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Spatial modelling for food vulnerability using remote sensing data and GIS (study case in Klungkung Regency, Bali)

机译:使用遥感数据和GIS的食品漏洞的空间建模(Klungkung Regency,Bali)

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Food insecurity is an important thing that must be reviewed because it relates to the lives of many people. Food security is composed of subsystems, availability, distribution, and consumption so that if one of subsystem is not well functioning, there will be a problem of food insecurity. Remote sensing can help us to review food insecurity spatially through land critical levels, erosion potential level, and PUSO (crop failure) potential level. The erosion potential is influenced by rainfall and slope that can be obtained from interpolation of rainfall stations and the elevation points. Land critical level is influenced by the percentage of canopy cover, drainage, and soil solum thickness. While PUSO potential can be obtained from flood potential and rainfall intensity. With remote sensing, we can map the locations that were suffered from food insecurities. Thus, adequate distribution of food needs for the community can be done by the local government. Beside of the physical factors, for the distribution of food insecurity area is also influenced by the population income which locates the insecure area in poverty line, in conclusion, this Food Insecurity Map is very helpful for identifying the food needs of the local community, remote sensing data that used are Landsat 8 Imagery and Rapid-Eye Imagery in 2013 to produce Food Insecurity Map in Klungkung, Bali.
机译:粮食不安全是必须审查的重要事项,因为它与许多人的生命相关。粮食安全由子系统,可用性,分配和消费组成,以至于如果子系统中的一个不起作力,将存在粮食不安全的问题。遥感可以帮助我们通过土地临界水平,侵蚀潜在水平和PUSO(作物失败)潜在水平空间地审查食物不安全。侵蚀潜力受降雨量和坡度的影响,可以从降雨站和仰角点的插值获得。土地临界水平受到顶篷覆盖,排水和土壤厚度的百分比的影响。虽然PUSO电位可以从洪水潜力和降雨强度获得。通过遥感,我们可以映射遭受食物不安全感的地点。因此,可以由当地政府采取足够的粮食需求分配。除了物理因素之外,对于粮食不安全区域的分配也受到人口收入的影响,这些人口收入位于贫困线中的不安全区域,总之,这种粮食不安全地图对识别当地社区的粮食需求非常有帮助在2013年使用的传感数据使用是Landsat 8图像和快速眼图像,以在巴厘岛克隆康省生产食物不安全地图。

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