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      GIS and Remote Sensing Application in Water Management in Agriculture Field

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            Abstract

            This document is meant to demonstrate the potential uses of remote sensing in managing water resources for irrigated agriculture and to create awareness among potential users. Researchers in various international programs have studied the potential use of remotely sensed data to obtain accurate information on land surface processes and conditions. These studies have demonstrated that quantitative assessment of the soil-vegetation-atmosphere transfer processes can lead to a better understanding of the relationships between crop growth and water management. Remote sensing and GIS was used to map the agriculture area and for detect the change. This was very useful for mapping availability and need of water resources but the problem was concentrating in data collection and analysis because this kind of information and expertise are not available in all country in the world mainly in the developing and under developed country or third world country. However, even though considerable progress has been made over the past 20 years in research applications, remotely sensed data remain underutilized by practicing water resource managers. This paper seeks to bridge the gap between researchers and practitioners first, by illustrating where research tools and techniques have practical applications and, second, by identifying real problems that remote sensing could solve. An important challenge in the field of water resources is to utilize the timely, objective and accurate information provided by remote sensing.

            Content

            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            31 May 2020
            Affiliations
            [1 ] Master of Science MSc
            Article
            10.14293/S2199-1006.1.SOR-.PPVTPO5.v1
            51e35951-2da2-4412-8d73-60f759a58573

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .


            Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            Agriculture,Statistics,Economics
            Water resources management, GIS Application,Remote sensing,Irrigated farming,soil-vegetation-atmosphere transfer process

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