agriculture.

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    IEEA '19: Proceedings of the 8th International Conference on Informatics, Environment, Energy and Applications
    March 2019
    281 pages
    ISBN:9781450361040
    DOI:10.1145/3323716
    © 2019 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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    Published: 16 March 2019

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    Author Tags

    1. agricultural
    2. estimate water use
    3. geographic information systems
    4. remote sensing

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